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Paper Citation Record · LEDGER

Loss Behavior in Supervised Learning with Entangled States

As of 14 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2509.10141.

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

pith.paper-citation-record.v1
2509.10141 v1

Coverage vector

measured 67 of 67 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T18:12:55.651107Z

measured 67 of 67 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

67 of 67 outbound references displayed

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Outbound references

Observation 665bc184-c00f-4a76-987a-e201cd42f740 · outbound

This paper cites Quantum Science and Technology.

Loss Behavior in Supervised Learning with Entangled States Quantum Science and Technology

Reference 1

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Observation 1124d329-320b-498f-a708-857a81c1c469 · outbound

This paper cites Quantum machine learning.Nature, 549(7671):195–202, 2017.

Loss Behavior in Supervised Learning with Entangled States Quantum machine learning.Nature, 549(7671):195–202, 2017

Reference 2

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Observation fb78bb0f-f72d-4c22-8463-b5e612d105ab · outbound

This paper cites Information-theoretic bounds on quan- tum advantage in machine learning.Physical review letters, 126 19:190505, 2021.

Loss Behavior in Supervised Learning with Entangled States Information-theoretic bounds on quan- tum advantage in machine learning.Physical review letters, 126 19:190505, 2021

Reference 3

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Observation 7af89499-5ca2-45ec-b8ca-201f50bfbc91 · outbound

This paper cites Quantum support vector machine for big data classification.Physical review letters, 113(13):130503, 2014.

Loss Behavior in Supervised Learning with Entangled States Quantum support vector machine for big data classification.Physical review letters, 113(13):130503, 2014

Reference 4

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Observation dec532b8-b4b9-4d63-8260-e85bb94db920 · outbound

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

Loss Behavior in Supervised Learning with Entangled States Classification with Quantum Neural Networks on Near Term Processors

Reference 5

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Observation d86d2637-090a-48ff-88fd-53bad8867b4b · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Loss Behavior in Supervised Learning with Entangled States A Quantum Approximate Optimization Algorithm

Reference 6

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Observation 7a3a1d88-8352-491a-9896-84764bb34a2a · outbound

This paper cites Warm-starting quantum optimization.

Loss Behavior in Supervised Learning with Entangled States Warm-starting quantum optimization

Reference 7

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Observation 0e9e5e35-d35b-46c9-9196-7a1d5eac6bbf · outbound

This paper cites No Free Lunch for Quantum Machine Learning.

Loss Behavior in Supervised Learning with Entangled States No Free Lunch for Quantum Machine Learning

Reference 8

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Observation 74c5b432-f7f8-470f-9fb7-465db48cf8f9 · outbound

This paper cites Cerezo, and Patrick J.

Loss Behavior in Supervised Learning with Entangled States Cerezo, and Patrick J

Reference 9

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Observation 246a26fb-0eca-4027-9fc0-3be0df27cbfd · outbound

This paper cites Sornborger, and Patrick J.

Loss Behavior in Supervised Learning with Entangled States Sornborger, and Patrick J

Reference 10

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Observation e6cccfa7-86b5-4de5-b5ff-50f6d7e83674 · outbound

This paper cites Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, 2019.

Loss Behavior in Supervised Learning with Entangled States Parameterized quantum circuits as machine learning models.Quantum Science and Technology, 4(4):043001, 2019

Reference 11

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Observation ed906df7-5d65-45ab-986d-c92aad38bf1c · outbound

This paper cites Quantum advantage in learning from experiments.Science, 376(6598):1182–1186, 2022.

Loss Behavior in Supervised Learning with Entangled States Quantum advantage in learning from experiments.Science, 376(6598):1182–1186, 2022

Reference 12

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Observation 17807308-3a71-4950-a8e6-6f02edfea913 · outbound

This paper cites Caro, Hsin-Yuan Huang, Nicholas Ezzell, et al.

Loss Behavior in Supervised Learning with Entangled States Caro, Hsin-Yuan Huang, Nicholas Ezzell, et al

Reference 13

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Observation a2dc3a3d-3cd6-4f3c-98a4-8a2869fbfe58 · outbound

This paper cites Universal compiling and (no-)free-lunch theorems for continuous-variable quantum learning.PRX Quantum, 2:040327, 2021.

