A review on quantum approximate optimization algorithm and its variants
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …
variational quantum algorithm that aims to solve combinatorial optimization problems that …
Optimization applications as quantum performance benchmarks
Combinatorial optimization is anticipated to be one of the primary use cases for quantum
computation in the coming years. The Quantum Approximate Optimization Algorithm and …
computation in the coming years. The Quantum Approximate Optimization Algorithm and …
Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
We develop a hardware-efficient ansatz for variational optimization, derived from existing
ansatzes in the literature, that parametrizes subsets of all interactions in the cost Hamiltonian …
ansatzes in the literature, that parametrizes subsets of all interactions in the cost Hamiltonian …
Performance analysis of multi-angle QAOA for
In this paper we consider the scalability of multi-angle QAOA with respect to the number of
QAOA layers. We found that MA-QAOA is able to significantly reduce the depth of QAOA …
QAOA layers. We found that MA-QAOA is able to significantly reduce the depth of QAOA …
Quantum approximate optimization: A computational intelligence perspective
Quantum computing is an emerging field on the multidisciplinary interface between physics,
engineering, and computer science with the potential to make a large impact on …
engineering, and computer science with the potential to make a large impact on …
An expressive ansatz for low-depth quantum optimisation
The Quantum Approximate Optimisation Algorithm (QAOA) is a hybrid quantum-classical
algorithm used to approximately solve combinatorial optimisation problems. It involves …
algorithm used to approximately solve combinatorial optimisation problems. It involves …
Exploring the neighborhood of 1-layer QAOA with instantaneous quantum polynomial circuits
We embed 1-layer QAOA circuits into the larger class of parametrized instantaneous
quantum polynomial circuits to produce an improved variational quantum algorithm for …
quantum polynomial circuits to produce an improved variational quantum algorithm for …
Reinforcement learning for variational quantum circuits design
Variational Quantum Algorithms have emerged as promising tools for solving optimization
problems on quantum computers. These algorithms leverage a parametric quantum circuit …
problems on quantum computers. These algorithms leverage a parametric quantum circuit …
[HTML][HTML] Solving the Independent Domination Problem by the Quantum Approximate Optimization Algorithm
H Pan, C Lu - Entropy, 2024 - mdpi.com
In the wake of quantum computing advancements and quantum algorithmic progress,
quantum algorithms are increasingly being employed to address a myriad of combinatorial …
quantum algorithms are increasingly being employed to address a myriad of combinatorial …
Simulation of a feedback-based algorithm for quantum optimization for a realistic neutral-atom system with an optimized small-angle controlled-phase gate
In contrast to the classical optimization process required by the quantum approximate
optimization algorithm, FALQON, a feedback-based algorithm for quantum optimization [AB …
optimization algorithm, FALQON, a feedback-based algorithm for quantum optimization [AB …