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Paper Citation Record · LEDGER

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning

As of 15 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 3 inbound Pith citation observations for arXiv:2411.14259.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.14259 v1

Coverage vector

measured 100 of 115 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:25:30.694003Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:25:30.281785Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T22:10:22.258852Z

Reference resolution

100 of 115 outbound references displayed

  • verified exact12
  • verified fuzzy19
  • unresolved68
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c529a3a-ce59-4dcd-b480-021970088ce0 · outbound

This paper cites Montanaro, npj Quantum Information 2, 15023 (2016).

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Montanaro, npj Quantum Information 2, 15023 (2016)

Reference 1

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Observation 9bce7603-fa44-45ec-841b-947067e6d6bd · outbound

This paper cites Quantum algorithms: A survey of applications and end-to-end complexities.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Quantum algorithms: A survey of applications and end-to-end complexities

Reference 2

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source=pdf_text observed=2026-08-12T15:25:30.292318Z digest=sha256:aaad52ff65b7a0362664f597ac58231d6c782c9a734589804ab4110ad32046f0

Observation ac67a20f-aca0-4d4f-8983-be6666b7b15c · outbound

This paper cites Babbush, N.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Babbush, N

Reference 3

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source=pdf_text observed=2026-08-12T15:25:30.296690Z digest=sha256:6a719a2a21535bffaa486e3c5cb5817c2961be40717b68006d4bca6099a38b3c

Observation 033953a4-e423-4e51-9096-96f977e935c8 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-12T15:25:30.300740Z digest=sha256:7fb2e43d96df03ff8cd7d6708e56da6e4ade73c77dd52d14c9b31558ae8c211c

Observation 8784c45f-ab9b-4e66-b74c-5a80e5af21df · outbound

This paper cites Clinton, T.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Clinton, T

Reference 5

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source=pdf_text observed=2026-08-12T15:25:30.305020Z digest=sha256:d20bc051e427285b8a73afc5b29eee15da4eff8c8ec1471069f124af5804afe6

Observation 8012d59f-c675-4e22-9c7a-eecea6888ee6 · outbound

This paper cites Alexeev et al., Future Generation Computer Systems 160, 666 (2024).

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Alexeev et al., Future Generation Computer Systems 160, 666 (2024)

Reference 6

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source=pdf_text observed=2026-08-12T15:25:30.309528Z digest=sha256:7e037e12d488d51d0f3ea6c85c2bb0cd96a219c5b275410679867f333fc08d87

Observation 1a6d9701-39c3-4e13-bb9a-19365a63de09 · outbound

This paper cites Di Meglio, K.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Di Meglio, K

Reference 7

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source=pdf_text observed=2026-08-12T15:25:30.313343Z digest=sha256:25af9f90668b55edf9588d36d5872f36388c829eb4f3989f0b0bd703ca632453

Observation 0f7b688f-5b5b-498a-ae24-627c1ca4e1f1 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-12T15:25:30.317537Z digest=sha256:dcb7fac695b7662f0a940c9ef3d9151b7037f209022224b5dbbbccd41c0f111b

Observation 875aaa74-3095-4613-b3f5-11547ecb69f8 · outbound

This paper cites McArdle, S.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning McArdle, S

Reference 9

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source=pdf_text observed=2026-08-12T15:25:30.322192Z digest=sha256:179b5512b2dca4e967d050a7b84044396e6b86cefb711cab201ca95da5f4c585

Observation 5745e025-ba23-4ed6-892f-328aa98e3094 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-12T15:25:30.326222Z digest=sha256:16ef91b67eb7c541019cc9ad91d0d4e9d62e5ba7270f918c17570eb5f67030f1

Observation 2ceffb08-fe5b-4863-8618-5a2f4c0c5c6f · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-12T15:25:30.330122Z digest=sha256:5961f8e778017f04b3fd6ea80614957b0efac6cb69a51a29961c0ce48e8de1c6

Observation d4c34aa3-e412-458c-bc40-acfbd75908cd · outbound

This paper cites Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Chemistry Beyond the Scale of Exact Diagonalization on a Quantum-Centric Supercomputer

Reference 12

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source=pdf_text observed=2026-08-12T15:25:30.333904Z digest=sha256:55e4ca6adb9e522d761010990b3bf4bd55a91d1c208c6b262a6658f448a94bf2

