Paper Citation Record · LEDGER

Machine Learning of Quantum Entanglement from Noisy Measurements

As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2607.22853.

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pith.paper-citation-record.v1
2607.22853 v1

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measured 45 of 45 reference resolution

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Outbound references

Observation 2ed4693a-d22a-454c-85f1-930c3d4eb78f · outbound

This paper cites Machine Learning of Quantum Entanglement from Noisy Measurements.

Machine Learning of Quantum Entanglement from Noisy Measurements Machine Learning of Quantum Entanglement from Noisy Measurements

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:20.728306Z

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Observation 996b4763-0d83-45c5-bd16-1d560286dc17 · outbound

This paper cites Density Matrix Representation The mathematical description of quantum systems is based on the formalism of Hilbert spaces and linear opera- tors acting upon them.

Machine Learning of Quantum Entanglement from Noisy Measurements Density Matrix Representation The mathematical description of quantum systems is based on the formalism of Hilbert spaces and linear opera- tors acting upon them

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:20.789539Z

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Observation e2470b6d-f2ab-4a26-a69e-8af767f2e0fc · outbound

This paper cites an unresolved cited work.

Machine Learning of Quantum Entanglement from Noisy Measurements Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:20.849818Z

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Observation a7724fa5-333c-4b54-9b0c-6d52e3200cd6 · outbound

This paper cites The analysis is organized according to the two datasets considered in this work.

Machine Learning of Quantum Entanglement from Noisy Measurements The analysis is organized according to the two datasets considered in this work

Reference 4

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Observation dea4c43b-03f3-4474-a21d-c63923d8be79 · outbound

This paper cites The analysis was based on pseudo-experimental measurement data generated us- ing SIC-POVM operators.

Machine Learning of Quantum Entanglement from Noisy Measurements The analysis was based on pseudo-experimental measurement data generated us- ing SIC-POVM operators

Reference 5

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Observation 6a4ccd28-4a28-42df-b3b1-4b6ac7122638 · outbound

This paper cites Nielsen and Isaac L.

Machine Learning of Quantum Entanglement from Noisy Measurements Nielsen and Isaac L

Reference 6

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Observation 09548341-2b82-4ac1-87f9-6bb768966b27 · outbound

This paper cites Quantum entanglement.Rev.

Machine Learning of Quantum Entanglement from Noisy Measurements Quantum entanglement.Rev

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:21.200991Z

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Observation f9c28e57-5814-488f-a410-69f468bc2586 · outbound

This paper cites an unresolved cited work.

Machine Learning of Quantum Entanglement from Noisy Measurements Unresolved cited work

Reference 8

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Observation 11b15a50-5faf-426c-96c9-9312d38302ac · outbound

This paper cites an unresolved cited work.

Machine Learning of Quantum Entanglement from Noisy Measurements Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:21.370701Z

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Observation 65aae389-5a7b-4ab8-a317-3258839b551d · outbound

This paper cites Quantum communication.Nat.

Machine Learning of Quantum Entanglement from Noisy Measurements Quantum communication.Nat

Reference 10

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Observation 3e00b7a8-4f6a-47be-87a1-88924343b679 · outbound

This paper cites Andersen, Leonardo Banchi, Mario Berta, Darius Bunandar, Roger Colbeck, Dirk Englund, Tobias Gehring, Cosmo Lupo, Carlo Ottaviani, Joseph Pereira, Mohsen Razavi, Jonatan S.

Machine Learning of Quantum Entanglement from Noisy Measurements Andersen, Leonardo Banchi, Mario Berta, Darius Bunandar, Roger Colbeck, Dirk Englund, Tobias Gehring, Cosmo Lupo, Carlo Ottaviani, Joseph Pereira, Mohsen Razavi, Jonatan S

Reference 11

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Observation 920a527f-e2a6-46fc-b718-1284485f4e3f · outbound

This paper cites Separability criterion for density matrices.Phys.

Machine Learning of Quantum Entanglement from Noisy Measurements Separability criterion for density matrices.Phys

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:21.599986Z

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Observation b6274672-3409-4cb7-b29d-9bf441c71b1c · outbound

This paper cites Separability of mixed states: Necessary and sufficient conditions.Phys.

Machine Learning of Quantum Entanglement from Noisy Measurements Separability of mixed states: Necessary and sufficient conditions.Phys

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:21.685914Z

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Observation 798f8d81-aa4d-4efa-ac75-327d57586181 · outbound

This paper cites Entanglement of a pair of quantum bits.Phys.

Machine Learning of Quantum Entanglement from Noisy Measurements Entanglement of a pair of quantum bits.Phys

Reference 14

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Observation c34ad6af-abed-4db2-b5d0-c5e7fd7c006d · outbound

This paper cites Wootters.

