Paper Citation Record · LEDGER

Component-Level Inverse Design of Transmon Qubits Using Neural Networks

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.20795.

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

pith.paper-citation-record.v1
2607.20795 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:49:18.454743Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 5fdd76e9-8b6c-4a1a-ab9a-a5d2f39ec1cf · outbound

This paper cites https:// qiskit-community.github.io/ qiskit-metal/.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks https:// qiskit-community.github.io/ qiskit-metal/

Reference 1

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Observation 1fec796f-bc43-4958-b0eb-0fd55602bcc0 · outbound

This paper cites Zenodo (2021).

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Zenodo (2021)

Reference 2

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Observation 3ddcdbd5-dd82-445c-8065-dc30e209df90 · outbound

This paper cites Physical Review A69(6), 062320 (2004) https://doi.org/10.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Physical Review A69(6), 062320 (2004) https://doi.org/10

Reference 3

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Observation bd8b16ef-2753-4473-bd31-a16f61c57587 · outbound

This paper cites Physical Review Letters108(24), 240502 (2012) https://doi.org/10.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Physical Review Letters108(24), 240502 (2012) https://doi.org/10

Reference 4

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This paper cites npj Quantum Information7(1), 131 (2021) https://doi.org/10.1038/ s41534-021-00461-8.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks npj Quantum Information7(1), 131 (2021) https://doi.org/10.1038/ s41534-021-00461-8

Reference 5

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This paper cites Quantum5, 583 (2021) https://doi.org/10.22331/ q-2021-11-17-583.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Quantum5, 583 (2021) https://doi.org/10.22331/ q-2021-11-17-583

Reference 6

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This paper cites Quantum8, 1465 (2024) https://doi.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Quantum8, 1465 (2024) https://doi

Reference 7

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This paper cites A Review of Design Concerns in Superconducting Quantum Circuits.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks A Review of Design Concerns in Superconducting Quantum Circuits

Reference 8

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks Unresolved cited work

Reference 9

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This paper cites Applied Physics Reviews6(2), 021318 (2019) https://doi.org/10.1063/1.5089550.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Applied Physics Reviews6(2), 021318 (2019) https://doi.org/10.1063/1.5089550

Reference 10

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This paper cites Annual Review of Condensed Matter Physics11, 369– 395 (2020) https://doi.org/10.1146/ annurev-conmatphys-031119-050605.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Annual Review of Condensed Matter Physics11, 369– 395 (2020) https://doi.org/10.1146/ annurev-conmatphys-031119-050605

Reference 11

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Observation ebed9608-60b5-480c-a300-f8966af10376 · outbound

This paper cites Reviews of Modern Physics93(2), 025005 (2021) https://doi.org/10.1103/ RevModPhys.93.025005.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Reviews of Modern Physics93(2), 025005 (2021) https://doi.org/10.1103/ RevModPhys.93.025005

Reference 12

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This paper cites Science 339(6124), 1169–1174 (2013) https: //doi.org/10.1126/science.1231930.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Science 339(6124), 1169–1174 (2013) https: //doi.org/10.1126/science.1231930

Reference 13

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This paper cites Acta Numerica 19, 451–559 (2010) https://doi.org/ 10.1017/S0962492910000061.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Acta Numerica 19, 451–559 (2010) https://doi.org/ 10.1017/S0962492910000061

Reference 14

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Observation 04a16c20-ea57-4178-b0fa-c15b0798fe2f · outbound

This paper cites Inverse Problems25(11), 115008 (2009) https://doi.org/10.1088/0266-5611/ 25/11/115008.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Inverse Problems25(11), 115008 (2009) https://doi.org/10.1088/0266-5611/ 25/11/115008

Reference 15

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Observation 2a260a8f-4367-447f-a891-81cdb99d2d13 · outbound

This paper cites Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Bayesian inversion for the identification of the doping profile in unipolar semiconductor devices

Reference 16

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Observation 1ebea4aa-0a24-48f9-90a7-3b7c18f5d46c · outbound

This paper cites Statistical Sci- ence28(3), 424–446 (2013).

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Statistical Sci- ence28(3), 424–446 (2013)

Reference 17

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Observation 83715871-8b49-483f-824c-a95877edd76e · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Fourier Neural Operator for Parametric Partial Differential Equations

Reference 18

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Observation e3b341ea-3bcc-4549-b442-176d6951107e · outbound

This paper cites arXiv preprint arXiv:2504.20278 (2025).

Component-Level Inverse Design of Transmon Qubits Using Neural Networks arXiv preprint arXiv:2504.20278 (2025)

Reference 19

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This paper cites IEEE Reviews in Biomedical Engineering (2024).

Component-Level Inverse Design of Transmon Qubits Using Neural Networks IEEE Reviews in Biomedical Engineering (2024)

Reference 20

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This paper cites Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems

Reference 21

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks Unresolved cited work

Reference 22

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Observation 0cf5b46e-f4c3-443f-9ca3-85be98e3b91f · outbound

This paper cites ACS Photonics5(4), 1365– 1369 (2018) https://doi.org/10.1021/ acsphotonics.7b01377.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks ACS Photonics5(4), 1365– 1369 (2018) https://doi.org/10.1021/ acsphotonics.7b01377

Reference 23

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks Unresolved cited work

Reference 24

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This paper cites npj Quantum Information7(1), 49 (2021) https://doi.org/10.1038/ s41534-021-00382-6.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks npj Quantum Information7(1), 49 (2021) https://doi.org/10.1038/ s41534-021-00382-6

Reference 25

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This paper cites In: 2023 IEEE International Conference on Quan- tum Computing and Engineering (QCE), pp.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks In: 2023 IEEE International Conference on Quan- tum Computing and Engineering (QCE), pp

Reference 26

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This paper cites Solid-State Electronics 201, 108582 (2023) https://doi.org/ 10.1016/j.sse.2022.108582.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Solid-State Electronics 201, 108582 (2023) https://doi.org/ 10.1016/j.sse.2022.108582

Reference 27

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This paper cites In: 2024 International Conference on Simu- lation of Semiconductor Processes and Devices (SISPAD), pp.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks In: 2024 International Conference on Simu- lation of Semiconductor Processes and Devices (SISPAD), pp

Reference 28

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Observation 61e470ba-7bf7-4f08-97d5-cb70a57b4612 · outbound

This paper cites Neural-Network Inverse Design of SRF Cavities and Transmons for Bosonic Quantum Computation.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Neural-Network Inverse Design of SRF Cavities and Transmons for Bosonic Quantum Computation

Reference 29

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks https://scikit-learn.org/ stable/modules/generated/sklearn

Reference 30

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks Neural Networks2(5), 359– 366 (1989) https://doi.org/10.1016/ 0893-6080(89)90020-8

Reference 31

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This paper cites https://github.com/ keras-team/keras-tuner (2019).

Component-Level Inverse Design of Transmon Qubits Using Neural Networks https://github.com/ keras-team/keras-tuner (2019)

Reference 32

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This paper cites How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

Reference 33

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks In: Verification and Val- idation, vol

Reference 34

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks https://arxiv

Reference 35

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This paper cites Quantum Science and Technol- ogy9(2), 025006 (2024) https://doi.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks Quantum Science and Technol- ogy9(2), 025006 (2024) https://doi

Reference 36

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Component-Level Inverse Design of Transmon Qubits Using Neural Networks Springer, New York (2009)

Reference 37

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This paper cites https://scikit-learn.org/ stable/modules/model evaluation.

Component-Level Inverse Design of Transmon Qubits Using Neural Networks https://scikit-learn.org/ stable/modules/model evaluation

Reference 38

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Pith citing papers

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