Quantum Computing Challenges

Jozef Gruska

Chunming Qiao, Yangming Zhao, Gongming Zhao +1 more

Quantum Data Networking can significantly transform the landscape of quantum computing by enabling several small quantum computers (QCs) to form a distributed system to achieve the same computing power as a large quantum computer which is infeasible to build. However, this requires quantum state information, in the form of qubits, to be exchanged among multiple geographically distributed QCs, and there are many challenges associated with reliably transferring qubits from one QC to another efficiently. In this paper, we discuss various QDN design options, present main challenges and describe promising solutions to tackle the challenges.

Paul M. B. Vitanyi

Priyanka, Piyush Dhuliya, Deepak Singh Rana +2 more

With high density and high performance applications, classical CMOS technology's drawbacks may be addressed via a method called quantum computing. This research is attracting more and more scholarly/technically focused on core area of QC and attention on its challenges because to its potential to revolutionize the current computing environment. This paper looks/finds at the many technologies that support quantum computing and provides a brief overview of its fundamental concepts. The resources, which include quantum programming languages, simulators, hardware platforms, and software development kits, have made it possible to conduct cutting-edge research and explore the seemingly endless potential of quantum computing. It also covers the most recent developments, challenges that persist, ongoing progress, and possible futures applications and challenges in this quickly changing field.

Khushpreet Singh, Krishnanshu Bansal, Lakshay Dabas +1 more

The computational demands of modern power systems are increasing rapidly, posing significant challenges to conventional computing approaches. Traditional methods may not be sufficient to handle the scale and complexity of future power grid operations. In this context, quantum computing (QC) emerges as a potential next-generation solution to address these limitations. Empowered with the quantum mechanics principles such as qubits, superposition and entanglement, QC can be used to efficiently handle the complex computation problems of large-scale grids. Building on this potential, our paper reviews the existing research done in regard to QC applications in smart grids and classifies them on the basis of three core QC's advantages namely - optimization, big data forecasting and security. In the end, we discuss the current challenges associated with employing QC in smart grids.

Habiba Drias, Farouk Yalaoui