Loss Behavior in Supervised Learning with Entangled States Universal compiling and (no-)free-lunch theorems for continuous-variable quantum learning.PRX Quantum, 2:040327, 2021

Reference 14

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Observation f5f6672e-551a-4012-a489-9ad21b71e9ef · outbound

This paper cites Cerezo, Zoë Holmes, Lukasz Cincio, Andrew Sornborger, and Patrick J.

Loss Behavior in Supervised Learning with Entangled States Cerezo, Zoë Holmes, Lukasz Cincio, Andrew Sornborger, and Patrick J

Reference 15

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Observation 396b3c15-bffd-4433-a067-a5be5c3a13db · outbound

This paper cites Transition role of entangled data in quantum machine learning.Nature Communications, 15(1):3716,.

Loss Behavior in Supervised Learning with Entangled States Transition role of entangled data in quantum machine learning.Nature Communications, 15(1):3716,

Reference 16

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Observation db52a862-46c5-4ce5-9298-eb1bdcba98e6 · outbound

This paper cites On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data.

Loss Behavior in Supervised Learning with Entangled States On Reducing the Amount of Samples Required for Training of QNNs: Constraints on the Linear Structure of the Training Data

Reference 17

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Observation be114561-aadf-41d4-9d16-cb30e3f1b85a · outbound

This paper cites Cerezo, and Patrick J.

Loss Behavior in Supervised Learning with Entangled States Cerezo, and Patrick J

Reference 18

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Observation 36d6e9af-ffae-4286-94fb-b4b43ade5e40 · outbound

This paper cites Barren plateaus in variational quantum computing.Nature Reviews Physics, 2025.

Loss Behavior in Supervised Learning with Entangled States Barren plateaus in variational quantum computing.Nature Reviews Physics, 2025

Reference 19

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Observation 59b4e893-921b-4707-9eff-34ad9cda8496 · outbound

This paper cites Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, and Patrick J.

Loss Behavior in Supervised Learning with Entangled States Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, and Patrick J

Reference 20

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Observation a73e8b74-5fe9-4bf7-a21e-0adc35533e17 · outbound

This paper cites Cerezo, et al.

Loss Behavior in Supervised Learning with Entangled States Cerezo, et al

Reference 21

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Observation 65109704-b0b6-488f-8725-98a4adb77400 · outbound

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Loss Behavior in Supervised Learning with Entangled States Unresolved cited work

Reference 22

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Observation 14cf6c9b-8fd7-421e-a434-4126056f6b8b · outbound

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Loss Behavior in Supervised Learning with Entangled States Unresolved cited work

Reference 23

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Observation 41434df0-f025-478d-9ccd-440d092c09c4 · outbound

This paper cites Exploring the cost landscape of variational quantum algorithms.

Loss Behavior in Supervised Learning with Entangled States Exploring the cost landscape of variational quantum algorithms

Reference 24

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Observation 0457441b-769a-4d1a-9275-ef15414013f9 · outbound

This paper cites Cerezo, and Patrick J.

Loss Behavior in Supervised Learning with Entangled States Cerezo, and Patrick J

Reference 25

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Observation 4887e655-3886-4d49-acce-3b86904ecb33 · outbound

This paper cites A unifying account of warm start guarantees for patches of quantum landscapes.

Loss Behavior in Supervised Learning with Entangled States A unifying account of warm start guarantees for patches of quantum landscapes

Reference 26

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Observation 8b4b33c4-8f66-447d-8a1c-b5bde4d4ad5d · outbound

This paper cites Parallel variational quantum algorithms with gradient-informed restart to speed up optimisation in the presence of barren plateaus.

Loss Behavior in Supervised Learning with Entangled States Parallel variational quantum algorithms with gradient-informed restart to speed up optimisation in the presence of barren plateaus

Reference 27

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Observation 456e7b13-14aa-4d2f-8f6e-631d3bf069a2 · outbound

This paper cites Nielsen and Isaac L.

Loss Behavior in Supervised Learning with Entangled States Nielsen and Isaac L

Reference 28

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Observation 7f112759-80b3-4cf3-8d6c-6d65ffd09d66 · outbound

This paper cites Concen- trating partial entanglement by local operations.Physical Review A, 53(4):2046, 1996.

Loss Behavior in Supervised Learning with Entangled States Concen- trating partial entanglement by local operations.Physical Review A, 53(4):2046, 1996

Reference 29

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Observation 0d1a4291-cd3c-4b84-9f78-3f9767f28494 · outbound

This paper cites CambridgeUniversityPress, 2017.