Machine Learning of Quantum Entanglement from Noisy Measurements Wootters

Reference 15

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Observation b76edffd-3125-46e2-86e3-dc20520e7038 · outbound

This paper cites Machine learning and the physical sciences.Rev.

Machine Learning of Quantum Entanglement from Noisy Measurements Machine learning and the physical sciences.Rev

Reference 16

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Observation 77bc6e3b-f816-4271-b26d-53cffbe2aafc · outbound

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

Machine Learning of Quantum Entanglement from Noisy Measurements Quantum machine learning.Nature, 549(7671):195–202, 2017

Reference 17

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Observation 14535afc-1d8d-43fc-91f1-9c8e166b5ac1 · outbound

This paper cites Neural networks for quantum state tomography with constrained measurements.Quantum Inf.

Machine Learning of Quantum Entanglement from Noisy Measurements Neural networks for quantum state tomography with constrained measurements.Quantum Inf

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.136274Z

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Observation 5eca2a6b-2d1a-4c48-80b3-2529d1c8f4a8 · outbound

This paper cites Entanglement detection with artificial neural networks.Sci.

Machine Learning of Quantum Entanglement from Noisy Measurements Entanglement detection with artificial neural networks.Sci

Reference 19

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Observation 493d8a48-94d4-4a5c-b111-3da2a26d8a5a · outbound

This paper cites Entanglement detection with classical deep neural networks.Sci.

Machine Learning of Quantum Entanglement from Noisy Measurements Entanglement detection with classical deep neural networks.Sci

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.306929Z

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Observation 475d3575-2d90-441f-856e-3a33dbf10e26 · outbound

This paper cites Deep learning of quantum entanglement from incomplete measurements.Sci.

Machine Learning of Quantum Entanglement from Noisy Measurements Deep learning of quantum entanglement from incomplete measurements.Sci

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.401898Z

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Observation cb0ebe1d-b830-4eed-8ac5-3deca1a931b6 · outbound

This paper cites Measuring Quantum Entanglement from Local Information by Machine Learning.

Machine Learning of Quantum Entanglement from Noisy Measurements Measuring Quantum Entanglement from Local Information by Machine Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.514180Z

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Observation c818febc-7512-4d7b-85b5-60494493aa92 · outbound

This paper cites Symmetric informationally complete quantum measurements.J.

Machine Learning of Quantum Entanglement from Noisy Measurements Symmetric informationally complete quantum measurements.J

Reference 23

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Observation 97a65249-63cb-44c4-a003-63dc0927a3f4 · outbound

This paper cites The sic question: History and state of play.Axioms, 6(3):21, 2017.

Machine Learning of Quantum Entanglement from Noisy Measurements The sic question: History and state of play.Axioms, 6(3):21, 2017

Reference 24

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Observation 8a4f4e54-fcac-4a47-995a-03cc47b865cb · outbound

This paper cites Springer Science & Business Media, 2012.

Machine Learning of Quantum Entanglement from Noisy Measurements Springer Science & Business Media, 2012

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.739766Z

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Observation f31b7406-a0cd-4ba7-bfd3-ed967136210e · outbound

This paper cites Quantum-state estimation.Phys.

Machine Learning of Quantum Entanglement from Noisy Measurements Quantum-state estimation.Phys

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.836669Z

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Observation c4ccac80-0dec-4f03-a4a8-4607ff41ef5b · outbound

This paper cites Springer Science & Business Media, 2004.

Machine Learning of Quantum Entanglement from Noisy Measurements Springer Science & Business Media, 2004

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.932922Z

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Observation 67589c50-7619-4bd1-a73f-b22134394ae5 · outbound

This paper cites Minimal number of operators for observability of n-level quantum systems.Int.

Machine Learning of Quantum Entanglement from Noisy Measurements Minimal number of operators for observability of n-level quantum systems.Int

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:22.952662Z

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Observation 628df48e-75c2-459b-bf87-ad7927789855 · outbound

This paper cites On complete and incomplete sets of observables, the principle of maximum entropy—revisited.

Machine Learning of Quantum Entanglement from Noisy Measurements On complete and incomplete sets of observables, the principle of maximum entropy—revisited

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T04:26:23.036908Z

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Observation f5e0fc14-7894-44fc-8b34-b9b4613b5a26 · outbound

This paper cites Selected concepts of quantum state tomography.Optics, 3(3):268–286, 2022.

