Hybrid Parameterized Quantum States for Variational Quantum Learning | Paper Citation Record

Observation 5d1c8a2d-5b42-4af2-8069-e11bbc01775d · outbound

This paper cites Data re- uploading for a universal quantum classifier.

Hybrid Parameterized Quantum States for Variational Quantum Learning Data re- uploading for a universal quantum classifier

Reference 1

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Observation 522a9e6a-2989-41a1-856b-b56f68516d71 · outbound

This paper cites Effect of data encoding on the expres- sive power of variational quantum-machine-learning models.Physical Review A, 103(3):032430, 2021.

Hybrid Parameterized Quantum States for Variational Quantum Learning Effect of data encoding on the expres- sive power of variational quantum-machine-learning models.Physical Review A, 103(3):032430, 2021

Reference 2

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Observation 6330e43d-1a91-4773-87ff-be2ecb93d73d · outbound

This paper cites Quantum machine learning in feature hilbert spaces.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum machine learning in feature hilbert spaces

Reference 3

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Observation 69429706-f2d9-4d41-9c82-1014f0532d78 · outbound

This paper cites Hybrid quantum-classical convolutional neural networks.

Hybrid Parameterized Quantum States for Variational Quantum Learning Hybrid quantum-classical convolutional neural networks

Reference 4

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Observation 285c56af-0314-4b14-b622-d9f5f53c731c · outbound

This paper cites Quantum machine learning.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum machine learning

Reference 5

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Observation 5ff01e04-a240-4d17-b5e9-32957abc3098 · outbound

This paper cites Demonstration of quantum advantage in machine learning.

Hybrid Parameterized Quantum States for Variational Quantum Learning Demonstration of quantum advantage in machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:16.930191Z

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Observation 0b1cac44-a01c-46f7-ab79-fc51c3380ac5 · outbound

This paper cites Quantum advantage in learning from experiments.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum advantage in learning from experiments

Reference 7

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Observation b79a4cea-e2bc-4ab4-9c2f-5c6a76361fe7 · outbound

This paper cites Challenges and opportunities in quantum machine learning.

Hybrid Parameterized Quantum States for Variational Quantum Learning Challenges and opportunities in quantum machine learning

Reference 8

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Observation 7f729195-a63f-42f5-86be-0547efb0e89b · outbound

This paper cites Few measurement shots challenge generalization in learning to classify entanglement.

Hybrid Parameterized Quantum States for Variational Quantum Learning Few measurement shots challenge generalization in learning to classify entanglement

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:02:08.221681Z

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Observation 5a1c00ea-af35-4c8a-a594-507ac1a294e8 · outbound

This paper cites Quantum computing in the nisq era and beyond.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum computing in the nisq era and beyond

Reference 10

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Observation 8e721b1e-fe40-4e86-968e-6308bb2b29d7 · outbound

This paper cites Shadow tomography of quantum states.

Hybrid Parameterized Quantum States for Variational Quantum Learning Shadow tomography of quantum states

Reference 11

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Observation f1089a81-afdd-44be-b5fe-70c6e0c751dc · outbound

This paper cites Reliable quantum state tomography.

Hybrid Parameterized Quantum States for Variational Quantum Learning Reliable quantum state tomography

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:16.500323Z

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Observation f72d2d87-3e4c-48e5-ba11-cce396fe1c6e · outbound

This paper cites Quantum error mitigation.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum error mitigation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:15.750307Z

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Observation ebba68a0-8f02-427a-9555-f05e6580e453 · outbound

This paper cites Practical quantum error mitigation for near- future applications.

Hybrid Parameterized Quantum States for Variational Quantum Learning Practical quantum error mitigation for near- future applications

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:15.527638Z

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Observation d56a227a-efbd-4603-a592-df127a7f6e2c · outbound

This paper cites Quantum error correction.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum error correction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:15.373077Z

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Observation 27a4932e-5a5f-44f0-a456-8449d8c638ff · outbound

This paper cites High-threshold and low-overhead fault-tolerant quantum memory.

Hybrid Parameterized Quantum States for Variational Quantum Learning High-threshold and low-overhead fault-tolerant quantum memory

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:15.149964Z

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Observation 643bc3ab-dc3c-42fa-822a-aeba63c455eb · outbound

This paper cites Solving the quantum many-body problem with artificial neural networks.

Hybrid Parameterized Quantum States for Variational Quantum Learning Solving the quantum many-body problem with artificial neural networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:04.287096Z

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Observation f5a641e7-4da1-4a27-9d88-59fddef6a69c · outbound

This paper cites Neural- network quantum states, string-bond states, and chiral topological states.

Hybrid Parameterized Quantum States for Variational Quantum Learning Neural- network quantum states, string-bond states, and chiral topological states

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:14.951640Z

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Observation 2b43dbdb-478e-4c1e-b801-c934e8bfb1ff · outbound

This paper cites Neural-network approach to dissipative quantum many-body dynamics.

