Results 11 to 20 of about 2,321 (167)
Physical Review X, 2020 The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical variational algorithm designed to tackle combinatorial optimization problems.
Leo Zhou +4 more
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Classically Optimal Variational Quantum Algorithms
IEEE Transactions on Quantum Engineering, 2021 Hybrid quantum-classical algorithms, such as variational quantum algorithms (VQAs), are suitable for implementation on noisy intermediate-scale quantum computers.
Jonathan Wurtz, Peter Love
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Quantum Approximation for Wireless Scheduling
Applied Sciences, 2020 This paper proposes an application algorithm based on a quantum approximate optimization algorithm (QAOA) for wireless scheduling problems. QAOA is one of the promising hybrid quantum-classical algorithms to solve combinatorial optimization problems and ...
Jaeho Choi, Seunghyeok Oh, Joongheon Kim
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Physical Review Research, 2022 The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-classical algorithm that solves combinatorial optimization problems.
Linghua Zhu +6 more
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Classical Optimizers for Noisy Intermediate-Scale Quantum Devices [PDF]
, 2020 We present a collection of optimizers tuned for usage on Noisy Intermediate-Scale Quantum (NISQ) devices. Optimizers have a range of applications in quantum computing, including the Variational Quantum Eigensolver (VQE) and Quantum Approximate ...
De Jong, W +4 more
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Local classical MAX-CUT algorithm outperforms $p=2$ QAOA on high-girth regular graphs [PDF]
Quantum, 2021 The $p$-stage Quantum Approximate Optimization Algorithm (QAOA$_p$) is a promising approach for combinatorial optimization on noisy intermediate-scale quantum (NISQ) devices, but its theoretical behavior is not well understood beyond $p=1$.
Kunal Marwaha
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The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size [PDF]
Quantum, 2022 The Quantum Approximate Optimization Algorithm (QAOA) is a general-purpose algorithm for combinatorial optimization problems whose performance can only improve with the number of layers $p$.
Edward Farhi +3 more
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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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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 +10 more
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Reachability Deficits in Quantum Approximate Optimization of Graph Problems [PDF]
Quantum, 2021 The quantum approximate optimization algorithm (QAOA) has become a cornerstone of contemporary quantum applications development. Here we show that the $density$ of problem constraints versus problem variables acts as a performance indicator.
V. Akshay +3 more
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