Observation 1049ab37-7c40-44db-9492-9386193e86d8 · outbound

This paper cites Santagati, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Santagati, A

Reference 13

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source=pdf_text observed=2026-08-12T15:25:30.338140Z digest=sha256:8c5e58ff5c9c270fddd83586ad8f1aa2f701f0d1ca33d6659e39d42de09e7882

Observation a2a7e76b-4577-48ac-9f3a-8dfe49fa7696 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4e644084-55a5-4188-aa19-d4714a6f0496 · outbound

This paper cites Herman, C.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Herman, C

Reference 15

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source=pdf_text observed=2026-08-12T15:25:30.345740Z digest=sha256:661a20f8c7739069f7848521aaf854b54effb46e260f54910562ef04d8fabee3

Observation 4416feef-37ab-4a49-9068-4f3f12edd215 · outbound

This paper cites Applications of Quantum Machine Learning for Quantitative Finance.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Applications of Quantum Machine Learning for Quantitative Finance

Reference 16

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source=pdf_text observed=2026-08-12T15:25:30.349724Z digest=sha256:711492782c6dba8bdcdd8559c0646ee33d2f06c6ce513a8e80f8fecd327d0176

Observation 9624348a-7536-4292-bc2a-4c48547bd763 · outbound

This paper cites Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning

Reference 17

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Observation afad5173-a204-4fa6-b8eb-6f7670ffa259 · outbound

This paper cites Abbas, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Abbas, A

Reference 18

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source=pdf_text observed=2026-08-12T15:25:30.354734Z digest=sha256:22227ba60e36c717373ab2f1b86f6c6531efd5f1ea4ec136683602b9da1c3577

Observation d1dfe69d-e217-4c8c-ba41-7c54b61622a5 · outbound

This paper cites Heldens, P.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Heldens, P

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ec679064-41a5-424f-877f-9a7bb60a8b41 · outbound

This paper cites Mullowney, R.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Mullowney, R

Reference 20

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Observation e48d4891-8ca8-45a2-8292-9aed01c77e4e · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-12T15:25:30.368931Z digest=sha256:3a53320193b371a788405c2a28215a4233e472e460fbc5e36cf33c2b44f2a338

Observation 0dd634d9-1549-479e-9d5e-b571a990576b · outbound

This paper cites M ¨oller, Quantum scientific computing, in Impact of Sci- entific Computing on Science and Society , edited by P.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning M ¨oller, Quantum scientific computing, in Impact of Sci- entific Computing on Science and Society , edited by P

Reference 22

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Observation 06961d04-26de-43bb-b647-646eab501e91 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-12T15:25:30.375935Z digest=sha256:b019ff2ada13d0d17d5fdc0ca6d0193387173406f3209b83d8c7a22b73f4e0b1

Observation 74847128-9629-47df-9859-371603482d28 · outbound

This paper cites Martin, R.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Martin, R

Reference 24

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Observation f161e9e9-ac0b-449c-9c5d-cd444e9883fc · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-12T15:25:30.383307Z digest=sha256:e321e27fadfba68608d0afb2abc5014ddcb822d341d1247fa22e471c30f23d93

Observation cc0a0ed5-99b7-4aab-844b-dc8932e24c0a · outbound

This paper cites Montanaro and S.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Montanaro and S

Reference 26

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source=pdf_text observed=2026-08-12T15:25:30.387350Z digest=sha256:63dae9596fbf47af6e702cbbf79805b9561e4fe84b79cbd58895e60976b3c744

Observation 7424db45-6366-498a-91f5-ab2029daada7 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-12T15:25:30.391187Z digest=sha256:022e26f7245602f0dc01a0e730dd4718be1010d0f13d5c3db6ff29322d1f9db5

Observation 0f8fb5f0-523f-4193-aeef-14e59dad42ef · outbound

This paper cites Scherer, B.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Scherer, B

Reference 28

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Observation 4dfcb1d4-c9d7-423a-9c7f-a53fa31762fc · outbound

This paper cites Krovi, Quantum 7, 913 (2023).