Hybrid Parameterized Quantum States for Variational Quantum Learning Neural-network approach to dissipative quantum many-body dynamics

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:14.777658Z

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Observation 8cf83d46-21b8-4809-a983-894d53e5e39a · outbound

This paper cites Symmetries and many- body excitations with neural-network quantum states.

Hybrid Parameterized Quantum States for Variational Quantum Learning Symmetries and many- body excitations with neural-network quantum states

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:14.665752Z

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Observation 2ef6a4b9-d0c2-473e-8f80-9cfaf550fd18 · outbound

This paper cites Neural-network quantum state tomography.

Hybrid Parameterized Quantum States for Variational Quantum Learning Neural-network quantum state tomography

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:14.524147Z

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Observation 106543a4-82ea-40b9-92a4-29262eb65f64 · outbound

This paper cites Fermionic neural-network states for ab-initio electronic structure.

Hybrid Parameterized Quantum States for Variational Quantum Learning Fermionic neural-network states for ab-initio electronic structure

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:14.361742Z

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Observation 405e76ac-7d36-4304-bef8-f89a7ca23c1b · outbound

This paper cites Neural-network quantum states for ultra-cold fermi gases.

Hybrid Parameterized Quantum States for Variational Quantum Learning Neural-network quantum states for ultra-cold fermi gases

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:14.127082Z

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Observation bdadc1d8-b59b-48ff-b442-cc1844307418 · outbound

This paper cites Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states.

Hybrid Parameterized Quantum States for Variational Quantum Learning Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:13.919908Z

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Observation ea5df0fb-dbd6-47a3-8b88-84bf22994646 · outbound

This paper cites Variational quantum circuits for deep reinforcement learning.

Hybrid Parameterized Quantum States for Variational Quantum Learning Variational quantum circuits for deep reinforcement learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:13.732891Z

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Observation 1c7e009b-e6ae-49d3-a1b1-ae96593ca12c · outbound

This paper cites Expressive power of parametrized quantum circuits.

Hybrid Parameterized Quantum States for Variational Quantum Learning Expressive power of parametrized quantum circuits

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:13.442974Z

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Observation 9b74e027-25d8-4c40-8bdc-1347b9e65090 · outbound

This paper cites Parameterized quantum circuits as machine learning models.

Hybrid Parameterized Quantum States for Variational Quantum Learning Parameterized quantum circuits as machine learning models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:13.195521Z

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Observation c9fd0923-a6d0-4c77-b648-a71703c1a1d1 · outbound

This paper cites Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets.

Hybrid Parameterized Quantum States for Variational Quantum Learning Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:05.222572Z

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Observation 92647f6d-b76d-433d-996f-5ad2fa7ddf22 · outbound

This paper cites On the practical usefulness of the hardware efficient ansatz.

Hybrid Parameterized Quantum States for Variational Quantum Learning On the practical usefulness of the hardware efficient ansatz

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:12.923141Z

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Observation dc807a21-1f0b-4bde-9df4-b873356605cb · outbound

This paper cites Efficient quantum state tomography.

Hybrid Parameterized Quantum States for Variational Quantum Learning Efficient quantum state tomography

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:05.462969Z

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Observation 8aab3a6b-44e2-4f88-b416-79dc6be2e713 · outbound

This paper cites Quan- tum state tomography via nonconvex riemannian gradient descent.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quan- tum state tomography via nonconvex riemannian gradient descent

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:12.715689Z

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Observation 193500aa-0b2b-4115-b188-eb016f992c3a · outbound

This paper cites Error mitigation extends the computational reach of a noisy quantum processor.

Hybrid Parameterized Quantum States for Variational Quantum Learning Error mitigation extends the computational reach of a noisy quantum processor

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:12.432967Z

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Observation 6772e319-ea2f-4c10-9453-0b2ff92973c8 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Hybrid Parameterized Quantum States for Variational Quantum Learning Approximation by superpositions of a sigmoidal function

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:05.832185Z

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Observation e87148e9-1081-47c0-a33f-3e97e6ad13fc · outbound

This paper cites Multilayer feedforward networks are universal approximators.

Hybrid Parameterized Quantum States for Variational Quantum Learning Multilayer feedforward networks are universal approximators

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:05.923420Z

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Observation 30f08b33-77b5-441e-a28d-a8e1e45251af · outbound

This paper cites Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:05.990031Z

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Observation 9af245af-9eaf-416d-96a5-1ce1704c2560 · outbound

This paper cites Training classical neural networks by quantum machine learning.

Hybrid Parameterized Quantum States for Variational Quantum Learning Training classical neural networks by quantum machine learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:12.167387Z

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Observation 332b4393-2b9c-4643-a3c8-5dadc98999f2 · outbound

This paper cites Qtrl: Toward practical quantum reinforcement learning via quantum-train.

