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Advancements in Quantum Computing: Challenges and Prospects

Ayush Pandey


Quantum computing has emerged as a promising field with the potential to revolutionize computation by harnessing the principles of quantum mechanics. In recent years, significant advancements have been made in the development of quantum computers, quantum algorithms, and quantum error correction. However, several challenges still need to be overcome before quantum computing can become a practical and scalable technology.

This review article provides a comprehensive overview of the recent advancements in quantum computing and explores the challenges and prospects associated with this exciting field. We begin by introducing the fundamental principles of quantum computing, including quantum bits (qubits), superposition, and entanglement.

Next, we delve into the progress made in quantum algorithms, including Shor's algorithm for prime factorization and Grover's algorithm for quantum search. We highlight the potential applications of these algorithms in fields such as cryptography, optimization, and simulation. Furthermore, the review examines the crucial issue of quantum error correction, which is essential for mitigating the detrimental effects of noise and decoherence in quantum systems. We explore different error correction codes and fault-tolerant techniques that have been proposed and experimentally demonstrated.  Finally, we provide insights into the prospects and future directions of quantum computing. We discuss ongoing research efforts and potential breakthroughs that could lead to the realization of large-scale, fault-tolerant quantum computers. We also explore the potential impact of quantum computing on various fields, such as drug discovery, materials science, and optimization problems. This review article aims to provide a comprehensive understanding of the advancements, challenges, and prospects in quantum computing. It serves as a valuable resource for researchers, practitioners, and enthusiasts interested in the fascinating world of quantum computation.


Quantum algorithms, quantum error, computation, modelling, optimization, cryptography

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Orús R, Mugel S, Lizaso E. Quantum computing for finance: Overview and prospects. Reviews in Physics. 2019 Nov 1;4:100028.

Hassija V, Chamola V, Saxena V, Chanana V, Parashari P, Mumtaz S, Guizani M. Present landscape of quantum computing. IET Quantum Communication. 2020 Dec;1(2):42-8.

Schliemann J, Khaetskii AV, Loss D. Spin decay and quantum parallelism. Physical Review B. 2002 Dec 4;66(24):245303.

Devitt SJ, Munro WJ, Nemoto K. Quantum error correction for beginners. Reports on Progress in Physics. 2013 Jun 20;76(7):076001.

Vaughan O. A platform for quantum computing. Nature Electronics. 2023 May;6(5):337-.

Berke C, Varvelis E, Trebst S, Altland A, DiVincenzo DP. Transmon platform for quantum computing challenged by chaotic fluctuations. Nature communications. 2022 May 6;13(1):2495.

Calderbank AR, Shor PW. Good quantum error-correcting codes exist. Physical Review A. 1996 Aug 1;54(2):1098.

Bouland A, van Dam W, Joorati H, Kerenidis I, Prakash A. Prospects and challenges of quantum finance. arXiv preprint arXiv:2011.06492. 2020 Nov 12.

de Leon NP, Itoh KM, Kim D, Mehta KK, Northup TE, Paik H, Palmer BS, Samarth N, Sangtawesin S, Steuerman DW. Materials challenges and opportunities for quantum computing hardware. Science. 2021 Apr 16;372(6539):eabb2823.

Orús R, Mugel S, Lizaso E. Quantum computing for finance: Overview and prospects. Reviews in Physics. 2019 Nov 1;4:100028.



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