Paper Citation Record · LEDGER

Advances in Machine Learning: Where Can Quantum Techniques Help?

As of 18 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 3 inbound Pith citation observations for arXiv:2507.08379.

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

pith.paper-citation-record.v1
2507.08379 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:25:20.454604Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:10:57.353549Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

65 of 65 outbound references displayed

verified exact5
verified fuzzy6
unresolved41
parse uncertain0
malformed identifier8
metadata mismatch5

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 4f271caf-175c-4100-bdc8-e9965e2a0d20 · outbound

This paper cites Communications of the ACM 27, 1134– 1142 (1984) https://doi.org/10.1145/1968.1972.

Advances in Machine Learning: Where Can Quantum Techniques Help? Communications of the ACM 27, 1134– 1142 (1984) https://doi.org/10.1145/1968.1972

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.185724Z

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Observation 0d607340-f5e7-4824-b02a-4954043922cb · outbound

This paper cites IEEE Transactions on Neural Networks 10 (1999) https://doi.org/10.1109/72.788640.

Advances in Machine Learning: Where Can Quantum Techniques Help? IEEE Transactions on Neural Networks 10 (1999) https://doi.org/10.1109/72.788640

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.190662Z

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Observation cc4ae99a-b367-41c1-bd01-18788a52d6ac · outbound

This paper cites 9781107057135, (2013).

Advances in Machine Learning: Where Can Quantum Techniques Help? 9781107057135, (2013)

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:25:21.841648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 63d9dba7-12e4-422d-8485-030817bc4b28 · outbound

This paper cites Machine Learning 4, 67–97 (1989) https://doi.org/10.1007/BF00114804.

Advances in Machine Learning: Where Can Quantum Techniques Help? Machine Learning 4, 67–97 (1989) https://doi.org/10.1007/BF00114804

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.201071Z

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Observation 3593b0bb-3d30-460a-aee0-891ea32e0ea9 · outbound

This paper cites Cambridge University Press, Cambridge (1999).

Advances in Machine Learning: Where Can Quantum Techniques Help? Cambridge University Press, Cambridge (1999)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.206137Z

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Observation a52109ff-6cfe-45fe-814d-252606da6138 · outbound

This paper cites Theory of Probability & Its Applications 16, 264–280 (1971) https://doi.org/10.1137/1116025.

Advances in Machine Learning: Where Can Quantum Techniques Help? Theory of Probability & Its Applications 16, 264–280 (1971) https://doi.org/10.1137/1116025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.212425Z

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Observation 0ecb9373-0560-48cf-8c16-79f23982ba1f · outbound

This paper cites Journal of the ACM (JACM) 36 (1989) https: //doi.org/10.1145/76359.76371 22.

Advances in Machine Learning: Where Can Quantum Techniques Help? Journal of the ACM (JACM) 36 (1989) https: //doi.org/10.1145/76359.76371 22

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.218234Z

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Observation 25fe69f7-9134-404c-868a-04ddc2729b7a · outbound

This paper cites Springer, Cham (2021).

Advances in Machine Learning: Where Can Quantum Techniques Help? Springer, Cham (2021)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.222550Z

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Observation d9aad00f-6c07-45da-817c-87fd2f9bead1 · outbound

This paper cites Physical Review A - Atomic, Molecular, and Optical Physics 83 (2011) https://doi.org/10.1103/PhysRevA.83.032302.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review A - Atomic, Molecular, and Optical Physics 83 (2011) https://doi.org/10.1103/PhysRevA.83.032302

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.226746Z

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Observation 3602b85a-f35f-4bb4-86d5-61ede61772d8 · outbound

This paper cites https://arxiv.org/ abs/2405.20273.

Advances in Machine Learning: Where Can Quantum Techniques Help? https://arxiv.org/ abs/2405.20273

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:25:21.519270Z

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Observation 69cebc22-cd5f-404f-9e8a-b5ea95402641 · outbound

This paper cites IEEE Access12, 46118–46137 (2024) https://doi.org/10.1109/ACCESS.2024.3382150.

Advances in Machine Learning: Where Can Quantum Techniques Help? IEEE Access12, 46118–46137 (2024) https://doi.org/10.1109/ACCESS.2024.3382150

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:25:21.428173Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46cc0ed1-fb84-4897-939e-d18542877e0c · outbound

This paper cites Nature Physics 15, 1273–1278 (2019) https://doi.org/10.1038/s41567-019-0648-8.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Physics 15, 1273–1278 (2019) https://doi.org/10.1038/s41567-019-0648-8

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.239502Z

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Observation efa8e4cc-aca4-4a98-9c0d-253912e320b9 · outbound

This paper cites Accessed via ACM Digital Library (2018).

