Results 11 to 20 of about 5,709 (252)
Quantum approximate optimization algorithm with adaptive bias fields
Physical Review Research, 2022 The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wave function into one that encodes a solution to a difficult classical optimization problem.
Yunlong Yu +5 more
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A review on Quantum Approximate Optimization Algorithm and its variants
Physics ReportsThe Quantum Approximate Optimization Algorithm (QAOA) is a highly promising variational quantum algorithm that aims to solve combinatorial optimization problems that are classically intractable. This comprehensive review offers an overview of the current state of QAOA, encompassing its performance analysis in diverse scenarios, its applicability across
Kostas Blekos, Alessandro Summer
exaly +4 more sources
Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
Algorithms, 2022 The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems.
Franz Georg Fuchs +4 more
doaj +3 more sources
IET Quantum CommunicationThis study investigates the application of quantum algorithms, specifically the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA), to design optimal sensor configurations for beamforming, enhancing signal ...
Bidisha Dhara +2 more
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On the universality of the quantum approximate optimization algorithm [PDF]
Quantum Information Processing, 2020 AbstractThe quantum approximate optimization algorithm (QAOA) is considered to be one of the most promising approaches towards using near-term quantum computers for practical application. In its original form, the algorithm applies two different Hamiltonians, called the mixer and the cost Hamiltonian, in alternation with the goal being to approach the ...
Mauro E. S. Morales +2 more
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Analog quantum approximate optimization algorithm
Quantum Science and Technology, 2022 Abstract We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The central idea of this algorithm is to optimize the schedule function, which defines the adiabatic evolution.
Nancy Barraza +5 more
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Shortcuts to the quantum approximate optimization algorithm
Physical Review A, 2022 The Quantum Approximate Optimization Algorithm (QAOA) is a quantum-classical hybrid algorithm intending to find the ground state of a target Hamiltonian. Theoretically, QAOA can obtain the approximate solution if the quantum circuit is deep enough. Actually, the performance of QAOA decreases practically if the quantum circuit is deep since near-term ...
Yahui Chai +5 more
openaire +2 more sources
Quantum Local Search with the Quantum Alternating Operator Ansatz [PDF]
Quantum, 2022 We present a new hybrid, local search algorithm for quantum approximate optimization of constrained combinatorial optimization problems. We focus on the Maximum Independent Set problem and demonstrate the ability of quantum local search to solve large ...
Teague Tomesh +2 more
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Optimal Protocols in Quantum Annealing and Quantum Approximate Optimization Algorithm Problems [PDF]
Physical Review Letters, 2021 Quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA) are two special cases of the following control problem: apply a combination of two Hamiltonians to minimize the energy of a quantum state. Which is more effective has remained unclear.
Lucas T. Brady +4 more
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Entanglement perspective on the quantum approximate optimization algorithm
Physical Review A, 2022 12 pages, 7 ...
Maxime Dupont +4 more
openaire +5 more sources