Pith. sign in

Paper Citation Record · LEDGER

Training Optimization for Gate-Model Quantum Neural Networks

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.

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 2026-08-14T06:32:32.682623+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.262913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.563345Z digest=sha256:edcd9046cf5805a66573f5973acb1ea7a0b4328d904c400168c0e71ba034a0af

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

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:32:39.255979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.566405Z digest=sha256:253e0195de887a702db23ca23ecec3397961814e839aa7f08b80f0830d5130df

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.249036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.569336Z digest=sha256:18cc1e6dfbe27c967b958390e979b8a724277b48c4f5071c7e6c7ddf8173a9f2

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

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:32:39.241701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.571994Z digest=sha256:a2d75f1abdcadfe5ada28a3ed441648d18745a7400cf804d89e82f1868b99e2b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.234177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.574754Z digest=sha256:6dc67d88be510452af13f8eb782e281866cc0cbbcfd66c651176a8490412701c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.226541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.577384Z digest=sha256:d7c2d2bb66d0cabb7f79c1e963c2da98ff07b8eeb15e8c55b02921989e258e1a

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

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:32:39.218847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.580118Z digest=sha256:b26e531dfda0777810989ee1eb1dc6e483610488a324408ac2c282f78a4a92e7

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

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:32:39.211032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.582507Z digest=sha256:a9548fa8cea4b5e6d3fdfc891f66e2230b3fe9fa5be8b455f916d536ddd8aac5

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

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:32:39.203032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.584985Z digest=sha256:3449545a5b042b334380863d4e9d503024fce8d7e84cbdda858b9fbd499fa8dc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.194483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.587419Z digest=sha256:bb55fdd52d244080a7340b513042350c8f56f3e7ed787a6a680d3fa0426eec5c

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

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:32:39.186369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.589951Z digest=sha256:b85065eb18eed35d537e7349e8a76da6a4e39ec3f7a9dfe85c289dfcfc0b61f0

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.592381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.592381Z digest=sha256:e2d87e63d9053d1fb1011e8d0b2ef3baf7a005badaa7e311ff531c677a3660a5

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.595101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.595101Z digest=sha256:1bb555a2ae1df90ff6e2c2074b810df6c7453f01136f0d931c3e396c1c9c05ac

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.597987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.597987Z digest=sha256:648a77ebe4f845662d6b3177385022c9d924263d90e34c33627b9b56c4a889a7

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.600741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.600741Z digest=sha256:96119fc30a9f850bb9a3ae1a4ed036dce2b97d84b36b0e35ee61d5bfea0a732a

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.603793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.603793Z digest=sha256:f9cbee4b0b8cb8e46163234d42df65302e9a1e5bb136976cda31d1191600f8bf

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.606456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.606456Z digest=sha256:e5933ccdf1887691d1173cb57bace81844d88f8397c5eeddf59f6c8084172390

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.179617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.609219Z digest=sha256:42dab67a5f331dd4f8aed4124a0e39a79a675813a6e8ae6efe46d2d76b33558e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.172650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.611643Z digest=sha256:3bb6b8ce7e0a24f5bb25b7b2035264765c6a00f3586e439a6816d62d0c65497f

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.614051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.614051Z digest=sha256:159dcf5d25962fd4e3d6e2998e5f4aa253915688921d853b62bf59f47176c429

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.616678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.616678Z digest=sha256:7d4f492f5ee3abbde47d0d2a0a0be0f15c5d50a8c06d953d321fd2c631ef503e

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

Resolution
verified exact
doi, observed 2026-08-14T05:32:38.788230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.619227Z digest=sha256:cf3d9c31bdfc8edd77c5a81336eedefdf69404346cfaf147664ccf1b5204f4cf

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.621638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.621638Z digest=sha256:d78a859ff437b05b91d1f78f05bf3ed3b1def226830f226c1f7bd779c2f63273

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.624074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.624074Z digest=sha256:d9a68f4589b2e351a4e73ab59f63032481aa87d3124ab11f08a93ceda346d492

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.165959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.626878Z digest=sha256:1a121fdc8481a5e99e19ab3ed7e4bbe5752067a7c5d7ed012cc0194ba4ba25b6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.158962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.629338Z digest=sha256:d09b3b24f699ca2ee2cb126dcfacd2bb9a1f2abbbba9ae656bea653141850228

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.152099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.631863Z digest=sha256:e94ffaa6bb49f677fcbfa79144d7c764079589cc3b7f3eb623fcb0339a9c8188

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.634745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.634745Z digest=sha256:44eab679d161699a6d672d24491e111e52b14a5fe0f1b4992bac2c1b41c892eb

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

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T05:32:38.964961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.637852Z digest=sha256:118d934cf00c5c95d6cfc40ccaece0531a45d940a785fb29e345cb596844df02

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.640317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.640317Z digest=sha256:8615a80e8427d32c970345d442ee0ecdfad18552c1009ce9d9c3a90e79d3cd77

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.145344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.643096Z digest=sha256:8cc26e750d1b31075933d896b8770e0983017f255fd8bbd99fd0920df4e489c0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.138056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.645537Z digest=sha256:9308e2cfc69f63b7b5a4ad1b2d8be0f4b4c3dc32f245956a8644f5d7f1dc3d6d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.131080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.648221Z digest=sha256:5f030dbbfab560d1cb58d9eeb0aeb14107120e0b9f21cd11cd67343f38345095