Advances in Machine Learning: Where Can Quantum Techniques Help? Accessed via ACM Digital Library (2018)

Reference 14

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:25:21.349905Z

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Observation f4299ae6-e2df-4ca3-a241-88d15c8deeeb · outbound

This paper cites SIAM Journal on Computing 28 (1999) https://doi.

Advances in Machine Learning: Where Can Quantum Techniques Help? SIAM Journal on Computing 28 (1999) https://doi

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T18:25:20.772079Z

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Observation 54ab5745-3d5f-4039-b047-5085a209da17 · outbound

This paper cites Machine Learning 2 (1988) https: //doi.org/10.1023/A:1022821128753.

Advances in Machine Learning: Where Can Quantum Techniques Help? Machine Learning 2 (1988) https: //doi.org/10.1023/A:1022821128753

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.253376Z

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Observation 9aa6eb2c-a2d1-4005-b546-bfb4037a1812 · outbound

This paper cites SIAM Journal on Computing33(5), 1067–1092 (2004) https: //doi.org/10.1137/S0097539704412910.

Advances in Machine Learning: Where Can Quantum Techniques Help? SIAM Journal on Computing33(5), 1067–1092 (2004) https: //doi.org/10.1137/S0097539704412910

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.256991Z

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Observation 91a110f6-1129-4de2-9926-52f3ffc39082 · outbound

This paper cites Quantum Information and Computation 12, 575–588 (2012) https: //doi.org/10.26421/QIC12.7-8-3.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum Information and Computation 12, 575–588 (2012) https: //doi.org/10.26421/QIC12.7-8-3

Reference 18

Resolution: verified exact; doi, observed 2026-08-06T18:25:20.742992Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 098d421c-a222-43dd-8c3d-345c6edeff25 · outbound

This paper cites Physical Review A - Atomic, Molecular, and Optical Physics 92 (2015) https: //doi.org/10.1103/PhysRevA.92.012327.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review A - Atomic, Molecular, and Optical Physics 92 (2015) https: //doi.org/10.1103/PhysRevA.92.012327

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T18:25:20.730552Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61b0c527-b854-4427-b837-cc5ee81f5cd5 · outbound

This paper cites Quantum Information Processing 6(5), 323–348 (2007) https://doi.org/10.1007/ s11128-007-0061-6.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum Information Processing 6(5), 323–348 (2007) https://doi.org/10.1007/ s11128-007-0061-6

Reference 20

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:25:21.828371Z

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Observation 6c273c7f-1000-48df-8b97-6c6b13e30682 · outbound

This paper cites In: ACM International Conference Proceeding Series, vol.

Advances in Machine Learning: Where Can Quantum Techniques Help? In: ACM International Conference Proceeding Series, vol

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:25:21.260615Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7cec1850-2f41-4b66-9619-ba059b62b8d0 · outbound

This paper cites Physical Review Letters 117 (2016) https://doi.org/10.1103/PhysRevLett.117.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review Letters 117 (2016) https://doi.org/10.1103/PhysRevLett.117

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.281314Z

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Observation 7a11a2b3-2143-44fb-873d-7af48c59d90a · outbound

This paper cites Physical Review A 99 (2019) https://doi.org/ 10.1103/PhysRevA.99.032331.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review A 99 (2019) https://doi.org/ 10.1103/PhysRevA.99.032331

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.285109Z

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Observation da4cc7f5-32cb-4eea-889d-4868b83bcb9d · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Advances in Machine Learning: Where Can Quantum Techniques Help? PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.289323Z

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Observation fd60588d-cf90-4c12-8743-644828441857 · outbound

This paper cites Frontiers of Physics19 (2024) https://doi.org/10.1007/s11467-023-1346-7.

Advances in Machine Learning: Where Can Quantum Techniques Help? Frontiers of Physics19 (2024) https://doi.org/10.1007/s11467-023-1346-7

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.293922Z

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Observation 7a625a59-9db4-4bd2-a82e-1a500ef03be1 · outbound

This paper cites The Computer Journal 7 (1965) https://doi.org/10.1093/comjnl/7.4.308.

