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Innovations in Intelligent Systems and Applications Conference (ASYU)

A Novel Approach to the Implementation of Cloud-Based Quantum Programming Platforms in VR Environment

Hasan Genc, Serkan Aydın, Hasan Erdal

Published Oct 15, 2020• 4 citations
Publisher

Abstract

Quantum computers are becoming more and more powerful and practical each day with the perfection of the coherence time of superposition states and in terms of fidelity, error correction, power dissipation, and noise. Quantum computers have been used successfully in the solution of non-deterministic polynomial-time problems for a while. Using quantum algorithms to find ways to speed up the computing of some hard problems reveals a concept called quantum supremacy. With the improvement of quantum computers and a decrease in error rates, companies that develop quantum computers have offered cloud-based platforms to make their computers publicly available and to be programmed via the web. The cloud programming approach likewise influenced the programming of quantum computers. Here, we present that it is possible to use these platforms with VR sets, which are now becoming widespread in the field of education, and we try to introduce which tools are used in quantum cloud programming.

DOI
10.1109/asyu50717.2020.9259850

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Quantum computers are becoming more and more powerful and practical each day with the perfection of the coherence time of superposition states and in terms of fidelity, error correction, power dissipation, and noise. Quantum computers have been used successfully in the solution of non-deterministic polynomial-time problems for a while. Using quantum algorithms to find ways to speed up the computing of some hard problems reveals a concept called quantum supremacy. With the improvement of quantum computers and a decrease in error rates, companies that develop quantum computers have offered cloud-based platforms to make their computers publicly available and to be programmed via the web. The cloud programming approach likewise influenced the programming of quantum computers. Here, we present that it is possible to use these platforms with VR sets, which are now becoming widespread in the field of education, and we try to introduce which tools are used in quantum cloud programming.
Abstract Quantum computing leverages fundamental quantum-mechanical phenomena—most notably superposition, entanglement, and quantum tunneling—to perform computations in ways that differ fundamentally from classical digital processing. Compared to conventional computing architectures, quantum systems promise significant reductions in computational time and potentially lower energy consumption for specific classes of problems. These advantages, combined with advances in nanoscale engineering and the slowing of traditional hardware scaling trends such as Moore’s Law, have led to substantial commercial and national-security-driven investments in quantum technologies over the past decade. A major milestone was reached when Google announced the experimental demonstration of “quantum supremacy,” showing that a quantum processor could execute a specific computational task infeasible for a classical supercomputer within practical time constraints. Although the demonstrated problem had no immediate practical application, this achievement marked a crucial step toward the development of quantum systems capable of delivering real-world computational advantages and provided a more precise technical framing of the concept of quantum advantage. Despite the fact that the mathematical foundations, programming models, and principal quantum algorithms were established in the 1990s, quantum computing remained largely confined to a specialized research community for decades. Today, the increasing accessibility of cloud-based quantum hardware calls for a broader dissemination of implementation-oriented knowledge among researchers and practitioners in computer science, software engineering, and related fields. The quantum programming paradigm differs fundamentally from classical programming models and often relies on physical and algebraic notations that may pose barriers to traditionally trained computer scientists. This series of articles provides a self-contained and concise introduction to quantum computing and its core algorithms, with a strong emphasis on practical implementation. Given that real quantum processors—such as those accessible via the IBM quantum ecosystem—are now available as cloud services, experimental validation can be conducted both on simulators and on actual hardware for small-scale inputs. While other platforms such as Rigetti and IonQ also offer cloud-based quantum computing services, this review focuses exclusively on the IBM quantum computing ecosystem.
Quantum computers are becoming real, and they have the inherent potential to significantly impact many application domains. We sketch the basics about programming quantum computers, showing that quantum programs are typically hybrid consisting of a mixture of classical parts and quantum parts. With the advent of quantum computers in the cloud, the cloud is a fine environment for performing quantum programs. The tool chain available for creating and running such programs is sketched. As an exemplary problem we discuss efforts to implement quantum programs that are hardware independent. A use case from machine learning is outlined. Finally, a collaborative platform for solving problems with quantum computers that is currently under construction is presented.
\n Quantum computers are becoming real, and they have the inherent\n potential to significantly impact many application domains. We\n sketch the basics about programming quantum computers, showing that\n quantum programs are typically hybrid consisting of a mixture of\n classical parts and quantum parts. With the advent of quantum\n computers in the cloud, the cloud is a fine environment for\n performing quantum programs. The tool chain available for creating\n and running such programs is sketched. As an exemplary problem we\n discuss efforts to implement quantum programs that are hardware\n independent. A use case from machine learning is outlined. Finally,\n a collaborative platform for solving problems with quantum computers\n that is currently under construction is presented.\n
Quantum computers are expected to offer an effect similar to the influence of the early integrated circuit computers. According to current systems, it is predicted that they will play an effective role in the emergence of a stronger technology with an increasing speed. Some high-tech companies have quantum computer designs that they actively put into use from the research and development phase to the problem-solving phase and these computers use different architectures. Unlike the others, IBM launched a cloud-based software infrastructure in 2016 and first introduced its 5-qubit quantum computer, which consists of sequential quantum ports architecture, to the use of researchers and interested parties via its web servers. Programming is done by using quantum gates via a web interface called quantum composer. Significant progress has also been made in virtual reality technologies and virtual reality based browser platforms have been developed. In this paper, studies on the using and training of the IBM quantum composer platform through a browser designed on the basis of virtual reality are presented.
Abstract Quantum computation based on quantum physics is spreading rapidly with many interdisciplinary studies from machine learning to genetics. After the unveiling of real quantum computers, this process has been rising almost exponentially. We are about to experience an effect with quantum computers similar to the effect created by the process from the first electromechanical computers to very large‐scale integrated circuit computers. In the programming of quantum computers, we are in a similar place to programming classical computers at an early stage. There are various models in quantum computing, and the most widely used model is quantum gates. Therefore, an easy and practical understanding of the behavior of the gates used in the programming of quantum computers is of great importance. To realize this process, a virtual reality (VR)‐based teaching platform of quantum computer programming called QU‐VR Education Tool was designed by using Unity 3D VR. In the creation of this design, IBM's so‐called Quantum Composer platform and Microsoft Quantum Katas were taken as a reference. In this study, the design process and usage of a novel VR‐based platform are presented in detail.
Quantum computing introduces abstract concepts such as superposition, entanglement, and quantum circuits and algorithms, which many learners find difficult to grasp without strong mathematics or physics backgrounds. This paper proposes the use of virtual reality (VR) to support the teaching of introductory quantum computing. By situating learners in an immersive environment, VR allows students to explore and manipulate visual representations of the qubit and quantum gates, and observe state changes in real-time. The paper outlines how VR settings can foster deeper understanding through sandbox interactivity with visualized abstractions of quantum computing concepts.