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Paper Citation Record · LEDGER

Quantum computing and artificial intelligence: status and perspectives

As of 21 August 2026, this Paper Citation Record lists 100 of 225 outbound references and 13 inbound Pith citation observations for arXiv:2505.23860.

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

pith.paper-citation-record.v1
2505.23860 v3

Coverage vector

measured 100 of 225 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:54:10.437596Z

measured 113 of 113 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:32:08.705116Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

100 of 225 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved99
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 7d083477-3d78-4657-b33b-0daeea199187 · outbound

This paper cites Machine learning and the physical sciences,.

Quantum computing and artificial intelligence: status and perspectives Machine learning and the physical sciences,

Reference 1

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Observation d42a8b0c-6e95-407b-8993-92dcccb061aa · outbound

This paper cites Machine learning and artifi- cial intelligence in the quantum domain: a review of recent progress,.

Quantum computing and artificial intelligence: status and perspectives Machine learning and artifi- cial intelligence in the quantum domain: a review of recent progress,

Reference 2

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source=pdf_text observed=2026-08-07T12:53:57.544068Z digest=sha256:a92c953a27f0b218e1b9afc692730aec8cf84e3833db91fffdaa0edb328524e2

Observation 9eee6243-1f26-4e68-9548-49cfa4ea4c56 · outbound

This paper cites A comprehensive review of quantum machine learning: from NISQ to fault tolerance,.

Quantum computing and artificial intelligence: status and perspectives A comprehensive review of quantum machine learning: from NISQ to fault tolerance,

Reference 3

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source=pdf_text observed=2026-08-07T12:53:57.646781Z digest=sha256:2c983489cff070e0a9b824b4925f8dfcc43625a58b8bb4d84ba120039d18bf36

Observation 8a1289b8-6613-45cd-9257-db45abddaa48 · outbound

This paper cites Quantum error mit- igation,.

Quantum computing and artificial intelligence: status and perspectives Quantum error mit- igation,

Reference 4

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source=pdf_text observed=2026-08-07T12:53:57.761717Z digest=sha256:6a8a383b3952978257a1e7a184e8f420b4aba71876c056666ead1e529e326e12

Observation 330ef756-932c-436f-8f8d-0e801b2e0178 · outbound

This paper cites Noisy intermediate-scale quantum (NISQ) algo- rithms,.

Quantum computing and artificial intelligence: status and perspectives Noisy intermediate-scale quantum (NISQ) algo- rithms,

Reference 5

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source=pdf_text observed=2026-08-07T12:53:57.826602Z digest=sha256:cb753fd43e5b5aae8b6c1178819ffd9546ec77b007bc1faffeeaed85295175ef

Observation 4550083d-2239-4e40-892e-98e082953926 · outbound

This paper cites Quantum algorithms: an overview,.

Quantum computing and artificial intelligence: status and perspectives Quantum algorithms: an overview,

Reference 6

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source=pdf_text observed=2026-08-07T12:53:57.889108Z digest=sha256:3dd7cac130d8b2c4d723929157c5872396e8a5709bda7c6251bad6be931dba66

Observation 20c79b38-8388-4224-89d3-9ed98aac4966 · outbound

This paper cites Quantum error correction for quantum memo- ries,.

Quantum computing and artificial intelligence: status and perspectives Quantum error correction for quantum memo- ries,

Reference 7

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source=pdf_text observed=2026-08-07T12:53:57.950646Z digest=sha256:bce7cc1a08bed028127edecc54f4fc04ef6200b1b110bed074247078bed3359c

Observation f3e5624b-f2f6-4a08-b0a8-4670b72e616a · outbound

This paper cites Quantum artificial intelligence: A brief survey,.

Quantum computing and artificial intelligence: status and perspectives Quantum artificial intelligence: A brief survey,

Reference 8

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source=pdf_text observed=2026-08-07T12:53:58.146344Z digest=sha256:42bd45b923e2296fb8967288f71d6b50541f138659c16c0d9500aeae518acbf1

Observation 9e25613d-0897-44b7-b389-c0c90aeeefec · outbound

This paper cites Variational quantum algorithms,.

Quantum computing and artificial intelligence: status and perspectives Variational quantum algorithms,

Reference 9

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Observation 41a2e165-947e-4d8a-8842-78cffd58de8c · outbound

This paper cites A Survey on Quantum Reinforcement Learning.

Quantum computing and artificial intelligence: status and perspectives A Survey on Quantum Reinforcement Learning

Reference 10

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source=pdf_text observed=2026-08-07T12:53:58.404550Z digest=sha256:cbe5f439bb257d61f15cf751207cffc9e9ed04cf1d53aa5129e3d34b694b2643

Observation b187689f-43a1-4539-953f-5e32293c6084 · outbound

This paper cites an unresolved cited work.

Quantum computing and artificial intelligence: status and perspectives Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-07T12:53:58.560918Z digest=sha256:39e8a589d2a0d468e70589be7315392400a8d2c86bed0d8a68872b5d2fc3369d

Observation 615241ad-326f-4ae5-aec3-db2bbf29ca4d · outbound

This paper cites Quantum machine learn- ing: a classical perspective,.

Quantum computing and artificial intelligence: status and perspectives Quantum machine learn- ing: a classical perspective,

Reference 12

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source=pdf_text observed=2026-08-07T12:53:58.734263Z digest=sha256:1838f540f16384e8e0950393477678183e9e1750f7eb5f178095ac9a6e0b9ee7

Observation 2f0bcc56-3aaa-4e2b-bc03-065414297c83 · outbound

This paper cites Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective.

Quantum computing and artificial intelligence: status and perspectives Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 13

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source=pdf_text observed=2026-08-07T12:53:58.828155Z digest=sha256:d2d74366f0c517fc3bacf799dffc2f07f4eedfad9cc793caee32363b48237953

Observation 573df90c-a807-4fb9-9fd4-f7913e678347 · outbound

This paper cites Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation.

Quantum computing and artificial intelligence: status and perspectives Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation

Reference 14

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source=pdf_text observed=2026-08-07T12:53:58.914343Z digest=sha256:83e4349eb80d57c3f415c1803be84ea5d2fc04a7c13bac6ff1808bb183b38f26

Observation c4e43e24-93eb-41d5-84a6-d2caeae74b98 · outbound

This paper cites Quantum supervised learning,.

