The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …

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 …

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 …

Quantum computers can exploit a Hilbert space whose dimension increases exponentially
with the number of qubits. In experiment, quantum supremacy has recently been achieved …

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 …

One of the most promising suggested applications of quantum computing is solving
classically intractable chemistry problems. This may help to answer unresolved questions …

The variational method is a versatile tool for classical simulation of a variety of quantum
systems. Great efforts have recently been devoted to its extension to quantum computing for …

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

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 …