Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …

Machine learning (ML) has emerged as a formidable force for identifying hidden but
pertinent patterns within a given data set with the objective of subsequent generation of …

Quantum computers can in principle solve certain problems exponentially more quickly than
their classical counterparts. We have not yet reached the advent of useful quantum …

Highlights•Drug discovery is time consuming, expensive and experiences increasing
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …

We propose a hybrid classical-quantum digitized counterdiabatic algorithm to tackle the
protein-folding problem on a tetrahedral lattice. Digitized counterdiabatic quantum …

Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …

A central component of variational quantum algorithms (VQAs) is the state-preparation
circuit, also known as ansatz or variational form. This circuit is most commonly designed …

Molecular biology and biochemistry interpret microscopic processes in the living world in
terms of molecular structures and their interactions, which are quantum mechanical by their …