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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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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source=pdf_text observed=2026-08-12T15:25:30.287516Z digest=sha256:88b39d10e919a351c4243f8801a537c9f42cb8936d1c44e1f23879a0a760b623

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=sha256:2b2306d0aa2451a7bb8ecc9158f6fc917ea91fa55fec4a60f441b02162e35dfe

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.341883Z digest=sha256:5e785727aa53fc79f2f09ef7e796de7751018045dd46a6bde9d0fb7d108f9c3f

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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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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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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source=pdf_text observed=2026-08-12T15:25:30.395838Z digest=sha256:c370102101421f8f48741203134ac6404da392d596af100dbea7ae89d88744c9

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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source=pdf_text observed=2026-08-12T15:25:30.448565Z digest=sha256:e298d78e5b7d420ee3e5b2d08b66c245df3fb1cf5b09bd8d4276248c0e2d4ddc

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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source=pdf_text observed=2026-08-12T15:25:30.463796Z digest=sha256:cde43c07dd2085431b35c55182f5b3ba04c6f94f14b6a9f88fa6e7f3ad5d8002

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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source=pdf_text observed=2026-08-12T15:25:30.467526Z digest=sha256:2e5b00c2f0939057f9bbdb71d140471c68880c7ff1dcd029b52aba2113b6272f

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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source=pdf_text observed=2026-08-12T15:25:30.471712Z digest=sha256:d1b247f478595811e6384a7480ce2195e27232b63c4e8c89a7dfa6d83dab81be

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=sha256:8ab687fcebd9d5e2dbcb08eb98ae298b22b673c8c0b972086095457b7d3f6c8f

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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source=pdf_text observed=2026-08-12T15:25:30.491917Z digest=sha256:c847a59f9193f17b3f69c8f45fa44604e7da6692ba71f0f0f4a2bcdbf6a0a722

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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source=pdf_text observed=2026-08-12T15:25:30.499941Z digest=sha256:7b69b11c80a9201587b938b36883049f691f7af70aa4cdc95b510b677facd5d7

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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source=pdf_text observed=2026-08-12T15:25:30.509665Z digest=sha256:ae1dfb5c4dd30cbdd827e72f8ce3511a54c273a12007815cdc4fa920bcc6a6f4

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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source=pdf_text observed=2026-08-12T15:25:30.514795Z digest=sha256:1c610a1432b9ab299b4683b39655866f0ac364c4700f6add0fad8ceeb1bf1826

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:e15eb205b7d572f096373c4b4d3a2168ce474f73835faea0a6afa5267837bba3

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=sha256:6979a0b6f399fdbe60d136dd7d8761b1b63d0c47ff88d3162cfe15b8bf6cf7e5

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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source=pdf_text observed=2026-08-12T15:25:30.534820Z digest=sha256:95e6bfb4f5dc12c34557a65260d6a0675b322b902ce3f7f93da7130eced6e290

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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source=pdf_text observed=2026-08-12T15:25:30.539489Z digest=sha256:0891c2673f3a0347bc9f72076e505522c3577d3fd675322033d44a926f12e435

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:b44bf3bd3fdd78a901b894e219a59f4af2a0f361ce6308e6297a7055a28507c0

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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source=pdf_text observed=2026-08-12T15:25:30.556139Z digest=sha256:386be9f7b158e42d0a36ae4c309dc61cda9a1ad8156606cb1c50b9d6654e2b9b

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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source=pdf_text observed=2026-08-12T15:25:30.559998Z digest=sha256:9d5a630f82b0458407f51fd762a812f1d472b4fe214a50d8b321539cb35d4730

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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source=pdf_text observed=2026-08-12T15:25:30.563662Z digest=sha256:6f9aaad8e7ceb0f354c43236dc268c717b3dbace2907884906c18b91f262b3be

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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source=pdf_text observed=2026-08-12T15:25:30.567475Z digest=sha256:092b9f857f495b16e88b513cc99e5511289cf0da9a4a801e4fb81cf0c15e3156

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

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source=pdf_text observed=2026-08-12T15:25:30.571315Z digest=sha256:dd3b80faa78d2e18b10b1c3079bb29ff8e3deaa947b07d399ca4f9cd71124c29

