The rapid pace of development in quantum computing technology has sparked a
proliferation of benchmarks to assess the performance of quantum computing hardware and …

The promised industrial applications of quantum computers often rest on their anticipated
ability to perform accurate, efficient quantum chemical calculations. Computational drug …

In recent years, research in quantum computing has largely focused on two approaches:
near-term intermediate-scale quantum (NISQ) computing and future fault-tolerant quantum …

In this paper, we present a superpolynomial improvement in the precision scaling of
quantum simulations for coupled quantum-classical systems. Such systems are found in, eg …

The computational cost of quantum algorithms for physics and chemistry is closely linked to
the spectrum of the Hamiltonian, a property that manifests in the necessary rescaling of its …

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

We present the first hardware implementation of electrostatic interaction energies by using a
trapped-ion quantum computer. As test system for our computation, we focus on the …

Computational cost of energy estimation for molecular electronic Hamiltonians via quantum
phase estimation (QPE) grows with the difference between the largest and smallest …

There is a pressing need for more accurate computational simulations of the optoelectronic
properties of defects in materials to aid in the development of quantum sensing platforms. In …

Classical shadow tomography has become a powerful tool in learning about quantum states
prepared on a quantum computer. Recent works have used classical shadows to …