Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …

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 …

Noise in quantum computers can result in biased estimates of physical observables.
Accurate bias-free estimates can be obtained using probabilistic error cancellation, an error …

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 …

We present a method for mitigating measurement errors on quantum computing platforms
that does not form the full assignment matrix, or its inverse, and works in a subspace defined …

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 …

A significant problem for current quantum computers is noise. While there are many distinct
noise channels, the depolarizing noise model often appropriately describes average noise …

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

The superiority of variational quantum algorithms (VQAs) such as quantum neural networks
(QNNs) and variational quantum eigensolvers (VQEs) heavily depends on the expressivity …

Quantum algorithms have been developed for efficiently solving linear algebra tasks.
However, they generally require deep circuits and hence universal fault-tolerant quantum …