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Paper Citation Record · LEDGER

Unlocking the power of global quantum gates with machine learning

As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2502.02405.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02405 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:21:14.051534Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 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

54 of 54 outbound references displayed

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  • verified fuzzy24
  • unresolved28
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External citation measurements

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Outbound references

Observation bd927673-a31d-484d-adb6-983ebd582e2e · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 1

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Observation 85713e19-c03e-4c55-b185-2e15b266e209 · outbound

This paper cites barren plateau.

Unlocking the power of global quantum gates with machine learning barren plateau

Reference 2

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Observation 81b608cb-aa8c-4e47-bad2-6268ceb12ca9 · outbound

This paper cites The choice of initialization plays a crucial role in the convergence behavior, as poor initializa- tion can lead to slow convergence or local minima.

Unlocking the power of global quantum gates with machine learning The choice of initialization plays a crucial role in the convergence behavior, as poor initializa- tion can lead to slow convergence or local minima

Reference 3

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Observation 027c48e7-b84d-4414-86f1-e320fca8759b · outbound

This paper cites These updates continue until the energy stabilizes.

Unlocking the power of global quantum gates with machine learning These updates continue until the energy stabilizes

Reference 4

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Observation 0fa9b546-9062-45b5-88d2-0e1c8b4b66fb · outbound

This paper cites This prevents unnecessary computations once the optimization has converged.

Unlocking the power of global quantum gates with machine learning This prevents unnecessary computations once the optimization has converged

Reference 5

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Observation 80f1d562-f950-4919-b7d1-5c189dc3f4cd · outbound

This paper cites For each experiment, we fix the circuit depth ( k) and run multiple optimization instances with different initial parameters.

Unlocking the power of global quantum gates with machine learning For each experiment, we fix the circuit depth ( k) and run multiple optimization instances with different initial parameters

Reference 6

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Observation b0a772d3-1473-4c06-bfc6-11ec0d55d665 · outbound

This paper cites The Solovay-Kitaev algorithm.

Unlocking the power of global quantum gates with machine learning The Solovay-Kitaev algorithm

Reference 7

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Observation 2c5f88b1-8303-4cb9-8676-4c64d2fecf31 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 8

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Observation 0d4f86e4-9210-4c70-90ec-cf52c6686e20 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 9

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Observation 2a73198c-accd-4688-80be-87b909db6d02 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 10

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Observation 042f0d4d-72e8-404d-ab38-29a053e3aa02 · outbound

This paper cites Grzesiak, R.

Unlocking the power of global quantum gates with machine learning Grzesiak, R

Reference 11

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Observation 5c975422-8d26-4fb0-8c7f-e94a247eef39 · outbound

This paper cites Baßler, M.

Unlocking the power of global quantum gates with machine learning Baßler, M

Reference 12

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Observation 99930366-3b71-4d72-9831-ecc0fc3f38db · outbound

This paper cites Van de Wetering, Constructing quantum circuits with global gates, New Journal of Physics 23, 043015 (2021).

Unlocking the power of global quantum gates with machine learning Van de Wetering, Constructing quantum circuits with global gates, New Journal of Physics 23, 043015 (2021)

Reference 13

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Observation c6f7f296-113b-4271-8a70-769390d72c04 · outbound

This paper cites Maslov and Y.

Unlocking the power of global quantum gates with machine learning Maslov and Y

Reference 14

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Observation 056662ce-959e-4d8c-ad00-b2ce6d4122d8 · outbound

This paper cites Landsman, Y.

Unlocking the power of global quantum gates with machine learning Landsman, Y

Reference 15

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Observation 8f9c535b-8361-4754-855b-7930df001ee2 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 17

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Observation d63be1ef-44bd-41f0-a4cb-44b53862b57f · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 18

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Observation 50e05d09-34a7-4c4b-b4b3-e5afd0b421ac · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 19

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Observation 78363338-46c1-42f3-b5fb-d5042102ca0d · outbound

This paper cites Cesa and H.

Unlocking the power of global quantum gates with machine learning Cesa and H

Reference 20

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Observation 42181476-6615-425d-a844-76168bee25d1 · outbound

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Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 21

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Observation 578b97d1-2f47-403b-ac94-2a5bd7183873 · outbound

This paper cites Globally driven superconducting quantum computing architecture.

Unlocking the power of global quantum gates with machine learning Globally driven superconducting quantum computing architecture

Reference 22

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Observation b1c99627-e7a8-469c-933b-773b10b1b533 · outbound

This paper cites Cioni, R.

Unlocking the power of global quantum gates with machine learning Cioni, R

Reference 23

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Observation 4bbc0519-ad08-41a0-9847-90a910c7dfd9 · outbound

This paper cites Shapira, L.

