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Paper Citation Record · LEDGER

Quantum computing and artificial intelligence: status and perspectives

As of 9 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 2026-08-09T06:31:02.800959+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:af0a5fb2318ce0a9c2cd64317c704905b2ab50f699e86b355bf6d4e57a5c2358

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:e9ce851dace0c7ddc0d563c24a1480c27139f40a81db385a97405eeebfb7c79e

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=sha256:40657d1d8890e53e656a7488345376a7f819ec6c94c40bff1cb1986b7dcc5559

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:b77b3c2efab0e0727a40e52eab3b5f59789d549e57c328755a6729560ca8bc52

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:a1b471f0fdd51f1dc154dfd7d50dbffd4f1dc024a8a184b976a19b4a1130c618

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:f303d29730b9002c6be141edb71c1ac5e7527d724c7d88ea2f704f40c1513bb3

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:f677262638a05c9d8b61fcd1a92e0d09a2ccf61977e1bdc6e95b2f8a731406ef

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=sha256:2f83a24fd349a03f461d5818d698a91690595e01425f61885cb2e4b63a3c790b

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=sha256:6447a304e41e464b2cfa2001bf0bcdb6e8150de9ee8c859778191ab36c9abbda

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:ece6bcba677917a2e6d351cdd57f56e02de2c3c7503f5e11fdefd71553a0c98a

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:bb0146be7472c140da419a0901a93be0f0fcb0e5ce69a3d6b01e8b5023e4000f

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=sha256:540481081ff1e958b3b64ed2e776dc21628d6f15971a35a20bdcdca829781b09

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:a27a7c7ce4b4d488dee3343eb4b79a78518ff900bd5a56f01bb687803c1648b2

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:ed1877d3b332216f7c379a7c91fa254697aab9390b9b3ddc35e63e14ab8194fa

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:e013cccfe2f345e302430fca7031c51ed16405589454182dc36706e5512fbae0

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=sha256:9b44e3f244f052f6e92000a26ca68dd130f10579fc4faae85e3ab7d17c2a787b

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=sha256:73c60f9f718473db9e90c0be464c91145a7b593de773afc95ad564ab4d6aab91

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:c3d2fd952120166345bd6c63e9cceef8caac8784df1369a570b3fbf0dacbf6c1

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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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=sha256:339be565ec5e84cf5930f94ab7ed7107dad15935bae3527c26e739220cbdf989

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:e897c1f87549ac66bc46281c86cf6dd1a8e6360e4fa16a26259d4addd1cddb99

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:feb36ee016ab96e9116204030194e1377afb30cd19715f70631b7ddf3a018ffb

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=sha256:41c9bad20d8362647c34981e5eff5ca18a52063fd2498ab5450f84b4af4fcd5c

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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source=pdf_text observed=2026-08-07T12:54:00.445548Z digest=sha256:294aca0920730eda383405f4da383f71bce569770b2a831c5a8aa298ad2d6e37

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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source=pdf_text observed=2026-08-07T12:54:00.593450Z digest=sha256:b3e7a61026a7e9a79edf0c342a61986c97cf6dd50891b5aa88b1c47385e4a4c2

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=sha256:86d9b30b26ef761f642fef93800a15976636b76e9c6f40bd273940c3216e4d6d

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=sha256:1f19c0c93207427750405542ed801fd993747c64fc9300378801c5bb55b5fdc9

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=sha256:73dc13f6c1c73fe6821e435520029d2e9076534e91db7a98e8b906ba652b24c2

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=sha256:1a9f4d5bab4e5a84633e3c105e09a3f2538dfcb9e3fe2c48b3952945ce3a5622

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=sha256:1485f131132363025d5e9280606f127b13809d5629fbd6d6d7d449610e0a59a2

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:b89315bcb2330f5d3063ea56a1585f18ea51cf75f14712f2b982c4491907be1e

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:d45bafa5fe510fe33cadd56ea1bca5a7414b5fb0ef959bb72e535ac161e2e905

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=sha256:39aaafc3ed21be5f6bb45dcc0049c7734249a18aa172828889046be8c2f972c3