Loss Behavior in Supervised Learning with Entangled States CambridgeUniversityPress, 2017

Reference 30

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Observation 22b6003e-175d-49cf-8544-5ed458774a3e · outbound

This paper cites Introduction to haar measure tools in quantum information: A beginner’s tutorial.Quantum, 8:1340, 2024.

Loss Behavior in Supervised Learning with Entangled States Introduction to haar measure tools in quantum information: A beginner’s tutorial.Quantum, 8:1340, 2024

Reference 31

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Observation 96511b82-58e2-4088-8af7-59643ac9eb74 · outbound

This paper cites Miszczak.

Loss Behavior in Supervised Learning with Entangled States Miszczak

Reference 32

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Observation 50493cff-b58d-4c62-9fe8-bbbf224228b5 · outbound

This paper cites Quantum speed limit based on the bound of Bures angle.

Loss Behavior in Supervised Learning with Entangled States Quantum speed limit based on the bound of Bures angle

Reference 33

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Observation b628449e-37b4-4493-b909-5d7afe9c2212 · outbound

This paper cites Lie groups, Lie algebras, and representations.

Loss Behavior in Supervised Learning with Entangled States Lie groups, Lie algebras, and representations

Reference 34

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Observation 21a2a56e-a06e-4bd6-8a2f-1ade40bd0ad2 · outbound

This paper cites Query-optimal es- timation of unitary channels in diamond distance.

Loss Behavior in Supervised Learning with Entangled States Query-optimal es- timation of unitary channels in diamond distance

Reference 35

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Observation 91fb27c3-be2a-4097-9fc1-ce78e67bfc6b · outbound

This paper cites Johnson, and Alán Aspuru-Guzik.

Loss Behavior in Supervised Learning with Entangled States Johnson, and Alán Aspuru-Guzik

Reference 36

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Observation cc5a701c-e9f7-4dc5-8b75-2fc1f8fb8691 · outbound

This paper cites Cerezo et al.

Loss Behavior in Supervised Learning with Entangled States Cerezo et al

Reference 37

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source=pdf_text observed=2026-08-04T18:12:53.426218Z digest=sha256:41813047fcacbc2082933c12c309c421c141f40a2964be44674fd34b22c339f2

Observation 4db4e5ec-e7ad-49ba-a18c-416dbbcce5b1 · outbound

This paper cites On the differential topology of expressivity of parame- terized quantum circuits.AppliedMath, 5(3):121, 2025.

Loss Behavior in Supervised Learning with Entangled States On the differential topology of expressivity of parame- terized quantum circuits.AppliedMath, 5(3):121, 2025

Reference 38

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source=pdf_text observed=2026-08-04T18:12:53.576668Z digest=sha256:1a48a2c1bf58ab88406fb170ac6a9bec1db9f303622e4217410f5d9220cc727e

Observation daa10873-49bd-43a2-a0be-8f20df05f833 · outbound

This paper cites Quantum circuit ansatz: patterns of ab- straction and reuse of quantum algorithm design.

Loss Behavior in Supervised Learning with Entangled States Quantum circuit ansatz: patterns of ab- straction and reuse of quantum algorithm design

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source=pdf_text observed=2026-08-04T18:12:53.647593Z digest=sha256:ea27ea1b37856cb08a4669df62fd9e8fc1054c5cddeb00b93dc30cc6a38f96ac

Observation c7a43e43-fa79-460a-ae0e-eb75a92934b4 · outbound

This paper cites Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance.Science China Information Sciences, 68(8):1–11, 2025.

Loss Behavior in Supervised Learning with Entangled States Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance.Science China Information Sciences, 68(8):1–11, 2025

Reference 40

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

source=pdf_text observed=2026-08-04T18:12:53.715285Z digest=sha256:3831dfbe4e62e07ce6d4b8b1383639e4db9dce8eb4dc3124a8a5dd2e278f1095

Observation e68cbe03-c5cc-4442-8e53-bc43fc85df5f · outbound

This paper cites Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets.Nature, 549(7671):242–246,.

Loss Behavior in Supervised Learning with Entangled States Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets.Nature, 549(7671):242–246,

Reference 41

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source=pdf_text observed=2026-08-04T18:12:53.783709Z digest=sha256:c65917435e4e336861620d4e3640b9e84af4304aa67880238fdb00fbed3c4204

Observation 3af426d7-f033-40fc-b538-7f48cf0caf03 · outbound

This paper cites Dimensional expressivity analysis of parametric quantum circuits.Quantum, 5:422, 2021.

