In recent years, the interdisciplinary field of quantum computing has rapidly developed and
garnered substantial interest from both academia and industry due to its ability to process …

Training machine learning models on classical computers is usually a time and compute
intensive process. With Moore's law nearing its inevitable end and an ever-increasing …

In distributed quantum computing architectures, with the network and communications
functionalities provided by the Quantum Internet, remote quantum processing units can …

We present a quantum algorithm based on the generalized quantum master equation
(GQME) approach to simulate open quantum system dynamics on noisy intermediate-scale …

A scalable model for a distributed quantum computation is a challenging problem due to the
complexity of the problem space provided by the diversity of possible quantum systems, from …

Quantum computing is an emerging field of research that can provide a “quantum leap” in
terms of computing performance and thereby enable many new exciting healthcare …

Quantum computers, known to have the potential for exponential speedup in solving some
problems due to their superposition property, are expected to facilitate the solution of NP …

In this paper we propose a hybrid quantum-classical algorithm for dynamic portfolio
optimization with minimal holding period. Our algorithm is based on sampling the near …

Every quantum algorithm is represented by set of quantum circuits. Any optimization scheme
for a quantum algorithm and quantum computation is very important especially in the arena …

Secret sharing is a widely-used security protocol and cryptographic primitive in which all
people cooperate to restore encrypted information. The characteristics of a quantum field …