Unlocking the power of global quantum gates with machine learning Shapira, L

Reference 24

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Observation 1522b0df-4ade-4b21-94de-bc8a8c8fd751 · outbound

This paper cites Shapira, R.

Unlocking the power of global quantum gates with machine learning Shapira, R

Reference 25

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Observation 9766d3a1-e2c2-4996-ad5a-b4f062707a43 · outbound

This paper cites Shapira, J.

Unlocking the power of global quantum gates with machine learning Shapira, J

Reference 26

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Observation 69aab474-a700-47be-a0df-ea25a3c41bbc · outbound

This paper cites Schwerdt, L.

Unlocking the power of global quantum gates with machine learning Schwerdt, L

Reference 27

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Observation d707226b-37df-4945-bc28-d10b46a39ad8 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 28

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Observation b79a819f-a005-4264-b0aa-a06e065a3a50 · outbound

This paper cites Sørensen and K.

Unlocking the power of global quantum gates with machine learning Sørensen and K

Reference 29

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Observation 1e31fc0c-d19b-46ec-be38-e92b1d3d6df4 · outbound

This paper cites Figgatt, A.

Unlocking the power of global quantum gates with machine learning Figgatt, A

Reference 30

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Observation 41b6b585-fc3f-46da-993c-ae256fec9148 · outbound

This paper cites Bravyi, D.

Unlocking the power of global quantum gates with machine learning Bravyi, D

Reference 31

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Observation f6f43de8-4b93-445d-8921-8c83306c9e8d · outbound

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Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 32

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Observation 25ec8f20-83e0-4dff-a2a5-30952dbb7cdc · outbound

This paper cites Barren Plateaus in Variational Quantum Computing.

Unlocking the power of global quantum gates with machine learning Barren Plateaus in Variational Quantum Computing

Reference 33

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Observation 1aa9b341-0092-4ada-86c5-5af0b10601f7 · outbound

This paper cites Cerezo, A.

Unlocking the power of global quantum gates with machine learning Cerezo, A

Reference 34

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

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Observation 09fd891e-7184-40bc-9096-06962000833f · outbound

This paper cites Zhang, S.

Unlocking the power of global quantum gates with machine learning Zhang, S

Reference 35

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Observation 55fb6fd5-88c0-40f5-910b-51b2c78ae11c · outbound

This paper cites Watrous, The theory of quantum information(Cam- bridge university press, 2018).

Unlocking the power of global quantum gates with machine learning Watrous, The theory of quantum information(Cam- bridge university press, 2018)

Reference 36

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Observation e5f20316-b64a-432d-9b98-af581e6e6142 · outbound

This paper cites Nakaji and N.

Unlocking the power of global quantum gates with machine learning Nakaji and N

Reference 37

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Observation 8e8669f3-a87a-425c-a24f-9ad97804d1d1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Unlocking the power of global quantum gates with machine learning Adam: A Method for Stochastic Optimization

Reference 38

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source=pdf_text observed=2026-08-09T12:21:13.978651Z digest=sha256:9a7e754f051c6bb41408a5f7ca34051237e7ed4fe4a03f46001e4a472cf9096d

Observation 7ebdd9be-1a76-4a10-b078-50362b9e855b · outbound

This paper cites Kitaev, Anyons in an exactly solved model and be- yond, Annals of Physics 321, 2 (2006).

Unlocking the power of global quantum gates with machine learning Kitaev, Anyons in an exactly solved model and be- yond, Annals of Physics 321, 2 (2006)

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:21:13.983247Z digest=sha256:b427945ed10fb5740414e88a7d3777c6afa0df63ec2faea9762c1c4ae4b89423

Observation 84b1b82b-620c-477a-950c-8381fd70f4e5 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:21:14.570004Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:13.987517Z digest=sha256:249912a90053cbb4ce92af1887609439bb28932dc55d2ac7a6b337da4c08154f

Observation fd86b433-3751-4d34-8821-7c17137491c2 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T12:21:13.992178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:21:13.992178Z digest=sha256:e81ad234ff3653406f1584d1cc55bb14c26de6a443d87b7d20ea0b1f9e3a50a5

Observation 6e40fe59-badc-41d6-955d-f86a9cfe2374 · outbound

This paper cites Trebst, P.

Unlocking the power of global quantum gates with machine learning Trebst, P

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:21:14.547052Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:13.996615Z digest=sha256:0c58820000585178bb7223fdc4c0178ba88f72d867d1cc310adffe29a4f2986f

Observation ffabcb28-9361-40d9-b34c-904cf4a44988 · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:21:14.532657Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.000766Z digest=sha256:a4806a61ebacf5d72ad353558de686b3c2f012a1c042c25519051e256fd25651

Observation 996ce646-de2f-4bf0-8abc-8eca6b8971ca · outbound

This paper cites Levin and X.-G.

