Quantum Computing—An Emerging Computing Paradigm

Dr. T.Thirumalaikumari, R. Bagavathi Lakshmi, Dr.S.Jayashree +1 more

Quantum Computing and Emerging Computational Paradigms

Vansh Vansh

Shrinkhala Shinghai, Jyotir Moy Chatterjee

Shaukat Ali, Tao Yue

Since the invention of Quantum Computing (QC) in the 1980s, substantial claims about QC’s ability to solve computational problems of unparalleled complexity have emerged. However, forty years later, no significant real-world QC applications exist. Indeed, the availability of small-scale noisy quantum computers is to blame. Still, simultaneously, the programming of quantum computers is too close to quantum hardware, requiring software engineers with specialized backgrounds to build QC applications and limiting the maximum exploitation of QC’s potential. Thus, there is a need for an abstract yet intuitive quantum-oriented paradigm (QOP) for building QC applications, similar to the object-oriented paradigm established in the 1960s for classical computers that laid the foundations of modern programming and modeling languages for classical computers. Unfortunately, such a QC paradigm doesn’t exist. Thus, we foresee the need to build a novel QOP based on which future quantum programming and modeling languages shall be developed. Such QOP shall enable users with diverse backgrounds (e.g., computer scientists, software engineers, and physicists) to build QC applications cost-effectively, intuitively, and independently of low-level quantum mechanics characteristics (e.g., superposition and entanglement). This paper discusses the emerging work of QOP and presents research directions that the software engineering and programming communities can follow to build a successful QOP.

Edoardo Giusto, Santiago Núñez-Corrales, Phuong Cao +8 more

Quantum Computing (QC) offers the potential to enhance traditional High-Performance Computing (HPC) workloads by leveraging the unique properties of quantum computers, leading to the emergence of a new paradigm: HPC-QC. While this integration presents new opportunities, it also brings novel challenges, particularly in ensuring the dependability of such hybrid systems. This paper aims to identify integration challenges, anticipate failures, and foster a diverse co-design for HPC-QC systems by bringing together QC, cloud computing, HPC, and network security. The focus of this emerging inter-disciplinary effort is to develop engineering principles that ensure the dependability of hybrid systems, aiming for a more prescriptive co-design cycle. Our framework will help to prevent design pitfalls and accelerate the maturation of the QC technology ecosystem. Key aspects include building resilient HPC-QC systems, analyzing the applicability of conventional techniques to the quantum domain, and exploring the complexity of scaling in such hybrid systems. This underscores the need for performance-reliability metrics specific to this new computational paradigm.

Ms. Gaganpreet Kaur Dr. Mohammed Bakhtawar Ahmed