Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems | Paper Citation Record

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This paper cites Strong np- hardness of ac power flows feasibility.Operations Re- search Letters, 47(6):494–501, 2019.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Strong np- hardness of ac power flows feasibility.Operations Re- search Letters, 47(6):494–501, 2019

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This paper cites The unit commit- ment problem with ac optimal power flow constraints.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems The unit commit- ment problem with ac optimal power flow constraints

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This paper cites Global solution strategies for the network-constrained unit commitment problem with ac transmission constraints.IEEE Transactions on Power Systems, 34(2):1139–1150, 2018.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Global solution strategies for the network-constrained unit commitment problem with ac transmission constraints.IEEE Transactions on Power Systems, 34(2):1139–1150, 2018

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This paper cites Solutions of dc opf are never ac feasible.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Solutions of dc opf are never ac feasible

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This paper cites An misocp-based de- composition approach for the unit commitment problem with ac power flows.IEEE Transactions on Power Sys- tems, 38(4):3388–3400, 2022.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems An misocp-based de- composition approach for the unit commitment problem with ac power flows.IEEE Transactions on Power Sys- tems, 38(4):3388–3400, 2022

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This paper cites Convex relaxation of optimal power flow—part i: Formulations and equivalence.IEEE Trans- actions on Control of Network Systems, 1(1):15–27, 2014.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Convex relaxation of optimal power flow—part i: Formulations and equivalence.IEEE Trans- actions on Control of Network Systems, 1(1):15–27, 2014

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This paper cites A survey of relax- ations and approximations of the power flow equations.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A survey of relax- ations and approximations of the power flow equations

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Ac network-constrained unit commitment via relax- ation and decomposition.IEEE Transactions on Power Systems, 37(3):2187–2196, 2021

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This paper cites Sequential relaxation of unit commitment with ac transmission constraints.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Sequential relaxation of unit commitment with ac transmission constraints

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This paper cites Managing power balance and reserve feasibility in the ac unit commitment problem.Electric Power Systems Research, 234:110670, 2024.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Managing power balance and reserve feasibility in the ac unit commitment problem.Electric Power Systems Research, 234:110670, 2024

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This paper cites Quantum algorithm for linear systems of equations.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum algorithm for linear systems of equations

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This paper cites Variational quantum linear solver.Quantum, 7:1188, 2023.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Variational quantum linear solver.Quantum, 7:1188, 2023

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Observation a4d7c8ec-c43c-4e39-b10e-ca7cd5bb2055 · outbound

This paper cites Quantum Computing Solution of DC Power Flow.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum Computing Solution of DC Power Flow

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This paper cites Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers

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This paper cites A hybrid quantum algorithm for load flow.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A hybrid quantum algorithm for load flow

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This paper cites Quantum-enhanced dc optimal power flow.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum-enhanced dc optimal power flow

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This paper cites Optimal power flow solution via noise-resilient quantum interior-point methods.Electric Power Systems Research, 240:111216, 2025.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Optimal power flow solution via noise-resilient quantum interior-point methods.Electric Power Systems Research, 240:111216, 2025

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This paper cites Quantum algorithms for optimal power flow.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum algorithms for optimal power flow

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This paper cites A Quantum Approximate Optimization Algorithm.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A Quantum Approximate Optimization Algorithm

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This paper cites Quantum annealing: An overview.Philo- sophical Transactions of the Royal Society A: Mathemat- ical, Physical and Engineering Sciences, 381(2241), 2023.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum annealing: An overview.Philo- sophical Transactions of the Royal Society A: Mathemat- ical, Physical and Engineering Sciences, 381(2241), 2023

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum computing for energy systems optimization: Challenges and oppor- tunities.Energy, 179:76–89, 2019

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This paper cites Adapting quantum approximation optimization algorithm (qaoa) for unit commitment.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Adapting quantum approximation optimization algorithm (qaoa) for unit commitment

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This paper cites A hybrid classical-quantum approach to highly constrained Unit Commitment problems.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A hybrid classical-quantum approach to highly constrained Unit Commitment problems

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This paper cites A survey on applications of quantum computing for unit commitment.arXiv preprint arXiv:2601.01777, 2026.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A survey on applications of quantum computing for unit commitment.arXiv preprint arXiv:2601.01777, 2026

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Hybrid quantum- classical unit commitment

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Dc optimal power flow in unit commitment using quantum computing: An admm approach

