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Paper Citation Record · LEDGER

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion

As of 3 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2603.02804.

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

pith.paper-citation-record.v1
2603.02804 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T17:14:13.175242Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T17:29:21.990455Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T17:37:26.273680Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact6
  • verified fuzzy8
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e00b7e8b-5067-4bb4-938f-70ab0642a199 · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Classification with Quantum Neural Networks on Near Term Processors

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:16:21.365442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:583cfaa7b94d49e404c619ffda17889423e6f05f3759957ec15f45bcf56c6b8c

Observation 54acf964-a684-47ea-adff-4a6bc16ed6c0 · outbound

This paper cites Mitarai, M.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Mitarai, M

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.778858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:b9819ab42a288c4332c78bdac8910207e1ef7ce486e642f65ce907f540cb5b89

Observation ab8760a9-72b6-49a9-bdf5-7c42928923e0 · outbound

This paper cites Cerezo, A.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Cerezo, A

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.737187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:25ed72c3cfecff448cbf4797419525ec01f8b39474223a5e1bd34b49bfeb8eed

Observation 8c277c72-fdef-4e12-aa0d-9c4586a54ddb · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.740328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:c71c41ddcf806487fda8c0cd408322020b9d8b815ffe2e79889ae4ce74ad3900

Observation 1703d5c7-f4e7-45f7-948c-deedfe74dd6d · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.765571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:b02ff701ae9871d25af5d58c6b6adb42b0cbf9a1ef239ab7acc6df2f0f701811

Observation ec677b0c-94ec-442d-95c4-3a52f16ba529 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion A Quantum Approximate Optimization Algorithm

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:16:21.369392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:bf8cd044178ce579bf75aad450b18933326aa984ec3461fa17b506996a7bcbe9

Observation bc16ea2d-462b-43a6-807f-e963d72d6dc2 · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.743156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:e68ad88679ea5351be436ef60cba055bf66c4f7e40c8bca52bc9a7334ac6e3d9

Observation 1ae2d7de-596b-4aa0-a840-4bdf752af93a · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.760712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:259830b410b301218aa4b2c79397b8b6a20cc857129d20390edc5193b3b37646

Observation b86d0de2-c0b8-4249-b5d4-67cd97063898 · outbound

This paper cites Cerezo, A.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Cerezo, A

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.763030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:c4e9239d82379e0648ff915d5d969996c92ee2e6eb76175c2ef712e86b1724a0

Observation fbe1808b-c550-4b21-8ea8-1fd33c7c604b · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.768063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:d238d786993a4ab792fa309d398c6184f61a9ade07cdea7b126c67be958331e3

Observation 51003e97-602c-48ee-8ab4-1c811b5eabfb · outbound

This paper cites Bittel, M.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Bittel, M

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.776084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:338b504a28a516c631fb252891591cea0a8a5d2120273544e694943814f35546

Observation 8760dc08-41f4-417e-bd57-55a264d277e4 · outbound

This paper cites Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:16:21.361557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:d0a02b1e4b6900b7dfa948512bfe9714e967bc209df07d19b58635a5e4d3b95d

Observation c171685a-6de2-4bdb-b9eb-bf257714501c · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.758204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:4f0979d6c4365fc60e5541ee9a6b7ee570b3c6db9685a444d40feaacde8fb4ca

Observation 67fa5d0c-4b48-48df-9ea6-59b335fde0af · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.773393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:6709f7357cc5d49079882724d13080bd4a7e8e4581b92c54b5eb714db185f52b

Observation d14b3420-fba5-49cb-bc81-497f91f80e14 · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.745585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:3e7652742ae2211c5d385cccee56c9f986f78056c166ad96bd9da06bf196678e

Observation f621eb04-4ceb-4aec-98fb-1dd3aee2bccd · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.755570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:4e137168ab8bbc22f3dcdb20025bebe906c3cb87c303512c98e3922373849396

Observation 80a70d1a-0149-4745-a98b-8bf1c83913ee · outbound

This paper cites Suzuki, Y.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Suzuki, Y