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Krovi, Quantum 7, 913 (2023)

Reference 29

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Observation 9481fc40-2d09-4b74-b9c1-e17c241b8e29 · outbound

This paper cites Daribayev, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Daribayev, A

Reference 30

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Observation 0f89dafe-680c-4828-b1db-4dfa8de91a4d · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-12T15:25:30.407021Z digest=sha256:433b1585918e0f90d0deca1c0b28ae760eba962e653e83a84a705dfcbbb82f6e

Observation 9d1528f1-b3fa-4c47-9e0d-2d79e2e3ebcb · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-12T15:25:30.410836Z digest=sha256:ffb72c04565ee9d767f8bd27c4a60087ca2e35be27a5af762bbf1b60d84d3f29

Observation 75961912-57cf-4afe-b507-94c25208f340 · outbound

This paper cites Lin and Y.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Lin and Y

Reference 33

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source=pdf_text observed=2026-08-12T15:25:30.414755Z digest=sha256:ddec23ae99173ff8306720ded0e47540fbefa3c6e6e25e07dae2435bb1f53012

Observation dabde8ba-994b-4ba9-b8a7-42428e2db007 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-12T15:25:30.419257Z digest=sha256:b3871016f4ff346214a5a0186d4fe367652754ba6068611cfa87864e0657247c

Observation ba853181-3cab-408e-a80c-c7c9b69758d9 · outbound

This paper cites Subas ¸ı, R.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Subas ¸ı, R

Reference 35

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source=pdf_text observed=2026-08-12T15:25:30.423177Z digest=sha256:27baaf58d123980ddd9e12a233de684beeafb5d13c113583e2019a52590f0a39

Observation a9052160-1d0f-4797-b394-b3daed923133 · outbound

This paper cites Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Further improving quantum algorithms for nonlinear differential equations via higher-order methods and rescaling

Reference 36

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source=pdf_text observed=2026-08-12T15:25:30.427062Z digest=sha256:a47673b430abccecb8529cdf96bc68e5842562a1449369ff96d4b524e0feb05f

Observation 82c0dee2-b267-4155-926e-3bd7255894f6 · outbound

This paper cites Jennings, M.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Jennings, M

Reference 37

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source=pdf_text observed=2026-08-12T15:25:30.431433Z digest=sha256:5cddabfe494ebdc91a91539736ef2ea9dee9a24620635c24bc9ae4cba98fd060

Observation a019c8bc-545b-49d3-baa0-dd6feb66f8fc · outbound

This paper cites Succi, F.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Succi, F

Reference 38

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source=pdf_text observed=2026-08-12T15:25:30.436590Z digest=sha256:92e9a55371293cc9b3242cf04b568cd5c9620481f081ab0a6ad7e5c49e71521b

Observation 9e39509a-28c6-41f2-8350-8a8a0353a3a9 · outbound

This paper cites Steijl, Applied Sciences 13 (2023).

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Steijl, Applied Sciences 13 (2023)

Reference 39

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source=pdf_text observed=2026-08-12T15:25:30.440695Z digest=sha256:d885cc5a1b545fa37eddff3d9d5e28fcff6ca3f5e8503d91572bc799ec46dddf

Observation 0ad9362e-1dca-4525-b1bc-b7a5f6a21a68 · outbound

This paper cites Efficient and fail-safe quantum algorithm for the transport equation.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Efficient and fail-safe quantum algorithm for the transport equation

Reference 40

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source=pdf_text observed=2026-08-12T15:25:30.444526Z digest=sha256:6e208c894e68188a35e1a20ebdc592221e788497f36c1ea98766ea767fc31092

Observation ac77dbe0-6b87-4175-a5c1-840c4e53ef5f · outbound

This paper cites On the importance of data encoding in quantum Boltzmann methods.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning On the importance of data encoding in quantum Boltzmann methods

Reference 41

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local_arxiv, observed 2026-08-12T15:25:31.382563Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.448565Z digest=sha256:3a11af65af6f1bb8995b3b3b75b3281a409aac4827fe603c69abf653b437f877

Observation 5115efee-a2e4-46d1-b822-e1cba572bf98 · outbound

This paper cites Succi, W.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Succi, W

Reference 42

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source=pdf_text observed=2026-08-12T15:25:30.452771Z digest=sha256:274f90d35aee7a50b180cdd738703b07172c3936e606f85821b314335a55efc4