Machine Learning of Quantum Entanglement from Noisy Measurements Selected concepts of quantum state tomography.Optics, 3(3):268–286, 2022

Reference 30

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Observation 7fce15c2-a459-41b3-9d35-2ea4aa03b98b · outbound

This paper cites Measurement of qubits.Phys.

Machine Learning of Quantum Entanglement from Noisy Measurements Measurement of qubits.Phys

Reference 31

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Observation 1cc4531f-2dd7-4d24-ac83-6ef2dd856ecc · outbound

This paper cites Minimal qubit tomography.Phys.

Machine Learning of Quantum Entanglement from Noisy Measurements Minimal qubit tomography.Phys

Reference 32

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Observation fd290f81-95a6-4cbb-a3c8-cc399a0aab8b · outbound

This paper cites Photon, poisson noise.

Machine Learning of Quantum Entanglement from Noisy Measurements Photon, poisson noise

Reference 33

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Observation b3a5364c-4720-4253-a318-5b3c8524800a · outbound

This paper cites Tomography of time-bin quantum states using time-resolved detection.Phys.

Machine Learning of Quantum Entanglement from Noisy Measurements Tomography of time-bin quantum states using time-resolved detection.Phys

Reference 34

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Observation d12c9c55-0466-46ea-91df-65838cf9e0e8 · outbound

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Machine Learning of Quantum Entanglement from Noisy Measurements Unresolved cited work

Reference 35

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Observation 8cdbaf74-c9f2-4988-b8f0-51e469eda91e · outbound

This paper cites Bishop.Pattern Recognition and Machine Learning.

Machine Learning of Quantum Entanglement from Noisy Measurements Bishop.Pattern Recognition and Machine Learning

Reference 36

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Observation d23c3626-d7f5-44b9-a528-37c7f93e71db · outbound

This paper cites Scikit-learn: Machine learning in python.J.

Machine Learning of Quantum Entanglement from Noisy Measurements Scikit-learn: Machine learning in python.J

Reference 37

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Observation 6e258360-b052-4743-bb8d-ea2f13b6555b · outbound

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Machine Learning of Quantum Entanglement from Noisy Measurements Unresolved cited work

Reference 38

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Observation 66c9ce4f-bdb2-4d70-bf29-3ebd0956f632 · outbound

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Machine Learning of Quantum Entanglement from Noisy Measurements Unresolved cited work

Reference 39

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Observation 8ae6b643-f68b-440b-8c81-0645323881b0 · outbound

This paper cites Consequently, each quantum state was represented by a sixteen-dimensional measurement vector x= (n 1, n2,.

Machine Learning of Quantum Entanglement from Noisy Measurements Consequently, each quantum state was represented by a sixteen-dimensional measurement vector x= (n 1, n2,

Reference 40

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Observation 2aff9abc-a665-49f8-829d-473c9aaf47d9 · outbound

This paper cites For this purpose, we employed the family of Werner states, which provides a convenient interpolation between maximally mixed and maximally entangled two-qubit states.

Machine Learning of Quantum Entanglement from Noisy Measurements For this purpose, we employed the family of Werner states, which provides a convenient interpolation between maximally mixed and maximally entangled two-qubit states

Reference 41

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Observation fa7f1a20-44cb-442e-9ade-bac0a3666ae2 · outbound

This paper cites However, using only the canonical Werner form would restrict the generated states to a highly symmetric subset of the full two-qubit state space.

Machine Learning of Quantum Entanglement from Noisy Measurements However, using only the canonical Werner form would restrict the generated states to a highly symmetric subset of the full two-qubit state space

Reference 42

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Observation 1306ce66-52f7-498c-99a5-668832d3f54f · outbound

This paper cites an unresolved cited work.

Machine Learning of Quantum Entanglement from Noisy Measurements Unresolved cited work

Reference 43

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Observation e4389759-16e6-437e-aacc-5a46fa9d75d9 · outbound

This paper cites For thek-th measurement operatorM k, the corresponding probability was evaluated using Born’s rule: pk = Tr Mkρ(LU) W , k= 1,.

Machine Learning of Quantum Entanglement from Noisy Measurements For thek-th measurement operatorM k, the corresponding probability was evaluated using Born’s rule: pk = Tr Mkρ(LU) W , k= 1,

Reference 44

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Observation 9577e982-4fc7-4d6d-88b0-3513b24f2552 · outbound

This paper cites , n16, C,Cbin, p .(B28) Equivalently, the ML input vector was x= (n 1, n2,.

Machine Learning of Quantum Entanglement from Noisy Measurements , n16, C,Cbin, p .(B28) Equivalently, the ML input vector was x= (n 1, n2,

Reference 45

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Pith citing papers

Observation 2ed4693a-d22a-454c-85f1-930c3d4eb78f · inbound