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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   +7 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

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, Davide Vodola, Edoardo Tignone, Elisa Ercolessi   +3 more
doaj   +3 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

Quantum Approximate Optimization With Parallelizable Gates

IEEE Transactions on Quantum Engineering, 2020
The quantum approximate optimization algorithm (QAOA) has been introduced as a heuristic digital quantum computing scheme to find approximate solutions of combinatorial optimization problems. We present a scheme to parallelize this approach for arbitrary
Wolfgang Lechner
doaj   +3 more sources

Similarity-based parameter transferability in the quantum approximate optimization algorithm

Frontiers in Quantum Science and Technology, 2023
The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization.
Alexey Galda, Alexey Galda, Eesh Gupta, Eesh Gupta, Jose Falla, Jose Falla, Xiaoyuan Liu, Xiaoyuan Liu, Danylo Lykov, Yuri Alexeev, Ilya Safro   +10 more
doaj   +3 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

QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits

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.
Tyagin, Ilya, Farag, Marwa H., Sherbert, Kyle, Shirali, Karunya, Alexeev, Yuri, Safro, Ilya   +5 more
openaire   +4 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