Observation 75d53294-eede-4a3b-8539-5c5924e0f236 · outbound

This paper cites Succi, W.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Succi, W

Reference 43

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source=pdf_text observed=2026-08-12T15:25:30.456415Z digest=sha256:9a58904b44629f4f1e9da5f1b7f00ff22d0e619fa501d021d213cb6277e53c28

Observation 62d70b31-6853-4793-8b54-54c6e6e247a5 · outbound

This paper cites Shao and H.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Shao and H

Reference 44

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source=pdf_text observed=2026-08-12T15:25:30.460056Z digest=sha256:53d61694919eb860cb0d2e2dbc79b94baff907c7bf3a6ef90ff5fa431e9bd5a9

Observation 6fb43ec6-452b-4495-b291-637da51d523e · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 45

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.463796Z digest=sha256:3642de7fc1cd12989ba018411b5b3b7be7a1000584c6134ba5e7e2b557fb669a

Observation bc6debb1-f846-4807-8b41-2cb319139263 · outbound

This paper cites Quantum Relaxation for Linear Systems in Finite Element Analysis.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Quantum Relaxation for Linear Systems in Finite Element Analysis

Reference 46

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local_arxiv, observed 2026-08-12T15:25:31.295666Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.467526Z digest=sha256:6f9d8acc7dd32aabba3e328dcfaa770d2de26f4af925d029bbc44ca736ffffae

Observation 046a41fc-4b07-45cd-a02a-dc54a51cd996 · outbound

This paper cites Quantum Multigrid Algorithm for Finite Element Problems.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Quantum Multigrid Algorithm for Finite Element Problems

Reference 47

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.471712Z digest=sha256:4bac61efd0b61f0fc7ed8ca8c589901577334b421361d4352c8419ee8000ffbd

Observation aafb7ec8-685a-4dd7-99ff-c84f016e79a1 · outbound

This paper cites Quantum simulation of discrete linear dynamical systems and simple iterative methods in linear algebra via Schrodingerisation.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Quantum simulation of discrete linear dynamical systems and simple iterative methods in linear algebra via Schrodingerisation

Reference 48

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source=pdf_text observed=2026-08-12T15:25:30.475812Z digest=sha256:d92c19b18a9ce6c64a3701714b7c487d0a8875d8c6dc39e9ee6886f743c46706

Observation 825ce2fd-f0ed-43a5-af64-cd2752408e74 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-12T15:25:30.479687Z digest=sha256:31920fb0ebac7a88568d001805896df02bf628464e238678d75a3461ff926aad

Observation 2ddb3280-ea7f-4657-845f-621b819f5b06 · outbound

This paper cites Huang, R.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Huang, R

Reference 50

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source=pdf_text observed=2026-08-12T15:25:30.483480Z digest=sha256:c7cadf8741a27a4709056bd36b187a46e7aebaee1bbbb54eb8185f7b59e46108

Observation 1f85b18f-6e75-464e-bbdb-ef5c864a878f · outbound

This paper cites Jerbi, C.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Jerbi, C

Reference 51

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source=pdf_text observed=2026-08-12T15:25:30.488109Z digest=sha256:1e8de42c193c1888eca1f85f0943a6edb8b3abc04dc1c914ab2ade0ce77fcd4c

Observation 920a62ea-d909-4ef0-aa72-c8c2fa5d24d6 · outbound

This paper cites A hybrid framework for estimating nonlinear functions of quantum states.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning A hybrid framework for estimating nonlinear functions of quantum states

Reference 52

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verified exact
local_arxiv, observed 2026-08-12T15:25:31.248444Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.491917Z digest=sha256:1f1e08109bde5769b815e286515325778f5008ad78d10e6b0eb439e6e28b47d2

Observation ceb95c53-b705-4afb-a729-7704b80857d3 · outbound

This paper cites Biamonte, P.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Biamonte, P

Reference 53

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source=pdf_text observed=2026-08-12T15:25:30.496085Z digest=sha256:bdfa309ceab9523c2128bd40c98d9ed13970c91ab75b6973b30c34a11f3570bf

Observation c137094b-dd08-4cc3-926d-62faf48391a2 · outbound

This paper cites Linden, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Linden, A

Reference 54

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.499941Z digest=sha256:8414f4ec20bf5139635593b55f9fe4269980b117850ab4c36b0b39179d667752