Quantum computing and artificial intelligence: status and perspectives Quantum supervised learning,

Reference 15

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source=pdf_text observed=2026-08-07T12:53:59.010198Z digest=sha256:619eb0d50f0e5b68f402f3768aa2fe6708f6fd75bd99a615a0f04362574436ba

Observation 195bce7a-a5b8-48cf-8362-4a52c6879fa9 · outbound

This paper cites Quantum machine learning,.

Quantum computing and artificial intelligence: status and perspectives Quantum machine learning,

Reference 16

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source=pdf_text observed=2026-08-07T12:53:59.094431Z digest=sha256:5d50ac0717fe822749bc5a5f3b263310071d7ce1e4bdde0e22b4fd0d16b28471

Observation 7d034d28-47ef-4760-9cc3-e81f1372b49a · outbound

This paper cites Fault-Tolerant Quantum Ma- chine Learning,.

Quantum computing and artificial intelligence: status and perspectives Fault-Tolerant Quantum Ma- chine Learning,

Reference 17

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source=pdf_text observed=2026-08-07T12:53:59.257661Z digest=sha256:b068508efd81f219102f72df50686f155e2b6e70d66749ce164de3fea758f05d

Observation ad6527bf-2d7b-4218-91b4-ab4d6330eefa · outbound

This paper cites Quantum support vector machine for big data classification,.

Quantum computing and artificial intelligence: status and perspectives Quantum support vector machine for big data classification,

Reference 18

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source=pdf_text observed=2026-08-07T12:53:59.396732Z digest=sha256:3c77f5455b7a255be98d619d8e922d306eb37cab024b658f3b6ebb429b5d40ba

Observation 5cd91fa4-cd56-44b0-88e7-370e19f8c44d · outbound

This paper cites Quantum splines for non-linear approximations,.

Quantum computing and artificial intelligence: status and perspectives Quantum splines for non-linear approximations,

Reference 19

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source=pdf_text observed=2026-08-07T12:53:59.566620Z digest=sha256:c467df17659f46e4b96f5a07c589cddf8919ba527964479a72641ec29f4af4b3

Observation b95560b2-ee5c-4154-a3fa-5ae5b8984bc3 · outbound

This paper cites Quantum algorithms for supervised and unsupervised machine learning.

Quantum computing and artificial intelligence: status and perspectives Quantum algorithms for supervised and unsupervised machine learning

Reference 20

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source=pdf_text observed=2026-08-07T12:53:59.739027Z digest=sha256:2364d48ee76efe4efccf81681e7e8c0fbd47e8ff60686d4e4104b3903f75ee17

Observation f33c86a8-5469-44f1-bbec-d98bfd48a833 · outbound

This paper cites Quantum algo- rithm for linear eystems of equations,.

Quantum computing and artificial intelligence: status and perspectives Quantum algo- rithm for linear eystems of equations,

Reference 21

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source=pdf_text observed=2026-08-07T12:53:59.838432Z digest=sha256:725aaefc7e41eef9d1f128bcdccb80ff1685abca52bed1307283f3e56fcd89e8

Observation d6059519-eb93-48f2-a400-d996148e1c6d · outbound

This paper cites Towards provably efficient quantum algorithms for large-scale machine-learning models,.

Quantum computing and artificial intelligence: status and perspectives Towards provably efficient quantum algorithms for large-scale machine-learning models,

Reference 22

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source=pdf_text observed=2026-08-07T12:53:59.919734Z digest=sha256:91070624385280272bd052cb4cdf10475a600d98f3abca8dc5eee9966c957aff

Observation 96985299-c34f-487f-8963-5dc0df8470d3 · outbound

This paper cites Shadows of quantum machine learning,.

Quantum computing and artificial intelligence: status and perspectives Shadows of quantum machine learning,

Reference 23

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source=pdf_text observed=2026-08-07T12:54:00.065496Z digest=sha256:1ec0340c108b33994709c2b4d6b7e660f383139aa6d942e2d253350643529f53

Observation 4010ee60-2f7c-4e3a-be5a-98cd0a940da5 · outbound

This paper cites Quantum convolutional neural networks,.

Quantum computing and artificial intelligence: status and perspectives Quantum convolutional neural networks,

Reference 24

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source=pdf_text observed=2026-08-07T12:54:00.200208Z digest=sha256:7e6acbd4f2cf0e659af9ce2a623c47bd1b6085401990caa88ea80c184ad48c2a

Observation aa5fc77f-2903-4062-bf2d-aac34a480115 · outbound

This paper cites Quantum percep- tron models,.

Quantum computing and artificial intelligence: status and perspectives Quantum percep- tron models,

Reference 25

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source=pdf_text observed=2026-08-07T12:54:00.309894Z digest=sha256:3e2e0c1f17de20605dfe859858d4cfbd0afd8b017f940006ebd4bb922ad840e6

Observation f02ae231-3c50-493f-8cba-b3d0ebaa7be6 · outbound

This paper cites The quest for a quantum neural network,.

Quantum computing and artificial intelligence: status and perspectives The quest for a quantum neural network,

Reference 26

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Observation 073bd279-022b-4d67-bde0-994d50f8d710 · outbound

This paper cites Training deep quantum neural networks,.

Quantum computing and artificial intelligence: status and perspectives Training deep quantum neural networks,

Reference 27

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Observation 3a720073-cbfd-468f-b522-adc06b1b264a · outbound

This paper cites Quantum machine learning in feature Hilbert spaces,.

Quantum computing and artificial intelligence: status and perspectives Quantum machine learning in feature Hilbert spaces,

Reference 28

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Observation 3380edce-b844-4871-b9ba-61e841ab3a0a · outbound

This paper cites Parame- terized quantum circuits as machine learning models,.

Quantum computing and artificial intelligence: status and perspectives Parame- terized quantum circuits as machine learning models,

Reference 29

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Observation c068d871-8f77-424b-ab66-4d678965379f · outbound

This paper cites The power of quantum neural networks,.

Quantum computing and artificial intelligence: status and perspectives The power of quantum neural networks,

Reference 30

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source=pdf_text observed=2026-08-07T12:54:01.153166Z digest=sha256:1c538b2e7dc6a21a405fdbc6360647137e52aee5c3c80a0e913edb4cc94e2f1a

Observation a4d12f51-6d84-4031-8b5c-361c280cb6ed · outbound

This paper cites Generalization in quantum 28 machine learning from few training data,.

