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 …

It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the
US decadal particle-physics community planning, and in fact until recently, this was not …

Reducing measurement errors in multiqubit quantum devices is critical for performing any
quantum algorithm. Here we show how to mitigate measurement errors by a classical …

Quantum computers are becoming increasingly accessible and may soon outperform
classical computers for useful tasks. However, qubit readout errors remain a substantial …

The utility of quantum computers for simulating lattice gauge theories is currently limited by
the noisiness of the physical hardware. Various quantum error mitigation strategies exist to …

Variational quantum algorithm (VQA), which is comprised of a classical optimizer and a
parameterized quantum circuit, emerges as one of the most promising approaches for …

Variational Quantum Algorithms (VQAs) are a promising application for near-term quantum
processors, however the quality of their results is greatly limited by noise. For this reason …

We present the quantum simulation of the frustrated quantum spin-1 2 antiferromagnetic
Heisenberg spin chain with competing nearest-neighbor (J 1) and next-nearest-neighbor (J …

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 …

Measurement errors limit the performance of near-term quantum computers and their
potential for practical application. However they are partly correctable after a calibration step …