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 computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subtyping …

Numerous quantum error-mitigation protocols have been proposed, motivated by the critical
need to suppress noise effects on intermediate-scale quantum devices. Yet, their general …

Abstract Variational Quantum Algorithms (VQAs) are often viewed as the best hope for near-
term quantum advantage. However, recent studies have shown that noise can severely limit …

Quantum computers have progressed towards outperforming classical supercomputers, but
quantum errors remain the primary obstacle. In the past few years, the field of quantum error …

We propose a general framework for quantum error mitigation that combines and
generalizes two techniques: probabilistic error cancellation (PEC) and zero-noise …

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

We demonstrate a postquench dynamics simulation of a Heisenberg model on present-day
IBM quantum hardware that extends beyond the coherence time of the device. This is …

There is currently no combination of quantum hardware and algorithms that can provide an
advantage over conventional calculations of molecules or materials. However, if or when …

Abstract The Algebraic Bethe Ansatz (ABA) is a highly successful analytical method used to
exactly solve several physical models in both statistical mechanics and condensed-matter …