Observation 351cee9d-88c7-4d53-93ed-cc2b7bb72ae5 · outbound

This paper cites Lloyd, M.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Lloyd, M

Reference 55

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source=pdf_text observed=2026-08-12T15:25:30.504733Z digest=sha256:e92bfade9b6dc44d808321e5c60a4f387f01034b99f168ae366d928b747dc3a2

Observation 674cfcd1-56ec-4ee5-bd8b-c63bda73362c · outbound

This paper cites Benedetti, E.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Benedetti, E

Reference 56

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.509665Z digest=sha256:2e1c30d2ebb72853112e6dd6071b5f690070fd8bb774f72e0d92aa0892886193

Observation 0d148572-dccd-439a-af3e-be3d5316bdaf · outbound

This paper cites Wiebe, D.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Wiebe, D

Reference 57

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raw_fallback, observed 2026-08-12T15:25:32.044332Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.514795Z digest=sha256:8e19fb048e50dca9c182244111672ca05d87777593b1176471c278f5f77250ac

Observation c987b970-fcdc-4cc6-a539-6e8af2667997 · outbound

This paper cites Rebentrost, M.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Rebentrost, M

Reference 58

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source=pdf_text observed=2026-08-12T15:25:30.518905Z digest=sha256:085142a0d4e1ce85ea9193d7dd587adf6997ec6cbde4802b7ce5c55193b87148

Observation dcf8dfe3-8978-4b09-9f08-329c532daffb · outbound

This paper cites Schuld, I.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Schuld, I

Reference 59

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source=pdf_text observed=2026-08-12T15:25:30.522762Z digest=sha256:51dc7f649caf7a98c1911e5b8b77aa1e71eb320be3222b8cfb706cefc925afb0

Observation 43068a14-e841-4d58-b25b-90b33c50e6d1 · outbound

This paper cites Schuld and N.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Schuld and N

Reference 60

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source=pdf_text observed=2026-08-12T15:25:30.526276Z digest=sha256:1a866a8b8318964d49e06bc405e3f472cb09817cc84a853c9b5c5c6fc21c443b

Observation 1dda8d93-e4dc-4cc0-9a00-0666cb2c2905 · outbound

This paper cites Schuld and N.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Schuld and N

Reference 62

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.534820Z digest=sha256:03d0ab5e2d9c51f4ad1306913c13bccf064bbfcaffcd8e6a2d9cdfec7f3283f4

Observation b614475c-b32b-4908-a00f-11b060b9f3a1 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 63

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.539489Z digest=sha256:03a77526ce2cb6851d1ce7eb211ff39c476b924a4b7c02fd0c8a78c043ac5841

Observation dec6917e-4c99-4158-87aa-6444260421d5 · outbound

This paper cites Supervised quantum machine learning models are kernel methods.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Supervised quantum machine learning models are kernel methods

Reference 64

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source=pdf_text observed=2026-08-12T15:25:30.543325Z digest=sha256:22ae64109ab57d3f6a6086c6b37d207c1cf185a058b16ad5ad97d3af8f6f062a

Observation 1684d385-0ac8-43f0-94ef-bc2f80e13827 · outbound

This paper cites Schuld, R.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Schuld, R

Reference 65

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source=pdf_text observed=2026-08-12T15:25:30.547316Z digest=sha256:8e67031b573ac8d0a668163f9608d2b8322b8c43d8f847320afd4ba977cb7e6e

Observation 1af9c9c8-7f90-4b89-83d0-b2b44148896b · outbound

This paper cites Abbas, D.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Abbas, D

Reference 66

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source=pdf_text observed=2026-08-12T15:25:30.552284Z digest=sha256:fa77b68993cbb246a654b3feb7968034fb9fa10ae2a0567b01ee42566b4a227c

Observation dd407c50-2bdd-4c1b-8bf4-c7fedd902f6b · outbound

This paper cites Liu and L.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Liu and L

Reference 67

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raw_fallback, observed 2026-08-12T15:25:31.932366Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.556139Z digest=sha256:9302a7b2d588aee0e062da88cb2c3076a762079c6c712eef4491d8a8fddeb108

Observation 7e5124fa-abf1-4a20-aa1f-517c4b873b5d · outbound

This paper cites Zoufal, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Zoufal, A