Hybrid Parameterized Quantum States for Variational Quantum Learning Qtrl: Toward practical quantum reinforcement learning via quantum-train

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:11.501959Z

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Observation 565277d2-ad13-4909-a42a-0d486ec72e77 · outbound

This paper cites Quantum-train long short-term memory: Application on flood prediction problem.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum-train long short-term memory: Application on flood prediction problem

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:11.201664Z

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Observation dfd410a2-6dea-4741-8536-155d9dd8d7c9 · outbound

This paper cites Quantum-train with tensor network mapping model and distributed circuit ansatz.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantum-train with tensor network mapping model and distributed circuit ansatz

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:10.901139Z

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Observation 9b89a1f9-b963-47c4-a4eb-1fdefe62b6fe · outbound

This paper cites Quantumnas: Noise-adaptive search for robust quantum circuits.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quantumnas: Noise-adaptive search for robust quantum circuits

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:10.501805Z

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Observation 5587da40-099f-42de-af29-40500cc61c5b · outbound

This paper cites Language models are unsupervised multitask learners.

Hybrid Parameterized Quantum States for Variational Quantum Learning Language models are unsupervised multitask learners

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:06.565632Z

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Observation 9c9df36a-0196-495b-8ce7-1c6403dea6da · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Hybrid Parameterized Quantum States for Variational Quantum Learning Gemma 2: Improving Open Language Models at a Practical Size

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:06.675310Z

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Observation 9a3aabe1-2d72-4626-8b48-d25005dfc6b5 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Hybrid Parameterized Quantum States for Variational Quantum Learning Lora: Low-rank adaptation of large language models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:06.798126Z

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Observation da31048d-c8a8-4495-b865-bc92ef56726d · outbound

This paper cites A quantum circuit- based compression perspective for parameter-efficient learning.

Hybrid Parameterized Quantum States for Variational Quantum Learning A quantum circuit- based compression perspective for parameter-efficient learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:10.155527Z

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Observation 65d58291-af63-47fc-b0a6-12a8a0f3b0ac · outbound

This paper cites Federated quantum-train with batched parameter gen- eration.

Hybrid Parameterized Quantum States for Variational Quantum Learning Federated quantum-train with batched parameter gen- eration

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:09.852827Z

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Observation bec38195-8c0d-4c5f-a652-8bf2f70989db · outbound

This paper cites Automatic differentiation in pytorch.

Hybrid Parameterized Quantum States for Variational Quantum Learning Automatic differentiation in pytorch

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:07.023571Z

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Observation 6e7ea6cf-6e8f-49df-a957-c3a958c696e6 · outbound

This paper cites Mnist handwritten digit database.

Hybrid Parameterized Quantum States for Variational Quantum Learning Mnist handwritten digit database

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:07.119899Z

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Observation 121261b2-e98e-4d03-aeab-2b05b8b64772 · outbound

This paper cites Pointer sentinel mixture models, 2016.

Hybrid Parameterized Quantum States for Variational Quantum Learning Pointer sentinel mixture models, 2016

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:07.220630Z

Source-reported events for the cited work

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Observation a5972228-54de-499e-9738-358e953c4c2c · outbound

This paper cites Supervised learning with tensor networks.

Hybrid Parameterized Quantum States for Variational Quantum Learning Supervised learning with tensor networks

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:09.505489Z

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Observation ba8fee28-a204-4b49-b328-7a4d75b5f089 · outbound

This paper cites Torchmps.

Hybrid Parameterized Quantum States for Variational Quantum Learning Torchmps

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:09.199541Z

Source-reported events for the cited work

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Observation 1d7c6c21-13e4-4865-906d-c6dd9241079c · outbound

This paper cites Variational quantum algorithms.

Hybrid Parameterized Quantum States for Variational Quantum Learning Variational quantum algorithms

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:07.471777Z

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Observation d0b6cf20-ca66-4844-a7e5-b80b4b9ebad3 · outbound

This paper cites Quanvolutional neural networks: powering image recognition with quantum circuits.

Hybrid Parameterized Quantum States for Variational Quantum Learning Quanvolutional neural networks: powering image recognition with quantum circuits

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:09.002256Z

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Observation e76b54fa-ab49-4cdc-bbb5-a255ed02643f · outbound

This paper cites Transfer learning in hybrid classical-quantum neural networks.

Hybrid Parameterized Quantum States for Variational Quantum Learning Transfer learning in hybrid classical-quantum neural networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:08.886661Z

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 e2cf7fa2-e9ea-4afd-9377-ec906bdc4326 · outbound

This paper cites Supervised learning with quantum enhanced feature spaces.

Hybrid Parameterized Quantum States for Variational Quantum Learning Supervised learning with quantum enhanced feature spaces

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:08.757360Z

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 3629a4f6-9abd-4ae1-95ee-8f1e432f6c5b · outbound

This paper cites Learning-based quantum error mitigation.

Hybrid Parameterized Quantum States for Variational Quantum Learning Learning-based quantum error mitigation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:08.557194Z

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Observation 47836f4a-ba0f-4dfb-8816-88dd14174b9f · outbound

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

Hybrid Parameterized Quantum States for Variational Quantum Learning Evidence for the utility of quantum computing before fault tolerance

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:02:08.378424Z

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