In this paper, we propose a novel and powerful method to harness Bayesian optimization for
variational quantum eigensolvers (VQEs)-a hybrid quantum-classical protocol used to …

Quantum computing is an emerging technology with potentially far-reaching implications for
national prosperity and security. Understanding the timeframes over which economic …

This paper introduces a structure-inspired ansatz for addressing quadratic unconstrained
binary optimization problems with the Variational Quantum Eigensolver. We propose a novel …

Protein folding, which traces the protein three-dimensional (3D) structure from its amino acid
sequence, is a half-a-century-old problem in biology. The function of the protein correlates …

With constant improvements of quantum hardware and quantum algorithms, quantum
advantage comes within reach. Parallel to the development of the computer at the end of the …

Quantum optimization algorithms (QOAs) have the potential to fundamentally transform the
application of optimization methods in decision making. For certain classes of optimization …

This article describes how to solve Sudoku puzzles using Quadratic Unconstrained Binary
Optimization (QUBO). To this end, a QUBO instance with 729 variables is constructed …

Variational quantum algorithms have promising applications in noisy intermediate-scale
quantum (NISQ) devices. These algorithms rely on a classical optimization outer loop that …

This paper presents a hybrid quantum-classical approach to prime factorization. The
proposed algorithm is based on the Variational Quantum Eigensolver (VQE), which employs …

Variational quantum algorithms and, in particular, variants of the varational quantum
eigensolver have been proposed to address combinatorial optimization (CO) problems …