Loss Behavior in Supervised Learning with Entangled States Dimensional expressivity analysis of parametric quantum circuits.Quantum, 5:422, 2021

Reference 42

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source=pdf_text observed=2026-08-04T18:12:53.935608Z digest=sha256:a461181b6ad3350f171da31e436f69108ba0fc617e2158b21be739e9a9ddd68d

Observation da6b817a-8171-436b-bc50-33cb79c7d539 · outbound

This paper cites Quantum neural network cost function concentration dependency on the parametrization expressivity.Scientific reports, 13(1):9978, 2023.

Loss Behavior in Supervised Learning with Entangled States Quantum neural network cost function concentration dependency on the parametrization expressivity.Scientific reports, 13(1):9978, 2023

Reference 43

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

source=pdf_text observed=2026-08-04T18:12:54.041404Z digest=sha256:8489cd8dc6c17e25bb6dd105278a0af2bfa4a958d3b6dc773330c958c8e82d68

Observation 1101c43b-a751-43d4-b788-1b15b086cd4c · outbound

This paper cites Roughness index for loss landscapes of neural network models of partial differential equations.

Loss Behavior in Supervised Learning with Entangled States Roughness index for loss landscapes of neural network models of partial differential equations

Reference 44

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no resolver link, observed 2026-08-04T18:12:54.136053Z

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source=pdf_text observed=2026-08-04T18:12:54.136053Z digest=sha256:531ea54669c0c070adc1f78e114fa24f4630581c0464c5ba13d3061c7288fa29

Observation abcbbd98-d056-4b6c-8871-d43252bc4cf3 · outbound

This paper cites Cerezo, Samson Wang, Tyler Volkoff, Andrew T.

Loss Behavior in Supervised Learning with Entangled States Cerezo, Samson Wang, Tyler Volkoff, Andrew T

Reference 45

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source=pdf_text observed=2026-08-04T18:12:54.208218Z digest=sha256:ddca5607461eb1cf1b3fcbee52be3a831a102d04e7135673f7a7c043fb46f54b

Observation 84b765a8-f939-4709-aac9-84ec6273296f · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.Nature Communications, 9 (1):4812, 2018.

Loss Behavior in Supervised Learning with Entangled States Barren plateaus in quantum neural network training landscapes.Nature Communications, 9 (1):4812, 2018

Reference 46

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source=pdf_text observed=2026-08-04T18:12:54.317321Z digest=sha256:277bdfda324b4c523a0fd19c342c9438bd0019d7dc2cdd33ca615fa1e19bb674

Observation c4371f0c-a4aa-4d4e-8327-241d7f8d5915 · outbound

This paper cites An initial- ization strategy for addressing barren plateaus in parametrized quantum circuits.Quantum, 3:214, 2019.

Loss Behavior in Supervised Learning with Entangled States An initial- ization strategy for addressing barren plateaus in parametrized quantum circuits.Quantum, 3:214, 2019

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source=pdf_text observed=2026-08-04T18:12:54.400848Z digest=sha256:d7a33943fa876e47a8fd033db9230840edda17e655652bd970bf2df7c1f5738d

Observation a0592664-62b6-483a-a294-f53d2345fb24 · outbound

This paper cites Estimates of loss function concentration in noisy parametrized quantum circuits.

Loss Behavior in Supervised Learning with Entangled States Estimates of loss function concentration in noisy parametrized quantum circuits

Reference 48

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source=pdf_text observed=2026-08-04T18:12:54.486471Z digest=sha256:f5ead7f0ad880899456e0d67d3257a3c47e084022baee0156c9f48feff728b4b

Observation d741f2b9-a087-44dd-a466-f0228f2504a0 · outbound

This paper cites Data repository for ’Loss Behavior in Supervised Learning With Entangled States’.

Loss Behavior in Supervised Learning with Entangled States Data repository for ’Loss Behavior in Supervised Learning With Entangled States’

Reference 49

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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=2026-08-04T18:12:54.590916Z digest=sha256:0497de84649d357603b573b473a287d9d0cbc0713799f0ce712532996af5df7b

Observation bcf0706f-8b60-4bd8-9a6a-7670afdd92e0 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.

