Principle and State-of-Art Applications of Quantum Computing

Authors

  • Guixi Wu

DOI:

https://doi.org/10.54097/bv13qd06

Keywords:

Quantum computing; entanglement; algorithms.

Abstract

Contemporarily, the classical computing has met the upper limitations of Moore’s law due to the restrictions of the resolution for light sourcing and material. On this basis, the quantum computing has been rapidly developed due to the advantages of parallel computation, which is able to be faster more than 3 orders of magnitude than conventional computer in some issues. With this in mind, this study discusses the basic principles of quantum computing as well as the corresponding state-of-art applications. To be specific, the developing history of the quantum computing is briefly introduced. Subsequently, the entanglement principle will be demonstrated accordingly. Afterwards, three types of the state-of-art quantum computing facilities will be demonstrated. Then, some of the applications and common algorithms will be discussed simultaneously. According to the analysis, the limitations and defects of current investigation of quantum computing will be illustrated. In conclusion, these outcomes provided guideline for further exploration of quantum computing.

Downloads

Download data is not yet available.

References

Rojas-Sola J I, del Río-Cidoncha G, Fernández-de la Puente Sarriá A, et al. Blaise pascal’s mechanical calculator: Geometric modelling and virtual reconstruction. Machines, 2021, 9(7): 136.

Gomez-Jauregui V, Gutierrez-Garcia A, González-Redondo F A, et al. Torres Quevedo's mechanical calculator for second-degree equations with complex coefficients. Mechanism and Machine Theory, 2022, 172: 104830.

Brainerd J G. Genesis of the ENIAC. Technology and Culture, 1976, 17(3): 482-488.

Einstein A, Podolsky B, Rosen N. Can quantum-mechanical description of physical reality be considered complete. Physical review, 1935, 47(10): 777.

DiVincenzo D P. The Physical Implementation of Quantum Computation. Fortschritte der Physik, 2000, 48(9–11): 771–83.

Shor, Peter W. “Scheme for reducing decoherence in quantum computer memory”. Physical Review A, 1995, 52(4).

Chen Z. Metrology of quantum control and measurement in superconducting qubits. University of California, Santa Barbara, 2018.

Grover L K. Quantum Mechanics Helps in Searching for a Needle in a Haystack. Physical Review Letters, 1997, 79(2): 325–328.

Shor P W. Algorithms for quantum computation: discrete logarithms and factoring. Proceedings 35th Annual Symposium on Foundations of Computer Science. 1994: 124–34.

Egan L, Debroy D M, Noel C, et al. Fault-tolerant control of an error-corrected qubit. Nature, 2021, 598(7880): 281-286.

Wineland D J, Barrett M, Britton J, et al. Quantum information processing with trapped ions. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 2003, 361(1808): 1349-1361.

Zhang C, Mehta K K, Home J P. Optimization and implementation of a surface-electrode ion trap junction. New Journal of Physics, 2022, 24(7): 073030.

Downloads

Published

29-03-2024

How to Cite

Wu, G. (2024). Principle and State-of-Art Applications of Quantum Computing. Highlights in Science, Engineering and Technology, 88, 110-115. https://doi.org/10.54097/bv13qd06