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=sha256:2228777851c69315beddd6c96f99c502695c25c5e81b1edd7f6ecb50a2f147cc

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=sha256:0b1f66049120b59a19ff3f95a92b0ea553c2ed591d6a3ac9674e6bf50926e1f5

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=sha256:3a964f6fd071b96a623462fe7df51aaa94022825c44ebefbb2a6a1556febef87

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=sha256:3052835c121bc67078a7fd9ceba70aba44ff4cd5705dd10e7e505b2adbd26ea2

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=sha256:169042c82c71a25dbfe1eda91631055c3895a17619773ae8de414c8a9c1353ea

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:e44814cf26a2e8d2fb7d0799d62a54c41806834ee02fe09a72395d173730742e

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=sha256:81846e210a010ac61b91b69e7109b449565ec71509895882ff614fc28bf1888b

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=sha256:6b1b036af3dabe9e4ddf2d40c30b80eca94a2d5d634721048a9ffb65b9e59105

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:f9f588a19b21072572bb2aadb3666c78cc8f2d68b90d40bc155ded691933c6a1

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=sha256:7def2aea799467f6a401f90ae3f3e605775d5261b0e9dc63662d1dac4ba83c0c

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=sha256:150ad55ca1983c3841ad7c8a3cd4455da2ddd1cf2cb9dc2e919729c18e1e6990

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=sha256:45b51de5abeade44de38bf66896fd700febaee37e026fb830e1029573eda848d

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:ce8ffc4ed68a15241e706c0e9ce19c61eaf3efc73d92d44df54f0032c4b04db5

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=sha256:42729c3f9d6eef99cf057cf1cb5e61b65a6d104a4e5fb55464de7a833a50c842

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=sha256:198bac7d6499323b9accff965f0d8af931f8986436d24abca8522fa0fcc3a2b5

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:e18beae94d8347a3eb6e1cc79043acc356658b35332dc52252fe51a3668d7209

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:de54de08d49d19660c02fc44b5949a71679dc0d40311320c415fbee6b214e6df

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=sha256:14ba2b7f3b6b8715daeed608ec4375830f7c079d70c590167ad45aa8a7b71395

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=sha256:089b590cd70cd57a50a0ea65d7a083bcc75874b46e796965798e59f937bb039b

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:ab28fb3d0383e87845096176345041b9bf8bca19e3796cd1583d61eded3ff472

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=sha256:598bc22d72799b755cce692abdffe7ef2b8c2b4ce566b78fcf044a5cf9259e9f

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=sha256:471838db3138401b6bfe097490dbe6ec161cd238dc2553853c720ee3d25251b7

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:b44dc696c4b2f078543d2eca9937ddf2188a75ae923ab4a6eb2bba60a6d7699a

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=sha256:84942d4394b944668a3fce51e33668df9248280234a04cb77f0cb9be731d8495

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=sha256:4f27b9698962ee581848ec8a836ef94c4508ffca38a781726a4344f2cca3e988

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=sha256:458ca31e2e2e99e22e20386d08996764b9f5e6fdb11b855fa4458e85a9e6a902

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=sha256:9bf35089f762464af8b8a2956cbef43b10065ceee7984ba3ad4e42e859bc70de

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:ea0141e414a88a3c2b23473c8108ebda46ff724d1dbf832b2d2426d475e3260f

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=sha256:0e9fcb41dba70cb731cad03425d39d94353c3ecfb3becc195ee708cf4c551a61

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=sha256:4f70ecb04b8b26f3f2afd3ecac3b0d200b92547764dd2090f540537e68447aea

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:c94d11e2631e6cfb1de255374ea057d02b2052563ec99a733fa845311d7b61b5

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:e63621222d2e778c24e66ee84c64a2d7b9ba81f39486b20bf516773012224d91

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:adbb1deea98c93094a0a9b82aea4d70adce441013a0d25e21f096add423649ce

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=sha256:37a7e7da86f655688028096e70529872e08d39e37ee9089eb35445fb3d3adb71

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=sha256:98d0f2bd679c0af08b796b2b18364f761e3e116e855464bceeef1879aca08360

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:c68a1b0fe7e9de22d43bfb905883d9511c7317dcae7300e220ad9f946c7e0fc0

