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Paper Citation Record · LEDGER

Training Optimization for Gate-Model Quantum Neural Networks

As of 15 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.

pith.paper-citation-record.v1
1909.01048 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:32:38.730734Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact6
  • verified fuzzy23
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f314687-1cc3-4483-bb34-5808f06e1900 · outbound

This paper cites Quantum Computing in the NISQ era and beyond, Quantum 2, 79 (2018).

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1bae9365-b2c2-459d-b0e4-91f5d0c0ccff · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 2

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Observation 8eb789a5-c22d-4ac4-a92a-6cb8c0f63164 · outbound

This paper cites and Chen, L.

Training Optimization for Gate-Model Quantum Neural Networks and Chen, L

Reference 3

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Observation bd84647e-100d-4b57-9733-35fda67d7f63 · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 4

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Observation ed169077-0ee7-467c-aaad-c4db4dfb3c86 · outbound

This paper cites and Hinton, G.

Training Optimization for Gate-Model Quantum Neural Networks and Hinton, G

Reference 5

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c8376ef3-a49a-4cb9-a335-a78e3e472933 · outbound

This paper cites and Courville, A.

Training Optimization for Gate-Model Quantum Neural Networks and Courville, A

Reference 6

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Observation 81a0ead3-97af-4dae-b811-701b0d8d010e · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 7

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Observation ff7f0c64-dd58-4b36-b8fe-14c6ef15203e · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 8

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Observation 4de4ddee-1a64-4217-b061-e5c6b18147ef · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 9

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Observation 6d97f87b-85d3-407a-90e4-21a8b1ecbd76 · outbound

This paper cites and Wineland, D.

Training Optimization for Gate-Model Quantum Neural Networks and Wineland, D

Reference 10

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.587419Z digest=sha256:a68e665e513d4f504daa654a952c1fe933d00a979f881bbbec28f3ef96d62c50

Observation a94e89b0-444d-43ea-b571-5003574bc6e0 · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 11

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Observation cd8d8edf-0d67-4090-aa64-d28222c6f68e · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

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

This paper cites Quantum Algorithms for Fixed Qubit Architectures.

Training Optimization for Gate-Model Quantum Neural Networks Quantum Algorithms for Fixed Qubit Architectures

Reference 13

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source=pdf_text observed=2026-08-14T05:32:38.595101Z digest=sha256:9b175d8ea48425d3b2352bf31c90a0549ac9c22709f4f052b2cd6477e4cc5576

Observation 6b536998-9291-4a5c-93cd-bb3e5fe248c6 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Training Optimization for Gate-Model Quantum Neural Networks A Quantum Approximate Optimization Algorithm

Reference 14

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source=pdf_text observed=2026-08-14T05:32:38.597987Z digest=sha256:215b88e3581975a9f7bcf4c1c6a84dd03cb785fe0e236ae8685aa261d680e5f1

Observation 4388c471-39a4-490c-9994-02d73e92b08d · outbound

This paper cites Quantum Supremacy through the Quantum Approximate Optimization Algorithm.

Training Optimization for Gate-Model Quantum Neural Networks Quantum Supremacy through the Quantum Approximate Optimization Algorithm

Reference 15

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source=pdf_text observed=2026-08-14T05:32:38.600741Z digest=sha256:6c388a8859ea17db849ba96c5ff374f7c62e25f181d271c236015fc170bcfac4

Observation 484ef878-7d27-4017-a07f-8911620901df · outbound

This paper cites A Quantum Approximate Optimization Algorithm Applied to a Bounded Occurrence Constraint Problem.

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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source=pdf_text observed=2026-08-14T05:32:38.603793Z digest=sha256:dd724448d72dd8403ca391381868b2c35bea5ee4400d046cac5ff187f7999495

Observation 74de7269-f4b5-470d-a98c-aef29ea20325 · outbound

This paper cites A Quantum Version of Sch\"oning's Algorithm Applied to Quantum 2-SAT.

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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source=pdf_text observed=2026-08-14T05:32:38.606456Z digest=sha256:7cdd124ad2d0f4489cbcf2df6f93fbc17b70f75e64609c1b2dd8e963c5d8d43d

Observation 9ade2050-2d76-4ba4-a487-b4ae558d9c41 · outbound

This paper cites A probabilistic algorithm for k-SAT and constraint satisfaction problems.

