Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver | Paper Citation Record

Observation a3e7ecee-7669-4c98-b4d1-75ddc100335f · outbound

This paper cites Noisy intermediate-scale quantum algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Noisy intermediate-scale quantum algorithms

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.823917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0210c7-31ae-4723-89a6-cbbafa0ee1b0 · outbound

This paper cites Variational quantum algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Variational quantum algorithms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.556975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 30a2b247-7b7d-4ce4-8d69-6306edfd5964 · outbound

This paper cites Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.836997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf0c7f8-5b33-4c4a-99c6-ca75943b04f5 · outbound

This paper cites Quantum Threat Timeline Report 2022.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Quantum Threat Timeline Report 2022

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.549579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b10d307c-fa79-4ebf-8ac0-1bd47d09c9d3 · outbound

This paper cites Progress towards practical quantum variational algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Progress towards practical quantum variational algorithms

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.844109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a7a199-ea54-4a49-ac33-db0ebffab19f · outbound

This paper cites Strategies for solving the Fermi-Hubbard model on near-term quantum com- puters.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Strategies for solving the Fermi-Hubbard model on near-term quantum com- puters

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.847580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6865f72e-77dc-4dc2-b457-2fbc821e47c1 · outbound

This paper cites Efficient quantum measurement of Pauli operators in the presence of finite sampling error.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Efficient quantum measurement of Pauli operators in the presence of finite sampling error

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.851081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65f04bec-5783-43f4-9a8b-c5d85fbb9734 · outbound

This paper cites Algorithms for optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Algorithms for optimization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.540406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation adfe1228-9d4e-44c9-82b2-dc558650e535 · outbound

This paper cites Essentials of Metaheuristics.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Essentials of Metaheuristics

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.531962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 56a67c31-7e23-489f-bcef-2b92125fbdc6 · outbound

This paper cites Numerical optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Numerical optimization

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:00:11.860192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f5c465-7fc2-4bfc-a4eb-c47e6e6fb0e3 · outbound

This paper cites An overview of gradient descent optimization algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver An overview of gradient descent optimization algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.863323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb8cdae-83fb-4a7c-9fab-65966d20b8cc · outbound

This paper cites Sequential minimal optimization for quantum- classical hybrid algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Sequential minimal optimization for quantum- classical hybrid algorithms

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.522958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eecce0dd-a944-4edf-88dc-b35caccb9545 · outbound

This paper cites A Jacobi Diagonalization and Anderson Acceleration Algorithm For Variational Quantum Algorithm Parameter Optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver A Jacobi Diagonalization and Anderson Acceleration Algorithm For Variational Quantum Algorithm Parameter Optimization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.869957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed15bc1b-b967-4cf6-a62a-fcb607b8cf98 · outbound

This paper cites Convergence of a block coordinate descent method for nondifferentiable minimiza- tion.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Convergence of a block coordinate descent method for nondifferentiable minimiza- tion

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:00:11.873538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7327b010-68ce-4948-8259-6cfa831a62b2 · outbound

This paper cites Structure optimization for pa- rameterized quantum circuits.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Structure optimization for pa- rameterized quantum circuits

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.876776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1b04ced-e948-4b31-a991-6a8d95594559 · outbound

This paper cites Quantum analytic descent.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Quantum analytic descent

Reference 16

Resolution: verified exact; doi, observed 2026-08-12T16:00:12.242813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 944673ca-8004-486a-ba12-a0732c725490 · outbound

This paper cites Quantum natural gradient.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Quantum natural gradient

Reference 17

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:00:11.882946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913acfac-2048-4525-a055-ce65352f6369 · outbound

This paper cites Using models to improve optimizers for variational quantum algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Using models to improve optimizers for variational quantum algorithms

Reference 18

Resolution: verified exact; doi, observed 2026-08-12T16:00:12.226654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee5f3ff7-8bd0-4bd7-9b75-9d5e7a69f700 · outbound

This paper cites Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver

Reference 19

Resolution: verified exact; doi, observed 2026-08-12T16:00:12.215720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f36b768-6319-4dcc-9232-632df0e28146 · outbound

This paper cites The variational quantum eigensolver: a review of methods and best practices.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver The variational quantum eigensolver: a review of methods and best practices

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.892881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4696e01a-11c2-4eb6-be31-8b8af78abba4 · outbound

This paper cites VQE method: a short survey and recent developments.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver VQE method: a short survey and recent developments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.896065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 946cd2cc-038e-4f35-a649-ec330f4649f4 · outbound

This paper cites Variational ansatz-based quantum simulation of imaginary time evolution.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Variational ansatz-based quantum simulation of imaginary time evolution

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.899394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68688235-0bf0-4a76-85cf-0151c052ad68 · outbound

This paper cites Classical optimizers for noisy intermediate-scale quantum devices.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Classical optimizers for noisy intermediate-scale quantum devices

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.902442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa7a75a-67e9-401f-9677-ef2465e3f409 · outbound

This paper cites https://scikit-quant.readthedocs.io/en/latest/.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver https://scikit-quant.readthedocs.io/en/latest/

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.513806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 607933d2-98ad-4b2d-b4dc-029912af737d · outbound

This paper cites Performance comparison of optimization methods on variational quantum algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Performance comparison of optimization methods on variational quantum algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.908097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d3c3d0f-7aff-436e-a58e-932c160c42f2 · outbound

This paper cites Optimizing quantum heuristics with meta-learning.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Optimizing quantum heuristics with meta-learning

Reference 26

Resolution: verified exact; doi, observed 2026-08-12T16:00:12.182513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 892e9d73-bea0-4d57-9b3c-8c3cfb92b815 · outbound

