Paper Citation Record · LEDGER

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity

As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.12484.

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

pith.paper-citation-record.v1
2412.12484 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:06:45.527180Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:15:57.620131Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

44 of 44 outbound references displayed

verified exact3
verified fuzzy18
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External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation ec218799-b2b5-4459-a418-76b50415260f · outbound

This paper cites an unresolved cited work.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.270053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff6bc2d-1bd2-426f-bb10-3f342fb02d7f · outbound

This paper cites Noisy intermediate-scale quantum algorithms,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Noisy intermediate-scale quantum algorithms,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.275107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134b0512-4a81-468f-946f-6c7107dbf349 · outbound

This paper cites An end-to- end trainable hybrid classical-quantum classifier,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity An end-to- end trainable hybrid classical-quantum classifier,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.280340Z

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Observation 83717e3b-3bc1-460e-8de3-ace5acd11897 · outbound

This paper cites Qtn-vqc: An end-to-end learning framework for quantum neural networks,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Qtn-vqc: An end-to-end learning framework for quantum neural networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.285834Z

Source-reported events for the cited work

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Observation 567fde24-11aa-45df-b2a0-d6363af5552d · outbound

This paper cites Quantum circuit learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum circuit learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.294119Z

Source-reported events for the cited work

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Observation 1db2605a-90e5-4e3c-af76-4f8422122326 · outbound

This paper cites Quantum convolutional neural networks for high energy physics data analysis,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum convolutional neural networks for high energy physics data analysis,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.302549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69efa6ed-d194-41ac-9175-ff94bc4174e1 · outbound

This paper cites Quantum long short-term memory,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum long short-term memory,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.308785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3400324-919d-4d37-a48a-e99873387202 · outbound

This paper cites Pqlm-multilingual decentralized portable quantum language model,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Pqlm-multilingual decentralized portable quantum language model,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.314888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514eee57-116c-4070-b619-2e40564f515f · outbound

This paper cites When bert meets quantum temporal convolution learning for text classification in heterogeneous computing,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity When bert meets quantum temporal convolution learning for text classification in heterogeneous computing,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.320154Z

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Observation 3e74208b-7daf-4f96-b7ab-4a55ad9b587b · outbound

This paper cites The dawn of quantum natural language processing,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity The dawn of quantum natural language processing,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.327478Z

Source-reported events for the cited work

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Observation 00a35840-49f5-4ece-9313-946eb7075361 · outbound

This paper cites Applying qnlp to sentiment analysis in finance,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Applying qnlp to sentiment analysis in finance,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.332622Z

Source-reported events for the cited work

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Observation 8fbab576-eea5-46e6-aa4b-17368999d32f · outbound

This paper cites Variational quantum reinforcement learning via evolutionary optimiza- tion,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Variational quantum reinforcement learning via evolutionary optimiza- tion,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.339373Z

Source-reported events for the cited work

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Observation fa54ea42-9767-47d1-abea-0e22a850abfb · outbound

This paper cites Variational quantum circuits for deep reinforcement learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Variational quantum circuits for deep reinforcement learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.344478Z

Source-reported events for the cited work

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Observation 9b5f2807-77ae-423b-984f-36249cbc1235 · outbound

This paper cites Efficient quantum recurrent reinforcement learning via quantum reservoir computing,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Efficient quantum recurrent reinforcement learning via quantum reservoir computing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.282800Z

Source-reported events for the cited work

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Observation e0dad57e-2e74-4594-a2bd-ce8bd0adad9d · outbound

This paper cites A Survey on Quantum Reinforcement Learning.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity A Survey on Quantum Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.355292Z

Source-reported events for the cited work

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Observation b69a32fa-16aa-4f52-9cda-23c122bb477b · outbound

This paper cites Quantum deep recurrent reinforcement learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum deep recurrent reinforcement learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.361722Z

Source-reported events for the cited work

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Observation b672fae6-4f08-4eac-8548-090b417f4a9f · outbound

This paper cites Quantum agents in the gym: a variational quantum algorithm for deep q-learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum agents in the gym: a variational quantum algorithm for deep q-learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.366323Z

Source-reported events for the cited work

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Observation 22d8bf52-4a62-432a-bfad-f74704716548 · outbound

This paper cites Reinforcement learning with quantum vari- ational circuit,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Reinforcement learning with quantum vari- ational circuit,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.235759Z

Source-reported events for the cited work

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Observation b984ddd8-148b-4143-8a4a-1085a965fcc5 · outbound

This paper cites Parametrized quantum policies for reinforcement learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Parametrized quantum policies for reinforcement learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.375263Z

Source-reported events for the cited work

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Observation afb608a4-18af-4120-909d-b089b3ba091c · outbound

This paper cites Asynchronous training of quantum reinforcement learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Asynchronous training of quantum reinforcement learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.202189Z

Source-reported events for the cited work

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Observation bcf3c341-1358-4d86-a484-f32500d1088a · outbound

This paper cites Vqc-based reinforcement learning with data re-uploading: performance and trainability,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Vqc-based reinforcement learning with data re-uploading: performance and trainability,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.177196Z

Source-reported events for the cited work

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Observation 39bfde92-3456-48ba-97d7-4a116823fbd7 · outbound

This paper cites Quantum Architecture Search via Deep Reinforcement Learning.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum Architecture Search via Deep Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.390042Z

Source-reported events for the cited work

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Observation 64a868fa-409e-4f44-9ed2-67a2da832c69 · outbound

This paper cites Quantum Architecture Search via Continual Reinforcement Learning.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum Architecture Search via Continual Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.395306Z

Source-reported events for the cited work

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Observation 07f8b6c4-648e-454a-87b1-c5e6101ea5d0 · outbound