Training Optimization for Gate-Model Quantum Neural Networks A probabilistic algorithm for k-SAT and constraint satisfaction problems

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 24d5e98b-7690-4229-8f6f-6a5bb96fb608 · outbound

This paper cites A new way of thinking: The IBM quantum experience.

Training Optimization for Gate-Model Quantum Neural Networks A new way of thinking: The IBM quantum experience

Reference 19

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d621f919-380d-4216-b1cc-b07977f417b8 · outbound

This paper cites For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances.

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

This paper cites Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem.

Training Optimization for Gate-Model Quantum Neural Networks Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem

Reference 21

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source=pdf_text observed=2026-08-14T05:32:38.616678Z digest=sha256:a41989c551b443923d592c784b473457bdc157d57fc5963fc044300f7f4cfb0c

Observation 998cf0d8-0c17-40ff-9e92-66e6f6947d92 · outbound

This paper cites and Imre, S.

Training Optimization for Gate-Model Quantum Neural Networks and Imre, S

Reference 22

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 875661dd-5d3e-455b-90c6-87a8c1135b75 · outbound

This paper cites The universe as quantum computer.

Training Optimization for Gate-Model Quantum Neural Networks The universe as quantum computer

Reference 23

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source=pdf_text observed=2026-08-14T05:32:38.621638Z digest=sha256:970d2b861920da313bfef3cddd6101f4e9978042119572f7acb3f94ad40b86eb

Observation 4e0867a8-e0eb-4f6d-9475-e6993cb65966 · outbound

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

Training Optimization for Gate-Model Quantum Neural Networks Quantum algorithms for supervised and unsupervised machine learning

Reference 24

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source=pdf_text observed=2026-08-14T05:32:38.624074Z digest=sha256:9882bb16836c89bad17add2b9a00245d03c146c2b9b4d2811a8612601055d7e8

Observation b5e55ba0-2815-432b-bd0c-06630163afa5 · outbound

This paper cites H., Wong, F.

Training Optimization for Gate-Model Quantum Neural Networks H., Wong, F

Reference 25

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Observation ccd84772-3367-44e7-a46f-ed66fc01a3af · outbound

This paper cites and Rebentrost, P.

Training Optimization for Gate-Model Quantum Neural Networks and Rebentrost, P

Reference 26

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Observation c1e3ae89-88bc-4750-88d1-9e852931e7be · outbound

This paper cites and Lloyd, S.

Training Optimization for Gate-Model Quantum Neural Networks and Lloyd, S

Reference 27

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Observation 81103910-82b0-474c-9584-ac4d3e92e60b · outbound

This paper cites Quantum algorithms for topological and geometric analysis of big data.

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

This paper cites and Nguyen, H.

Training Optimization for Gate-Model Quantum Neural Networks and Nguyen, H

Reference 29

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Observation a36bc167-4d0a-4651-b2c6-04617f283326 · outbound

This paper cites An introduction to quantum machine learning.

Training Optimization for Gate-Model Quantum Neural Networks An introduction to quantum machine learning

Reference 30

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source=pdf_text observed=2026-08-14T05:32:38.640317Z digest=sha256:74fdb8ac3a0bfb4c6071ede88b9d3b2e083e9b49fc4fee68c049fefc5f290b9b

Observation 697ee9cf-f5c5-432d-bc8f-2c8d56dde9c0 · outbound

This paper cites Quantum Networking , John Wiley and Sons Ltd, ISBN 1118648927, 9781118648926 (2014).

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

This paper cites and Gyongyosi, L.

Training Optimization for Gate-Model Quantum Neural Networks and Gyongyosi, L

Reference 32

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source=pdf_text observed=2026-08-14T05:32:38.645537Z digest=sha256:6e1facd5278ca1ee9c070bdbd798c5698107cfbb49a4803c676a8e5b457085ee

Observation 0d2b13a7-a8c4-4c41-a8aa-b22bae58aa9f · outbound

This paper cites Machine Learning: A Constraint-Based Approach, ISBN: 978-0-08-100659-7, Elsevier (2018).

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a321f670-1f93-45f9-aeff-619f970933ff · outbound

This paper cites Recent Advances in Recurrent Neural Networks.

