Recent Advances in Quantum Computing

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Cloud Continuum and Enabled Applications".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 3871

Special Issue Editor


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Guest Editor
Faculty of Information Technology, University of Jyväskylä, P.O.Box 35, FI-40014 Jyväskylä, Finland
Interests: quantum computing; quantum computer architecture

Special Issue Information

The purpose of this Special Issue is to publish novel research in the domain of quantum computing. In recent years, quantum computing is gaining popularity due to its inherent ability to explore computational power and to establish the facts “physically about computation”. It has been observed that quantum computation provides more new ideas and exciting capabilities for increasing the efficiency of computation and information processing.  The nature of the quantum computation allows the machine to account for states that are not included only in binary states ‘0’ and ‘1’ but also other than these two states, generally known as qubits. The qubits are represented as abstract mathematical objects that are capable of formulating quantum computation and quantum information, which is more efficient than conventional computing. Therefore, researchers have explored quantum computing as a conventional computing alternative. The physical realization of the quantum-computing system is in progress, and many research groups have successfully implemented the quantum gates. However, the researchers are still focusing on the suitable quantum computing models that are capable of constructing the quantum circuit. Moreover, there is a close relation between quantum and reversible computing. More precisely, quantum computing operations are reversible. Additionally, with the increasing importance of the use of reversible and quantum circuits, testing of these circuits is necessary to ensure their performance reliability. Though quantum computation can be used in various promising areas, many challenges are remaining, such as handling the large qubits for controlling the software and hardware requirements, efficiently scaling the qubits for quantum networks and communication, developing quantum algorithms to handle many complex problems with less computational complexity, and so on. The main objective of this Special Issue on “Quantum Computing” is to focus on all the relevant topics, such as quantum algorithms and their applications, quantum simulation, quantum-computing systems, quantum information processing, quantum and reversible circuits, fault testing of reversible and quantum circuits, quantum network and communication, quantum programming languages, quantum cryptography and quantum-dot cellular automata.

The topics include but are not limited to the following:

  • Benchmarking quantum systems;
  • Distributed quantum computing;
  • Fault tolerant quantum reversible circuits;
  • Mapping and routing of quantum circuits;
  • Multivalued quantum design;
  • Model based design on quantum-computing system;
  • Online and offline testing of quantum/reversible circuits;
  • Quantum algorithms;
  • Quantum application mapping to the classical computing;
  • Quantum circuits;
  • Quantum communication;
  • Quantum complexity theory;
  • Quantum computing;
  • Quantum cryptography;
  • Quantum computation;
  • Quantum computer architecture;
  • Quantum cellular automata;
  • Quantum dot cellular automata;
  • Quantum information;
  • Quantum machine learning;
  • Quantum networks and communication;
  • Quantum programming;
  • Quantum simulators;
  • Quantum reversible hardware description languages;
  • Quantum reversible sequential circuit design;
  • Quantum reversible synthesis approaches;
  • Scalable quantum computer architecture;
  • Synthesis approaches for quantum reversible circuits.

Dr. Majid Haghparast
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • theory of quantum computation
  • quantum information
  • quantum simulation
  • quantum application mapping
  • quantum programming language
  • quantum networks and communication
  • quantum-computing systems
  • quantum circuits
  • quantum gates
  • testing of quantum reversible circuits
  • quantum reversible logic
  • fault models in reversible circuits
  • fault detection
  • fault localization
  • QCA
  • quantum algorithms

Published Papers (1 paper)

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Review

25 pages, 5171 KiB  
Review
Solving the Schrödinger Equation with Genetic Algorithms: A Practical Approach
by Rafael Lahoz-Beltra
Computers 2022, 11(12), 169; https://0-doi-org.brum.beds.ac.uk/10.3390/computers11120169 - 27 Nov 2022
Viewed by 2253
Abstract
The Schrödinger equation is one of the most important equations in physics and chemistry and can be solved in the simplest cases by computer numerical methods. Since the beginning of the 1970s, the computer began to be used to solve this equation in [...] Read more.
The Schrödinger equation is one of the most important equations in physics and chemistry and can be solved in the simplest cases by computer numerical methods. Since the beginning of the 1970s, the computer began to be used to solve this equation in elementary quantum systems, and, in the most complex case, a ‘hydrogen-like’ system. Obtaining the solution means finding the wave function, which allows predicting the physical and chemical properties of the quantum system. However, when a quantum system is more complex than a ‘hydrogen-like’ system, we must be satisfied with an approximate solution of the equation. During the last decade, application of algorithms and principles of quantum computation in disciplines other than physics and chemistry, such as biology and artificial intelligence, has led to the search for alternative techniques with which to obtain approximate solutions of the Schrödinger equation. In this work, we review and illustrate the application of genetic algorithms, i.e., stochastic optimization procedures inspired by Darwinian evolution, in elementary quantum systems and in quantum models of artificial intelligence. In this last field, we illustrate with two ‘toy models’ how to solve the Schrödinger equation in an elementary model of a quantum neuron and in the synthesis of quantum circuits controlling the behavior of a Braitenberg vehicle. Full article
(This article belongs to the Special Issue Recent Advances in Quantum Computing)
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