Quantum Computing: Vision and Challenges

Dr Sukhpal Singh Gill
2 min readApr 4, 2024

--

Highlights

  • Present roadmap and outlook for quantum computing research.
  • Explore potential applications of quantum computing including modern cryptography.
  • Discuss quantum software and hardware research for industrial quantum computers.
  • Analyse benefits of integrating everything using recent advances in quantum computing.
  • Highlight emerging trends and research challenges of quantum computing.

Abstract

The recent development of quantum computing, which makes use of entanglement, superposition, and other quantum fundamental concepts, has the ability to provide substantial processing advantages over traditional computing. These quantum features help solve many hard problems that cannot be solved with traditional computing methods. These problems are in areas like modeling quantum mechanics, logistics, making chemical-based advances, designing drugs, statistical science, sustainable energy, banking, reliable communication, and quantum chemical engineering. The last few years have witnessed remarkable advancements in quantum software and algorithm creation as well as quantum hardware research, which have significantly advanced the prospect of the realization of quantum computers. It would be helpful to have comprehensive literature research on this area to grasp the current status and find outstanding problems that require considerable attention from the research community working in the quantum computing industry. To better understand quantum computing, this paper examines the foundations and vision based on current research in this area. We discuss cutting-edge developments in quantum computer hardware advancement, and subsequent advances in quantum cryptography, quantum software, and high-scalability quantum computers. Many potential challenges and exciting new trends for quantum technology research and development are highlighted in this paper for a wider debate.

Figure 1: Applications and Benefits of Quantum Computing

How to Cite it !!

Sukhpal Singh Gill, Oktay Cetinkaya, Stefano Marrone, Daniel Claudino, David Haunschild, Leon Schlote, Huaming Wu, Carlo Ottaviani, Xiaoyuan Liu, Sree Pragna Machupalli, Kamalpreet Kaur, Priyansh Arora, Ji Liu, Ahmed Farouk, Houbing Herbert Song, Steve Uhlig, Kotagiri Ramamohanarao, Quantum Computing: Vision and Challenges, arXiv preprint arXiv:2403.02240 (2024). Link: https://arxiv.org/abs/2403.02240

--

--

Dr Sukhpal Singh Gill
Dr Sukhpal Singh Gill

Written by Dr Sukhpal Singh Gill

Dr. Gill is Assistant Professor in Queen Mary University of London. He is Associate Editor in Elsevier IoT, Wiley ETT & IET Networks. W: https://www.ssgill.me.

No responses yet