Advances in Machine Learning: Where Can Quantum Techniques Help? The Computer Journal 7 (1965) https://doi.org/10.1093/comjnl/7.4.308

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.297605Z

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Observation 66e797c8-8623-4ccf-8ef7-09df176d8137 · outbound

This paper cites Physical Review Research 2 (2020) https: //doi.org/10.1103/PhysRevResearch.2.043158.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review Research 2 (2020) https: //doi.org/10.1103/PhysRevResearch.2.043158

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.301432Z

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Observation 63c53a25-617a-438f-b8ab-997f16ab2846 · outbound

This paper cites Nature Communications 9 (2018) https://doi.org/10.1038/s41467-018-07090-4.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Communications 9 (2018) https://doi.org/10.1038/s41467-018-07090-4

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.305154Z

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Observation 57f1eeb1-3d11-41a4-8af0-c363a1c0db23 · outbound

This paper cites Physical Review Letters 69 (1992) https://doi.org/10.1103/PhysRevLett.69.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review Letters 69 (1992) https://doi.org/10.1103/PhysRevLett.69

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.309330Z

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Observation 1bb6cecd-35d3-466c-b0ff-f760175621b7 · outbound

This paper cites In: Welsh, D.J.A.

Advances in Machine Learning: Where Can Quantum Techniques Help? In: Welsh, D.J.A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:21.816107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 061db2e8-59da-4b4d-a260-f9af0726e271 · outbound

This paper cites Physical Review A - Atomic, Molecular, and Optical Physics 65 (2002) https://doi.org/10.1103/ PhysRevA.65.032314.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review A - Atomic, Molecular, and Optical Physics 65 (2002) https://doi.org/10.1103/ PhysRevA.65.032314

Reference 31

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:25:21.803275Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 205cf418-1b35-4b64-8380-797778513286 · outbound

This paper cites In: Proceedings of the 30th International Conference on Neural Information Process- ing Systems.

Advances in Machine Learning: Where Can Quantum Techniques Help? In: Proceedings of the 30th International Conference on Neural Information Process- ing Systems

Reference 32

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:25:21.161508Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c60b908-a3f9-41b6-88e2-920e20cb9688 · outbound

This paper cites From probabilistic graphical models to generalized tensor networks for supervised learning.

Advances in Machine Learning: Where Can Quantum Techniques Help? From probabilistic graphical models to generalized tensor networks for supervised learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.324971Z

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Observation d919e043-8f43-43e3-ac36-a7fee29cb0b6 · outbound

This paper cites In: Journal of the ACM, vol.

Advances in Machine Learning: Where Can Quantum Techniques Help? In: Journal of the ACM, vol

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:21.790776Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca52daae-a8e2-4c55-b10e-3ce3b63e7b09 · outbound

This paper cites Physical Review A 96 (2017) https://doi.org/10.1103/PhysRevA.96.022329.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review A 96 (2017) https://doi.org/10.1103/PhysRevA.96.022329

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.332558Z

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Observation bdc087e5-b8be-496d-88ee-58c6d5df2249 · outbound

This paper cites Quantum 4 (2020) https://doi.org/10.22331/ Q-2020-08-13-307.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum 4 (2020) https://doi.org/10.22331/ Q-2020-08-13-307

Reference 36

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:25:21.778149Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f3f463ee-f9ff-4553-bb46-577ff0b99cf7 · outbound

This paper cites In: Proceedings of the Annual ACM Symposium on Theory of Computing (2019).

Advances in Machine Learning: Where Can Quantum Techniques Help? In: Proceedings of the Annual ACM Symposium on Theory of Computing (2019)

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.340787Z

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Observation 4bb2d37f-24b5-4e2b-ae04-4f77d7c6f004 · outbound

This paper cites Nature Physics 14 (2018) https: //doi.org/10.1038/s41567-018-0048-5.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Physics 14 (2018) https: //doi.org/10.1038/s41567-018-0048-5

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.344364Z

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Observation 92ff1411-86d1-4820-8e50-e4f308bf442d · outbound

This paper cites Nature Physics 13 (2017) https://doi.org/10.1038/nphys4035.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Physics 13 (2017) https://doi.org/10.1038/nphys4035

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.348840Z

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Observation b38959c6-26f1-4cff-ae3d-b8123eb32c9c · outbound

This paper cites Physical Review B 94 (2016) https://doi.org/10.1103/PhysRevB.94.195105.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review B 94 (2016) https://doi.org/10.1103/PhysRevB.94.195105

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.352664Z

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Observation a950b4ae-c8da-4c73-85ae-e9522b0b998e · outbound

This paper cites In: Proceedings of the International Joint Conference on Neural Networks, vol.