Quantum computing and artificial intelligence: status and perspectives Generalization in quantum 28 machine learning from few training data,

Reference 32

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Observation 3cb0331f-54c4-4854-8243-67996afc9dad · outbound

This paper cites Understanding quantum machine learning also requires rethinking generaliza- tion,.

Quantum computing and artificial intelligence: status and perspectives Understanding quantum machine learning also requires rethinking generaliza- tion,

Reference 33

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Observation e4efd46d-d399-4f55-a369-be72cbce1fac · outbound

This paper cites Power of data in quantum machine learning,.

Quantum computing and artificial intelligence: status and perspectives Power of data in quantum machine learning,

Reference 34

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Observation cff3efcd-103a-49a5-ae4b-6a2fd3fb55e6 · outbound

This paper cites Barren plateaus in quantum neural network train- ing landscapes,.

Quantum computing and artificial intelligence: status and perspectives Barren plateaus in quantum neural network train- ing landscapes,

Reference 35

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Observation 4a7a0c98-0600-45ba-987f-ccf73e1648eb · outbound

This paper cites Quantum variational al- gorithms are swamped with traps,.

Quantum computing and artificial intelligence: status and perspectives Quantum variational al- gorithms are swamped with traps,

Reference 36

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Observation 5ac2dc0b-80e2-49fe-a209-853132c48ffd · outbound

This paper cites On quantum backpropaga- tion, information reuse, and cheating measurement collapse,.

Quantum computing and artificial intelligence: status and perspectives On quantum backpropaga- tion, information reuse, and cheating measurement collapse,

Reference 37

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Observation 09c1a28a-a619-49f8-b108-cc28be115e37 · outbound

This paper cites Dequantizing algorithms to understand quantum ad- vantage in machine learning,.

Quantum computing and artificial intelligence: status and perspectives Dequantizing algorithms to understand quantum ad- vantage in machine learning,

Reference 38

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Observation 581811c3-20dc-4f17-bb88-ec718dd16c4a · outbound

This paper cites Classical surrogates for quantum learning models,.

Quantum computing and artificial intelligence: status and perspectives Classical surrogates for quantum learning models,

Reference 39

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Observation d1cf95fd-2e20-4766-be7f-003899835f6b · outbound

This paper cites Towards efficient quantum algorithms for diffusion probability models,.

Quantum computing and artificial intelligence: status and perspectives Towards efficient quantum algorithms for diffusion probability models,

Reference 40

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Observation c9052dba-d28b-49c1-b09e-9b0597033066 · outbound

This paper cites Reinforce- ment learning: A survey,.

Quantum computing and artificial intelligence: status and perspectives Reinforce- ment learning: A survey,

Reference 41

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source=pdf_text observed=2026-08-07T12:54:02.893922Z digest=sha256:0bc6a38f5d70c635abcb238119fb2183fa9a4f78fe28521e63e50a7fbfb8668a

Observation 2df764a5-3d2f-403d-ab7a-041801b95828 · outbound

This paper cites Challenges of reinforcement learning,.

Quantum computing and artificial intelligence: status and perspectives Challenges of reinforcement learning,

Reference 42

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source=pdf_text observed=2026-08-07T12:54:03.106448Z digest=sha256:0f39b9e73e8106e09f95270d786b118323c820d058bb35ca82b3e110b8dde0d8

Observation 3e58ea36-a17f-4efa-8212-ceae31294097 · outbound

This paper cites Challenges of real-world re- inforcement learning: definitions, benchmarks and analysis,.

Quantum computing and artificial intelligence: status and perspectives Challenges of real-world re- inforcement learning: definitions, benchmarks and analysis,

Reference 43

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source=pdf_text observed=2026-08-07T12:54:03.268500Z digest=sha256:2570ee5e1df65c1415e96044e53f1e85a5d20e7b3bfae402ce598181a3b6fd2b

Observation 27559602-780a-49be-b1fe-437e8ff72d35 · outbound

This paper cites Actor-critic algorithms,.

Quantum computing and artificial intelligence: status and perspectives Actor-critic algorithms,

Reference 44

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source=pdf_text observed=2026-08-07T12:54:03.386338Z digest=sha256:af613fb81b94caf079f423a7cd0c99f16642405b719114b0e3a8d38c4da60418

Observation ee6a6726-7b5a-4eb3-bb83-1271cb7a3ec2 · outbound

This paper cites A survey of actor-critic reinforcement learning: Standard and natural policy gradients,.

Quantum computing and artificial intelligence: status and perspectives A survey of actor-critic reinforcement learning: Standard and natural policy gradients,

Reference 45

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source=pdf_text observed=2026-08-07T12:54:03.524032Z digest=sha256:9581a257bf23555dbe30f1b76ed3d2856ec33edd3ddbee29282ba3e2a2780ebd

Observation 281caff3-baa7-487e-94e8-d34e855f1793 · outbound

This paper cites Quantum Advantage Actor-Critic for Reinforcement Learning.

Quantum computing and artificial intelligence: status and perspectives Quantum Advantage Actor-Critic for Reinforcement Learning

Reference 46

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source=pdf_text observed=2026-08-07T12:54:03.681993Z digest=sha256:4bcbe07c5907288b503a4cbd1d960973e6e91f9d4557d1d8f287a7908ae0bc25

Observation d901835c-afd0-46d8-8f72-315faf898f7d · outbound

This paper cites Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars,.

Quantum computing and artificial intelligence: status and perspectives Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars,

Reference 47

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source=pdf_text observed=2026-08-07T12:54:03.811819Z digest=sha256:6b395abde2a95d8652d3183fb2141113d93340c2a5af2b245b9166b864414637

Observation f7e9fde9-53f9-47a9-a091-1162ff93d497 · outbound

This paper cites q- means: A quantum algorithm for unsupervised machine learn- ing,.

Quantum computing and artificial intelligence: status and perspectives q- means: A quantum algorithm for unsupervised machine learn- ing,

Reference 48

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source=pdf_text observed=2026-08-07T12:54:03.961565Z digest=sha256:2d37e245d74aeacfef38e3b234573d5f394fbbaa6259ab78771ad83bb3e13d33

Observation ca95bdb8-c2e1-46fe-b954-cbac80b1ac83 · outbound

This paper cites Quantum spectral clustering,.