Loss Behavior in Supervised Learning with Entangled States Pytorch: An imperative style, high- performance deep learning library

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source=pdf_text observed=2026-08-04T18:12:54.639499Z digest=sha256:d1115505798ce6982620a772f1abb1699f0ffee3cbd1bf5e12c3825c13cc7ab9

Observation d5e30f0e-96ea-45b7-9bce-7c21efa8abe4 · outbound

This paper cites A software package for sequential quadratic programming.Forschungsbericht- Deutsche Forschungs- und Versuchsanstalt fur Luft- und Raumfahrt, 1988.

Loss Behavior in Supervised Learning with Entangled States A software package for sequential quadratic programming.Forschungsbericht- Deutsche Forschungs- und Versuchsanstalt fur Luft- und Raumfahrt, 1988

Reference 51

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source=pdf_text observed=2026-08-04T18:12:54.717473Z digest=sha256:d17452a6234b6fa3c50ceac40d042af8ed54d6d765dac58f8b8ed6e921ad6bb9

Observation 67a31e49-43bf-4a63-a991-b840fd822d58 · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.Nature Methods, 17:261–272, 2020.

Loss Behavior in Supervised Learning with Entangled States SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.Nature Methods, 17:261–272, 2020

Reference 52

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no resolver link, observed 2026-08-04T18:12:54.805435Z

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source=pdf_text observed=2026-08-04T18:12:54.805435Z digest=sha256:84d382c8d73dc9d562cdb7f94c60c186d3937f8f97c54fcd874700cac02c2b64

Observation 8f38edcf-99b7-4bd3-945e-c1bccbc16a00 · outbound

This paper cites Elementary gates for quantum computation.Physical review A, 52(5):3457, 1995.

Loss Behavior in Supervised Learning with Entangled States Elementary gates for quantum computation.Physical review A, 52(5):3457, 1995

Reference 53

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source=pdf_text observed=2026-08-04T18:12:54.890411Z digest=sha256:57ab6e59f410b05b745c10f625c4344d6c617fee2666f883b268ca61e7b2c96d

Observation 3c436e0e-503d-49f4-9a2a-8c8c71dcd611 · outbound

This paper cites Warm-starting and quantum comput- ing: A systematic mapping study.ACM Comput.

Loss Behavior in Supervised Learning with Entangled States Warm-starting and quantum comput- ing: A systematic mapping study.ACM Comput

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

source=pdf_text observed=2026-08-04T18:12:54.950104Z digest=sha256:e155c7aa8097fd5884829537fdd4fd3f09869ff0ee18820aacf70299dc327f90

Observation 2671e051-c608-4a12-9999-27ddffa733fe · outbound

This paper cites Does provable absence of barren plateaus imply classical simulability?.

Loss Behavior in Supervised Learning with Entangled States Does provable absence of barren plateaus imply classical simulability?

Reference 55

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source=pdf_text observed=2026-08-04T18:12:55.038179Z digest=sha256:1903ebd39f43689c494275b63eb85e114d408c640957e780ec55843c7b852a58

Observation 41dcaf21-2b99-4974-b9d1-2df331833645 · outbound

This paper cites Bounds on the diagonal elements of a unitary matrix.Linear Algebra and its Applications, 20(3):189–195, 1978.

Loss Behavior in Supervised Learning with Entangled States Bounds on the diagonal elements of a unitary matrix.Linear Algebra and its Applications, 20(3):189–195, 1978

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

source=pdf_text observed=2026-08-04T18:12:55.090114Z digest=sha256:298b37c0ba36c0db9e9c2d7b7a60cf93883868afae36fecf295fa5a1fed0b265

Observation f62a56c1-f428-4565-8e64-ed22f582a83e · outbound

This paper cites Springer, 2015.

Loss Behavior in Supervised Learning with Entangled States Springer, 2015

Reference 57

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no resolver link, observed 2026-08-04T18:12:55.191187Z

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source=pdf_text observed=2026-08-04T18:12:55.191187Z digest=sha256:b9dae17c4a63bbbd12f27396f019c907b49f4e6a6b7ef7c2bb41d7df0b037f09

Observation 932c31f4-23f2-4e1f-bd1b-2c304ba433a9 · outbound

This paper cites an unresolved cited work.

