Quantum computing was proposed to simulate processes that surpass the capabilities of its counterpart, classical computing. Utilizing the principles of quantum mechanics, it improves the computing power of quantum computing. Top developers namely IBM, Rigetti, D-Wave, Qutech and Google have invested greatly in the technology. Nowadays, users can access the quantum computing system publicly over the network in a cloud environment, this system architecture is known as cloud-based quantum computing. However, different developers deliver different architecture and functionality of the system on their platforms. This has indirectly spawned a question of which cloud-based quantum computing platform is a better option based on certain specific requirements by an individual or group. The main objective of this study is to provide a proposed framework using the existing cloud-based service of quantum computing based on previous studies for users with their specific demands.
Quantum computing was proposed to simulate processes that surpass the capabilities of its counterpart, classical computing. Utilizing the principles of quantum mechanics, it improves the computing power of quantum computing. Top developers namely IBM, Rigetti, D-Wave, Qutech and Google have invested greatly in the technology. Nowadays, users can access the quantum computing system publicly over the network in a cloud environment, this system architecture is known as cloud-based quantum computing. However, different developers deliver different architecture and functionality of the system on their platforms. This has indirectly spawned a question of which cloud-based quantum computing platform is a better option based on certain specific requirements by an individual or group. The main objective of this study is to provide a proposed framework using the existing cloud-based service of quantum computing based on previous studies for users with their specific demands.
A cloud quantum computer is a quantum computer that can be accessed in a cloud environment through a network. Today, there are numbers of cloud quantum computing services that can be accessed by users. They are used to solve complex problems that require powerful computing. Different cloud quantum computing services deliver different architecture and performances. In our study, we conducted a research on some services to test and evaluate the performances of different cloud quantum computing services and make a comparison out of it. The test will be conducted using two different methods such as visual programming and qiskit. From the result, we can see that the amount of qubit per backend and shots per run pretty much affect the execution time of a cloud quantum computing. This test will give the users some insight and enables them to decide which cloud quantum computing services deliver better performance or faster execution time based on the specification each cloud quantum computer offers.
Abstract Quantum computing is one of the most advanced technologies of the 21st century that, by utilizing the principles of quantum mechanics, provides the ability to process complex problems in much less time than classical systems. However, access to quantum hardware is limited for most researchers and organizations due to high cost and technical challenges. Quantum Cloud Computing provides a new solution for remote access to this advanced computing power. This article reviews the fundamental concepts of quantum computing and its hybrid model with cloud computing, and analyzes existing architectures, infrastructures, benefits, and challenges. It also reviews active platforms such as IBM Quantum Experience, Amazon Braket, Microsoft Azure Quantum, and Google Quantum AI. It then discusses practical applications such as optimization, cryptography, chemical simulation, and quantum machine learning in the cloud. Challenges such as quantum noise, qubit limitations, security issues, and the need for standardization are also analyzed. The article concludes by examining the future of quantum computing in cloud environments, providing a summary table of key topics and up-to-date resources.
Today, major corporations such as IBM, Google, Microsoft, and Amazon are racing to build cloud quantum computers. They integrate quantum computers with cloud computing to create a system that can be accessible via a network without the need for quantum computing power in a cloud computing environment. The authors describe cloud quantum computing in this chapter and conduct research to compare cloud quantum computing providers across the globe. In this study, the authors look at the various cloud quantum computing options and the outcomes they provide. At the conclusion, each cloud quantum computing service will be compared based on its performance, amplitudes, times, and architecture. The study will primarily focus on IBM and Qutech cloud quantum computing technologies.
Quantum computing, a revolutionary technology that leverages the principles of quantum mechanics, is poised to transform industries with its potential to solve complex problems far beyond the capabilities of classical computers. As this technology matures, its integration with cloud computing offers exciting prospects for businesses and researchers alike. The cloud provides an accessible platform for harnessing quantum computing power, enabling organizations to explore and experiment without the need for costly quantum hardware. This synergy between quantum computing and the cloud democratizes access to cutting-edge technology, fostering innovation across fields such as cryptography, materials science, and artificial intelligence. As cloud providers like IBM, Google, and Microsoft invest in quantum services, the potential for groundbreaking advancements grows. However, challenges remain, including the need for specialized knowledge, developing practical quantum algorithms, and ensuring security in quantum-cloud environments. Despite these hurdles, the convergence of quantum computing and cloud technology is set to unlock new possibilities, offering scalable, on-demand quantum resources to a broader audience. This article delves into the future prospects of quantum computing in the cloud, exploring its potential impact on various industries, the technological advancements driving this integration, and the challenges that must be addressed to realize its full potential. With quantum computing on the horizon, the cloud may become the gateway to a new era of computational power, reshaping the landscape of innovation and problem-solving.
The integration of quantum computing into cloud services represents a revolutionary advancement in processing capabilities.Quantum computers, utilizing principles of quantum mechanics, offer unparalleled computational speeds, allowing cloud providers to deliver quantum processing units alongside traditional CPUs and GPUs.Accessible through Quantum Computing as a Service (QCaaS), this facilitates businesses and researchers in harnessing quantum power without substantial upfront investments.Hybrid cloud solutions seamlessly blend classical and quantum processing, opening new frontiers in optimization and cryptography.The integration accelerates quantum machine learning and supports global quantum research.Concurrently, cloud computing's elasticity and pay-as-you-go model attract businesses.This paper explores the reciprocal impact of quantum technology on cloud computing and vice versa, recognizing the rapid development of quantum technology.The study evaluates cloud quantum computing services, revealing key factors influencing execution time.This research provides insights for informed decision-making based on service specifications.
The convergence of quantum computing and cloud platforms represents a significant paradigm shift in the landscape of digital services, creating unprecedented opportunities for technological advancement. This article provides an extensive review of this integration, examining its technological underpinnings, the current state of commercial and public-sector services, emerging applications, and the persistent challenges that define its developmental trajectory. By synthesizing recent academic literature, detailed industry reports, and policy analyses, we explore the transition from theoretical concepts to practical, accessible quantum systems. We detail the progress made in the Noisy Intermediate-Scale Quantum (NISQ) era, marked by significant hardware advancements from leaders like IBM and Google, and the development of crucial error mitigation techniques that extend the utility of current processors. Key findings indicate that cloud access is the primary mechanism for democratizing quantum resources, accelerating research, and enabling the exploration of high-value use cases in sectors such as finance, pharmaceuticals, and manufacturing. Furthermore, we investigate the growing adoption by non-profit organizations to tackle complex social and environmental challenges. However, substantial hurdles related to quantum decoherence, hardware scalability, software architecture, and the quantum-classical interface remain. The discussion contextualizes these findings, highlighting the strategic importance of national policies, the industry's push towards fault-tolerant systems, and the long-term vision of hybrid quantum-classical supercomputing. We conclude that while the path to achieving full-scale, fault-tolerant quantum computing is long and complex, its integration with cloud infrastructure is the critical catalyst, paving the way for a new frontier in computational capability and societal problem-solving.