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 …

Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …

Quantum simulation of the electronic structure problem is one of the most researched
applications of quantum computing. The majority of quantum algorithms for this problem …

Simulating quantum mechanics is known to be a difficult computational problem, especially
when dealing with large systems. However, this difficulty may be overcome by using some …

Quantum computing and simulations are creating transformative opportunities by exploiting
the principles of quantum mechanics in new ways to generate and process information. It is …

The subject of quantum computing brings together ideas from classical information theory,
computer science, and quantum physics. This review aims to summarize not just quantum …

Discretizing spacetime is often a natural step towards modelling physical systems. For
quantum systems, if we also demand a strict bound on the speed of information propagation …

Experimentally, secure quantum key distribution has been tested, using polarization or
phase of photons, for distance of 150 (200) km using standard optical fibres and for the …

The Schwinger model (quantum electrodynamics in 1+ 1 dimensions) is a testbed for the
study of quantum gauge field theories. We give scalable, explicit digital quantum algorithms …

The difficulty of simulating quantum systems, well known to quantum chemists, prompted the
idea of quantum computation. One can avoid the steep scaling associated with the exact …