Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:54:10.437596Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:54:10.437596Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:32:08.705116Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
100 of 225 outbound references displayed
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation 7d083477-3d78-4657-b33b-0daeea199187 · outbound
Quantum computing and artificial intelligence: status and perspectives Machine learning and the physical sciences,
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Quantum computing and artificial intelligence: status and perspectives Machine learning and artifi- cial intelligence in the quantum domain: a review of recent progress,
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Quantum computing and artificial intelligence: status and perspectives A comprehensive review of quantum machine learning: from NISQ to fault tolerance,
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Quantum computing and artificial intelligence: status and perspectives Noisy intermediate-scale quantum (NISQ) algo- rithms,
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Quantum computing and artificial intelligence: status and perspectives Quantum algorithms: an overview,
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Quantum computing and artificial intelligence: status and perspectives Quantum error correction for quantum memo- ries,
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Quantum computing and artificial intelligence: status and perspectives Quantum artificial intelligence: A brief survey,
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Quantum computing and artificial intelligence: status and perspectives Variational quantum algorithms,
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Quantum computing and artificial intelligence: status and perspectives A Survey on Quantum Reinforcement Learning
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Quantum computing and artificial intelligence: status and perspectives Unresolved cited work
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Observation 615241ad-326f-4ae5-aec3-db2bbf29ca4d · outbound
Quantum computing and artificial intelligence: status and perspectives Quantum machine learn- ing: a classical perspective,
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Quantum computing and artificial intelligence: status and perspectives Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
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Quantum computing and artificial intelligence: status and perspectives Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
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Observation c4e43e24-93eb-41d5-84a6-d2caeae74b98 · outbound
Quantum computing and artificial intelligence: status and perspectives Quantum supervised learning,
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Observation 195bce7a-a5b8-48cf-8362-4a52c6879fa9 · outbound
Quantum computing and artificial intelligence: status and perspectives Quantum machine learning,
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Quantum computing and artificial intelligence: status and perspectives Fault-Tolerant Quantum Ma- chine Learning,
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Observation ad6527bf-2d7b-4218-91b4-ab4d6330eefa · outbound
Quantum computing and artificial intelligence: status and perspectives Quantum support vector machine for big data classification,
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Observation 5cd91fa4-cd56-44b0-88e7-370e19f8c44d · outbound
Quantum computing and artificial intelligence: status and perspectives Quantum splines for non-linear approximations,
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Quantum computing and artificial intelligence: status and perspectives Quantum algorithms for supervised and unsupervised machine learning
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Quantum computing and artificial intelligence: status and perspectives Quantum algo- rithm for linear eystems of equations,
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Quantum computing and artificial intelligence: status and perspectives Towards provably efficient quantum algorithms for large-scale machine-learning models,
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Quantum computing and artificial intelligence: status and perspectives Shadows of quantum machine learning,
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Quantum computing and artificial intelligence: status and perspectives Quantum convolutional neural networks,
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Quantum computing and artificial intelligence: status and perspectives Quantum percep- tron models,
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Quantum computing and artificial intelligence: status and perspectives The quest for a quantum neural network,
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Quantum computing and artificial intelligence: status and perspectives Training deep quantum neural networks,
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Quantum computing and artificial intelligence: status and perspectives Quantum machine learning in feature Hilbert spaces,
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Quantum computing and artificial intelligence: status and perspectives Parame- terized quantum circuits as machine learning models,
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Quantum computing and artificial intelligence: status and perspectives The power of quantum neural networks,
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Observation a4d12f51-6d84-4031-8b5c-361c280cb6ed · outbound
Quantum computing and artificial intelligence: status and perspectives Generalization in quantum 28 machine learning from few training data,
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Quantum computing and artificial intelligence: status and perspectives Understanding quantum machine learning also requires rethinking generaliza- tion,
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Quantum computing and artificial intelligence: status and perspectives Power of data in quantum machine learning,
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Observation cff3efcd-103a-49a5-ae4b-6a2fd3fb55e6 · outbound
Quantum computing and artificial intelligence: status and perspectives Barren plateaus in quantum neural network train- ing landscapes,
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Quantum computing and artificial intelligence: status and perspectives Quantum variational al- gorithms are swamped with traps,
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Observation 5ac2dc0b-80e2-49fe-a209-853132c48ffd · outbound
Quantum computing and artificial intelligence: status and perspectives On quantum backpropaga- tion, information reuse, and cheating measurement collapse,
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Observation 09c1a28a-a619-49f8-b108-cc28be115e37 · outbound