Reference 68

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.559998Z digest=sha256:3f57c28ef2ded9a1351cfbd1fbbeef4da07df7107f5b446a14cf220eea64e90c

Observation 861e282e-25e1-449f-8b72-6200d5d34510 · outbound

This paper cites Coyle, D.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Coyle, D

Reference 69

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raw_fallback, observed 2026-08-12T15:25:31.908383Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.563662Z digest=sha256:746cf867b80b94f3100f489fe85a5544eb81c8bfd6fbcf028489110b9d47bba7

Observation 4c39d150-3d3a-42ee-8dd0-124ec52bb183 · outbound

This paper cites Kyriienko, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Kyriienko, A

Reference 70

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raw_fallback, observed 2026-08-12T15:25:31.896157Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.567475Z digest=sha256:af42a742d732d3ac845b9e160bcabc733887f91f3665b13153ea81f0d2e88012

Observation fd7ec761-21fc-4879-9acb-46303a2910f3 · outbound

This paper cites Kasture, O.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Kasture, O

Reference 71

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raw_fallback, observed 2026-08-12T15:25:31.884601Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T15:25:30.571315Z digest=sha256:625b510c06b98be5fb322c053288086d31e21588b180a91697189837013d67ab

Observation 8507d7d8-125e-4f5e-a00e-c17bfd1060ca · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 72

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raw_fallback, observed 2026-08-12T15:25:31.872551Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.574868Z digest=sha256:1bb6b835ff3a72ad1c54796d567b0ea28564e555abdba9e1dcb194bbde75a35f

Observation bda5dd8e-6419-4046-aa71-b74878bed05c · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 73

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no resolver link, observed 2026-08-12T15:25:30.578817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.578817Z digest=sha256:f578e17129c5494f5e134d5717062f65ebe942b94982c6a75dfe18a611014347

Observation cccbbc3c-6228-49c4-89d0-79ad6087a8f1 · outbound

This paper cites Kyriienko, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Kyriienko, A

Reference 74

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raw_fallback, observed 2026-08-12T15:25:31.858904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.582922Z digest=sha256:d4bed1b9faea6c71f1e419809460cb759d83f5eaed4797a2163f66f0e4c3c8c4

Observation 7523387d-c75d-4136-b803-0bbe4ae2b584 · outbound

This paper cites Quantum Model-Discovery.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Quantum Model-Discovery

Reference 75

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.586655Z digest=sha256:54cd19d9d759bd0c7c52103a5ad7e5a065d678cddbdc0f1fd5f02e616e5bcc68

Observation 3cb7cc57-2a7f-4fe8-b07a-bf1b25660966 · outbound

This paper cites Markidis, Frontiers in Applied Mathematics and Statistics 8 (2022).

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Markidis, Frontiers in Applied Mathematics and Statistics 8 (2022)

Reference 76

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raw_fallback, observed 2026-08-12T15:25:31.844816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.592292Z digest=sha256:95d364039565d7f04ce194668cc9a70afec70c05867795675ff18ba0129f60b2

Observation 26a171b6-4172-4462-875c-a99cd155245f · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 77

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unresolved
raw_fallback, observed 2026-08-12T15:25:31.831892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.596518Z digest=sha256:98e78ead8d8d32ff48c2dfcf980a367c7febf12a900c416c65719adc59651a97

Observation e94098b9-9364-45bd-a595-801c50cd0929 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 78

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unresolved
raw_fallback, observed 2026-08-12T15:25:31.820351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.600232Z digest=sha256:31ef83a37940fd8f878f8190e476eb564752e03fb6bee5c34a4e3bd17156e050

Observation 5a5f62b1-a365-43f0-93c7-246892aa1e58 · outbound

This paper cites Jaderberg, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Jaderberg, A

Reference 79

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raw_fallback, observed 2026-08-12T15:25:31.808962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.604053Z digest=sha256:94bd4a480784074e10d3a308b3b6369fdf557f92fa4fd15cb3a3a03627a6d5a0

Observation 1e464c16-9078-4266-afd1-97f9308d406c · outbound

This paper cites Jaderberg, A.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Jaderberg, A