This paper cites GA4QCO: Genetic Algorithm for Quantum Circuit Optimization.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity GA4QCO: Genetic Algorithm for Quantum Circuit Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.400805Z

Source-reported events for the cited work

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Observation b7cca498-c519-4b63-ab42-44c561bdbdbd · outbound

This paper cites Quantum architecture search via truly proximal policy optimization,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum architecture search via truly proximal policy optimization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.161292Z

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Observation 919112e6-f230-48c9-a389-f79efed06d81 · outbound

This paper cites Quantum reinforcement learning for quantum archi- tecture search,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum reinforcement learning for quantum archi- tecture search,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.142202Z

Source-reported events for the cited work

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Observation 725b79d7-3e0a-4839-acf3-02e512b26488 · outbound

This paper cites Deepqprep: Neural network augmented search for quantum state preparation,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Deepqprep: Neural network augmented search for quantum state preparation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.124569Z

Source-reported events for the cited work

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Observation c9150a2d-4eeb-4a88-9a3f-5158f5984269 · outbound

This paper cites Quantum architecture search with unsupervised representation learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum architecture search with unsupervised representation learning,

Reference 28

Resolution: verified exact; raw_fallback, observed 2026-08-11T14:06:45.768461Z

Source-reported events for the cited work

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Observation 7330cbaf-9f2a-462c-9532-efd01e747e8a · outbound

This paper cites Reinforcement learning for optimization of variational quan- tum circuit architectures,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Reinforcement learning for optimization of variational quan- tum circuit architectures,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.105816Z

Source-reported events for the cited work

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Observation 93fce602-61b0-4695-b4bf-20a0b20ff41e · outbound

This paper cites Monte carlo tree search based hybrid optimization of variational quantum circuits,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Monte carlo tree search based hybrid optimization of variational quantum circuits,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.086131Z

Source-reported events for the cited work

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Observation ab2f3a2c-8116-4b84-92f3-6ed395aacbcb · outbound

This paper cites Quantum Machine Learning Architecture Search via Deep Reinforcement Learning.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum Machine Learning Architecture Search via Deep Reinforcement Learning

Reference 31

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Source-reported events for the cited work

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Observation 587014fc-0052-4fe8-8ea4-9c2f8b67a72f · outbound

This paper cites Evolutionary quantum architecture search for parametrized quantum circuits,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Evolutionary quantum architecture search for parametrized quantum circuits,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.060947Z

Source-reported events for the cited work

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Observation 9d500dd5-9e25-4c95-9868-6b54d7bf35fc · outbound

This paper cites Evolutionary-based searching method for quantum circuit architecture,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Evolutionary-based searching method for quantum circuit architecture,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.036896Z

Source-reported events for the cited work

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Observation 12a8445f-e177-476b-b0d5-14bef5ec1b06 · outbound

This paper cites Multi-objective evolutionary architecture search for parameterized quantum circuits,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Multi-objective evolutionary architecture search for parameterized quantum circuits,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:46.009635Z

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.

Observation e39307a4-4b1d-4c72-9b85-ba953b37b2df · outbound

This paper cites Toward Automated Quantum Variational Machine Learning.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Toward Automated Quantum Variational Machine Learning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:06:45.574781Z

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.

Observation 6d3f9943-9cda-4095-ac53-93329907be30 · outbound

This paper cites Differentiable quantum architecture search for quantum reinforcement learning,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Differentiable quantum architecture search for quantum reinforcement learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:45.989473Z

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.

Observation 26a81c1d-c3c4-4696-bc9d-715bf0ba879c · outbound

This paper cites Neural predictor based quantum architecture search,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Neural predictor based quantum architecture search,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:45.969761Z

Source-reported events for the cited work

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Observation cf0ede80-7f05-4228-9026-88c0f10c6199 · outbound

This paper cites Quantum circuit architecture search for variational quantum algorithms,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Quantum circuit architecture search for variational quantum algorithms,

Reference 38

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Source-reported events for the cited work

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Observation 5a48e1ad-bcc8-4681-adc0-9bca2667c2e0 · outbound

This paper cites The power of quantum neural networks,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity The power of quantum neural networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.496269Z

Source-reported events for the cited work

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Observation 5101b6e6-95a6-45e9-bebf-930931894102 · outbound

This paper cites Universal statistics of fisher information in deep neural networks: Mean field approach,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Universal statistics of fisher information in deep neural networks: Mean field approach,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:45.926596Z

Source-reported events for the cited work

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Observation c32ca2a4-5465-46e7-8f31-b425df79abb5 · outbound

This paper cites Limitations of the empirical fisher approximation for natural gradient descent,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Limitations of the empirical fisher approximation for natural gradient descent,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:45.903111Z

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.

Observation 5ae63037-c62f-4229-905e-86f1340bd56c · outbound

This paper cites The spectrum of the fisher information matrix of a single-hidden-layer neural network,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity The spectrum of the fisher information matrix of a single-hidden-layer neural network,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:45.886031Z

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.

Observation 4c1aaeb4-d70d-4859-8a93-0e4f8188476d · outbound

This paper cites Approximate fisher information matrix to characterize the training of deep neural networks,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Approximate fisher information matrix to characterize the training of deep neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:45.869799Z

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.

Observation 1be4bcce-ab12-4c33-bae0-5ac3d39ab0a4 · outbound

This paper cites Efficient backprop,.

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity Efficient backprop,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:45.527180Z

Source-reported events for the cited work

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Pith citing papers

Observation 1575d8f8-35a0-4bcc-b5ee-1caf0157f29d · inbound

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications cites this paper.

Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:15:59.558508Z

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.