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.650802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.650802Z digest=sha256:366ef983d49d33d95f9faf979b5c00b92774e6ce5e0731d0160335310c53f7fa

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.653600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.653600Z digest=sha256:765c97d5f4cd4dc4113baa16f74fdc63212d635878ae3c3f78557fdb5cf544df

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.124075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.656111Z digest=sha256:64b53344a727820802e75b6cbaf8b960c064a4b906a5ca369fd88c2aaa80e466

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.116859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.658525Z digest=sha256:3a0d9bf343c10f8b1d3af672829cf04edace28b8c19b8720c8cbda7458847668

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

Resolution
verified exact
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.660953Z digest=sha256:c2ba2a47a56c20bb63b0f78def7ca30eadd13865fb70be478e079d3cc5d4230d

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.663474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.663474Z digest=sha256:91e28d24aaf66e692f0b914999aba1ec41c50e2e42bf25cfb5cb68c8620e26a2

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.666116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.666116Z digest=sha256:6a2bd6b6bd8824cae6a882a6aedbc0758b3f4aed9138e5fa1602a6c8e9f332dc

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.668734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.668734Z digest=sha256:0f0256894c4c2049c98d4d4cb06c43ca7f7d3e140e6b0be4d9b6054bfabdde3a

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.671192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.671192Z digest=sha256:6f7e0dd195359bdddc919c726eca8916c573eae9463fb9a4a63cabed0db03e89

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.673834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.673834Z digest=sha256:07b370944a6c9ecdbfd6f9bde0b6248f866a45a6abe2c5b59e07779abcc9be09

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.676515Z digest=sha256:5f41b1d09ec0581425f50babd09a28397659e4a7afed6d2d5a0747fcd448e819

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.679172Z digest=sha256:d62e0c4ce152870a171ec0432e126ab9c21c98a48ae8ad0fc8eba9b0e1dda263

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.681466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.681466Z digest=sha256:22e6e57cb22c17249886ee1f692f25cf53213f5a93c4a2068ac9346f45ca9a15

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

Resolution
verified exact
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.684034Z digest=sha256:aa748bb030958b9063a3113ff198c34360132fe31c0830025478a163020ab21c

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.686876Z digest=sha256:07e4652ea17bffbb2e50250dd4ed756b25cc734476c268c6f575cba0d409c85c

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.689549Z digest=sha256:9bd7b18de945eecd45da33b89a8236565ef7d5378803df9b48bca32d75e33fb5

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.692543Z digest=sha256:91e61a26fa7ed7aba982e7d8a503b0b8edea95258d05427e115376bfc2b2986f

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

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:32:39.081456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.697693Z digest=sha256:fffb68343b70e3ea27c98ea4b57089aa8bef43a0e1336765c41d34572ffca2d3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.073877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.700039Z digest=sha256:8604c0437b4dfa9f6f02e9214a9e400f291bb76946ecbf1c6dfc831037f15151

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.066569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.702419Z digest=sha256:eb96b476de6877da50d004352df789cc11bbfd30e5cba98173711ff10fe5e390

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.704838Z digest=sha256:68880f536e95fcc16b2cd374d2e47321dcfbe998a643f35117f333b4cca6a73f

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

Resolution
verified exact
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=sha256:604591fb3f4cc21c62b5dc7357367d0bb57484191f838d6cd3e58013ee6f53a2

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.710137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.710137Z digest=sha256:0aaf41b871b3098e84db09a4d42287524ab750b635796e67398fdd9c68b821be

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.712805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.712805Z digest=sha256:84745c5ed6b7a178f15795c5bb4943f0f0e1b82745b8077a78de3782dc0d6f0f

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.715540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.715540Z digest=sha256:a9f0f25a7c72f52dba1a633b84b5ea13725ed7a4708f62c69c94a527a70ef413

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.717979Z digest=sha256:1558eec968b5f4d51cb54c5445cd92d66ab717026740ce9bf87b099752898f3a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.051839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.720445Z digest=sha256:b7361050858833aefdffb856be00d50527514962f598565c107edb6a9ce0538a

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.722898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.722898Z digest=sha256:fac07195c8b2f7d5f93da4c773a0bf8ed171500f07d084cd2ed59413bbf467c1

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.725535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.725535Z digest=sha256:2ffaa9c7e88376b6a00c82a2c864e1840c4e7c9f089586ca6ca5ce40288e0de6

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.728255Z digest=sha256:09ae458b34403c15142e5da3fafa89e29a922434f556cd094f101bdfe306a62c

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:32:38.730734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:32:38.730734Z digest=sha256:eca88dc1c1e09887fe8fef04ae6f04643aaa6025c78204f1b4f8205c719863d5

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

This paper cites OCLC 717598615.

Training Optimization for Gate-Model Quantum Neural Networks OCLC 717598615

Reference 190

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:32:39.088614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-14T05:32:38.695179Z digest=sha256:edd58658b3e5c54e7762ab84e95c46b8643f55230be7d17341b448c2374de316

Pith citing papers

No inbound Pith citation observations are available.