Quantum Challenges for Computing

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

Supraja Ayyamgari, Bala Yashwanth Reddy Thumma, Chaitanya Tumma +1 more

Quantum Computing, which is considered as the combination of both quantum physics and computer science, is exciting a global wave of research and technology that is positioned to radically overhaul in addressing computational problems. However, quantum computers obtain their exponential computational power using yet other distinct quantum phenomena, including superposition, entanglement, and quantum tunneling, precisely in situations involving cryptography, optimization and quantum simulation. Yet, since fulfilling these challenges involves robust error correction, scalable qubit architectures and efficient quantum algorithms, practical quantum computing has tremendous promise and is quite challenging to achieve. This paper presents an overview of the basics of quantum computing tracing its origins in theory, the transition to modern hardware and software, the current state of quantum computing including challenges and issues, and an exploration of future of quantum computing

Habiba Drias, Farouk Yalaoui

Satish Bhambri

Quantum computing and cloud computing are two giants for futuristic computing. Both technologies complement each other. Quantum clouds, therefore, is deploying the resources of quantum computation in a cloud environment to provide solution to the challenges and problems faced by present model of classical cloud computation. State of the art challenges faced by the cloud such as VM migration, data security, traffic management can be addressed by the quantum principles. But the merging of these two technologies have challenges of their own which need to be addressed before moving forward. What are those challenges and how does a quantum computer solve the cloud problems? The relation among quantum parallelism, superposition and flash crowd effect; Laundauer's principle and energy management; photon polarization principle and data security; these fascinating queries are addressed in the paper.