Resources​

Some notes about Quantum Computation can be found here. Please note that these documents are still in progress.

• Simple Introduction
  • Wikipedia
  • What is quantum computing? by IBM
  • What is quantum computing? by Amazon
• Quantum Physics Subdivision of Cornell E-print Archive
• Book
  • 邱道文. 量子计算理论基础[M]. 第1版. 北京: 清华大学出版社, 2023: 271. ISBN 978-7-302-63253-5
  • N. D. Mermin, Quantum computer science: an introduction: Cambridge University Press, 2007.
  • C. Bernhardt, Quantum computing for everyone: Mit Press, 2019.
  • F. De Lima Marquezino, R. Portugal, and C. Lavor, A primer on quantum computing: Springer, 2019.
  • 量子コンピュータが人工知能を加速する: 日経BP社, 2016.
• Survey / Review
  • 李绿周，高飞，姚鹏晖，田国敬，何键浩，潘世杰，叶泽坤，量子算法与复杂性研究进展概述，CCF2019-2020中国计算机科学技术发展报告/中国计算机学会编，p. 1-59，机械工业出版社，2020.10.
  • L. Gyongyosi, and S. Imre, “A survey on quantum computing technology,” Computer Science Review, vol. 31, pp. 51-71, 2019.
  • M. Horowitz, and E. Grumbling, “Quantum computing: progress and prospects,” 2019.
  • S. S. Gill, A. Kumar, H. Singh, M. Singh, K. Kaur, M. Usman, and R. Buyya, “Quantum computing: A taxonomy, systematic review and future directions,” Software: Practice and Experience, vol. 52, no. 1, pp. 66-114, 2022.
  • S. Nandhini, H. Singh, and U. Akash, “An extensive review on quantum computers,” Advances in Engineering Software, vol. 174, pp. 103337, 2022.
• Paper
  • Open source software in quantum computing

Latest Researches​

Phase transitions in random circuit sampling​

By presenting a random circuit sampling experiment in the weak-noise phase with 67 qubits at 32 cycles, they demonstrate that the computational cost of our experiment is beyond the capabilities of existing classical supercomputers. Their experimental and theoretical work establishes the existence of transitions to a stable, computationally complex phase that is reachable with current quantum processors.

Published on 09 October 2024

Link https://rdcu.be/dWTJO

Ref Morvan, A., Villalonga, B., Mi, X. et al. Phase transitions in random circuit sampling. Nature 634, 328–333 (2024). https://doi.org/10.1038/s41586-024-07998-6

History​

None