Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:32:38.730734Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:1909.01048.
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 2026-08-14T05:32:38.730734Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
65 of 65 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1f314687-1cc3-4483-bb34-5808f06e1900 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum Computing in the NISQ era and beyond, Quantum 2, 79 (2018)
Reference 1
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Training Optimization for Gate-Model Quantum Neural Networks and Chen, L
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Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work
Reference 4
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Training Optimization for Gate-Model Quantum Neural Networks and Hinton, G
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Training Optimization for Gate-Model Quantum Neural Networks and Courville, A
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Training Optimization for Gate-Model Quantum Neural Networks and Wineland, D
Reference 10
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Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work
Reference 11
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Observation cd8d8edf-0d67-4090-aa64-d28222c6f68e · outbound
Training Optimization for Gate-Model Quantum Neural Networks Classification with Quantum Neural Networks on Near Term Processors
Reference 12
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Observation e81abbb4-aa96-4c40-9a92-528fd85f9863 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum Algorithms for Fixed Qubit Architectures
Reference 13
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Observation 6b536998-9291-4a5c-93cd-bb3e5fe248c6 · outbound
Training Optimization for Gate-Model Quantum Neural Networks A Quantum Approximate Optimization Algorithm
Reference 14
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Training Optimization for Gate-Model Quantum Neural Networks Quantum Supremacy through the Quantum Approximate Optimization Algorithm
Reference 15
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Observation 484ef878-7d27-4017-a07f-8911620901df · outbound
Training Optimization for Gate-Model Quantum Neural Networks A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem
Reference 16
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Observation 74de7269-f4b5-470d-a98c-aef29ea20325 · outbound
Training Optimization for Gate-Model Quantum Neural Networks A Quantum Version of Sch\"oning's Algorithm Applied to Quantum 2-SAT
Reference 17
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Observation 9ade2050-2d76-4ba4-a487-b4ae558d9c41 · outbound
Training Optimization for Gate-Model Quantum Neural Networks A probabilistic algorithm for k-SAT and constraint satisfaction problems
Reference 18
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Observation 24d5e98b-7690-4229-8f6f-6a5bb96fb608 · outbound
Training Optimization for Gate-Model Quantum Neural Networks A new way of thinking: The IBM quantum experience
Reference 19
Source-reported events for the cited work
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Observation d621f919-380d-4216-b1cc-b07977f417b8 · outbound
Training Optimization for Gate-Model Quantum Neural Networks For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances
Reference 20
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Observation 3e09666b-0644-4127-b3d9-08e9a10ed9b8 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem
Reference 21
Source-reported events for the cited work
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Observation 998cf0d8-0c17-40ff-9e92-66e6f6947d92 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Imre, S
Reference 22
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Observation 875661dd-5d3e-455b-90c6-87a8c1135b75 · outbound
Training Optimization for Gate-Model Quantum Neural Networks The universe as quantum computer
Reference 23
Source-reported events for the cited work
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Observation 4e0867a8-e0eb-4f6d-9475-e6993cb65966 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum algorithms for supervised and unsupervised machine learning
Reference 24
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Observation b5e55ba0-2815-432b-bd0c-06630163afa5 · outbound
Training Optimization for Gate-Model Quantum Neural Networks H., Wong, F
Reference 25
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Training Optimization for Gate-Model Quantum Neural Networks and Rebentrost, P
Reference 26
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Training Optimization for Gate-Model Quantum Neural Networks and Lloyd, S
Reference 27
Source-reported events for the cited work
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Observation 81103910-82b0-474c-9584-ac4d3e92e60b · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum algorithms for topological and geometric analysis of big data
Reference 28
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Observation d9be1a1a-b2ea-4558-9d2a-76b86b506551 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Nguyen, H
Reference 29
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Observation a36bc167-4d0a-4651-b2c6-04617f283326 · outbound
Training Optimization for Gate-Model Quantum Neural Networks An introduction to quantum machine learning
Reference 30
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Observation 697ee9cf-f5c5-432d-bc8f-2c8d56dde9c0 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum Networking , John Wiley and Sons Ltd, ISBN 1118648927, 9781118648926 (2014)
Reference 31
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Observation f88c3813-3bc4-4fbb-9001-146a24387a59 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Gyongyosi, L
Reference 32
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Observation 0d2b13a7-a8c4-4c41-a8aa-b22bae58aa9f · outbound
Training Optimization for Gate-Model Quantum Neural Networks Machine Learning: A Constraint-Based Approach, ISBN: 978-0-08-100659-7, Elsevier (2018)
Reference 33
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Observation a321f670-1f93-45f9-aeff-619f970933ff · outbound
Training Optimization for Gate-Model Quantum Neural Networks Recent Advances in Recurrent Neural Networks
Reference 34
