Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth | Paper Citation Record

Observation c0b1862b-c523-4161-9670-34298cdbaf02 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth A Quantum Approximate Optimization Algorithm

Reference 1

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This paper cites Qaoa for max-cut requires hundreds of qubits for quantum speed-up.Scientific reports, 9(1):6903, 2019.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Qaoa for max-cut requires hundreds of qubits for quantum speed-up.Scientific reports, 9(1):6903, 2019

Reference 2

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This paper cites an unresolved cited work.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Unresolved cited work

Reference 3

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This paper cites What limits the simulation of quantum computers?PRX, 10(4):041038, 2020.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth What limits the simulation of quantum computers?PRX, 10(4):041038, 2020

Reference 4

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Observation 505e950b-d54a-4c6e-a72a-f631e4c5f897 · outbound

This paper cites Multilevel combi- natorial optimization across quantum architectures.ACM Transactions on Quantum Computing, 2(1):1–29, 2021.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Multilevel combi- natorial optimization across quantum architectures.ACM Transactions on Quantum Computing, 2(1):1–29, 2021

Reference 5

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Observation 31df1108-4c6d-4712-9936-6d3a24faf80e · outbound

This paper cites Multigrid solvers and multilevel optimiza- tion strategies.Multilevel optimization in VLSICAD, pages 1–69, 2003.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Multigrid solvers and multilevel optimiza- tion strategies.Multilevel optimization in VLSICAD, pages 1–69, 2003

Reference 6

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This paper cites Mlqaoa: Graph learning ac- celerated hybrid quantum-classical multilevel qaoa.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Mlqaoa: Graph learning ac- celerated hybrid quantum-classical multilevel qaoa

Reference 7

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Observation 226d466a-256e-435f-a38c-dda4e5e85a5f · outbound

This paper cites A multilevel approach for solving large-scale qubo problems with noisy hybrid quantum approximate optimization.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth A multilevel approach for solving large-scale qubo problems with noisy hybrid quantum approximate optimization

Reference 8

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This paper cites Expectation values from the single-layer quantum approximate optimization algorithm on ising problems.Quantum Science and Technology, 7(4):045036, 2022.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Expectation values from the single-layer quantum approximate optimization algorithm on ising problems.Quantum Science and Technology, 7(4):045036, 2022

Reference 9

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Observation 3fecedb2-ed73-4810-bc62-88612d6b4325 · outbound

This paper cites Extending relax-and-round combinatorial optimization solvers with quantum correlations.Physical Review A, 109(1):012429, 2024.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Extending relax-and-round combinatorial optimization solvers with quantum correlations.Physical Review A, 109(1):012429, 2024

Reference 10

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Observation b9464a5c-1d06-46dc-8488-b4090dcd1883 · outbound

This paper cites What works best when? a systematic evaluation of heuristics for max-cut and qubo.INFORMS Journal on Computing, 30(3):608–624, 2018.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth What works best when? a systematic evaluation of heuristics for max-cut and qubo.INFORMS Journal on Computing, 30(3):608–624, 2018

Reference 11

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Observation 6112d119-eb3c-442b-9187-e47e7ceb0b2f · outbound

This paper cites Optimization via quantum preconditioning.arXiv preprint arXiv:2502.18570, 2025.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Optimization via quantum preconditioning.arXiv preprint arXiv:2502.18570, 2025

Reference 12

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Observation 49211062-444e-42df-8b93-d9e4a5d561a7 · outbound

This paper cites Quantum computing: progress and prospects.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Quantum computing: progress and prospects

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Observation b96c4c1c-f5bc-45ac-92f8-4d696b151e34 · outbound

This paper cites Hybrid quantum-classical multilevel approach for maximum cuts on graphs.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Hybrid quantum-classical multilevel approach for maximum cuts on graphs

Reference 14

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Observation 71cc5929-6c45-4377-8d99-74fb25dd144c · outbound

This paper cites Algebraic distance on graphs.SIAM Journal on Scientific Computing, 33(6):3468–3490, 2011.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Algebraic distance on graphs.SIAM Journal on Scientific Computing, 33(6):3468–3490, 2011

Reference 15

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Observation 5e23b153-741a-45c2-afbe-d346ef483094 · outbound