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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source=pdf_text observed=2026-08-12T15:25:30.574868Z digest=sha256:545e923d31bc96f4997c28291df3ab98570b4dccfa971a664b936422d0866d34

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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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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source=pdf_text observed=2026-08-12T15:25:30.582922Z digest=sha256:b713220a0a19ca594da5582e3861d178b7ae7a71ea7102266f3191366457fb8f

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=pdf_text observed=2026-08-12T15:25:30.586655Z digest=sha256:e6a1d08ac48cfa3a4aae45bfad933e741ca49582ca15a6762e7166c7bc46c3e4

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.592292Z digest=sha256:55f16250982e7f53688a6b38ccc5e2a77020de66ea21c69dd16e734296a2b483

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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source=pdf_text observed=2026-08-12T15:25:30.596518Z digest=sha256:5efc4cdd755130180ea27df8f31d2963ec9b8c61094d5e77ad34d79d067c5a0a

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.600232Z digest=sha256:955711defce8b8cfec2e2e8e75784601102bc7c418866d313c23dbcc10610c25

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.604053Z digest=sha256:212880dc9ff111bf23a9e0f91d5964acc1a1aadba434f517dbc1681e246467a8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.607733Z digest=sha256:2ea9d98938a438eeb41d6af58f830ea1368d7a47d0fcdf3c1baba0f38b8fc3de

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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no resolver link, observed 2026-08-12T15:25:30.611545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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Unavailable: canonical work link unavailable.

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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Unavailable: canonical work link unavailable.

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.623896Z digest=sha256:99a8ace35838c42c83966c20be01a4d5de0cb4f86625ded583622df3f21943ff

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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raw_fallback, observed 2026-08-12T15:25:31.747939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.631270Z digest=sha256:5cd10f75c5870ff837e6018b9a086b6ba2970ced3c7ee985b845507c2d723bd0

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

Source-reported events for the cited work

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.643972Z digest=sha256:7af3113ffb8bd8a240e86808a30d1054de30d64ca05de92a3a3aff7e77c0e608

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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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.649506Z digest=sha256:e733c8eac092fb8103e7bed1227c273196bf95a3e5f9e021d1069da7e8045c9b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.653256Z digest=sha256:7affe69c1bd39a1d737bc4058c1045b32e9f62260ce7654b4cd31a53be94dbf1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.656984Z digest=sha256:87a7223e99c8a2826a99ce53bb75268e9c8cfd7b414a2a23372003ba7ca1066c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.660846Z digest=sha256:35b8d3fada14f88b310bfc77526ee5135157db927de4be79685c308ef7cc6c8c

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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Source-reported events for the cited work

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.669037Z digest=sha256:a1803ad7fa8f06ccffdf49a128ae02bbb6dd23d1a4fe49d2cc3e3c5cd7ccc749

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.673286Z digest=sha256:b524c52f6865c54763ee949e7c989f496b3117048601a467220c5f113f3b45f0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.678556Z digest=sha256:1ee875767b94a92bd3149760339ecdd5ffbc9f43cc993747933e9c2ab754490a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.682788Z digest=sha256:4807e070781f7aa88bdce2eb19d850ab00ea3bc8f76b539e3de68cdc58a43c48

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.686368Z digest=sha256:f6d359240339f8460c6a04abcee8ffa0b0a7fe183e91088f0f86bc078c75ea7f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:25:30.690296Z digest=sha256:61eb438160e636fe815bac0484dfd7554bdc763215acc06a815aeb687078272e

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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no resolver link, observed 2026-08-12T15:25:30.694003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:25:30.694003Z digest=sha256:e6cad8ec3975dd9959c601add8bddb58dc4f45b4d5ebb8118d0adcb50f5c5053

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-17T22:08:55.117121Z digest=sha256:7226f9fcd4d5a3b22e92ec73a1ac82a7e8efc15290c0e4ec21d5dd8bdb575682

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T20:34:53.693699Z digest=sha256:5907fd81ccfb81f9043dd8797473a86f0b2d330a29a4565e17594f790ff063e2