Quantum computing and artificial intelligence: status and perspectives Quantum spectral clustering,

Reference 49

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source=pdf_text observed=2026-08-07T12:54:04.112032Z digest=sha256:ae47968e968de5c764128558429db98bed376ab04b9d7e2f5decd76159c0a128

Observation 23755042-706c-4e15-8d91-81ca726f7b31 · outbound

This paper cites Quantum random access memory,.

Quantum computing and artificial intelligence: status and perspectives Quantum random access memory,

Reference 50

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source=pdf_text observed=2026-08-07T12:54:04.319190Z digest=sha256:f9aaac06324bb705690205eb2acde10d0b4cc2bafe72cf5a3ecdb406c5b11903

Observation 497b42b6-0417-4a77-a625-6b2a5ea70132 · outbound

This paper cites Quantum fingerprinting,.

Quantum computing and artificial intelligence: status and perspectives Quantum fingerprinting,

Reference 51

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source=pdf_text observed=2026-08-07T12:54:04.465253Z digest=sha256:b38168e5e41a42e4ade905949132434fd2f7aa993fb1188f5700d19cce1ca4ca

Observation 9a7b9adc-69a7-430b-8942-da52364a0516 · outbound

This paper cites Challenges and oppor- tunities in quantum optimization,.

Quantum computing and artificial intelligence: status and perspectives Challenges and oppor- tunities in quantum optimization,

Reference 52

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source=pdf_text observed=2026-08-07T12:54:04.656561Z digest=sha256:685caabdc9c2de96dec3342b14694974d76b4eb4f458c1c43218b51c61670217

Observation 55b2ca6b-83a9-4031-b83d-6de951b8e4c2 · outbound

This paper cites Is quantum advantage the right goal for quantum machine learning?.

Quantum computing and artificial intelligence: status and perspectives Is quantum advantage the right goal for quantum machine learning?

Reference 53

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source=pdf_text observed=2026-08-07T12:54:04.826478Z digest=sha256:df3a81b92891ade8da5a98dd0a5b85fd0a82a018d5de872c31fe8935e5aa91a9

Observation 25d9a7c4-cd4f-4c4a-99da-8d5a188592c8 · outbound

This paper cites Quantum Boltzmann Machine,.

Quantum computing and artificial intelligence: status and perspectives Quantum Boltzmann Machine,

Reference 54

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source=pdf_text observed=2026-08-07T12:54:05.007420Z digest=sha256:7336a49a0c2bc2e771e716619d98f4f99a52ab9f4e66064aca5e92f9a4aef086

Observation aa79ea8d-f992-4b64-be5e-b22b9517fec0 · outbound

This paper cites Differentiable learning of quantum circuit Born machines,.

Quantum computing and artificial intelligence: status and perspectives Differentiable learning of quantum circuit Born machines,

Reference 55

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source=pdf_text observed=2026-08-07T12:54:05.164596Z digest=sha256:2536fd4bb128cbf180a7595868bd175453ffa439021ec38f476b61ee4add22c8

Observation a42fc550-7cf5-484d-8329-5e570f2fb370 · outbound

This paper cites A generative model- ing approach for benchmarking and training shallow quantum circuits,.

Quantum computing and artificial intelligence: status and perspectives A generative model- ing approach for benchmarking and training shallow quantum circuits,

Reference 56

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source=pdf_text observed=2026-08-07T12:54:05.322975Z digest=sha256:979fca776b78525cd94ed6a4dee3ea5dcfb7863d026bdfed8bd8339e820f0170

Observation 2df1f6ce-b4fe-44e9-8948-ac32b09881fb · outbound

This paper cites On the relation between trainability and dequantization of variational quantum learning models,.

Quantum computing and artificial intelligence: status and perspectives On the relation between trainability and dequantization of variational quantum learning models,

Reference 57

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source=pdf_text observed=2026-08-07T12:54:05.483057Z digest=sha256:71a85e8ac8becbfe2d17330a90da0a1cb08ccce1e86245602d988f73055976f3

Observation b1201169-319b-41af-88ab-8c24a01c5bd9 · outbound

This paper cites On the quantum versus classical learnability of discrete distributions,.

Quantum computing and artificial intelligence: status and perspectives On the quantum versus classical learnability of discrete distributions,

Reference 58

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source=pdf_text observed=2026-08-07T12:54:05.625741Z digest=sha256:4bdeee1c08d080e49c5470b7a172e412118a59a01c7a268a8458c85aee374973

Observation 47862b5f-e08d-49d9-b313-8bbfb239e0e9 · outbound

This paper cites Supervised learning with quantum enhanced feature spaces,.

Quantum computing and artificial intelligence: status and perspectives Supervised learning with quantum enhanced feature spaces,

Reference 59

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source=pdf_text observed=2026-08-07T12:54:05.716513Z digest=sha256:62fdad44d1d624083ff1b7e6b0274597b6c63f301344e481a082e3adaca9bb5f

Observation 46b8c253-0c63-4973-90ff-2e08f223ab0d · outbound

This paper cites Opportunities and limitations of explaining quantum machine learning.

Quantum computing and artificial intelligence: status and perspectives Opportunities and limitations of explaining quantum machine learning

Reference 60

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source=pdf_text observed=2026-08-07T12:54:05.808524Z digest=sha256:c70f50b3b0caaa06647315069cb80dd245ff0b0a4c19f8953128086964e527eb

Observation 92557ce2-8e40-46df-9063-d351e485fa84 · outbound

This paper cites Quantum principal component analysis,.

Quantum computing and artificial intelligence: status and perspectives Quantum principal component analysis,

Reference 61

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source=pdf_text observed=2026-08-07T12:54:05.880686Z digest=sha256:2566bf940450b8092bec11485b8a4c2b8e22bb049179635ec29d7f88f7dfb349

Observation 9f0324f4-d6cd-4858-85f8-60e25abdeca7 · outbound

This paper cites Quantum principal component analysis Only achieves an exponential speedup because of its state prepa- ration assumptions,.

