Call for Papers -- Intersection of Graph Theory and Information Theory in Quantum Computing

2024-08-26

This necessitates more exploration into the restructuring of scientific computational challenges into graph-theoretic problems in order to facilitate quick engineering modelling in the near future of quantum computing. Superficial scalars, such as area and boundaries, can be represented using individual variables in a graph according to the computational methods this thesis develops. Understanding, of course, a consistent account of connections requires an understanding of quantum field theory. A basic trade-off between localizability and detector reliability is implied by its architecture. The fundamental issues of quantum information theory are essentially new, despite being one of the most active and rapidly developing fields in science. Basically, throughout the beginning of quantum physics, these have been dear to the hearts of all those who are intrigued by its fundamentals. an introductory course covering many of the methods for mastering one-way quantum computations.

The difficulties in applying quantum algorithms to graph learning and the paths that may be taken in the future to develop more adaptable and powerful quantum graph learning algorithms. Regarding the ignoring of the spacetime dependency of quantum events, modern quantum information theory works with an idealised scenario. On the other hand, the movement and manipulation of quantum data occur physically within spacetime. Qubits, channels, composite systems, and entangled states are among the fundamental concepts in quantum information theory that should be defined in terms of both space and time. As an assortment of association coefficients in quantum field theory, a conventional stochastic interpretation is constructed. It is demonstrated that if one performs local observations, any suitable configuration in modern quantum field theory gets disentangled and factorizable across huge spacelike distances. The latest concept for computing, designated as quantum computing, has its roots in quantum physics. Significant advancements have been made, resulting in the development of several quantum-based algorithms that make use of quantum computing capabilities.

This is a straightforward introduction, mostly for geometers, to the theories of quantum information and quantum computation. Beyond the fundamentals, links with exponential representation theory in particular are of interest to geometers. Some of the initial applications of quantum computing technology have, as expected, been realised over the cloud, where users have logged into specialised gear via the traditional web. Using real quantum gear that is currently available online, we present several quantum information experiments in this special issue. To gain remote access to the device via the cloud in order to realise protocols in fault-tolerant computational methods such as quantum graph theory, quantum error mitigation, and quantum computing.

Papers could consider, but are not limited to:

  • Quantum system modelling using graph theory for information processing devices
  • A path towards quantum computing using quantum graph theory
  • A very quick overview of quantum information theory and quantum computing
  • An explanation of certain mathematical ideas of quantum information and quantum computing
  • Quantum sector graph models for qubit depiction: a unifying modelling theory
  • Visualising using optical graph theory on devices with low connection
  • Quantum computing for systematic information estimation in bioinformatics uses
  • Quantum computing development: theoretical and innovative management for the developing quantum industry
  • A programming theory in distributed quantum computation for Duality unitaries
  • Mobile network optimisation using quantum computing and artificial intelligence
  • Dynamical lattice field theory: applications to quantum computing and renormalization

 

Guest Editors:
Dr. Anas Bilal, College of Information Science and Technology, Hainan Normal University, Haikou, China
Dr.Muhammad Shafiq, School of Information Engineering, Qujing Normal University, Qujing, China
Dr. Zohaib Ahmed, Department of Criminology & Forensic Sciences Technology, Lahore Garrison University, Lahore, Pakistan

 

Special Issue Timeline:
Manuscript Submission Deadline: December 10, 2024
Authors Notification: February 20, 2025
Revised Papers Due: May 15, 2025
Final notification: July 25, 2025