Training Optimization for Gate-Model Quantum Neural Networks Recent Advances in Recurrent Neural Networks

Reference 34

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source=pdf_text observed=2026-08-14T05:32:38.650802Z digest=sha256:10c0900b4db449737fee40cae936ac94bb229203d1430ae0da5f77b3cda79e3c

Observation 270741de-e7de-4a36-95fe-c17d01285558 · outbound

This paper cites Unitary Evolution Recurrent Neural Networks.

Training Optimization for Gate-Model Quantum Neural Networks Unitary Evolution Recurrent Neural Networks

Reference 35

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source=pdf_text observed=2026-08-14T05:32:38.653600Z digest=sha256:0dc0186b4d360f8c42a18a07d582ba83ff3d4bd7e31cb5c765d9b43566efea86

Observation cf3899b7-83ca-4218-8746-aa4b19f3c914 · outbound

This paper cites and Kchler, A.

Training Optimization for Gate-Model Quantum Neural Networks and Kchler, A

Reference 36

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Observation a5a03fbc-f782-49ee-81f5-03ad84712603 · outbound

This paper cites and Konig, B.

Training Optimization for Gate-Model Quantum Neural Networks and Konig, B

Reference 37

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.658525Z digest=sha256:5a928a571d5a96a8cad42702f26a2ad3d0fb1f2d01c192437ee66f9b28b45172

Observation 13b6bb5e-6e60-4df3-bb15-fb6572faf5c4 · outbound

This paper cites Learning Unitary Operators with Help From u(n).

Training Optimization for Gate-Model Quantum Neural Networks Learning Unitary Operators with Help From u(n)

Reference 38

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local_arxiv, observed 2026-08-14T05:32:38.893763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.660953Z digest=sha256:cc01538b135cb40242b49391a131c955279ce9c32b0780cec0f7feb81ae03381

Observation 0c0dd57e-7041-4f62-b9df-f6cd52ed2ace · outbound

This paper cites Quantum Deep Learning.

Training Optimization for Gate-Model Quantum Neural Networks Quantum Deep Learning

Reference 39

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source=pdf_text observed=2026-08-14T05:32:38.663474Z digest=sha256:07f7f75fbf9ce5fbd73dd307cd44186e1cef00fcbb27e413c0935707fe2f9771

Observation 997c7b77-3220-4b54-9228-bd600bd7fa62 · outbound

This paper cites Quantum generalisation of feedforward neural networks.

Training Optimization for Gate-Model Quantum Neural Networks Quantum generalisation of feedforward neural networks

Reference 40

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source=pdf_text observed=2026-08-14T05:32:38.666116Z digest=sha256:c7965eeb1c8e85ee3914c31fbeb019474c34f99247ec9ae762065f78a85331d2

Observation c09a79bc-1443-4290-a0b5-c1be72433fa5 · outbound

This paper cites Quantum Neuron: an elementary building block for machine learning on quantum computers.

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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source=pdf_text observed=2026-08-14T05:32:38.668734Z digest=sha256:14910fe3afd006b38996d445b8effbcaa029a249b269e41047b6430adf446ea5

Observation ebcb0cc3-6719-4aa7-b3f9-6b530b658764 · outbound

This paper cites Exponential improvements for quantum-accessible reinforcement learning.

Training Optimization for Gate-Model Quantum Neural Networks Exponential improvements for quantum-accessible reinforcement learning

Reference 42

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source=pdf_text observed=2026-08-14T05:32:38.671192Z digest=sha256:eda0a3d44f7027e1f54dabacd4c35182a72b7c4bdf83de7aa87558441b63f80d

Observation 529739b2-f041-465d-8d95-7cb3063d9919 · outbound

This paper cites Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz.

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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source=pdf_text observed=2026-08-14T05:32:38.673834Z digest=sha256:e21a0e2d253101dbea077fc26d6124f46c5fea9c57278c183d2daaa1d5ae2f16

Observation ed07f7e7-a831-45db-a792-5f9a3e17edea · outbound

This paper cites Demonstration of quantum advantage in machine learning.

Training Optimization for Gate-Model Quantum Neural Networks Demonstration of quantum advantage in machine learning

Reference 44

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local_arxiv, observed 2026-08-14T05:32:38.846089Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.676515Z digest=sha256:a0974467f7d85fb165f365612c7db4076bc791512e9e001a97fb6e240b1876f1

Observation f8b8f716-a1f7-4f6b-b376-8deda38ea421 · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 45

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raw_fallback, observed 2026-08-14T05:32:39.109725Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.679172Z digest=sha256:628cb8e75bbf41c1be48392ffc4a88a2d47ce47250999d7a5df991bc9b20ba95

Observation 48e495ea-ab34-415b-abc6-8889aea70c92 · outbound

This paper cites Quantum generative adversarial learning.