Quantum computing and artificial intelligence: status and perspectives Quantum principal component analysis Only achieves an exponential speedup because of its state prepa- ration assumptions,

Reference 62

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source=pdf_text observed=2026-08-07T12:54:05.917832Z digest=sha256:d1e07cc0143c0be71c2c3cf5fd9acfec8ff7c58ca1059ca5c413ae785465b354

Observation 3373e8db-9ebd-4116-b81d-b4d7ffdc9d09 · outbound

This paper cites A fast quantum mechanical algorithm for database search,.

Quantum computing and artificial intelligence: status and perspectives A fast quantum mechanical algorithm for database search,

Reference 63

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source=pdf_text observed=2026-08-07T12:54:05.940241Z digest=sha256:ffb8e37913834bb26dc10cf5c726ff40f09fc31f1305c23011e9ccb00795a5d7

Observation 48da8a79-c3e4-407b-90a9-1b0ac8ee8c89 · outbound

This paper cites An in-principle super-polynomial quantum advantage for ap- proximating combinatorial optimization problems via compu- tational learning theory,.

Quantum computing and artificial intelligence: status and perspectives An in-principle super-polynomial quantum advantage for ap- proximating combinatorial optimization problems via compu- tational learning theory,

Reference 64

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source=pdf_text observed=2026-08-07T12:54:06.019776Z digest=sha256:4f7d7ca58c126585d75c09e37b5932919757e74bfdb65665e361d27a507b75b1

Observation a8deb7d7-9ea5-4084-8162-dbe76197f1aa · outbound

This paper cites Op- timization by decoded quantum interferometry,.

Quantum computing and artificial intelligence: status and perspectives Op- timization by decoded quantum interferometry,

Reference 65

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source=pdf_text observed=2026-08-07T12:54:06.132809Z digest=sha256:86fd17886ef05f032b94fe80c9be706becebc0512de819cb7c024ab7edbff14b

Observation 056d81c8-0418-4694-9568-4c85224b7eda · outbound

This paper cites Quantum Hamiltonian Descent.

Quantum computing and artificial intelligence: status and perspectives Quantum Hamiltonian Descent

Reference 66

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source=pdf_text observed=2026-08-07T12:54:06.245260Z digest=sha256:ebe04f8eab472b946965ed46270461f67a27459832ac3669a1f0f3bd36e9d0ec

Observation 9113d265-133d-45aa-9282-82ed8897a124 · outbound

This paper cites Implementing evolutionary op- timization on actual quantum processors,.

Quantum computing and artificial intelligence: status and perspectives Implementing evolutionary op- timization on actual quantum processors,

Reference 67

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source=pdf_text observed=2026-08-07T12:54:06.373342Z digest=sha256:6206a8334589fdeb2429b1e3ffc34efb43ff301c28f726cdbc5e3f30604bb85c

Observation b0904250-95e9-4b86-aa3f-357e7b875d47 · outbound

This paper cites A case study in program- ming a quantum annealer for hard operational planning prob- lems,.

Quantum computing and artificial intelligence: status and perspectives A case study in program- ming a quantum annealer for hard operational planning prob- lems,

Reference 68

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source=pdf_text observed=2026-08-07T12:54:06.565479Z digest=sha256:c1196ced24bf4a3c7ed27c3bb335889e7bf00228427679d7173b195fa34782b3

Observation f5f1ddd8-cbbc-4d10-bbcb-c741338c5f47 · outbound

This paper cites Quantum partially ob- servable Markov decision processes,.

Quantum computing and artificial intelligence: status and perspectives Quantum partially ob- servable Markov decision processes,

Reference 69

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source=pdf_text observed=2026-08-07T12:54:06.719239Z digest=sha256:cd0e4e4efffaf143f648c0056a0d3452186277b469a0453b1fd06f8e01ff1d63

Observation 737d6df3-e0ce-4ac9-a1d9-fc375f6c43fe · outbound

This paper cites On the imple- mentation of fuzzy inference engines on quantum computers,.

Quantum computing and artificial intelligence: status and perspectives On the imple- mentation of fuzzy inference engines on quantum computers,

Reference 70

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source=pdf_text observed=2026-08-07T12:54:06.855229Z digest=sha256:63d7b3b724364ac3e310ef7e5a705d1471d9bc02925593b11f42d7f68e18fa9f

Observation 552b22ab-0c5b-42aa-bca7-db3ad3d6602f · outbound

This paper cites Quantum Bayesian nets,.

Quantum computing and artificial intelligence: status and perspectives Quantum Bayesian nets,

Reference 71

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source=pdf_text observed=2026-08-07T12:54:06.976346Z digest=sha256:7ceeeaf54bae53b3928d4103a62f0df02b225aa391bbbcf0a7ebeebfb7b53ac3

Observation c21188fa-1bbb-41db-bdb9-64ec90b7ada1 · outbound

This paper cites The Mathematics of Text Structure.

Quantum computing and artificial intelligence: status and perspectives The Mathematics of Text Structure

Reference 72

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source=pdf_text observed=2026-08-07T12:54:07.114971Z digest=sha256:c7133c84e12c9aafc2226389ecf45fbebf8155ff385488f3723a7fe6110d2779

Observation 64ca27a8-f32e-41c9-9fc4-ce7206ec5341 · outbound

This paper cites Scalable and interpretable quantum natural language processing: an implementation on trapped ions.

Quantum computing and artificial intelligence: status and perspectives Scalable and interpretable quantum natural language processing: an implementation on trapped ions

Reference 73

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source=pdf_text observed=2026-08-07T12:54:07.261007Z digest=sha256:3a0a1c4fe61afe85b06f6e9d58bc4660a978a7d096d88a5330eec59eb1707a99

Observation de042ba5-3cea-40a3-8d1a-88e7a1ae17b6 · outbound

This paper cites Quan- tum algorithms for compositional text processing,.

Quantum computing and artificial intelligence: status and perspectives Quan- tum algorithms for compositional text processing,

Reference 74

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source=pdf_text observed=2026-08-07T12:54:07.419093Z digest=sha256:f0381310b323b21bb885ac0097c914c8623a1d7cd7ddb23e50c682802360c81e

Observation 37a3b166-4b5f-4e3b-a939-6f8f108548eb · outbound

This paper cites Weiss, Multiagent systems: a modern approach to dis- tributed artificial intelligence (MIT press, 1999).