Reference 80

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raw_fallback, observed 2026-08-12T15:25:31.796763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.607733Z digest=sha256:4446b1662955a482a53ec06a7133ce0f7e7eb866304cd7601f5ba4519f696f5d

Observation 7390d6c2-a0a8-4122-8f84-bc008c3f0fe7 · outbound

This paper cites Holmes, K.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Holmes, K

Reference 81

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T15:25:30.611545Z digest=sha256:1804f460b86cb8f79ccfb3c0e5b331f62ba9ab7c1a0f807f91a465aabd40c030

Observation 8d2efd98-b792-43fb-b879-db12a7091dd9 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-12T15:25:30.615595Z digest=sha256:0a90144018c14a610515e0a61565410148f57b61f1a9c559cfad75823876fa85

Observation 6a903b2c-287a-4152-8807-816548567b11 · outbound

This paper cites The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\"atze.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ans\"atze

Reference 83

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source=pdf_text observed=2026-08-12T15:25:30.619925Z digest=sha256:f3a39fc2e87ff790b953de032af5b0d5c9a868bc6a2aad7ddd83d7cb244ad816

Observation 34d55cf5-5666-4ae1-bd40-263cac171219 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 84

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.623896Z digest=sha256:8649e90580a9df0a17ead26e6ffe6ad76b9f62daf040896c6f1778c9c873d62f

Observation 317c8b5d-41f4-4f58-9ffe-5196b0ab7db9 · outbound

This paper cites Pesah, M.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Pesah, M

Reference 85

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.627467Z digest=sha256:4bfea24c20371061c963d7dbe4e774491a41b62b15935020d104d45c3c140f5c

Observation 5255b2e2-f748-4d4a-94b1-ee561bd6480a · outbound

This paper cites Larocca, N.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Larocca, N

Reference 86

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.631270Z digest=sha256:d732cffc1e185d7658c7524a1e6be5e61abe3879a26d25286174c8e2afa9c8f4

Observation c05d04a8-c701-4b29-920d-56d857451a01 · outbound

This paper cites Variational quantum simulation: a case study for understanding warm starts.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Variational quantum simulation: a case study for understanding warm starts

Reference 87

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no resolver link, observed 2026-08-12T15:25:30.635437Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.635437Z digest=sha256:9994166f8f9f270751ec12fbfb0a11959f32dc00753db71500922543c5378a82

Observation 4cea4fc4-2f1c-4c02-91f4-4b1933b55340 · outbound

This paper cites Does provable absence of barren plateaus imply classical simulability?.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Does provable absence of barren plateaus imply classical simulability?

Reference 88

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no resolver link, observed 2026-08-12T15:25:30.639810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.639810Z digest=sha256:00c066d1ce2f8060777f488ee86e82aa6c547ec7c0a669e808c1bc680ded7d1e

Observation 820ca79f-c7ac-491c-9c41-20d92c91f5ca · outbound

This paper cites Huang, M.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Huang, M

Reference 89

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raw_fallback, observed 2026-08-12T15:25:31.735251Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.643972Z digest=sha256:3efe13074306ef383fe112da831b06ed3d7ad1bb3d19809845ab3fbf8fbe50bb

Observation 63173c16-a82a-4a12-beb9-489204366d3e · outbound

This paper cites Cerezo, G.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Cerezo, G

Reference 90

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raw_fallback, observed 2026-08-12T15:25:31.993905Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.649506Z digest=sha256:838c32a0ed605354091746b645c4574d8e819240b90ae4bcb837addf19343a06

Observation 436b57f6-d5d2-4e2d-967f-15854a63e6b9 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 91

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.653256Z digest=sha256:09191066e5b164c21854796a0b10abb6ebf9a9553924f3b429876412b58333f1

Observation 69739343-a4ce-4bcc-aec8-a4efcafa3522 · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 92

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.656984Z digest=sha256:58513b0ad2568e082559af61a117d99500effaf253ae1c6bec7b75ca8b9874aa

Observation 4b8aa73a-165f-4922-ba89-521ad41d4f07 · outbound

This paper cites What can we learn from quantum convolutional neural networks?.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning What can we learn from quantum convolutional neural networks?

