Quantum information technologies, on the one hand, and intelligent learning systems, on the
other, are both emergent technologies that are likely to have a transformative impact on our …

This article outlines our point of view regarding the applicability, state-of-the-art, and
potential of quantum computing for problems in finance. We provide an introduction to …

After a brief introduction to the principles and promise of quantum information processing,
the requirements for the physical implementation of quantum computation are discussed …

We study the performance of classical and quantum machine learning (ML) models in
predicting outcomes of physical experiments. The experiments depend on an input …

Quantum computers are designed to outperform standard computers by running quantum
algorithms. Areas in which quantum algorithms can be applied include cryptography, search …

The physics of quantum mechanics is the inspiration for, and underlies, quantum
computation. As such, one expects physical intuition to be highly influential in the …

Consider a Boolean function x: X→{0, 1} that partitions set X between its good and bad
elements, where a is good if x (a)= 1 and bad other-wise. Consider also a quantum …

Abstract The Fujisaki-Okamoto (FO) transformation (CRYPTO 1999 and Journal of
Cryptology 2013) turns any weakly secure public-key encryption scheme into a strongly (ie …

Quantum mechanics and information theory are among the most important scientific
discoveries of the last century. Although these two areas initially developed separately, it …

This concise, accessible text provides a thorough introduction to quantum computing-an
exciting emergent field at the interface of the computer, engineering, mathematical and …