Quantum computing and artificial intelligence: status and perspectives Weiss, Multiagent systems: a modern approach to dis- tributed artificial intelligence (MIT press, 1999)

Reference 75

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source=pdf_text observed=2026-08-07T12:54:07.559630Z digest=sha256:eeb09c30bb3c9d0e8f2c9df5c67b3ee57bc13e7768a20b4af54b87ec24dae6b9

Observation 5a8baeac-3104-4230-a511-681490800a81 · outbound

This paper cites Toward Quantum Computational Agents,.

Quantum computing and artificial intelligence: status and perspectives Toward Quantum Computational Agents,

Reference 76

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source=pdf_text observed=2026-08-07T12:54:07.629148Z digest=sha256:f726451269b6666b616ade34ba951273721a586bda3b30542ddf11cd2bfb88cf

Observation 2a2fed08-2bd5-440f-99fc-d2e5d66c9224 · outbound

This paper cites Programming and simulation of quantum search agents,.

Quantum computing and artificial intelligence: status and perspectives Programming and simulation of quantum search agents,

Reference 77

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source=pdf_text observed=2026-08-07T12:54:07.719635Z digest=sha256:00017a55b9bc88220deda4854161a873d9c0e6c91fb6b6a99031a9de18af749a

Observation 850206c8-c8a1-4c52-98f0-fd780f016f58 · outbound

This paper cites Behavior of multi- agent protocols using quantum entanglement,.

Quantum computing and artificial intelligence: status and perspectives Behavior of multi- agent protocols using quantum entanglement,

Reference 78

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source=pdf_text observed=2026-08-07T12:54:07.871504Z digest=sha256:6131bc5ad94b37cd499cd5555c6fab81cf33c898750f2fb81edf92dfbd7a605b

Observation 1a08489f-6a02-46c1-a1ec-bb27bfb406ec · outbound

This paper cites Computational coali- tion formation,.

Quantum computing and artificial intelligence: status and perspectives Computational coali- tion formation,

Reference 79

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source=pdf_text observed=2026-08-07T12:54:08.039491Z digest=sha256:bdf02e586dd84c06e069fb33afa677aca8c1773f90591956da4453fc735eea47

Observation 67723c5d-ac32-4ab1-ab5d-4a3a665a669b · outbound

This paper cites A survey on ap- plications of coalition formation in multi-agent systems,.

Quantum computing and artificial intelligence: status and perspectives A survey on ap- plications of coalition formation in multi-agent systems,

Reference 80

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source=pdf_text observed=2026-08-07T12:54:08.211379Z digest=sha256:43fde68ef9e91304942f9daeead909604914aa6e037acdf590660841b485ff5a

Observation 53c6f34b-ee1d-4196-8df9-c2a49bda110f · outbound

This paper cites Quantenbasierte Koordination von Multiagen- tensystemen,.

Quantum computing and artificial intelligence: status and perspectives Quantenbasierte Koordination von Multiagen- tensystemen,

Reference 81

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source=pdf_text observed=2026-08-07T12:54:08.355911Z digest=sha256:2a4bacb0f87171f03e4295a8ad588bccb8d1365fde431d1ea3a3ccf38413bcb9

Observation 548a9b21-8a64-4fde-96b1-f929d6781e11 · outbound

This paper cites Qubit-efficient encoding schemes for binary optimisation problems,.

Quantum computing and artificial intelligence: status and perspectives Qubit-efficient encoding schemes for binary optimisation problems,

Reference 82

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source=pdf_text observed=2026-08-07T12:54:08.526080Z digest=sha256:052fdb3429d6362a2a6906be0700c2fb41efbd629ba25b6710367c65718e5ac2

Observation f2771062-d9e4-4c30-9c4e-479ba99b5811 · outbound

This paper cites A Survey of Quantum Transformers: Approaches, Advantages, Challenges, and Future Directions,.

Quantum computing and artificial intelligence: status and perspectives A Survey of Quantum Transformers: Approaches, Advantages, Challenges, and Future Directions,

Reference 83

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source=pdf_text observed=2026-08-07T12:54:08.630375Z digest=sha256:6999f99fafab1d82264f2414ae2e7546aa8533a0ca0b666a071332542a78419e

Observation 4a9a15f3-cfd8-4fd9-9e3d-510f51c9482f · outbound

This paper cites Exponential quantum advantages in learning quantum observables from classical data.

Quantum computing and artificial intelligence: status and perspectives Exponential quantum advantages in learning quantum observables from classical data

Reference 84

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source=pdf_text observed=2026-08-07T12:54:08.713710Z digest=sha256:644154ef6a31fe72be0e79a0ffa586997c594c54bf1c75f1a0493aa93beae1f3

Observation 70c95468-1dae-43b5-acc2-ff7c3198c36a · outbound

This paper cites Exponential separations between classical and quantum learners.

Quantum computing and artificial intelligence: status and perspectives Exponential separations between classical and quantum learners

Reference 85

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source=pdf_text observed=2026-08-07T12:54:08.855731Z digest=sha256:2de1d473d5de5c7ef99295394aa4f17220df74eb353458a5125b5d39fb47e3d5

Observation 1d3dea66-a010-4adf-ac63-4b20f9bffa1a · outbound

This paper cites Artificial intelligence and machine learning for quantum technologies,.

Quantum computing and artificial intelligence: status and perspectives Artificial intelligence and machine learning for quantum technologies,

Reference 86

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source=pdf_text observed=2026-08-07T12:54:08.974968Z digest=sha256:7dbf10c38b0a6a7585d7f29521b933eacf68e92914e62d9d30ac576434249f2d

Observation 0745639c-cff0-4020-b29c-46140053c1d1 · outbound

This paper cites Learning quantum systems,.

Quantum computing and artificial intelligence: status and perspectives Learning quantum systems,

Reference 87

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source=pdf_text observed=2026-08-07T12:54:09.089602Z digest=sha256:e53b797e9c73bf4ad7c6f8215a7e0adef2563e50769c2abb04cc6879af0b16cc

Observation 90d689d2-98e1-418e-a136-e59c9e17ed97 · outbound

This paper cites Artificial intelligence for quantum computing,.

Quantum computing and artificial intelligence: status and perspectives Artificial intelligence for quantum computing,

Reference 88

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source=pdf_text observed=2026-08-07T12:54:09.224254Z digest=sha256:097d61c7c10ef1c17a2875f56529a00565a7c2b439ed0ee0821db9e632fdb009

Observation 41d684b9-57ee-4582-94d8-c2b72d88a871 · outbound

This paper cites Uni- versal quantum control through deep reinforcement learning,.

