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

Solving discrete NP-hard problems is an important part of scientific discoveries and
operations research as well as many commercial applications. A commonly used metric to …

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 …

In this paper, we introduce HamilToniQ, an open-source, and application-oriented
benchmarking toolkit for the comprehensive evaluation of Quantum Processing Units …

Quantum computing has the potential to surpass the capabilities of current classical
computers when solving complex problems. Combinatorial optimization has emerged as …

Several benchmarks have been proposed to holistically measure quantum computing
performance. While some have focused on the end user's perspective (eg, in application …

Recent work [Sachdeva et al.] presented an iterative hybrid quantum variational optimization
algorithm designed by Q-CTRL and executed on IBM gate-based quantum processing units …

The rapid pace of development in quantum computing technology has sparked a
proliferation of benchmarks for assessing the performance of quantum computing hardware …

Improvement in Quantum Computing (QC) performance will allow us to solve a wide range
of complex problems that classical computers of today can't handle. Nowadays we feel …