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The quantum approximate optimization algorithm (QAOA) was originally proposed to find approximate solutions to combinatorial optimization problems on quantum computers. However, the algorithm has also attracted interest for sampling purposes since it was
Pablo Díez-Valle +2 more
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Convergence of digitized-counterdiabatic QAOA: circuit depth versus free parameters
Recently, digitized-counterdiabatic (CD) quantum approximate optimization algorithm (QAOA) has been proposed to make QAOA converge to the solution of an optimization problem in fewer steps, inspired by Trotterized CD driving in continuous-time quantum ...
Mara Vizzuso +3 more
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Restricted global optimization for QAOA
The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising variational quantum algorithm for addressing NP-hard combinatorial optimization problems.
Peter Gleißner +2 more
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The quantum approximate optimization algorithm (QAOA) is a promising algorithm for solving combinatorial optimization problems (COPs), with performance governed by variational parameters $${\{{\gamma }_{i},{\beta }_{i}\}}_{i = 0}^{p-1}$$ { γ i , β i } i =
J. A. Montañez-Barrera +1 more
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Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]
Engelsberger A +2 more
europepmc +1 more source
Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut. [PDF]
Lee X +7 more
europepmc +1 more source
Quantum approximate multi-objective optimization. [PDF]
Kotil A +6 more
europepmc +1 more source
Multiclass portfolio optimization via variational quantum Eigensolver with Dicke state ansatz. [PDF]
Scursulim JVS +3 more
europepmc +1 more source
Generalized Probabilistic Approximate Optimization Algorithm. [PDF]
Abdelrahman AS +3 more
europepmc +1 more source

