As we begin to reach the limits of classical computing, quantum computing has emerged as
a technology that has captured the imagination of the scientific world. While for many years …

Digital quantum computers provide a computational framework for solving the Schrödinger
equation for a variety of many‐particle systems. Quantum computing algorithms for the …

Quantum computing promises to be the next disruptive technology, with numerous possible
applications and implications for organizations and markets. Quantum computers exploit …

Quantum simulations of chemistry in first quantization offer some important advantages over
approaches in second quantization including faster convergence to the continuum limit and …

Phase estimation is a quantum algorithm for measuring the eigenvalues of a Hamiltonian.
We propose and rigorously analyze a randomized phase estimation algorithm with two …

Quantum computing is emerging as a new computational paradigm with the potential to
transform several research fields including quantum chemistry. However, current hardware …

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

Quantum subspace methods (QSMs) are a class of quantum computing algorithms where
the time-independent Schrödinger equation for a quantum system is projected onto a …

Near-term quantum computers are expected to facilitate material and chemical research
through accurate molecular simulations. Several developments have already shown that …

Transcorrelated methods provide an efficient way of partially transferring the description of
electronic correlations from the ground-state wave function directly into the underlying …