Recent Trends in Parallel Computing Review Article
Proposed System: Quantum Computing Processor Based on Linear Number Relation
Abstract
This paper details the design and implementation of a specialized quantum processor tailored for efficiently evaluating custom mathematical formulas. Optimized to perform a specific set of arithmetic and logical operations, this processor delivers a stable and high-performance computing platform. Unlike general-purpose quantum processors, which are designed for versatility across a wide range of algorithms, this dedicated processor aims to enhance performance and accuracy for a targeted set of tasks. The paper starts by introducing the motivation behind creating a specialized quantum processor and the benefits it provides compared to using standard logic gates. The methodology section outlines the design principles, circuit architecture, and optimization strategies used in developing the processor. It highlights the customization of gate operations and circuit design to align precisely with the formulated equations, ensuring peak performance. Simulation results highlight the effectiveness of the quantum processor in efficiently assessing custom-formulated formulas, revealing superior speed and accuracy compared to standard quantum computing methods. The discussion explores the impact of using a dedicated processor for specialized computations and emphasizes its potential for broader applications in fields that demand specific mathematical operations.
Keywords
References (10)
- Barhate MN, Barhate NS, Barhate LN. Linear number relation. Int J Novel Res Dev. 2024;9:a374–a381.
- Cacciapuoti AS, Caleffi M, Tafuri F, Cataliotti FS, Gherardini S, Bianchi G. Quantum Internet: Networking Challenges in Distributed Quantum Computing. IEEE Network. 2020;34(1):137-143. doi:10.1109/mnet.001.1900092
- Bravyi S, Gosset D, König R. Quantum advantage with shallow circuits. Science. 2018;362(6412):308-311. doi:10.1126/science.aar3106
- Zhong HS, Wang H, Deng YH, Chen MC, Peng LC, Luo YH, et al. Quantum computational advantage using photons. Science. 2020;370(6523):1460-1463. doi:10.1126/science.abe8770
- Madsen LS, Laudenbach F, Askarani MF, Rortais F, Vincent T, Bulmer JFF, et al. Quantum computational advantage with a programmable photonic processor. Nature. 2022;606(7912):75-81. doi:10.1038/s41586-022-04725-x
- Yuan X, Endo S, Zhao Q, Li Y, Benjamin SC. Theory of variational quantum simulation. Quantum. 2019;3:191. doi:10.22331/q-2019-10-07-191
- Eisert J, Hangleiter D, Walk N, Roth I, Markham D, Parekh R, et al. Quantum certification and benchmarking. Nature Reviews Physics. 2020;2(7):382-390. doi:10.1038/s42254-020-0186-4
- Zizzi P. Quantum Information Hidden in Quantum Fields. Quantum Reports. 2020;2(3):459-488. doi:10.3390/quantum2030033
- Han YH, Cao C, Fan L, Zhang R. Scheme for implementing nonlocal high-fidelity quantum controlled-not gates on quantum-dot-confined electron spins using optical microcavities and photonic hyperentanglement. Frontiers in Physics. 2022;10. doi:10.3389/fphy.2022.1006255
- Xu F, Ma X, Zhang Q, Lo HK, Pan JW. Secure quantum key distribution with realistic devices. Reviews of Modern Physics. 2020;92(2). doi:10.1103/revmodphys.92.025002