Quantum computing as the emerging paradigm for scientific computing has attracted
significant research attention in the past decade. Quantum algorithms to solve the problems …

The advent of quantum computers, operating on entirely different physical principles and
abstractions from those of classical digital computers, sets forth a new computing paradigm …

A combinatorial optimization problem (COP) is the problem of finding the optimal solution in
a finite set. When the size of the feasible solution set is large, the complexity of the problem …

In this study, we developed a new method of topology optimization for truss structures by
quantum annealing. To perform quantum annealing analysis with real variables …

We define the quantum utility performance metric and three milestones, which define
quantum utility as measured in some limited context. Current and previous-generation …

As a crossover frontier of physics and mechanics, quantum computing is showing its great
potential in computational mechanics. However, quantum hardware noise remains a critical …

The distance-minimizing data-driven computational mechanics has great potential in
engineering applications by eliminating material modeling error and uncertainty. In this …

We introduce quantum utility, a new approach to evaluating quantum performance that aims
to capture the user experience by considering the overhead costs associated with a …

We propose a framework to solve non-linear and history-dependent mechanical problems
based on a hybrid classical computer–quantum annealer approach. Quantum Computers …

Quantum linear system algorithms (QLSAs) for gate-based quantum computing can provide
exponential speedups for linear systems of equations. The growth of the condition number …