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Distributed quantum computing models: Study of architectures and models for the distribution of quantum computing tasks across multiple quantum nodes
1 Department of Computer Science, North Carolina State University, Raleigh NC, United States.
2 Department of Computer Science, Columbia University, New York NY, United States.
Research Article
International Journal of Science and Research Archive, 2024, 13(02), 3719-3723.
Article DOI: 10.30574/ijsra.2024.13.2.2602
Publication history:
Received on 09 November 2024; revised on 24 December 2024; accepted on 27 December 2024
Abstract:
The exploration of distributed quantum computing (DQC) represents a significant frontier in quantum information science, aiming to harness the unique properties of quantum mechanics to solve complex computational problems effectively. This paper discusses the diverse architectures and models that facilitate the distribution of quantum computing tasks across multiple quantum nodes, thereby addressing the limitations inherent in single quantum devices. DQC systems exploit the principles of superposition and entanglement to enhance computational capabilities beyond what classical computing systems can achieve.
We examine various DQC architectures, including both quantum-classical hybrid systems and fully quantum distributed systems, highlighting their respective benefits and challenges. Key issues such as coherence, communication overhead, and error correction are discussed in detail, and we analyze specific use cases where DQC demonstrates superior performance relative to classical computing approaches, including optimization problems in logistics and finance, as well as quantum simulations for material science. Furthermore, we identify future research directions aimed at overcoming existing barriers to the practical implementation of DQC systems. By assessing the current landscape and future possibilities of DQC, this paper underscores the transformative potential of distributed quantum computing in various fields, paving the way for realizing more complex quantum algorithms and applications.
Keywords:
Distributed Quantum Computing; Quantum Algorithms; Quantum Simulation; Quantum Communication; Error Correction; Quantum Networks
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