Quantum computing and artificial intelligence: status and perspectives Uni- versal quantum control through deep reinforcement learning,

Reference 89

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source=pdf_text observed=2026-08-07T12:54:09.358988Z digest=sha256:b850b3160993aaea0d942be1a49346f5d0af907d9dab0bdb5cc549cabece0da0

Observation 3fca2c52-844a-4494-b110-a789c9f768b8 · outbound

This paper cites Reinforcement learning in different phases of quantum control,.

Quantum computing and artificial intelligence: status and perspectives Reinforcement learning in different phases of quantum control,

Reference 90

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source=pdf_text observed=2026-08-07T12:54:09.485976Z digest=sha256:ae4ce8bf3c430e5a52235df13c0bc10150eb52845877df44f75ac02ce49d5a9e

Observation 9428967d-b800-46b5-a4d6-649213bccc0b · outbound

This paper cites Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer,.

Quantum computing and artificial intelligence: status and perspectives Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer,

Reference 91

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source=pdf_text observed=2026-08-07T12:54:09.580447Z digest=sha256:0a99aa77d07c8af486ea7bee242bd5eb280a882a2f56af4c0cbd2a13cb970f6f

Observation 9a988b25-a101-4eaa-aa2d-847b08122215 · outbound

This paper cites Quantum feedback control with a transformer neural network architecture,.

Quantum computing and artificial intelligence: status and perspectives Quantum feedback control with a transformer neural network architecture,

Reference 92

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:54:09.666657Z digest=sha256:e04f6529d2c813c730d8b03ad1943aa7aae7cdc943402db967364ea684b67e71

Observation da5d2aa9-87c8-4a1a-a165-0bfc7918dda8 · outbound

This paper cites Physics-informed tracking of qubit fluctuations,.

Quantum computing and artificial intelligence: status and perspectives Physics-informed tracking of qubit fluctuations,

Reference 93

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source=pdf_text observed=2026-08-07T12:54:09.729224Z digest=sha256:e0b85208aa50b48662d13a9f5f713343aee80fc0b656918fd9207702d527eabf

Observation 381b66d6-8f40-43f9-bb22-88496e43ee83 · outbound

This paper cites Machine learning assisted readout of trapped- ion qubits,.

Quantum computing and artificial intelligence: status and perspectives Machine learning assisted readout of trapped- ion qubits,

Reference 94

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source=pdf_text observed=2026-08-07T12:54:09.822718Z digest=sha256:2c81bd4ad3ea41f89cd2b56994a827963339a5c64cfd97cd3ffa20805eab29a3

Observation ae07257d-1c96-48ec-8f9f-b7fc63df4bc6 · outbound

This paper cites Repetitive readout enhanced by machine learning,.

Quantum computing and artificial intelligence: status and perspectives Repetitive readout enhanced by machine learning,

Reference 95

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source=pdf_text observed=2026-08-07T12:54:09.911864Z digest=sha256:4f1e77c0a8414e78c1e91bedbd532690c705144a23a0c1ff8887894677fe98b3

Observation a19137d2-8337-406f-bc0a-008cefd17586 · outbound

This paper cites Deep-neural- network discrimination of multiplexed superconducting-qubit states,.

Quantum computing and artificial intelligence: status and perspectives Deep-neural- network discrimination of multiplexed superconducting-qubit states,

Reference 96

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source=pdf_text observed=2026-08-07T12:54:10.008224Z digest=sha256:af9ac8996eecd9f4a90ca6a1ca0d6e30ff69a59e515b609d5371f5a5b2c25d89

Observation 48226513-7e07-4805-af02-35a208474cce · outbound

This paper cites Automated long-range compensation of an RF quantum dot sensor,.

Quantum computing and artificial intelligence: status and perspectives Automated long-range compensation of an RF quantum dot sensor,

Reference 97

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source=pdf_text observed=2026-08-07T12:54:10.078533Z digest=sha256:39551ea0c31a34e8810b3a7dfa97c4a5e8744dd67d7f08e65e9b48fcadde6a64

Observation bad6a20c-f799-4f27-b82f-05453a3a2b64 · outbound

This paper cites Quantum circuit optimization with deep reinforcement learning.

Quantum computing and artificial intelligence: status and perspectives Quantum circuit optimization with deep reinforcement learning

Reference 98

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source=pdf_text observed=2026-08-07T12:54:10.171153Z digest=sha256:e00a80b870148ba510587427d9275b7e17df914d3b0d038cb6322ed468a8ad74

Observation 626484de-1586-4f1e-86f2-3215d358120d · outbound

This paper cites Using reinforcement learning to perform qubit routing in quantum compilers,.

Quantum computing and artificial intelligence: status and perspectives Using reinforcement learning to perform qubit routing in quantum compilers,

Reference 99

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source=pdf_text observed=2026-08-07T12:54:10.278829Z digest=sha256:c03a9816144b6375656edbdf513cada678160c320b46c682018adf1207c9cbc6

Observation 99efe82b-fba1-4a16-b377-6ee0440efad2 · outbound

This paper cites Quantum cir- cuit synthesis with diffusion models,.

Quantum computing and artificial intelligence: status and perspectives Quantum cir- cuit synthesis with diffusion models,

Reference 100

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source=pdf_text observed=2026-08-07T12:54:10.345458Z digest=sha256:09a3d4b1cb89f0768ea384f02795ea492f580c655fd10053e2a9d3822ec2693e

Observation 8d93b87a-b1ea-48bf-92be-ba42c83c4169 · outbound

This paper cites Quantum compiling by deep reinforcement learning,.

Quantum computing and artificial intelligence: status and perspectives Quantum compiling by deep reinforcement learning,

Reference 101

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source=pdf_text observed=2026-08-07T12:54:10.437596Z digest=sha256:4df880a90c8ccfcba39f49de7cf7e8db2c30d98909f5693e84d85799077230ed

Pith citing papers

Observation 8078817d-8fbf-4069-b0a2-1e02b52a197a · inbound

Exploring Quantum Responsible Innovation efforts in Canada and the world cites this paper.

