BHT-QAOA: The Generalization of Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians [PDF]
EntropyA new methodology is introduced to solve classical Boolean problems as Hamiltonians, using the quantum approximate optimization algorithm (QAOA). This methodology is termed the “Boolean-Hamiltonians Transform for QAOA” (BHT-QAOA). Because a great deal of
Ali Al-Bayaty, Marek Perkowski
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SP-A binding to the SARS-CoV-2 spike protein using hybrid quantum and classical in silico modeling and molecular pruning by Quantum Approximate Optimization Algorithm (QAOA) Based MaxCut with ZDOCK. [PDF]
Front Immunol, 2022 The pulmonary surfactant protein A (SP-A) is a constitutively expressed immune-protective collagenous lectin (collectin) in the lung. It binds to the cell membrane of immune cells and opsonizes infectious agents such as bacteria, fungi, and viruses through glycoprotein binding.
Aramyan S +3 more
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Bayesian Optimization for QAOA
IEEE Transactions on Quantum Engineering, 2023 The quantum approximate optimization algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems.
Simone Tibaldi +3 more
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The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices [PDF]
Scientific ReportsThe Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions for combinatorial optimization problems.
Aidan Pellow-Jarman +5 more
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2025 IEEE International Conference on Quantum Computing and Engineering (QCE)Quantum computing has the potential to improve our ability to solve certain optimization problems that are computationally difficult for classical computers, by offering new algorithmic approaches that may provide speedups under specific conditions.
Yuri Alexeev, Ilya Safro, Ilya Tyagin
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Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment [PDF]
2021 IEEE International Conference on Quantum Computing and Engineering (QCE), 2021 In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and apply such a hybrid quantum-classical algorithm to a power system optimization problem called Unit Commitment, which aims to satisfy a target power load at minimal cost.
Samantha Koretsky +10 more
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Quantum annealing initialization of the quantum approximate optimization algorithm [PDF]
Quantum, 2021 The quantum approximate optimization algorithm (QAOA) is a prospective near-term quantum algorithm due to its modest circuit depth and promising benchmarks.
Stefan H. Sack, Maksym Serbyn
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Mean-Field Approximate Optimization Algorithm
PRX Quantum, 2023 The quantum approximate optimization algorithm (QAOA) is suggested as a promising application on early quantum computers. Here a quantum-inspired classical algorithm, the mean-field approximate optimization algorithm (mean-field AOA), is developed by ...
Aditi Misra-Spieldenner +5 more
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Counterdiabaticity and the quantum approximate optimization algorithm [PDF]
Quantum, 2022 The quantum approximate optimization algorithm (QAOA) is a near-term hybrid algorithm intended to solve combinatorial optimization problems, such as MaxCut. QAOA can be made to mimic an adiabatic schedule, and in the $p\to\infty$ limit the final state is
Jonathan Wurtz, Peter J. Love
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Digitized-counterdiabatic quantum approximate optimization algorithm
Physical Review Research, 2022 The quantum approximate optimization algorithm (QAOA) has proved to be an effective classical-quantum algorithm serving multiple purposes, from solving combinatorial optimization problems to finding the ground state of many-body quantum systems.
P. Chandarana +6 more
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