This paper cites Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem.Science Advances, 10(22):eadm6761, 2024.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem.Science Advances, 10(22):eadm6761, 2024

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Observation 81307eb0-5c28-4e9f-97ea-e21c8a90b10a · outbound

This paper cites Quantum Supremacy through the Quantum Approximate Optimization Algorithm.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Quantum Supremacy through the Quantum Approximate Optimization Algorithm

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Observation 68a8fa66-e92c-4491-ad0f-d64e2d7e507e · outbound

This paper cites Improving quantum approximate optimization by noise- directed adaptive remapping.arXiv preprint arXiv:2404.01412, 2024.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Improving quantum approximate optimization by noise- directed adaptive remapping.arXiv preprint arXiv:2404.01412, 2024

Reference 18

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Observation c465579b-c78b-43ae-831e-c967b9e66687 · outbound

This paper cites End-to-end protocol for high-quality qaoa parameters with few shots.arXiv preprint arXiv:2408.00557, 2024.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth End-to-end protocol for high-quality qaoa parameters with few shots.arXiv preprint arXiv:2408.00557, 2024

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Observation d797552f-94cc-4640-9223-9c057176e232 · outbound

This paper cites Towards large-scale quantum optimization solvers with few qubits.Nature Communications, 16(1):476, 2025.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Towards large-scale quantum optimization solvers with few qubits.Nature Communications, 16(1):476, 2025

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Observation 2ebb2f10-1dc2-4cef-9ba6-d10bd259daf0 · outbound

This paper cites Approximate solutions of combinatorial problems via quantum relaxations.IEEE Transactions on Quantum Engineering, 2024.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Approximate solutions of combinatorial problems via quantum relaxations.IEEE Transactions on Quantum Engineering, 2024

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Observation 19f8a606-9168-45aa-86a7-3c8efae47b32 · outbound

This paper cites Qubit-efficient quantum combinatorial optimization solver.arXiv preprint:2407.15539, 2024.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Qubit-efficient quantum combinatorial optimization solver.arXiv preprint:2407.15539, 2024

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This paper cites Graph decom- position techniques for solving combinatorial optimization problems with variational quantum algorithms.Quantum Information Processing, 24(2):60, 2025.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Graph decom- position techniques for solving combinatorial optimization problems with variational quantum algorithms.Quantum Information Processing, 24(2):60, 2025

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Observation b803bafd-5916-4704-89b1-a2512c73ac19 · outbound

This paper cites Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing

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Observation 2e05eeb7-b982-4d5f-ac99-034a2c2f831b · outbound

This paper cites Large-scale quantum approximate optimization via divide-and-conquer.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Large-scale quantum approximate optimization via divide-and-conquer.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022

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This paper cites Divide and conquer for combinatorial optimization and distributed quantum computation.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Divide and conquer for combinatorial optimization and distributed quantum computation

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This paper cites Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization

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Observation 14fa96f3-d947-459b-9914-892a4c6d35cf · outbound

This paper cites Investigating the effect of circuit cutting in qaoa for the maxcut problem on nisq devices.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Investigating the effect of circuit cutting in qaoa for the maxcut problem on nisq devices

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Observation 2dcacad5-9b2d-4ac4-b35e-a0faf6fe063d · outbound

This paper cites Quantum circuit cutting with maximum-likelihood tomography.npj Quantum Information, 7(1):64, 2021.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Quantum circuit cutting with maximum-likelihood tomography.npj Quantum Information, 7(1):64, 2021

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Observation e73fd1df-95cc-4097-9cb5-6e982a45706a · outbound

This paper cites Benchmarking quan- tum optimization for the maximum-cut problem on a superconducting quantum computer.Physical Review Applied, 23(1):014045, 2025.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Benchmarking quan- tum optimization for the maximum-cut problem on a superconducting quantum computer.Physical Review Applied, 23(1):014045, 2025

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Observation 54cb2e0a-5c45-429b-a208-a8de61a84fb4 · outbound

This paper cites Training variational quantum algo- rithms is np-hard.Physical review letters, 127(12):120502, 2021.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Training variational quantum algo- rithms is np-hard.Physical review letters, 127(12):120502, 2021

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Observation d8f169d7-f1b0-4a4d-8e69-2156f726976b · outbound