Training Optimization for Gate-Model Quantum Neural Networks Quantum generative adversarial learning

Reference 46

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source=pdf_text observed=2026-08-14T05:32:38.681466Z digest=sha256:adb72a47c6e9e5c0f6bb7de6923cc927d3ccd7da87fe17ee5918fa80c2481fa4

Observation 6f095dee-9fdd-4f61-9a81-3320f2a931ed · outbound

This paper cites Artificial Quantum Neural Network: quantum neurons, logical elements and tests of convolutional nets.

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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local_arxiv, observed 2026-08-14T05:32:38.826282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.684034Z digest=sha256:f5180360e3a074169983c276714c71bc9d37f2d99cfa93b92d2532c8830362ed

Observation 09de3073-31fb-4a3f-a792-20dd3bf6f2d1 · outbound

This paper cites Unitary quantum perceptron as efficient universal approximator.

Training Optimization for Gate-Model Quantum Neural Networks Unitary quantum perceptron as efficient universal approximator

Reference 48

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local_arxiv, observed 2026-08-14T05:32:38.814908Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.686876Z digest=sha256:b60f5aa9ad68808b76e475f3f25a2918cb155d1e6d55c96fbbf8092d7816e16c

Observation 74b187c2-b8d3-4c7d-91c6-d0a990266fb8 · outbound

This paper cites Calculus of variations.

Training Optimization for Gate-Model Quantum Neural Networks Calculus of variations

Reference 49

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raw_fallback, observed 2026-08-14T05:32:39.102682Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.689549Z digest=sha256:3af3ac2ceed475582770676467d7175564839d8a02b77826ef9d946be023043e

Observation 56271246-2766-457c-97dd-a98d6b396603 · outbound

This paper cites and Davies, J.

Training Optimization for Gate-Model Quantum Neural Networks and Davies, J

Reference 50

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raw_fallback, observed 2026-08-14T05:32:39.095546Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.692543Z digest=sha256:ce899a8ef48cb7f2da1f93ebd26a2a775ef484b1e5c3c0430f1e96cbbb7cdad8

Observation e8928f40-1945-4914-a137-5f8cf686b36c · outbound

This paper cites an unresolved cited work.

Training Optimization for Gate-Model Quantum Neural Networks Unresolved cited work

Reference 51

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.697693Z digest=sha256:35e0cd9566ac60991aa4266b4f43bc61eb7017220ff96c4dae3e154c77859aff

Observation f0295b79-8f8b-4d39-905c-85757072c3a8 · outbound

This paper cites Quantum Information Theory and Quantum Statistics , Springer-Verlag, Heidelberg, Hiv: 6.

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.700039Z digest=sha256:0a4afc0eba9c65bd0f20b177b16b34e39c5a5fd14b179b78df4bddf797e53ca0

Observation 4437f6b4-ac0f-4636-9337-e1ade90f0167 · outbound

This paper cites On the Way to Quantum-Based Satellite Communication, IEEE Comm.

Training Optimization for Gate-Model Quantum Neural Networks On the Way to Quantum-Based Satellite Communication, IEEE Comm

Reference 53

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.702419Z digest=sha256:291efca9d34df848a51c2bcd6fd81486e81c850788e7a953f647d0f147db8696

Observation 8be9aaf6-4e74-4bf4-a462-969f5903cd78 · outbound

This paper cites and Imre, S.

Training Optimization for Gate-Model Quantum Neural Networks and Imre, S

Reference 54

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doi, observed 2026-08-14T05:32:38.780264Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.704838Z digest=sha256:80a95dfa81e31472fcf3918c5afe562f3ee44c7923f4af79bfc5f8a47712bebf

Observation 6f612ec9-f4a1-4951-96f9-5e1d84dc6ecf · outbound

This paper cites and Imre, S.

Training Optimization for Gate-Model Quantum Neural Networks and Imre, S

Reference 55

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doi, observed 2026-08-14T05:32:38.771684Z

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.

source=pdf_text observed=2026-08-14T05:32:38.707553Z digest=sha256:4efce84d2fbe3461b530212387d726eed8515d54458a3d301fa00af45fbc0d38

Observation 69f1f3b2-694f-4df9-8d21-810b73373f91 · outbound

This paper cites and Imre, S.

