Quantum computers are actively competing to surpass classical supercomputers, but
quantum errors remain their chief obstacle. The key to overcoming these on near-term …

Achieving near-term quantum advantage will require effective methods for mitigating
hardware noise. Data-driven approaches to error mitigation are promising, with popular …

Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in
noisy quantum computations without using additional quantum resources. We review the …

We apply quantum error mitigation (QEM) techniques to a variety of benchmark problems
and quantum computers to evaluate the performance of QEM in practice. To do so, we …

The detrimental effect of noise accumulates as quantum computers grow in size. In the case
where devices are too small or noisy to perform error correction, error mitigation may be …

Error mitigation is an essential component of achieving a practical quantum advantage in
the near term, and a number of different approaches have been proposed. In this work, we …

Current approaches to fault-tolerant quantum computation will not enable useful quantum
computation on near-term devices of 50 to 100 qubits. Leading proposals, such as the color …

A quantum error mitigation technique based on machine learning is proposed, which learns
how to adjust the probabilities estimated by measurement in the computational basis. Neural …

Using near-term quantum computers to achieve a quantum advantage requires efficient
strategies to improve the performance of the noisy quantum devices presently available. We …

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 …