Unlocking the power of global quantum gates with machine learning Levin and X.-G

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T12:21:14.004782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:21:14.004782Z digest=sha256:5efa664ad661bbca1e09582cf9fda08a4007976a3e54f7e250cdbeea9d619079

Observation 9d788484-6ff8-4b2e-aa8b-9aeb6dbe51ae · outbound

This paper cites Kitaev and J.

Unlocking the power of global quantum gates with machine learning Kitaev and J

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:21:14.509498Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.009270Z digest=sha256:8273d05ca3ab38dc0545b283498c30078af5530ba3fc5e3af7a488c3a2771d01

Observation 8f4aa380-8453-4d91-9b12-8a82d4b9fa6f · outbound

This paper cites Learning ground states of quantum Hamiltonians with graph networks.

Unlocking the power of global quantum gates with machine learning Learning ground states of quantum Hamiltonians with graph networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T12:21:14.013438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:21:14.013438Z digest=sha256:47c7daf076194898ed529fe8586c6f206aac1cd2885e13f1b9764f32ecd9bc8a

Observation 9a6f1152-decd-4624-8d5a-b563081501f3 · outbound

This paper cites Nomura and M.

Unlocking the power of global quantum gates with machine learning Nomura and M

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:21:14.495548Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.017994Z digest=sha256:33d6c8a058ee4fd3ead8c6f87fc8f1aebe102a4da84d44564f7da396ef7d0442

Observation eaedd470-6a08-47f9-85ed-c453768190ab · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:21:14.481215Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.022453Z digest=sha256:f20eeee9ba8934c4207795ad1b6b63ef6799d3c37722ae0db5092712a7b15ad1

Observation 3cac941a-5742-4f3e-a01e-5e671fd33aeb · outbound

This paper cites an unresolved cited work.

Unlocking the power of global quantum gates with machine learning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-09T12:21:14.465401Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.026778Z digest=sha256:1684813cf541a1edecad058f61d43d0a7f82a8eb26a778a400d61b262cf433dc

Observation 76772593-359a-4dc3-9cc6-a2b57516ee75 · outbound

This paper cites Leone, S.

Unlocking the power of global quantum gates with machine learning Leone, S

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T12:21:14.030960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:21:14.030960Z digest=sha256:b36930dcf9f3f89f35b10cf1d043c9f84365c66e588330580d162bfdbe9bfbe3

Observation b3f6c78a-b5fe-46e4-adb6-44177a04bf51 · outbound

This paper cites Bravyi, D.

Unlocking the power of global quantum gates with machine learning Bravyi, D

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:21:14.450142Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.035445Z digest=sha256:48e83662cc02c050d019420a1ed6badce6fe083b33dd9c317a60fdd0833616bf

Observation 1aa789d4-8e9f-4e05-ae92-0be5f4d150f2 · outbound

This paper cites Adaptive Quantum Computation, Constant Depth Quantum Circuits and Arthur-Merlin Games.

Unlocking the power of global quantum gates with machine learning Adaptive Quantum Computation, Constant Depth Quantum Circuits and Arthur-Merlin Games

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:21:14.104621Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.039639Z digest=sha256:f8bac6fb82f59cd5a41c6f59682a8e5a27f2b23c2bd78894d6a9ba6cda2e6c78

Observation 9f0fe220-4bc6-4518-9af8-a863bef4d5ad · outbound

This paper cites Gao, S.-T.

Unlocking the power of global quantum gates with machine learning Gao, S.-T

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:21:14.433850Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.043998Z digest=sha256:27fd42cb0a33e9bc57cbc867457657be16207964e3655d2e6d12d21a4e959799

Observation f75f669b-f30e-462a-98e1-c1941309be3d · outbound

This paper cites Bermejo-Vega, D.

Unlocking the power of global quantum gates with machine learning Bermejo-Vega, D

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:21:14.418279Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.047716Z digest=sha256:43f517cd54b39eac3c928a2c762d0de221911a9b51fd89398c6bc0b9b0fbf762

Observation 142106f8-3ce6-4977-a806-5f9b634da9b7 · outbound

This paper cites Haferkamp, D.

Unlocking the power of global quantum gates with machine learning Haferkamp, D

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:21:14.378036Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-09T12:21:14.051534Z digest=sha256:9480d5876840663d86be7085f3d5b28d1a420417de50af0ad3872506762a2101

Pith citing papers

No inbound Pith citation observations are available.