Mayur Nilesh Barhate,
- Student, Department of CSE & IOT, Jawahar Education Society’s A.C. Patil College of Engineering, Kharghar, Navi Mumbai, Maharashtra, India
Abstract
This review 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: Linear, Number, Relation, Formula, Quantum, Computing, Processor, Logic gate
[This article belongs to Recent Trends in Parallel Computing (rtpc)]
Mayur Nilesh Barhate. Proposed System: Linear Number Relation Quantum Computing Processor. Recent Trends in Parallel Computing. 2024; 11(03):-.
Mayur Nilesh Barhate. Proposed System: Linear Number Relation Quantum Computing Processor. Recent Trends in Parallel Computing. 2024; 11(03):-. Available from: https://journals.stmjournals.com/rtpc/article=2024/view=177428
References
- Mayur Nilesh Barhate, Nilesh Sitaram Barhate, Lina Nilesh Barhate. Linear Number Relation. International Journal of Novel Research and Development. 2024;9(2):a374-a381.
- Cacciapuoti AS, Caleffi M, Tafuri F, Cataliotti FS, Gherardini S, Bianchi G. Quantum internet: Networking challenges in distributed quantum computing. IEEE Network. 2019 Nov 22;34(1):137-43.
- Bravyi S, Gosset D, König R. Quantum advantage with shallow circuits. Science. 2018 Oct 19;362(6412):308-11.
- Zhong HS, Wang H, Deng YH, Chen MC, Peng LC, Luo YH, Qin J, Wu D, Ding X, Hu Y, Hu P. Quantum computational advantage using photons. Science. 2020 Dec 18;370(6523):1460-3.
- Madsen LS, Laudenbach F, Askarani MF, Rortais F, Vincent T, Bulmer JF, Miatto FM, Neuhaus L, Helt LG, Collins MJ, Lita AE. Quantum computational advantage with a programmable photonic processor. Nature. 2022 Jun 2;606(7912):75-81.
- Yuan X, Endo S, Zhao Q, Li Y, Benjamin SC. Theory of variational quantum simulation. Quantum. 2019 Oct 7;3:191.
- Eisert J, Hangleiter D, Walk N, Roth I, Markham D, Parekh R, Chabaud U, Kashefi E. Quantum certification and benchmarking. Nature Reviews Physics. 2020 Jul;2(7):382-90.
- Zizzi P. Quantum information hidden in quantum fields. Quantum Reports. 2020 Sep 15;2(3).
- 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 Sep 23;10:1006255.
- Xu F, Ma X, Zhang Q, Lo HK, Pan JW. Secure quantum key distribution with realistic devices. Reviews of modern physics. 2020 Apr 1;92(2):025002.
Recent Trends in Parallel Computing
| Volume | 11 |
| Issue | 03 |
| Received | 28/06/2024 |
| Accepted | 12/09/2024 |
| Published | 08/10/2024 |