Paper Citation Record · LEDGER

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks

As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2505.03378.

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

pith.paper-citation-record.v1
2505.03378 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:40.285179Z

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One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T03:37:54.406169Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T03:38:50.070864Z

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e671bbb-5d61-4e29-9d38-9874891ed148 · outbound

This paper cites Quantum supremacy using a programmable superconduct- ing processor,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum supremacy using a programmable superconduct- ing processor,

Reference 1

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Observation ca879cf2-fef9-41ba-ab6a-6f6ace80905a · outbound

This paper cites Evidence for the utility of quantum computing before fault tolerance,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Evidence for the utility of quantum computing before fault tolerance,

Reference 2

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Observation 0cb4a3a2-7c51-4aa3-a5a4-2e48f0cbc906 · outbound

This paper cites Quantum computational advantage using photons,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum computational advantage using photons,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:40.949163Z

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Observation a9a99230-335e-433b-ba13-ee0d16e0103d · outbound

This paper cites Quantum machine learning in feature hilbert spaces,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum machine learning in feature hilbert spaces,

Reference 4

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Observation 67eda661-00d5-4d74-bd18-78875d8dfc9e · outbound

This paper cites Programming quantum neural networks on nisq systems: An overview of technologies and methodologies,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Programming quantum neural networks on nisq systems: An overview of technologies and methodologies,

Reference 5

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Observation 0919adfd-4bd2-4181-bc5a-b811f01cc405 · outbound

This paper cites A Leap among Quantum Computing and Quantum Neural Networks: A Survey.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks A Leap among Quantum Computing and Quantum Neural Networks: A Survey

Reference 6

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Observation c2b3f901-5e15-44cb-a48f-9c519acd4b2e · outbound

This paper cites Power of data in quantum machine learning,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Power of data in quantum machine learning,

Reference 7

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Observation d18d05fe-513a-4cac-9eac-48947f8a7729 · outbound

This paper cites An introduction to quantum machine learning,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks An introduction to quantum machine learning,

Reference 8

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Observation fb42bf8a-6cd8-43c9-9f5f-cb9cc8768929 · outbound

This paper cites Quantum machine learning,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum machine learning,

Reference 9

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Observation 9cf3a9f9-8f67-44d5-977d-d94fe9ad1c9c · outbound

This paper cites The impact of cost function globality and locality in hybrid quantum neural networks on nisq devices,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks The impact of cost function globality and locality in hybrid quantum neural networks on nisq devices,

Reference 10

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Observation bf9b6402-7274-4e02-9ec2-1b4a8cf93813 · outbound

This paper cites Fedqnn: Federated learning using quantum neural net- works,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Fedqnn: Federated learning using quantum neural net- works,

Reference 11

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Observation e38d0b54-cf16-487d-8f16-ab13e6a5afb2 · outbound

This paper cites Financial fraud detection using quantum graph neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Financial fraud detection using quantum graph neural networks,

Reference 12

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Observation 029845d9-39fa-45d7-bf3c-c73e8966f9b8 · outbound

This paper cites Qfnn-ffd: Quantum federated neural network for financial fraud detection,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Qfnn-ffd: Quantum federated neural network for financial fraud detection,

Reference 13

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Observation d00f61d3-42db-4e91-bcc1-171837f4b79c · outbound

This paper cites Po-qa: A framework for portfolio optimization using quantum algorithms,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Po-qa: A framework for portfolio optimization using quantum algorithms,

Reference 14

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Observation 547dd64e-019e-4636-ac6f-f5cf58355d7a · outbound

This paper cites Quantum bayesian networks for machine learning in oil-spill detection,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum bayesian networks for machine learning in oil-spill detection,

Reference 15

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Observation bd3d236a-915d-4162-873d-6b7e44a3afdf · outbound

This paper cites Lep-qnn: Loan eligibility prediction using quantum neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Lep-qnn: Loan eligibility prediction using quantum neural networks,

Reference 16

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Observation d5e78a23-3448-41a7-ad7b-51149b214027 · outbound

This paper cites Fl-qdsnns: Federated learning with quantum dynamic spiking neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Fl-qdsnns: Federated learning with quantum dynamic spiking neural networks,