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=sha256:416f26494c21cf34d606f568dcc0f48e9c36fe24ba9f626ffe2da1381da432c6

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=sha256:135eedec47fa9ee52ed554654b9532744a006e8f5252f2acd2102a48192885a2

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:effee58ab8051376c9bfab1ac821fc5a150fbedeca99073ac7eaa4cc11a3ded6

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:cade93fb759df96873f2cbf5c6661ebceed22014cd1fd57dfd6ea9feda9546c8

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:ef5e60860a5dc133a6f7ca6cad6738defb7400c4074651738afee88ec53d1d87

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:fa634c8f859571d0e5de91a445cc4a0acf78eb29ca7a9142fca656fc0fe8c738

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=sha256:8642a7dae2e1f296395e03da96c6340ee51cdc5a7117fed0b8d68d19d8a2a2dc

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:fe5eecae39d706bd1c5c20c4021b3b481650b70264e1d92c696aac39f33d1fa6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:54:09.666657Z digest=sha256:1d4769b9b027b7da48ab101c9e4c73c01cf569ab2b8673f2ab29e3c5b2fa4620

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:d08f5f454b0a67f706482d791ded070c194c056c221dd24f9faafbd5a34125d6

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:a1906887df7ac013de2c37ff8cc81afbd1c94ce34ce4b0a9a3d625b69fbf52b6

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=sha256:9aa57380253eb69cdf39812107bd69a68a50f781c19899846d8a5f1fde1883b4

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:e492c45913e84c82752fab31711e9c5c7c99b3de4c7f2b575830f7f5a562663d

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=sha256:4782de866bae600d8820b44dacc02bc9ef231a4f3742dc0b8b92397fdc5969ea

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:b9c370990cb8fd9c973cf701dc4efef1e2ee9aa0c5bfc50f8e615259b31652c0

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:c0a1598728067d2a9faed185a67d0ebaf4cc414870685bf1270238df4a052f64

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=sha256:20aac810eab7efa8cf5abd0ad2c6630171c0c972042b54db30b17ae25b06fe20

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:e79ed7f134cc4a5a8333fc6247c2049be56a54e75cf42c7e04da154d03f44aa8

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=sha256:29c68988b663f16c1907c8fdeeae56ce91e37a2e77f90e540f8938b25c8a1777

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=sha256:1a619a228903fae1015e78b9d875c30de6c9d95f7f842654c6cd1dc14f8dcfe5

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=sha256:3f1593680b1403bf1467857f0beb5afb294441114fad293f0243982913b87b2d

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=sha256:8d0d362187baa67cd7710498a0ce584dc75ea48a0e30a8d5adfa7f132279fb84

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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source=pdf_text observed=2026-05-18T18:29:51.375220Z digest=sha256:8d7a7444015aa8b7d2714204540344a5346960c8be79b1be7e66b6515763eaf6

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T21:04:13.847669Z digest=sha256:e746e2ca458d924be9733a3c366032e1033a715546042298981b26147fa2fd2b

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:f97b296940013e404eabc70dc01d8a14045e91e7299b35c442e001eec2195973

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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source=pdf_text observed=2026-05-10T11:55:39.757540Z digest=sha256:77d7f1f0d443393559a6eac50e97ce446bc02122ac2f7ef5c4ab3cf3288ed2a4

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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source=pdf_text observed=2026-05-10T08:49:27.022403Z digest=sha256:a31cfe3959143405ebd2757891e1881ed7c02b4008d45d3e698e52206e2c85bb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:58:36.889900Z digest=sha256:4b0f064ec86740d648ab03b4fac750baa1df7cf82e39b7182d4a6d0b510ed647

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:04:44.733215Z digest=sha256:9aef225982c2366da7f76c2755784adf64a9d60ff3c26e979156ec6245d772e2

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T06:26:33.452554Z digest=sha256:a8fd8fa96ee7093ff112cb50931fb4d699a60445c495b5a707d736f636f340a4

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T03:38:07.505166Z digest=sha256:c2101b1227954831792fe3f17683348d2ce6483a03fcc5676b933074f7d51f27