量子计算的进展:量子算法及其在物理学中的应用的全面回顾

Dr. Sushila Srivastava, Dr. Monika Malik, Shubham .
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引用次数: 0

摘要

量子计算是量子力学和计算机科学的创新融合,已经成为物理研究领域的一股变革力量。这篇全面的综述文章探讨了量子计算的进展,重点是量子算法及其在物理各个领域的应用。回顾开始介绍量子计算的基础知识,阐明量子比特,量子门和量子算法的原理。随后,文章深入研究了量子算法的最新进展,包括用于大数分解的short '算法、用于量子搜索的Grover'算法和用于模拟量子系统的量子相位估计。此外,本文还探讨了量子计算在物理学中的实际应用,包括复杂系统的量子模拟、量子化学计算和解决问题的量子优化。此外,本文还介绍了案例研究,展示了量子计算在特定物理应用中的实际含义。该综述还讨论了量子计算在物理学中的挑战和前景,包括量子误差缓解、硬件可扩展性和量子经典接口。还讨论了与量子计算的密码学影响、访问和负责任的开发相关的伦理和社会考虑。此外,本文还探讨了量子计算在物理学中的未来发展方向,从量子霸权到量子机器学习和量子引力。文章最后反思了量子计算在物理研究中的变革潜力,以及协作努力、跨学科研究和负责任发展在塑造量子技术未来中的重要性。总的来说,这篇全面的综述为物理学中量子计算的现状提供了宝贵的见解,并为解开宇宙之谜提供了令人兴奋的可能性。
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Advances in quantum computing: A comprehensive review of quantum algorithms and applications in physics
Quantum computing, an innovative fusion of quantum mechanics and computer science, has emerged as a transformative force in the field of physics research. This comprehensive review article explores the advancements in quantum computing, focusing on quantum algorithms and their applications in various areas of physics. The review begins with an introduction to the fundamentals of quantum computing, elucidating the principles of qubits, quantum gates, and quantum algorithms. Subsequently, the article delves into the latest developments in quantum algorithms, including Shor's algorithm for factoring large numbers, Grover's algorithm for quantum search, and quantum phase estimation for simulating quantum systems. Furthermore, the review explores the practical applications of quantum computing in physics, encompassing quantum simulations of complex systems, quantum chemistry calculations, and quantum optimization for problem-solving. Additionally, the article presents case studies that demonstrate the practical implications of quantum computing in specific physics applications. The review also addresses the challenges and prospects of quantum computing in physics, including quantum error mitigation, hardware scalability, and quantum-classical interfaces. Ethical and societal considerations related to quantum computing's cryptographic impact, access, and responsible development are also discussed. Furthermore, the review explores the future directions of quantum computing in physics, from quantum supremacy to quantum machine learning and quantum gravity. The article concludes with reflections on the transformative potential of quantum computing in physics research and the importance of collaborative efforts, interdisciplinary research, and responsible development in shaping the future of quantum technologies. Overall, this comprehensive review offers valuable insights into the current state of quantum computing in physics and the exciting possibilities that lie ahead for unravelling the mysteries of the universe.
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发文量
11
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