This paper cites Barren Plateaus in Variational Quantum Computing.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Barren Plateaus in Variational Quantum Computing

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Observation 6c943e86-b009-4c70-a367-e93481c94f20 · outbound

This paper cites Trainability barriers in low-depth qaoa landscapes.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Trainability barriers in low-depth qaoa landscapes

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Observation 11e8b8f0-b70d-48fb-a453-4f0f4b4ef581 · outbound

This paper cites Multistart methods for quantum approximate optimization.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Multistart methods for quantum approximate optimization

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Observation e63020ed-2694-4aa2-b4dc-6a8e0b2b0544 · outbound

This paper cites Warm-starting quantum optimization.Quantum, 5:479, 2021.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Warm-starting quantum optimization.Quantum, 5:479, 2021

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This paper cites Parameter transfer for quantum approximate optimization of weighted maxcut.ACM Transactions on Quantum Computing, 4(3):1–15, 2023.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Parameter transfer for quantum approximate optimization of weighted maxcut.ACM Transactions on Quantum Computing, 4(3):1–15, 2023

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Observation 3b8910d0-f994-415d-be63-3084f66a7859 · outbound

This paper cites Similarity-based parameter transferability in the quantum approximate optimization algorithm.Frontiers in Quantum Science and Technology, 2:1200975, 2023.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Similarity-based parameter transferability in the quantum approximate optimization algorithm.Frontiers in Quantum Science and Technology, 2:1200975, 2023

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Observation 7cf77aef-75e8-4ce6-8e8b-c879b9896586 · outbound

This paper cites Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach

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Observation 1d3acecc-f045-4213-84b1-417ea86222eb · outbound

This paper cites An algorithm for finding best matches in logarithmic expected time.ACM Transactions on Mathematical Software (TOMS), 3(3):209–226, 1977.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth An algorithm for finding best matches in logarithmic expected time.ACM Transactions on Mathematical Software (TOMS), 3(3):209–226, 1977

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:11.668185Z

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Observation 57794792-aa8b-4487-8769-d94448ddfd7f · outbound

This paper cites Rank-two relax- ation heuristics for max-cut and other binary quadratic programs.SIAM Journal on Optimization, 12(2):503–521, 2002.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Rank-two relax- ation heuristics for max-cut and other binary quadratic programs.SIAM Journal on Optimization, 12(2):503–521, 2002

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Observation f551689b-99aa-494d-a4a6-3d332e420f33 · outbound

This paper cites Gset - a suite-style benchmark for graph processing systems.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Gset - a suite-style benchmark for graph processing systems

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Observation 610b977b-0acd-4eea-97a3-d1667a0a649f · outbound

This paper cites The university of florida sparse matrix collection.ACM TOMS, 38(1):1–25, 2011.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth The university of florida sparse matrix collection.ACM TOMS, 38(1):1–25, 2011

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Observation f996c2d1-c7a9-4c37-bc84-f6d282dfbb08 · outbound

This paper cites Pygad: An intuitive genetic algorithm python library.Multimedia tools and applications, 83(20):58029–58042, 2024.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Pygad: An intuitive genetic algorithm python library.Multimedia tools and applications, 83(20):58029–58042, 2024

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Observation f51c932f-d068-4ccf-9a3b-2be3914bf46f · outbound

This paper cites Randomized heuristics for the max-cut problem.Optimization methods and software, 17(6):1033–1058, 2002.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Randomized heuristics for the max-cut problem.Optimization methods and software, 17(6):1033–1058, 2002

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:11.591024Z

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Observation 84b14b82-6eee-4d1c-99bf-114ffa9317a3 · outbound

This paper cites A low-level hybridization between memetic algorithm and vns for the max-cut problem.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth A low-level hybridization between memetic algorithm and vns for the max-cut problem

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:57:11.573439Z

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Observation 9ec4e823-5190-4ea0-a0b0-9ce3e32d929a · outbound

This paper cites Diversification-driven tabu search for unconstrained binary quadratic problems.4OR, 2010.

Solving Large-Scale QUBO with Transferred Parameters from Multilevel QAOA of low depth Diversification-driven tabu search for unconstrained binary quadratic problems.4OR, 2010

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