Reference 17

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Observation ad7c8a8b-12de-437f-94de-6f489bf03614 · outbound

This paper cites Quantum clustering for cybersecurity,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum clustering for cybersecurity,

Reference 18

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Observation 52d8f3fa-f784-4791-959f-71e990d54114 · outbound

This paper cites Qadqn: Quantum attention deep q-network for financial market prediction,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Qadqn: Quantum attention deep q-network for financial market prediction,

Reference 19

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Observation 0e17486d-0581-4188-a7d9-332535210f19 · outbound

This paper cites Review of some existing QML frameworks and novel hybrid classical-quantum neural networks realising binary classification for the noisy datasets,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Review of some existing QML frameworks and novel hybrid classical-quantum neural networks realising binary classification for the noisy datasets,

Reference 20

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Observation c23d8344-09e1-498a-aea0-194066fbc69c · outbound

This paper cites Quantum machine learning revolution in healthcare: A systematic review of emerging perspectives and applications,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum machine learning revolution in healthcare: A systematic review of emerging perspectives and applications,

Reference 21

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Observation 86c34047-e120-4133-bcee-64778ec6365f · outbound

This paper cites Quantum computing in the NISQ era and beyond,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum computing in the NISQ era and beyond,

Reference 22

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Observation 9266bcc3-a148-4f04-835c-7124e999862b · outbound

This paper cites Efficient separate quantification of state preparation errors and measurement errors on quantum computers and their mitigation,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Efficient separate quantification of state preparation errors and measurement errors on quantum computers and their mitigation,

Reference 23

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Observation 8624ef68-fa6a-4443-8b47-ff62ae38b68d · outbound

This paper cites Challenges and opportunities in quantum machine learning,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Challenges and opportunities in quantum machine learning,

Reference 24

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Observation e07bb87e-ea8f-4b12-873c-348c6d58d8c4 · outbound

This paper cites A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead

Reference 25

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Observation c8603f35-b8a1-47f8-b3a4-28e296d4f93c · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 26

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Observation d4753cf1-e468-406e-a9fc-b28449715cf8 · outbound

This paper cites Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices

Reference 27

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Observation 68f03b9a-c45d-4490-b7d4-27f0b6ea788e · outbound

This paper cites Quantum-enhanced regression analysis using state-of-the-art qlsas and qipms,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum-enhanced regression analysis using state-of-the-art qlsas and qipms,

Reference 28

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Observation ddc9e520-24b2-4fa0-821a-799da2be36ba · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Supervised learning with quantum-enhanced feature spaces,

Reference 29

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Observation 560309f1-6892-463b-9351-721f8fd56ed0 · outbound

This paper cites The inductive bias of quantum kernels,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks The inductive bias of quantum kernels,

Reference 30

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Observation d36a618c-cbee-4c94-9c99-e9d61fa4f23c · outbound

This paper cites Taking advantage of noise in quantum reservoir computing,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Taking advantage of noise in quantum reservoir computing,

Reference 31

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Observation 07bb4384-7abb-4a47-8d72-e064e9e9f3d1 · outbound

This paper cites Quantum boltzmann machine,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum boltzmann machine,

Reference 32

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Observation c9e87284-f638-48a0-9ac9-188f75783693 · outbound

This paper cites Quantum generative adversarial networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum generative adversarial networks,

Reference 33

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Observation 44481563-a8db-4ce6-b3f2-3b73969c0023 · outbound

This paper cites Demonstrating quantum advantage in hybrid quantum neural networks for model capacity,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Demonstrating quantum advantage in hybrid quantum neural networks for model capacity,

Reference 34

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This paper cites The power of quantum neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks The power of quantum neural networks,

Reference 35

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Observation 167bf3b6-8f76-42e2-a2c7-922d9586dbbd · outbound

This paper cites Hybrid classical-quantum machine learning based on dissipative two-qubit channels,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Hybrid classical-quantum machine learning based on dissipative two-qubit channels,

Reference 36

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Observation 7ee40362-1d2d-40b0-9a96-1ebec3d00c3e · outbound

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

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Classification with Quantum Neural Networks on Near Term Processors

