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 is a game-changing technology for global academia, research centers
and industries including computational science, mathematics, finance, pharmaceutical …

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 …

Suppressing noise in physical systems is of fundamental importance. As quantum
computers mature, quantum error correcting codes (QECs) will be adopted in order to …

Achieving near-term quantum advantage will require accurate estimation of quantum
observables despite significant hardware noise. For this purpose, we propose a novel …

We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error
mitigation techniques can reduce the impact of noise on near-term quantum computers with …

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 …

One of the major challenges for erroneous quantum computers is undoubtedly the control
over the effect of noise. Considering the rapid growth of available quantum resources that …

We present a unified approach to analyzing the cost of various quantum error mitigation
methods on the basis of quantum estimation theory. By analyzing the quantum Fisher …

Estimating expectation values is a key subroutine in quantum algorithms. Near-term
implementations face two major challenges: a limited number of samples required to learn a …