For quantum computers to successfully solve real-world problems, it is necessary to tackle
the challenge of noise: the errors that occur in elementary physical components due to …

Quantum computers can exploit a Hilbert space whose dimension increases exponentially
with the number of qubits. In experiment, quantum supremacy has recently been achieved …

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 …

Quantum computing technologies are making steady progress. This has opened new
opportunities for tackling problems whose complexity prevents their description on classical …

Quantum error mitigation (QEM) is vital for noisy intermediate-scale quantum (NISQ)
devices. While most conventional QEM schemes assume discrete gate-based circuits with …

Quantum materials exhibit a wide array of exotic phenomena and practically useful
properties. A better understanding of these materials can provide deeper insights into …

We investigate fully self-consistent multiscale quantum-classical algorithms on current
generation superconducting quantum computers, in a unified approach to tackle the …

We propose a scheme to restore spatial symmetry of Hamiltonian in the variational-quantum-
eigensolver (VQE) algorithm for which the quantum circuit structures used usually break the …

Quantum computers hold promise to improve the efficiency of quantum simulations of
materials and to enable the investigation of systems and properties that are more complex …

Quantum computing has shown great potential in various quantum chemical applications
such as drug discovery, material design, and catalyst optimization. Although significant …