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Paper Citation Record · LEDGER

Photonic processor benchmarking for variational quantum process tomography

As of 22 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.08570.

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

pith.paper-citation-record.v1
2507.08570 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

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measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 74de8bad-babd-40b2-b992-9c6d486a57f3 · outbound

This paper cites With the calibration data shown in Table I.

Photonic processor benchmarking for variational quantum process tomography With the calibration data shown in Table I

Reference 1

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 2

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 3

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This paper cites Taballione, R.

Photonic processor benchmarking for variational quantum process tomography Taballione, R

Reference 4

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 5

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Observation 636f30a4-8151-4311-901a-3bf533718d0e · outbound

This paper cites Arute, K.

Photonic processor benchmarking for variational quantum process tomography Arute, K

Reference 6

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This paper cites Bluvstein, S.

Photonic processor benchmarking for variational quantum process tomography Bluvstein, S

Reference 7

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Observation 97bd7ec4-8f4d-4237-8a91-2fc56bfd5de6 · outbound

This paper cites Vincent, J.

Photonic processor benchmarking for variational quantum process tomography Vincent, J

Reference 8

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Observation 8235bafc-086d-4489-92e7-e2bc78fcae20 · outbound

This paper cites Benchmarking Quantum Processor Performance at Scale.

Photonic processor benchmarking for variational quantum process tomography Benchmarking Quantum Processor Performance at Scale

Reference 9

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This paper cites High Fidelity 12-Mode Quantum Photonic Processor Operating at InGaAs Quantum Dot Wavelength.

Photonic processor benchmarking for variational quantum process tomography High Fidelity 12-Mode Quantum Photonic Processor Operating at InGaAs Quantum Dot Wavelength

Reference 10

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 11

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This paper cites A Quantum Approximate Optimization Algorithm.

Photonic processor benchmarking for variational quantum process tomography A Quantum Approximate Optimization Algorithm

Reference 12

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 13

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 14

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This paper cites Jerbi, L.

Photonic processor benchmarking for variational quantum process tomography Jerbi, L

Reference 15

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 16

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Observation 895d6be5-0bf2-4393-8e16-e0c49814d18f · outbound

This paper cites Tilly, H.

Photonic processor benchmarking for variational quantum process tomography Tilly, H

Reference 17

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This paper cites Classically Approximating Variational Quantum Machine Learning with Random Fourier Features.

Photonic processor benchmarking for variational quantum process tomography Classically Approximating Variational Quantum Machine Learning with Random Fourier Features

Reference 18

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This paper cites That only means it implements the correct inten- sity distribution on the output when fed with light at the inputs.

Photonic processor benchmarking for variational quantum process tomography That only means it implements the correct inten- sity distribution on the output when fed with light at the inputs

Reference 19

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This paper cites Mohseni, A.

Photonic processor benchmarking for variational quantum process tomography Mohseni, A

Reference 20

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Photonic processor benchmarking for variational quantum process tomography Carolan, M

Reference 21

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 22

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Photonic processor benchmarking for variational quantum process tomography Galetsky, P

Reference 23

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This paper cites Optimizing the frequency positioning of tunable couplers in a circuit QED processor to mitigate spectator effects on quantum operations.

Photonic processor benchmarking for variational quantum process tomography Optimizing the frequency positioning of tunable couplers in a circuit QED processor to mitigate spectator effects on quantum operations

Reference 24

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Photonic processor benchmarking for variational quantum process tomography Maring, A

Reference 25

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

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Photonic processor benchmarking for variational quantum process tomography QR and LQ Decomposition Matrix Backpropagation Algorithms for Square, Wide, and Deep -- Real or Complex -- Matrices and Their Software Implementation

Reference 27

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 28

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 31

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

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Photonic processor benchmarking for variational quantum process tomography Elmas, I

Reference 33

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Photonic processor benchmarking for variational quantum process tomography Knill, R

Reference 34

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 35

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Photonic processor benchmarking for variational quantum process tomography Unresolved cited work

Reference 36

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Photonic processor benchmarking for variational quantum process tomography Skaar, J

Reference 37

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Pith citing papers

No inbound Pith citation observations are available.