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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 31 July 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 2026-07-31T06:34:12.847434+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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:f562a2bc4640e26641bc7bd2bcf5aa5f67a45279668c58d6d608d81cf72cb040

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:88cdc71b212c3e158eff1c8bcfb1b40479ce280cfca332ab9da99d26c980183d

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:9d305c412e0078d192a9974252ecf4100d349d447bdf96b99fc1d20888908e5f

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:c6839e6356d5bcac17766d59d8fb6c790b628a9b8d14adb1c79cf00215db6b36

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:3b9d6e83036681459975cf0c8bdc877034ed51d513cea56133d6e6218112f40b

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:a1e59c1fff20e29e7b3bf54530e5002e05e39ee95c5220d0444c266f3c826e28

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:3c9a4f3a9e6b59c5ec087f947c8e7268eaef0dd24bde4d814fa5a01f8c2cc3a9

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:bd677e04aea6c4dc80628f6d2093f35b596d14d03697d63ae973f6acbc9926f9

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:5d31f15afbf32043f1a37a1a4636191ff818a2772a3ff110d7c15ec771e5afa3

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:4ea825ef531ba9a9d49e5fb216f004078802adb656a077302c88c86e49f127fc

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:727c9e84385e9a4793a986ced97a82a7c074f69a43d07661da1f2c72b6efcba5

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:88f32d694f0f82e028835da9295a88cf3ca2f895a8ec0e8c6027a99cf11ef620

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:4b0e3c797fb0168c6cbbbec8405aa628c27e98e057b930e15c225069c5e3b49b

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:35b657254ba2e0d798fa0d95d57fecfc31016d48c98d8839927149c5317ef10a

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:995fc1b5967261c8444c6be16fe9576fa8b2b3a8300a67a99744704c24c98f98

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:3cb8e75f7dc9b8283cae26ac147e75e9b50562a5c9eb4f658b3fa4fa47480670

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:a503c5baff4beb039943d38db79e6383b7f58cee332fbe117a4ec4f36087a2dd

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:5bbdcdedb165e7ec25f1e6d4ade06b1ba6aeca08e31c3333d590921999b5cbf2

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:7c6051fe7a86a3f2c1321d4978530177d0ccc635741bbe1dff1871c7b6d1f043

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:c8afb7638d49309c0a74f6f8773397f52a6a907da8d9c728e666a71fe17b69ec

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:20d598ca0a6fcc532c2930c78586d730dbf775d9486554228ce00e54851e2798

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:1f70ebdffae09a23d7c163435d281c8c81376c0d2d376b4daeb4b4841fc27833

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:9d3d595443a4a6e1d330fdbde4120b6885daf5a402900d37095bc8e34cd9a33a

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:f6b720e1b32b825c3b94277fdd817e365c973a937693c861dd5edd366d5cb84d

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:e231e23d92c55b3d1417bc0c3544598017d061b5c734e526b54336951cec3366

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:f0132e819e0d2843be0903f75f8f0f797dafdbe8c1c369d619f16f8fda9c8ab2

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:9acc457809522a18a7d9d309b6ea40669cc4fa0610e3920562965ac4ad8df153

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-15T17:14:13.175242Z digest=sha256:c720e5563a776365767b79d6e6fa047736fed9446e7e2da0fbc6edb03c9d4057

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 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-07-10T17:29:21.990455Z digest=sha256:46394ce0a41903ea072defafc6aea977ebba76ba45f54b37862d6ddd4243fcb3