Exploring Quantum Responsible Innovation efforts in Canada and the world Quantum computing and artificial intelligence: status and perspectives

Reference 21

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source=pdf_text observed=2026-08-06T19:32:08.705116Z digest=sha256:92e553e126ef8045ea6d210cb301b579b27ab3e717739a0e765a616d73f7976a

Observation e08bf17a-00d5-4d00-ba76-064d7e870318 · inbound

Parity Cross-Resonance: A Multiqubit Gate cites this paper.

Parity Cross-Resonance: A Multiqubit Gate Quantum computing and artificial intelligence: status and perspectives

Reference 27

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source=arxiv_source observed=2026-08-05T20:18:00.272739Z digest=sha256:ee2d0d4e3af90d7dae7512d3b9c3e2dceb07638c0645c08d29cc8771bc923d9f

Observation 87964bc9-acc0-4d98-a737-8a049175a7c6 · inbound

Qubit Health Analytics and Clustering for HPC-Integrated Quantum Processors cites this paper.

Qubit Health Analytics and Clustering for HPC-Integrated Quantum Processors Quantum computing and artificial intelligence: status and perspectives

Reference 33

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source=pdf_text observed=2026-08-05T14:31:31.600222Z digest=sha256:66cbb458f3328e3b904fc6189018d8121ade777f2a39c9c7acd5ebe56f8c9e93

Observation 25690e7b-79cc-40e5-b127-95139989b33e · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems Quantum computing and artificial intelligence: status and perspectives

Reference 3

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source=pdf_text observed=2026-08-05T05:50:31.980032Z digest=sha256:c51b2dc66f901838ad736423199c689fb5b8b06826d070e0e3b5b2f8c1b4fde4

Observation b9be65d4-8e4c-474c-8229-e0864a56e870 · inbound

Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification cites this paper.

Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification Quantum computing and artificial intelligence: status and perspectives

Reference 7

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arxiv_id, observed 2026-05-18T18:31:44.334928Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T18:29:51.375220Z digest=sha256:6a19156848c1c1b7f240e6358d40d3e980e0ec35a6858ef4e99e87643d64f717

Observation 56f8100a-8d12-44f5-9ebd-6c8da85091d4 · inbound

DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing cites this paper.

DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing Quantum computing and artificial intelligence: status and perspectives

Reference 27

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arxiv_id, observed 2026-05-16T21:08:33.015280Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T21:04:13.847669Z digest=sha256:1b86707a11937630f06ba16cfe383e18bef329e65b00345e6df58c84182ae7b8

Observation b40a872c-7243-4354-84b2-b2f9dd0ce4fd · inbound

AML-QKD: Adaptive Machine Learning Framework for Real-time Parameter Tuning in QKD cites this paper.

AML-QKD: Adaptive Machine Learning Framework for Real-time Parameter Tuning in QKD Quantum computing and artificial intelligence: status and perspectives

Reference 2

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source=pdf_text observed=2026-08-02T18:58:07.814479Z digest=sha256:25bdc8c6df3396454c65a5c4ceb8692e9a79ab797b9463ad901e902660f6b908

Observation 833c1efd-a022-4b15-8225-8f275c7b28c4 · inbound

Optimal algorithmic complexity of inference in quantum kernel methods cites this paper.

Optimal algorithmic complexity of inference in quantum kernel methods Quantum computing and artificial intelligence: status and perspectives

Reference 2

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arxiv_id, observed 2026-05-10T12:00:22.287596Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:4e8f868c47359cfd514b205ee6d25e1bba45598ad374f89903becc00927d597e

Observation 8e0d769d-d2df-44e0-a42b-810c38503d10 · inbound

Quantum Integrated High-Performance Computing: Foundations, Architectural Elements and Future Directions cites this paper.

Quantum Integrated High-Performance Computing: Foundations, Architectural Elements and Future Directions Quantum computing and artificial intelligence: status and perspectives

Reference 88

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arxiv_id, observed 2026-05-10T08:53:04.389111Z

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source=pdf_text observed=2026-05-10T08:49:27.022403Z digest=sha256:a2d04288f4bb8a43d4f53aa8399e4adcf92b9a2a9cbb18d85e68554d29f5dea5

Observation d5bde6bb-f972-43f1-bed9-5bfe259dea2e · inbound

Local tensor-train surrogates for quantum learning models cites this paper.

Local tensor-train surrogates for quantum learning models Quantum computing and artificial intelligence: status and perspectives

Reference 3

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arxiv_id, observed 2026-05-11T23:26:19.697147Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T16:58:36.889900Z digest=sha256:6982b7c0d8ba416593e3f38056996dcc0e1c49c3a8459bd323fea60ac2156fa2

Observation ef6e7765-8e94-42aa-99e7-a8fd3b444e59 · inbound

Hybrid quantum-classical physics-informed neural networks for solving nonlinear PDEs: when and where hybridization is effective? cites this paper.

Hybrid quantum-classical physics-informed neural networks for solving nonlinear PDEs: when and where hybridization is effective? Quantum computing and artificial intelligence: status and perspectives

Reference 9

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arxiv_id, observed 2026-06-28T06:11:42.391497Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T06:04:44.733215Z digest=sha256:8e3dd70353e18e2a5beb26d47492848fb6b9388874a51dd1e04cf34651345007

Observation ebb8715a-5e6f-4a85-baef-9c9620e70e78 · inbound

An Al$^+$ clock with $1.6\times10^{-18}$ systematic uncertainty and its frequency ratios cites this paper.

An Al$^+$ clock with $1.6\times10^{-18}$ systematic uncertainty and its frequency ratios Quantum computing and artificial intelligence: status and perspectives

Reference 26

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arxiv_id, observed 2026-06-26T06:29:03.579424Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T06:26:33.452554Z digest=sha256:b066f9d26811638614200c69b737e2939d688eadadf40f979be292b5b1c1c107

Observation b696da57-d4fe-4bea-af0b-4a3fa2d5b684 · inbound

Hybrid Quantum-Classical Neural Networks for Recognizing Quantum Phases cites this paper.

Hybrid Quantum-Classical Neural Networks for Recognizing Quantum Phases Quantum computing and artificial intelligence: status and perspectives

Reference 11

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arxiv_id, observed 2026-07-01T17:35:51.089020Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T03:38:07.505166Z digest=sha256:9f9c464f300fc0a2c19d38463bec6c654dff7c77529a8546d31c6074a3701ba1