This paper cites Robust and efficient algorithms for high-dimensional black-box quantum optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Robust and efficient algorithms for high-dimensional black-box quantum optimization

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:00:12.172194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9666f933-09e9-4bfb-b244-7583d1854dde · outbound

This paper cites Performance of hybrid quantum-classical variational heuristics for combi- natorial optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Performance of hybrid quantum-classical variational heuristics for combi- natorial optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.918675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32ff15ae-61fd-4fd6-8fe4-9de1c791923f · outbound

This paper cites Practical optimization for hybrid quantum-classical algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Practical optimization for hybrid quantum-classical algorithms

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.921923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708a7517-9e12-41fc-b0a8-56773374a1db · outbound

This paper cites Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz

Reference 30

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T16:00:12.505067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de863878-b81e-463d-8156-b42b5db23988 · outbound

This paper cites Avoiding local minima in varia- tional quantum eigensolvers with the natural gradient optimizer.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Avoiding local minima in varia- tional quantum eigensolvers with the natural gradient optimizer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.928706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e7bc281-7a32-4e74-9fcb-e87506ccf14c · outbound

This paper cites Learning to learn with quantum neural networks via classical neural networks.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Learning to learn with quantum neural networks via classical neural networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.932047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eaa661f-e32e-4b3e-ad16-16fd8b5de12d · outbound

This paper cites Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.935335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b47639d-73cf-416b-a339-89557f98496d · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.938998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b217c13-3274-4faf-8872-571b955da989 · outbound

This paper cites General parameter-shift rules for quantum gradients.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver General parameter-shift rules for quantum gradients

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.942225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23335294-823a-46ef-b83c-34746d6325f6 · outbound

This paper cites Estimating the gradient and higher- order derivatives on quantum hardware.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Estimating the gradient and higher- order derivatives on quantum hardware

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.493689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f21adb8d-ca25-4ed6-8dd6-0ed0801147ea · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.949316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b95c1d5-5418-4444-90b8-627ef723f479 · outbound

This paper cites An overview of the simultaneous perturbation method for efficient optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver An overview of the simultaneous perturbation method for efficient optimization

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.483200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation de30aee6-566c-4630-ad02-cc8dd2a303f8 · outbound

This paper cites Implementation of the simultaneous perturbation algorithm for stochastic optimiza- tion.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Implementation of the simultaneous perturbation algorithm for stochastic optimiza- tion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.474134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a94278fa-36e2-4899-bc00-487c622a155b · outbound

This paper cites DEAP: Evolutionary Algorithms Made Easy.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver DEAP: Evolutionary Algorithms Made Easy

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.464075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 155f1ba9-dc1c-49c8-8e35-2f8d05268d2c · outbound

This paper cites Completely derandomized self-adaptation in evolu- tion strategies.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Completely derandomized self-adaptation in evolu- tion strategies

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.962130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9b55d6-b019-4a6c-9dcd-b592b728d2ab · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver The CMA Evolution Strategy: A Tutorial

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.965102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba335885-1218-4b10-9b3d-25f033eacdda · outbound

This paper cites Implementing the Nelder-Mead simplex algorithm with adaptive parameters.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Implementing the Nelder-Mead simplex algorithm with adaptive parameters

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.455406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e32808f3-685e-4ccf-85cc-c98bab9bf9c6 · outbound

This paper cites A simplex method for function minimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver A simplex method for function minimization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.972266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4f9b33-afad-4573-8bb0-2f6b5983d597 · outbound

This paper cites A direct search optimization method that models the objective and constraint func- tions by linear interpolation.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver A direct search optimization method that models the objective and constraint func- tions by linear interpolation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.975792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b63b9a39-f206-410a-8403-e8ee26b75adc · outbound

This paper cites A view of algorithms for optimization without derivatives.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver A view of algorithms for optimization without derivatives

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.445498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a85c7fc-b2f1-4835-9f5e-95438dd1e5ae · outbound

This paper cites On the natural gradient for variational quantum eigensolver.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver On the natural gradient for variational quantum eigensolver

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.982285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c679aa1-5a75-4308-a5eb-dfd39d1a231e · outbound

This paper cites Natural gradient works efficiently in learning.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Natural gradient works efficiently in learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.985452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b38a4b94-38f9-45bd-8074-f0e82368ff1d · outbound

This paper cites New insights and perspectives on the natural gradient method.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver New insights and perspectives on the natural gradient method

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.988955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3234cf49-fa72-4287-83ed-40c42e4c1954 · outbound

This paper cites Low-depth gradient measurements can improve conver- gence in variational hybrid quantum-classical algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Low-depth gradient measurements can improve conver- gence in variational hybrid quantum-classical algorithms

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.992312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d4f94d-2f56-4a47-8101-b6a6e1372441 · outbound

This paper cites On the momentum term in gradient descent learning algorithms.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver On the momentum term in gradient descent learning algorithms

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.996904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdf1d0d1-08f8-40a1-be8c-84aa7ae9ba32 · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver ADADELTA: An Adaptive Learning Rate Method

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:12.002391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d69eeff6-28e7-46ba-98d7-9ca173ca49ad · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Adaptive subgradient methods for online learning and stochastic optimization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:00:12.433427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9dcaa13e-b3cd-4238-b741-09d18f72b990 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Adam: A Method for Stochastic Optimization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:12.008790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95599cc7-485f-4f6f-8ef3-bff28e636e6f · outbound

This paper cites an unresolved cited work.

Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver Unresolved cited work

Reference 644

Resolution: unresolved; no resolver link, observed 2026-08-12T16:00:11.832412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers