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 …

The great promise of quantum computers comes with the dual challenges of building them
and finding their useful applications. We argue that these two challenges should be …

We improve the quality of quantum circuits on superconducting quantum computing
systems, as measured by the quantum volume (QV), with a combination of dynamical …

Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is
extremely challenging to solve numerically. Finding the ground state of the Hubbard model …

The circuit model of a quantum computer consists of sequences of gate operations between
quantum bits (qubits), drawn from a universal family of discrete operations. The ability to …

Recent work has deployed linear combinations of unitaries techniques to reduce the cost of
fault-tolerant quantum simulations of correlated electron models. Here, we show that one …

Simulating the dynamics of large quantum systems is a formidable yet vital pursuit for
obtaining a deeper understanding of quantum mechanical phenomena. While quantum …

Efficiently entangling pairs of qubits is essential to fully harness the power of quantum
computing. Here, we devise an exact protocol that simultaneously entangles arbitrary pairs …

Variational quantum algorithms have shown promise in numerous fields due to their
versatility in solving problems of scientific and commercial interest. However, leading …