Advances in Machine Learning: Where Can Quantum Techniques Help? In: Proceedings of the International Joint Conference on Neural Networks, vol

Reference 41

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:25:20.963693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b08a2119-c05f-4c9e-82a0-c18fe2a72af4 · outbound

This paper cites Quantum Machine 25 Intelligence 2 (2020) https://doi.org/10.1007/s42484-020-00012-y.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum Machine 25 Intelligence 2 (2020) https://doi.org/10.1007/s42484-020-00012-y

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.360184Z

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Observation 0946b056-9629-46d4-b0ff-231a94019807 · outbound

This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M.F., Lin, H.

Advances in Machine Learning: Where Can Quantum Techniques Help? In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M.F., Lin, H

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:21.764081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae303ae6-0ab8-46ce-b1d6-6e95b09195a6 · outbound

This paper cites Nature 567 (2019) https://doi.org/10.1038/s41586-019-0980-2.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature 567 (2019) https://doi.org/10.1038/s41586-019-0980-2

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.368154Z

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Observation 7fc47bec-b652-4474-ae77-5d7f5e693534 · outbound

This paper cites Quantum Machine Intelligence 4 (2022) https://doi.org/10.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum Machine Intelligence 4 (2022) https://doi.org/10

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:21.751257Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dfda3085-b7a0-49d5-b999-be708ebe955e · outbound

This paper cites Nature Physics 17 (2021) https://doi.org/10.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Physics 17 (2021) https://doi.org/10

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:21.739234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f97341f2-57e4-4d5c-b7dc-f7d8aa1a4fdc · outbound

This paper cites Quantum Science and Technology 7 (2022) https://doi.org/10.1088/2058-9565/ac4f2f.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum Science and Technology 7 (2022) https://doi.org/10.1088/2058-9565/ac4f2f

Reference 47

Resolution: verified exact; doi, observed 2026-08-06T18:25:20.606604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 785db4d8-95a8-486c-852f-172ade4a016a · outbound

This paper cites Physical Review X 8 (2018) https://doi.org/10.1103/PhysRevX.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review X 8 (2018) https://doi.org/10.1103/PhysRevX

Reference 48

Resolution: malformed identifier; no resolver link, observed 2026-08-06T18:25:20.384477Z

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Observation 6a6bf28b-97a0-46f7-9e2c-6116a0a3198a · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Advances in Machine Learning: Where Can Quantum Techniques Help? A Quantum Approximate Optimization Algorithm

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.388085Z

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Observation 45ef9044-e5d6-482b-bd51-7e2ba30b6418 · outbound

This paper cites https://arxiv.org/abs/2403.

Advances in Machine Learning: Where Can Quantum Techniques Help? https://arxiv.org/abs/2403

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:25:21.726724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 365c030c-3b4e-43ab-aed0-e6c51591a8a1 · outbound

This paper cites Nature Physics 10 (2014) https://doi.org/10.1038/NPHYS3029.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Physics 10 (2014) https://doi.org/10.1038/NPHYS3029

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.395227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb0e064-1e08-4f43-9bcf-9fbc8ce7c263 · outbound

This paper cites Science 376(6598), 1182–1186 (2022) https://doi.org/ 10.1126/science.abn7293.

Advances in Machine Learning: Where Can Quantum Techniques Help? Science 376(6598), 1182–1186 (2022) https://doi.org/ 10.1126/science.abn7293

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.399151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed526fe9-e063-4368-abfb-a6421f8f6bad · outbound

This paper cites an unresolved cited work.

Advances in Machine Learning: Where Can Quantum Techniques Help? Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.402969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 444129b4-7a23-4c14-803a-ca44f3706828 · outbound

This paper cites : Variational quantum algorithms.

Advances in Machine Learning: Where Can Quantum Techniques Help? : Variational quantum algorithms

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.407339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e1241ae-fa32-4749-a698-51f49c4d9316 · outbound

This paper cites Quantum 2, 79 (2018) https://doi.org/10.22331/q-2018-08-06-79.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum 2, 79 (2018) https://doi.org/10.22331/q-2018-08-06-79

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.411069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a512ac5-b84a-44d8-b442-1676d975c6b4 · outbound

This paper cites Reviews of Modern Physics 84, 621 (2012) https://doi.org/10.1103/RevModPhys.84.621.

Advances in Machine Learning: Where Can Quantum Techniques Help? Reviews of Modern Physics 84, 621 (2012) https://doi.org/10.1103/RevModPhys.84.621

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.414962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1023ee5e-7b88-4d84-b05a-540249e4ecc1 · outbound

This paper cites Science 355, 602–606 (2017) https://doi.org/10.1126/science.