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This paper cites Quantum distributed unit commitment: An application in microgrids.IEEE transactions on power systems, 37(5):3592–3603, 2022.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum distributed unit commitment: An application in microgrids.IEEE transactions on power systems, 37(5):3592–3603, 2022

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This paper cites Novel resolution of unit commitment problems through quantum surrogate lagrangian relaxation.IEEE Transactions on Power Systems, 38(3):2460–2471, 2022.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Novel resolution of unit commitment problems through quantum surrogate lagrangian relaxation.IEEE Transactions on Power Systems, 38(3):2460–2471, 2022

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A Review of Variational Quantum Algorithms: Insights into Fault-Tolerant Quantum Computing

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Warm-starting quantum optimization.Quantum, 5:479, 2021

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Warm-started qaoa with custom mixers provably converges and computationally beats goemans-williamson’s max-cut at low circuit depths

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Alignment between initial state and mixer im- proves qaoa performance for constrained optimization

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Creating superpositions that correspond to efficiently integrable probability distributions

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Transformation of quantum states us- ing uniformly controlled rotations.arXiv preprint quant- ph/0407010, 2004

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Synthesis of quantum logic circuits

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Ef- ficient sparse state preparation via quantum walks.npj Quantum Information, 11(1):143, 2025

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A matching decomposition algorithm for simulating quantum walk Hamiltonians

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Decomposition of sparse amplitude permutation gates with application to preparation of sparse clustered quantum states.Quantum Information Processing, 25(1):31, 2026

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems From the quantum approximate optimization algorithm to a quantum alternating operator ansatz.Algorithms, 12(2):34, 2019

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Con- straint preserving mixers for the quantum approximate optimization algorithm.Algorithms, 15(6):202, 2022

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Grover mixers for qaoa: Shifting complexity from mixer design to state preparation

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Partitioned-Constraint QAOA (PC-QAOA): Structural State Preparation and Penalty Enforcement for Quantum Optimization

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Wright.Numerical Opti- mization

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum approximate optimization algorithm with random and subgraph phase operators

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A new hy- brid quantum-classical algorithm for solving the unit commitment problem

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Predict-and- optimize robust unit commitment with statistical guar- antees via weight combination.IEEE Transactions on Power Systems, 2025

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Mixed Integer Programming to Globally Minimize the Economic Load Dispatch Problem With Valve-Point Effect

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Concentration Inequalities: A Nonasymptotic Theory of Independence

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Enabling research through the SCIP optimization suite 8.0.ACM Transactions on Mathematical Software, 49(2):1–21, 2023

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Smac3: A versatile bayesian optimization package for hy- perparameter optimization.Journal of Machine Learning Research, 23(54):1–9, 2022

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Multivariate stochastic approximation us- ing a simultaneous perturbation gradient approximation

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Simultaneous perturbation stochastic ap- proximation of the quantum fisher information.Quan- tum, 5:567, 2021

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Casadi—a software framework for non- linear optimization and optimal control.Mathematical Programming Computation, 11(1):1–36, 2018

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Observation 7940de89-24da-4a9a-b7cb-cc3d367d8eb6 · outbound

This paper cites On the im- plementation of an interior-point filter line-search algo- rithm for large-scale nonlinear programming.Mathemat- ical programming, 106(1):25–57, 2006.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems On the im- plementation of an interior-point filter line-search algo- rithm for large-scale nonlinear programming.Mathemat- ical programming, 106(1):25–57, 2006

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Observation ef244663-bd45-42dc-9358-2d4cc5f982e7 · outbound

This paper cites A quan- tum engineer’s guide to superconducting qubits.Applied physics reviews, 6(2), 2019.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A quan- tum engineer’s guide to superconducting qubits.Applied physics reviews, 6(2), 2019

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Observation 92e787a1-e927-49d6-bf64-0829e12ab9b2 · outbound

This paper cites Trapped-ion quantum computing: Progress and challenges.Applied physics reviews, 6(2), 2019.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Trapped-ion quantum computing: Progress and challenges.Applied physics reviews, 6(2), 2019

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Observation b0af70bb-62f2-4933-9323-b302e25e70f9 · outbound

This paper cites On Performance and Limitations of NISQ Hardware for Simulations of Quantum Wave Packet Dynamics.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems On Performance and Limitations of NISQ Hardware for Simulations of Quantum Wave Packet Dynamics

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Observation d605f7da-0fb0-437c-8161-97b5b0facc40 · outbound