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Observation 270741de-e7de-4a36-95fe-c17d01285558 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Unitary Evolution Recurrent Neural Networks
Reference 35
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Observation cf3899b7-83ca-4218-8746-aa4b19f3c914 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Kchler, A
Reference 36
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Training Optimization for Gate-Model Quantum Neural Networks and Konig, B
Reference 37
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Observation 13b6bb5e-6e60-4df3-bb15-fb6572faf5c4 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Learning Unitary Operators with Help From u(n)
Reference 38
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Observation 0c0dd57e-7041-4f62-b9df-f6cd52ed2ace · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum Deep Learning
Reference 39
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Observation 997c7b77-3220-4b54-9228-bd600bd7fa62 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum generalisation of feedforward neural networks
Reference 40
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Observation c09a79bc-1443-4290-a0b5-c1be72433fa5 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum Neuron: an elementary building block for machine learning on quantum computers
Reference 41
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Observation ebcb0cc3-6719-4aa7-b3f9-6b530b658764 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Exponential improvements for quantum-accessible reinforcement learning
Reference 42
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Observation 529739b2-f041-465d-8d95-7cb3063d9919 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz
Reference 43
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Observation ed07f7e7-a831-45db-a792-5f9a3e17edea · outbound
Training Optimization for Gate-Model Quantum Neural Networks Demonstration of quantum advantage in machine learning
Reference 44
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Observation f8b8f716-a1f7-4f6b-b376-8deda38ea421 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work
Reference 45
Source-reported events for the cited work
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Observation 48e495ea-ab34-415b-abc6-8889aea70c92 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum generative adversarial learning
Reference 46
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Observation 6f095dee-9fdd-4f61-9a81-3320f2a931ed · outbound
Training Optimization for Gate-Model Quantum Neural Networks Artificial Quantum Neural Network: quantum neurons, logical elements and tests of convolutional nets
Reference 47
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Observation 09de3073-31fb-4a3f-a792-20dd3bf6f2d1 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Unitary quantum perceptron as efficient universal approximator
Reference 48
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Observation 74b187c2-b8d3-4c7d-91c6-d0a990266fb8 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Calculus of variations
Reference 49
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Observation 56271246-2766-457c-97dd-a98d6b396603 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Davies, J
Reference 50
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Observation e8928f40-1945-4914-a137-5f8cf686b36c · outbound
Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work
Reference 51
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Observation f0295b79-8f8b-4d39-905c-85757072c3a8 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum Information Theory and Quantum Statistics , Springer-Verlag, Heidelberg, Hiv: 6
Reference 52
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4437f6b4-ac0f-4636-9337-e1ade90f0167 · outbound
Training Optimization for Gate-Model Quantum Neural Networks On the Way to Quantum-Based Satellite Communication, IEEE Comm
Reference 53
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Observation 8be9aaf6-4e74-4bf4-a462-969f5903cd78 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Imre, S
Reference 54
Source-reported events for the cited work
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Observation 6f612ec9-f4a1-4951-96f9-5e1d84dc6ecf · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Imre, S
Reference 55
Source-reported events for the cited work
correction dated 2021-01-06. Source: crossref record 10.1038/s41598-020-75950-5->10.1038/s41598-018-28801-3:correction, observed 2026-07-11T03:01:09.844649+00:00. This notice travels one citation hop only.
Observation 69f1f3b2-694f-4df9-8d21-810b73373f91 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Imre, S
Reference 56
Source-reported events for the cited work
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Observation 1761e7d6-07d3-4e76-9ee3-c612d1b9b491 · outbound
Training Optimization for Gate-Model Quantum Neural Networks and Imre, S
Reference 57
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Training Optimization for Gate-Model Quantum Neural Networks and Banchi, L
Reference 58
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Training Optimization for Gate-Model Quantum Neural Networks L., Laurenza, R., Ottaviani, C., Cope, T
Reference 59
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Training Optimization for Gate-Model Quantum Neural Networks and Pirandola, S
Reference 60
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Training Optimization for Gate-Model Quantum Neural Networks and Imre, S
Reference 61
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Observation b6bd94c1-5b16-4f5c-889e-225823afd778 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Capacities of repeater-assisted quantum communications
Reference 62
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Observation fa86d7f0-aad1-4482-8dc7-73e1681dfb7d · outbound
Training Optimization for Gate-Model Quantum Neural Networks End-to-end capacities of a quantum communication network, Commun
Reference 63
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Observation a122fdf1-23e9-4b4e-bb63-4dc495b542f0 · outbound
Training Optimization for Gate-Model Quantum Neural Networks Quantum Internet: Networking Challenges in Distributed Quantum Computing
Reference 64
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Training Optimization for Gate-Model Quantum Neural Networks OCLC 717598615
Reference 190
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No inbound Pith citation observations are available.