Advances in Machine Learning: Where Can Quantum Techniques Help? Science 355, 602–606 (2017) https://doi.org/10.1126/science

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Resolution: malformed identifier; no resolver link, observed 2026-08-06T18:25:20.418667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523f8add-4f72-4db5-8b41-17a818284893 · outbound

This paper cites Machine Learning 113, 1189–1217 (2024) https://doi.org/10.1007/ s10994-023-06490-y.

Advances in Machine Learning: Where Can Quantum Techniques Help? Machine Learning 113, 1189–1217 (2024) https://doi.org/10.1007/ s10994-023-06490-y

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Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:25:21.714838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ce91adb-3ba9-4896-b6f3-26b93e43469d · outbound

This paper cites Nature Computational Science 2, 567–576 (2022) https://doi.org/10.1038/s43588-022-00311-3.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Computational Science 2, 567–576 (2022) https://doi.org/10.1038/s43588-022-00311-3

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.427673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd57d5bf-ed6e-4cfa-985e-78e7579711a8 · outbound

This paper cites Physical Review A 86, 032324 (2012) https://doi.org/10.1103/PhysRevA.86.032324.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review A 86, 032324 (2012) https://doi.org/10.1103/PhysRevA.86.032324

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.431980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b70540-d9bc-4e3c-bc09-12c753a0bd35 · outbound

This paper cites Nature 574, 505–510 (2019) https://doi.org/10.1038/s41586-019-1666-5.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature 574, 505–510 (2019) https://doi.org/10.1038/s41586-019-1666-5

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.435957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 932566f2-045f-4255-97fa-f46abf9deceb · outbound

This paper cites Nature Communications 9, 4195 (2018) https://doi.org/10.1038/ s41467-018-06598-z.

Advances in Machine Learning: Where Can Quantum Techniques Help? Nature Communications 9, 4195 (2018) https://doi.org/10.1038/ s41467-018-06598-z

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Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:25:21.693741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9010d053-d9bf-4016-a757-dde53c2cc26a · outbound

This paper cites Physical Review Letters 27 81, 5932–5935 (1998) https://doi.org/10.1103/PhysRevLett.81.5932.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review Letters 27 81, 5932–5935 (1998) https://doi.org/10.1103/PhysRevLett.81.5932

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.443279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e97b201-eff9-4eb7-aaaa-e0c73ce03013 · outbound

This paper cites Physical Review Letters 121, 040502 (2018) https://doi.org/10.1103/PhysRevLett.121.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review Letters 121, 040502 (2018) https://doi.org/10.1103/PhysRevLett.121

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.447254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e7b60dd-7432-42e6-8398-445b7aacc796 · outbound

This paper cites Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisci- plinary Topics 58 (1998) https://doi.org/10.1103/PhysRevE.58.5355.

Advances in Machine Learning: Where Can Quantum Techniques Help? Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisci- plinary Topics 58 (1998) https://doi.org/10.1103/PhysRevE.58.5355

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.450690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f91682-312d-4473-9ab4-45c7f3ce4a9e · outbound

This paper cites Quantum Science and Technology 4, 043001 (2019) https://doi.org/10.1088/2058-9565/ab4eb5 28.

Advances in Machine Learning: Where Can Quantum Techniques Help? Quantum Science and Technology 4, 043001 (2019) https://doi.org/10.1088/2058-9565/ab4eb5 28

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Resolution: unresolved; no resolver link, observed 2026-08-06T18:25:20.454604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fd0f0626-6d7f-4e61-8890-f3d2c2a8a58d · inbound

Quantum kernel and HHL-based support vector machines for multi-class classification cites this paper.

Quantum kernel and HHL-based support vector machines for multi-class classification Advances in Machine Learning: Where Can Quantum Techniques Help?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:10:57.353549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade44f29-5b81-44d9-8e71-3d29955e6c64 · inbound

Rendering Coherent Scattering via Quantum Collision Models cites this paper.

Rendering Coherent Scattering via Quantum Collision Models Advances in Machine Learning: Where Can Quantum Techniques Help?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T03:44:15.435579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d9f3161-ca71-453f-b78a-74e9c2118c92 · inbound

Image classification via a quantum-inspired strategy involving a mixture of experts cites this paper.

Image classification via a quantum-inspired strategy involving a mixture of experts Advances in Machine Learning: Where Can Quantum Techniques Help?

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-10T19:17:31.676587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.