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BHT-QAOA: The Generalization of Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians [PDF]

Entropy
A 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
doaj   +5 more sources

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, McGregor K, Sandeep S, Haczku A.   +3 more
europepmc   +6 more sources

The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices [PDF]

Scientific Reports
The 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, Shane McFarthing, Ilya Sinayskiy, Daniel K. Park, Anban Pillay, Francesco Petruccione   +5 more
doaj   +2 more sources

Systematic study on the dependence of the warm-start quantum approximate optimization algorithm on approximate solutions [PDF]

Scientific Reports
Quantum approximate optimization algorithm (QAOA) is a promising hybrid quantum-classical algorithm to solve combinatorial optimization problems in the era of noisy intermediate-scale quantum computers.
Ken N. Okada, Hirofumi Nishi, Taichi Kosugi, Yu-ichiro Matsushita   +3 more
doaj   +2 more sources

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.
Koretsky, Samantha, Gokhale, Pranav, Baker, Jonathan M., Viszlai, Joshua, Zheng, Honghao, Gurung, Niroj, Burg, Ryan, Paaso, Esa Aleksi, Khodaei, Amin, Eskandarpour, Rozhin, Chong, Frederic T.   +10 more
openaire   +2 more sources

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
doaj   +1 more source

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
doaj   +1 more source

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, Tim Bode, Peter K. Schuhmacher, Tobias Stollenwerk, Dmitry Bagrets, Frank K. Wilhelm   +5 more
doaj   +1 more source

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, N. N. Hegade, K. Paul, F. Albarrán-Arriagada, E. Solano, A. del Campo, Xi Chen   +6 more
doaj   +1 more source

Quantum computational phase transition in combinatorial problems

npj Quantum Information, 2022
Quantum Approximate Optimization algorithm (QAOA) aims to search for approximate solutions to discrete optimization problems with near-term quantum computers.
Bingzhi Zhang, Akira Sone, Quntao Zhuang
doaj   +1 more source