This paper cites Performance anal- ysis of multi-angle qaoa for p>1.Scientific Reports, 14(1):18911, 2024.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Performance anal- ysis of multi-angle qaoa for p>1.Scientific Reports, 14(1):18911, 2024

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Observation 29b421b9-35f8-4962-8194-cd2f185e5a41 · outbound

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Training saturation in layerwise quantum approximate optimization.Physical Review A, 104(3):L030401, 2021

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Parameter trans- fer for quantum approximate optimization of weighted maxcut.ACM Transactions on Quantum Computing, 4(3):1–15, 2023

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Observation f96c9b5d-6847-41b1-8510-418771867970 · outbound

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Similarity- 16 based parameter transferability in the quantum approxi- mate optimization algorithm.Frontiers in Quantum Sci- ence and Technology, 2:1200975, 2023

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Observation ea9cc756-98b0-4a53-ae9c-5040bb053816 · outbound

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Data-driven quantum approximate optimization algorithm for power systems

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Observation 524cf50e-7188-4a69-8d7f-53c549bda8dc · outbound

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum approximate optimization algorithm: Performance, mechanism, and implementation on near-term devices.Physical Review X, 10(2):021067, 2020

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Observation cf68b017-faa4-4435-97ab-f61dd3abbb6f · outbound

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Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum annealing initialization of the quantum approximate optimization algorithm.quantum, 5:491, 2021

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Observation 83914b55-5da4-4715-8dc9-c078652433a5 · outbound

This paper cites A depth-progressive initialization strategy for quantum approximate optimization algo- rithm.Mathematics, 11(9):2176, 2023.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A depth-progressive initialization strategy for quantum approximate optimization algo- rithm.Mathematics, 11(9):2176, 2023

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Observation b7af86a5-813d-4db6-b587-0fb927531733 · outbound

This paper cites SAFE ma-QAOA: Surrogate-Assisted and Fine-Tuning Enhanced Multi-Angle QAOA with Parameter Distillation.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems SAFE ma-QAOA: Surrogate-Assisted and Fine-Tuning Enhanced Multi-Angle QAOA with Parameter Distillation

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Observation 76514b10-c152-4f7b-9cf6-391724c6cf5b · outbound

This paper cites Multi-angle quan- tum approximate optimization algorithm.Scientific Re- ports, 12(1):6781, 2022.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Multi-angle quan- tum approximate optimization algorithm.Scientific Re- ports, 12(1):6781, 2022

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Observation 9876b898-7cf8-484a-953b-6c8d0aa54f30 · outbound

This paper cites Iterative layer- wise training for the quantum approximate optimization algorithm.Physical Review A, 109(5):052406, 2024.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Iterative layer- wise training for the quantum approximate optimization algorithm.Physical Review A, 109(5):052406, 2024

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Observation 9ffa642b-6917-4fcb-af6d-5c60b6278701 · outbound

This paper cites A cyclic layerwise qaoa train- ing.arXiv preprint arXiv:2601.20029, 2026.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A cyclic layerwise qaoa train- ing.arXiv preprint arXiv:2601.20029, 2026

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Observation f93adc8d-dac5-4fab-9732-c51735247166 · outbound

This paper cites Quantum speedup of branch- and-bound algorithms.Physical Review Research, 2(1):013056, 2020.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Quantum speedup of branch- and-bound algorithms.Physical Review Research, 2(1):013056, 2020

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Observation 9b760958-8291-4c11-a083-9bf1cea7f958 · outbound

This paper cites Benders’ decomposition of the unit commitment problem with semidefinite relaxation of ac power flow constraints.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Benders’ decomposition of the unit commitment problem with semidefinite relaxation of ac power flow constraints

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Observation f20735e4-af81-43a5-a9ce-3ceac4049686 · outbound

This paper cites Integer programming using a single atom.Quantum sci- ence and technology, 9(4):045016, 2024.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Integer programming using a single atom.Quantum sci- ence and technology, 9(4):045016, 2024

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Observation d1c7b2aa-003e-4063-b906-1d1ed62d1ca2 · outbound

This paper cites Qudit-based scalable quantum algorithm for solving the integer programming problem.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Qudit-based scalable quantum algorithm for solving the integer programming problem

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Observation 160f9efc-7441-4f45-9b39-d8ee7cfc6b14 · outbound

This paper cites an unresolved cited work.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems Unresolved cited work

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