Quantum computing and artificial intelligence: status and perspectives Dequantizing algorithms to understand quantum ad- vantage in machine learning,
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Observation 581811c3-20dc-4f17-bb88-ec718dd16c4a · outbound
Quantum computing and artificial intelligence: status and perspectives Classical surrogates for quantum learning models,
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Observation d1cf95fd-2e20-4766-be7f-003899835f6b · outbound
Quantum computing and artificial intelligence: status and perspectives Towards efficient quantum algorithms for diffusion probability models,
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Observation c9052dba-d28b-49c1-b09e-9b0597033066 · outbound
Quantum computing and artificial intelligence: status and perspectives Reinforce- ment learning: A survey,
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Quantum computing and artificial intelligence: status and perspectives Actor-critic algorithms,
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Quantum computing and artificial intelligence: status and perspectives A survey of actor-critic reinforcement learning: Standard and natural policy gradients,
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Observation 281caff3-baa7-487e-94e8-d34e855f1793 · outbound
Quantum computing and artificial intelligence: status and perspectives Quantum Advantage Actor-Critic for Reinforcement Learning
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Quantum computing and artificial intelligence: status and perspectives Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars,
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Observation f7e9fde9-53f9-47a9-a091-1162ff93d497 · outbound
Quantum computing and artificial intelligence: status and perspectives q- means: A quantum algorithm for unsupervised machine learn- ing,
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Quantum computing and artificial intelligence: status and perspectives Quantum spectral clustering,
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Quantum computing and artificial intelligence: status and perspectives Quantum random access memory,
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Quantum computing and artificial intelligence: status and perspectives Quantum fingerprinting,
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Quantum computing and artificial intelligence: status and perspectives Challenges and oppor- tunities in quantum optimization,
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Quantum computing and artificial intelligence: status and perspectives A generative model- ing approach for benchmarking and training shallow quantum circuits,
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Quantum computing and artificial intelligence: status and perspectives On the relation between trainability and dequantization of variational quantum learning models,
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Quantum computing and artificial intelligence: status and perspectives On the quantum versus classical learnability of discrete distributions,
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Observation 47862b5f-e08d-49d9-b313-8bbfb239e0e9 · outbound
Quantum computing and artificial intelligence: status and perspectives Supervised learning with quantum enhanced feature spaces,
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Quantum computing and artificial intelligence: status and perspectives Opportunities and limitations of explaining quantum machine learning
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Quantum computing and artificial intelligence: status and perspectives Quantum principal component analysis,
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Quantum computing and artificial intelligence: status and perspectives A fast quantum mechanical algorithm for database search,
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Quantum computing and artificial intelligence: status and perspectives A case study in program- ming a quantum annealer for hard operational planning prob- lems,
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Quantum computing and artificial intelligence: status and perspectives Quantum partially ob- servable Markov decision processes,
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Quantum computing and artificial intelligence: status and perspectives The Mathematics of Text Structure
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Observation e08bf17a-00d5-4d00-ba76-064d7e870318 · inbound
Parity Cross-Resonance: A Multiqubit Gate Quantum computing and artificial intelligence: status and perspectives
Reference 27
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Observation 87964bc9-acc0-4d98-a737-8a049175a7c6 · inbound
Qubit Health Analytics and Clustering for HPC-Integrated Quantum Processors Quantum computing and artificial intelligence: status and perspectives
Reference 33
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Observation 25690e7b-79cc-40e5-b127-95139989b33e · inbound
Artificial intelligence for representing and characterizing quantum systems Quantum computing and artificial intelligence: status and perspectives
Reference 3
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Observation b9be65d4-8e4c-474c-8229-e0864a56e870 · inbound
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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 56f8100a-8d12-44f5-9ebd-6c8da85091d4 · inbound
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.
Observation b40a872c-7243-4354-84b2-b2f9dd0ce4fd · inbound
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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Observation 833c1efd-a022-4b15-8225-8f275c7b28c4 · inbound
Optimal algorithmic complexity of inference in quantum kernel methods Quantum computing and artificial intelligence: status and perspectives
Reference 2
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8e0d769d-d2df-44e0-a42b-810c38503d10 · inbound
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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d5bde6bb-f972-43f1-bed9-5bfe259dea2e · inbound
Local tensor-train surrogates for quantum learning models Quantum computing and artificial intelligence: status and perspectives
Reference 3
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ef6e7765-8e94-42aa-99e7-a8fd3b444e59 · inbound
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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ebb8715a-5e6f-4a85-baef-9c9620e70e78 · inbound
An Al$^+$ clock with $1.6\times10^{-18}$ systematic uncertainty and its frequency ratios Quantum computing and artificial intelligence: status and perspectives
Reference 26
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.
Observation b696da57-d4fe-4bea-af0b-4a3fa2d5b684 · inbound
Hybrid Quantum-Classical Neural Networks for Recognizing Quantum Phases Quantum computing and artificial intelligence: status and perspectives
Reference 11
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.