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 …

The rapid pace of development in quantum computing technology has sparked a
proliferation of benchmarks to assess the performance of quantum computing hardware and …

Our world, of course, changed in many other ways as well since the publication of the first
edition. The global pandemic impacted all areas of society and will probably transform how …

We estimate the resources required in the fusion-based quantum computing scheme to
simulate electrolyte molecules in Li-ion batteries on a fault-tolerant, photonic quantum …

The simulation of chemistry is among the most promising applications of quantum
computing. However, most prior work exploring algorithms for block encoding, time evolving …

There is a pressing need to develop new rechargeable battery technologies that can offer
higher energy storage, faster charging, and lower costs. Despite the success of existing …

We present an algorithm that uses block encoding on a quantum computer to exactly
construct a Krylov space, which can be used as the basis for the Lanczos method to estimate …

Quantum algorithms for simulating electronic ground states are slower than popular
classical mean-field algorithms such as Hartree–Fock and density functional theory but offer …

Stop** power is the rate at which a material absorbs the kinetic energy of a charged
particle passing through it—one of many properties needed over a wide range of …

First-quantized, grid-based methods for chemistry modeling are a natural and elegant fit for
quantum computers. However, it is infeasible to use today's quantum prototypes to explore …