Loss Behavior in Supervised Learning with Entangled States Unresolved cited work

Reference 58

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

source=pdf_text observed=2026-08-04T18:12:55.246245Z digest=sha256:9638c1c87150b86e203b3840af3c7e88fe3d4f1de69bf948a4c929606f519e37

Observation 3ca4bed2-840b-42f7-b9e4-c658dc20f2fa · outbound

This paper cites Certain inequalities of kober and lazarevic type.The Journal of the Indian Mathematical Society, 89(1-2):01–07, 2022.

Loss Behavior in Supervised Learning with Entangled States Certain inequalities of kober and lazarevic type.The Journal of the Indian Mathematical Society, 89(1-2):01–07, 2022

Reference 59

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

source=pdf_text observed=2026-08-04T18:12:55.307800Z digest=sha256:e02855bb4f360e5505cd9b5009c60d35ccc3a39a4dc69580b9ad7cec4daa2a92

Observation 148f8eab-1d22-4ba3-9ebf-c123830d7d32 · outbound

This paper cites Jordan’s inequality: refinements, generalizations, applications and related problems.

Loss Behavior in Supervised Learning with Entangled States Jordan’s inequality: refinements, generalizations, applications and related problems

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source=pdf_text observed=2026-08-04T18:12:55.352440Z digest=sha256:6606586d0c84f445ca084dd872dd00fdee81b949ed7de55515711ec608b7c4c8

Observation fc8e6a86-1ba7-4c9d-a7d9-6afea2b8a9e4 · outbound

This paper cites Expressibility of the alternating layered ansatz for quantum computation.Quantum, 5:434, 2021.

Loss Behavior in Supervised Learning with Entangled States Expressibility of the alternating layered ansatz for quantum computation.Quantum, 5:434, 2021

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source=pdf_text observed=2026-08-04T18:12:55.404336Z digest=sha256:aa2f4fa70357938eeca9d502d036c8ddc1e2b8dd35c38ed754d3117ff84d37fc

Observation d8469be9-d5c1-4eee-b18a-8f3a9597f9c0 · outbound

This paper cites Average fidelity between random quantum states.Phys.

Loss Behavior in Supervised Learning with Entangled States Average fidelity between random quantum states.Phys

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source=pdf_text observed=2026-08-04T18:12:55.482765Z digest=sha256:e560d2abd614b27687dc4249d49f6e6e81de1b2e32af6c384d4f8d6eee1b6938

Observation 6096eb93-a3fd-4869-b0da-f2d6477f404f · outbound

This paper cites Random pure states.

Loss Behavior in Supervised Learning with Entangled States Random pure states

Reference 63

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source=pdf_text observed=2026-08-04T18:12:55.568179Z digest=sha256:43b6555b9f8864f0f415b9ef80387d583878260664f3af35885a1877b65fa3dd

Observation 57b2299b-437a-4032-9ebd-415620ac6733 · outbound

This paper cites an unresolved cited work.

Loss Behavior in Supervised Learning with Entangled States Unresolved cited work

Reference 67

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source=pdf_text observed=2026-08-04T18:12:55.651107Z digest=sha256:cc725c9f938ee0cd4d69ae122158c1ba7c4536b82b161d5db67544edfa9bd60e

Observation 05f4193e-4d7e-4a69-99b1-299309259b09 · outbound

This paper cites an unresolved cited work.

Loss Behavior in Supervised Learning with Entangled States Unresolved cited work

Reference 2017

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source=pdf_text observed=2026-08-04T18:12:53.859965Z digest=sha256:8a7056b837889d6804f2d2352b30d6d0178edfb070d53a2b66b285ada32a1204

Observation 55c5dfe4-6e6b-479a-acd6-1c2d75b38e6d · outbound

This paper cites an unresolved cited work.

Loss Behavior in Supervised Learning with Entangled States Unresolved cited work

Reference 2021

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source=pdf_text observed=2026-08-04T18:12:53.499938Z digest=sha256:be610313ebafa841722b7d278a6dd73eaedf0c32b5f1de1a47ab27ce88995f2c

Observation cac65dec-97e6-4156-9fee-d4762f5488c9 · outbound

This paper cites an unresolved cited work.

Loss Behavior in Supervised Learning with Entangled States Unresolved cited work

Reference 2024

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source=pdf_text observed=2026-08-04T18:12:51.687549Z digest=sha256:6d081204a82a11beda0aab7b3a595072faf561e03fb47b0f7e4f8a6540d3edf9

Pith citing papers

No inbound Pith citation observations are available.