Reference 93

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local_arxiv, observed 2026-08-12T15:25:31.175022Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.660846Z digest=sha256:d6e37ad3fc468826e6066365d857fd8cac1a53105b8662d03cad9d29f6f85d58

Observation dfe6dd90-b571-4e15-a62f-3147650c6c82 · outbound

This paper cites Understanding quantum machine learning also requires rethinking generalization.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Understanding quantum machine learning also requires rethinking generalization

Reference 94

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.665344Z digest=sha256:e3998f9a95eb68d7f4d6f58e762c57ccaff3f2212749f4e8fa6f1acf23cb298b

Observation b24d1b9a-98d0-4215-8ced-17ba9d634e96 · outbound

This paper cites Geometric quantum machine learning of BQP$^A$ protocols and latent graph classifiers.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Geometric quantum machine learning of BQP$^A$ protocols and latent graph classifiers

Reference 95

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local_arxiv, observed 2026-08-12T15:25:31.145057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.669037Z digest=sha256:8027c131a496d0c74cb64d1c690b3244b4a713e77543c3300c437f29db93b201

Observation 9b042d2f-4fde-413a-952b-a7e63244e405 · outbound

This paper cites Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?

Reference 96

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local_arxiv, observed 2026-08-12T15:25:31.128196Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.673286Z digest=sha256:6fe13da72dae90e0dadd10bed93f5652a548b2bb50cbc75e50734d6404eb89f3

Observation d03501f5-2877-4430-b23e-6df2da0a012c · outbound

This paper cites V olume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) (2022).

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning V olume 2: Multiphase Flow (MFTC); Computational Fluid Dynamics (CFDTC); Micro and Nano Fluid Dynamics (MNFDTC) (2022)

Reference 97

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raw_fallback, observed 2026-08-12T15:25:31.699733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.678556Z digest=sha256:408b68e7c0334ba94d8bf11747fb4e75c79ef9667669a730987419092d1cc845

Observation 804c598a-523f-4c35-8a9c-db6104a8631b · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 98

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.682788Z digest=sha256:920d444be90dde921f229bf18d387f21eac054f9ec293c4ef0165b4ca9de2660

Observation 57205dc6-71c0-4de2-9422-5afc69f235a0 · outbound

This paper cites Chen and R.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Chen and R

Reference 99

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doi, observed 2026-08-12T15:25:30.789514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.686368Z digest=sha256:77fb56834cdb0c04170e402080a3a483ae7b41b5e2eab8b9f64017c966990524

Observation f41b83b1-a4d7-4b84-8042-330b7accd17e · outbound

This paper cites an unresolved cited work.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Unresolved cited work

Reference 100

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T15:25:30.690296Z digest=sha256:c77b4ee3a70cce95c3722fd2c92913f1435b6d7115f2f0f7d265c9a82b68ddee

Observation 669e59f2-c23a-424e-a2f2-393bea5ae7f1 · outbound

This paper cites DiffEqFlux.jl - A Julia Library for Neural Differential Equations.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning DiffEqFlux.jl - A Julia Library for Neural Differential Equations

Reference 101

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.694003Z digest=sha256:ccdaf608ab5bce22f97fee7d8488fd86ae9da3ce587f3ee6582949fdfacf4b90

Pith citing papers

Observation 9624348a-7536-4292-bc2a-4c48547bd763 · inbound

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning cites this paper.

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning

Reference 17

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no resolver link, observed 2026-08-12T15:25:30.281785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.281785Z digest=sha256:d265db17cf097ee310dbbba82a0a3cba8177a6080a68859191f33582e387e170

Observation 473e52e9-f1a6-4d8f-97b3-2b1663e1cc13 · inbound

A Quantum Spectral Method for Non-Periodic Boundary Value Problems cites this paper.

A Quantum Spectral Method for Non-Periodic Boundary Value Problems Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning

Reference 43

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arxiv_id, observed 2026-05-17T22:10:22.261132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T22:08:55.117121Z digest=sha256:836a23d20bd13f9fd043fbd11c05770e0cb9db84c826147f3b2b335980db1791

Observation 95646677-63c4-4583-8a58-cde6d69a8e8f · inbound

Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty cites this paper.

Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning

Reference 69

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arxiv_id, observed 2026-05-11T15:11:05.538182Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-09T20:34:53.693699Z digest=sha256:e083cce0aba5a919e4ac3a5812fdcbd700c94a8b799099c8435acbd250d2ba37