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.770712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:e2e41811e12abf618e136ef8e1992cbfd6e2a54d0ec65446b697901f6e4fa592

Observation 9a579ef5-7da4-45e8-9a14-44e6593511aa · outbound

This paper cites Quantum computing with Qiskit.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Quantum computing with Qiskit

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T17:16:20.978625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:76b0e4063a0517efcf4c0ee0c427cf9e799a1b67da3ad1756b9050b5a7e282d1

Observation 1efe3d09-e74b-4b96-a1c8-c322bc19a876 · outbound

This paper cites De Raedt, F.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion De Raedt, F

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.753190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:2f7cc73e3a85b501bd2bdbe7931bbdae1cf85150ae25e201241565088f7fda08

Observation 17d7be8b-baab-413f-8428-29ad80b705d5 · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.750831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:01b5c5485d72aaab3079a41ec640c079b4d7e98809b631c3f9eab5539fb60834

Observation 4e3f9550-6acb-4181-a2db-b5b27062092c · outbound

This paper cites Häner, D.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Häner, D

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.748445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:b9606b84603293f0ac9e23e6ffa80e9486d527f087a585eb9851fa6c2bc230ea

Observation 4735a939-93df-4cf2-b90c-5608a7cbb1a7 · outbound

This paper cites qHiPSTER: The Quantum High Performance Software Testing Environment.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion qHiPSTER: The Quantum High Performance Software Testing Environment

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:16:21.357729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:7bd3f0aab487d6ac268b4ffaf5cc2e894bb6b1b6859bc8618027ee2e7fc72ac9

Observation f9e9f1ec-1e03-41d8-bcbd-4a8aadcfa1c2 · outbound

This paper cites an unresolved cited work.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:16:21.733707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:bfccec4f70ee0f7ab95fb1eb25f9f47725a5933f3d2de091be9e2c0765ca2fc2

Observation ec7322ed-5ae8-4859-ad22-f98337b8f14f · outbound

This paper cites Efficient calculation of gradients in classical simulations of variational quantum algorithms.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Efficient calculation of gradients in classical simulations of variational quantum algorithms

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:16:21.353812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:dde0bbfcf176471159ac1a3d37e2449592c6f0f4bb9bf2319c3f03b8309efbc5

Observation 7dd765ee-13f1-4936-a3a6-ce03e4d6d119 · outbound

This paper cites Luo, J.-G.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion Luo, J.-G

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:16:21.726675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:d173c38740d5025855e21837527be8d82d0839f30ce61403828ca553e1d5aefb

Observation f386773c-1b62-4375-9043-0573fb6c6801 · outbound

This paper cites T., and Cox, D.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion T., and Cox, D

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:16:20.971997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:8f20d789571036717ef642e1a4db7fd910b149602e1a6f29a17d3177a4eb9333

Observation dcb36dc9-6d12-4f33-a169-4eeea1290f67 · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transforma- tion and Graph Compilation

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T17:16:20.963227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:95826536fd1f1afd33718f70e81221ac774a1dad4dd87329d05d718664e10ad3

Observation 1af9b172-4c68-4edf-8570-64796b459226 · outbound

This paper cites URL:https://github.com/mit-han-lab/torchquantum.

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion URL:https://github.com/mit-han-lab/torchquantum

Reference 28

Resolution
malformed identifier
raw_fallback, observed 2026-05-15T17:16:21.730206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:d450795162f895f381e4e703aed3e539b4af08669ce9daf0700f07064ec67c6b

Pith citing papers

Observation 0270f302-6b4f-4169-99c0-2a5b30e7d897 · inbound

A Sparse and Truncated State Vector Simulator for Peaked Circuits cites this paper.

A Sparse and Truncated State Vector Simulator for Peaked Circuits Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-10T17:37:26.275131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-10T17:29:21.990455Z digest=sha256:939c70168efa4c4618c7f2c0b366988584b7fa2042d0e6b714fb108da0f246e7