Training Optimization for Gate-Model Quantum Neural Networks and Imre, S

Reference 56

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source=pdf_text observed=2026-08-14T05:32:38.710137Z digest=sha256:aca184c05b6d1dbf8a32f96831e9deb0386205e6096ddbd9a867475980f2b5e0

Observation 1761e7d6-07d3-4e76-9ee3-c612d1b9b491 · outbound

This paper cites and Imre, S.

Training Optimization for Gate-Model Quantum Neural Networks and Imre, S

Reference 57

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source=pdf_text observed=2026-08-14T05:32:38.712805Z digest=sha256:38ce9afa3de08884da3b54b9b11e9fb92bc7e77c6a899482c6adc80f7c68a3f1

Observation ce55bace-a708-4eb6-bae4-90637fef1830 · outbound

This paper cites and Banchi, L.

Training Optimization for Gate-Model Quantum Neural Networks and Banchi, L

Reference 58

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source=pdf_text observed=2026-08-14T05:32:38.715540Z digest=sha256:ce52991761dd03329b31bab592cdbae456e437bd3af1afa93a0b92435d7bcf99

Observation cc677191-e695-461c-ae2a-7dccf954616e · outbound

This paper cites L., Laurenza, R., Ottaviani, C., Cope, T.

Training Optimization for Gate-Model Quantum Neural Networks L., Laurenza, R., Ottaviani, C., Cope, T

Reference 59

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raw_fallback, observed 2026-08-14T05:32:39.059044Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.717979Z digest=sha256:e5294424597bb9634300bd6870a54153df2f6989ccc8ccb932e04c73e8881bbb

Observation 3cec9c9a-292d-45b3-9113-7a2017d11513 · outbound

This paper cites and Pirandola, S.

Training Optimization for Gate-Model Quantum Neural Networks and Pirandola, S

Reference 60

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.720445Z digest=sha256:e40104db598d850502895b633d92443ee89acff0f95173e959f236b364f2ceaf

Observation 165dcc4e-b810-49b6-93a7-1ac83b510de8 · outbound

This paper cites and Imre, S.

Training Optimization for Gate-Model Quantum Neural Networks and Imre, S

Reference 61

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.722898Z digest=sha256:a141b120e0e25447ec01e479179adb4d60e9050aee0bbe679c5d8f46455a019e

Observation b6bd94c1-5b16-4f5c-889e-225823afd778 · outbound

This paper cites Capacities of repeater-assisted quantum communications.

Training Optimization for Gate-Model Quantum Neural Networks Capacities of repeater-assisted quantum communications

Reference 62

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source=pdf_text observed=2026-08-14T05:32:38.725535Z digest=sha256:cb649ac18596e6dbcafd3e22d9cdf23f8bb307f15762261eef1bfa47a4a0d957

Observation fa86d7f0-aad1-4482-8dc7-73e1681dfb7d · outbound

This paper cites End-to-end capacities of a quantum communication network, Commun.

Training Optimization for Gate-Model Quantum Neural Networks End-to-end capacities of a quantum communication network, Commun

Reference 63

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raw_fallback, observed 2026-08-14T05:32:39.044841Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.728255Z digest=sha256:e94ff2958519c9d05495edb2fbe260663702996e4d77e7e83f7b3b9b5ddee327

Observation a122fdf1-23e9-4b4e-bb63-4dc495b542f0 · outbound

This paper cites Quantum Internet: Networking Challenges in Distributed Quantum Computing.

Training Optimization for Gate-Model Quantum Neural Networks Quantum Internet: Networking Challenges in Distributed Quantum Computing

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.730734Z digest=sha256:704f3c4e45aeceab139f48bd58da31c05a4ccbded22bd1e18038936bb895c119

Observation 21c812d4-c77d-44ea-88af-c46c773340b3 · outbound

This paper cites OCLC 717598615.

Training Optimization for Gate-Model Quantum Neural Networks OCLC 717598615

Reference 190

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T05:32:38.695179Z digest=sha256:43162224ec67522538c36a8c194443a609bde7468b210ba3c4555a815731d2ff

Pith citing papers

No inbound Pith citation observations are available.