Reference 37

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Observation 4d31d881-4998-4dab-a9cf-d4c66ae5f1dc · outbound

This paper cites Computational advantage in hybrid quantum neural networks: Myth or reality?,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Computational advantage in hybrid quantum neural networks: Myth or reality?,

Reference 38

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Observation f5dc0aa4-29db-4e71-a296-449bdd062e36 · outbound

This paper cites Nrqnn: The role of observable selection in noise-resilient quantum neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Nrqnn: The role of observable selection in noise-resilient quantum neural networks,

Reference 39

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Observation 6bf9a2b7-35d6-45a4-87ee-b0c71e7452b0 · outbound

This paper cites Designing Robust Quantum Neural Networks via Optimized Circuit Metrics.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Designing Robust Quantum Neural Networks via Optimized Circuit Metrics

Reference 40

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This paper cites Design space exploration of hybrid quantum– classical neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Design space exploration of hybrid quantum– classical neural networks,

Reference 41

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Observation 098b4157-785c-41bd-bd09-05c406260b3d · outbound

This paper cites A comparative analysis of hybrid-quantum classical neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks A comparative analysis of hybrid-quantum classical neural networks,

Reference 42

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This paper cites Quantum convolutional neural network for classical data classification,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum convolutional neural network for classical data classification,

Reference 43

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Observation df1fd194-e2d2-4587-9fe4-068b37a2e0a7 · outbound

This paper cites Studying the impact of quantum-specific hyperparameters on hybrid quantum-classical neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Studying the impact of quantum-specific hyperparameters on hybrid quantum-classical neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:40.630880Z

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Observation ce21a007-fda7-4330-9dfd-b66699157325 · outbound

This paper cites Resqnets: a residual approach for mitigating barren plateaus in quantum neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Resqnets: a residual approach for mitigating barren plateaus in quantum neural networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:40.619655Z

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Observation c1310113-eb71-4370-9b6e-e207ce1c2d56 · outbound

This paper cites Advqunn: A methodology for analyzing the adversarial robustness of quanvolutional neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Advqunn: A methodology for analyzing the adversarial robustness of quanvolutional neural networks,

Reference 46

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Observation 2ac3a905-e5bd-411b-b377-c188df8d966c · outbound

This paper cites QFAL: Quantum Federated Adversarial Learning.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks QFAL: Quantum Federated Adversarial Learning

Reference 47

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This paper cites Investigating the effect of noise on the training performance of hybrid quantum neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Investigating the effect of noise on the training performance of hybrid quantum neural networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:40.597475Z

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Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Unresolved cited work

Reference 49

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Observation adddfacd-4f7b-4161-9cec-a76ccdac6997 · outbound

This paper cites Quantum Neural Networks: A Comparative Analysis and Noise Robustness Evaluation.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum Neural Networks: A Comparative Analysis and Noise Robustness Evaluation

Reference 50

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Observation d935a711-a266-4e50-9530-745db7227583 · outbound

This paper cites HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:40.263596Z

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Observation 13cb0d8f-776c-4c0e-b960-9a07d8182105 · outbound

This paper cites Robqunns: A methodology for robust quanvolutional neural networks against adversarial attacks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Robqunns: A methodology for robust quanvolutional neural networks against adversarial attacks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:40.575501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c20d32b2-8fb6-4834-9e61-806736963b0b · outbound

This paper cites Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:40.270971Z

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Observation 095e3b94-d4be-4209-9eb8-4bce38957d0c · outbound

This paper cites ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:40.274671Z

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Unavailable: canonical work link unavailable.

Observation 151e8cd7-d44e-4401-af03-b566a67ceef5 · outbound

This paper cites Quantum convolutional neural networks,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Quantum convolutional neural networks,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:40.278517Z

Source-reported events for the cited work

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Observation c742fd15-f552-4200-b678-cbebf8abe0bc · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web],.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks The mnist database of handwritten digit images for machine learning research [best of the web],

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:40.557989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d199930-831a-4fec-9aaf-dd32feecf32f · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,.

Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:56:40.545912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 0cb0b10c-5371-41d3-ab5f-2ae59236b9aa · inbound

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era cites this paper.

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:38:50.073668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.