The continuous growth in computational demands has led to the
exploration of innovative technologies for enhancing circuit efficiency.
Quantum-inspired algorithms have garnered attention due to their
potential to improve optimization, processing, and energy consumption
in conventional circuit technologies. Traditional circuit designs,
primarily based on classical computation, face limitations in handling
large-scale problems due to inefficient algorithms and hardware
constraints. These challenges prompt the need for alternative solutions
capable of providing scalable, high-performance computation in
complex environments. This research proposes integrating quantum-
inspired algorithms into circuit technologies to address these
challenges. Quantum algorithms, such as the Quantum Approximate
Optimization Algorithm (QAOA) and quantum annealing, offer
substantial benefits over classical counterparts, especially in solving
NP-hard problems, simulating quantum systems, and optimizing
complex functions. The integration of such algorithms into circuit
design can potentially reduce computational complexity, improve data
throughput, and optimize energy efficiency, offering a more
sustainable approach in circuit development. The study investigates the
adaptation of quantum-inspired algorithms into field-effect transistors
(FETs) and other circuit components, focusing on optimizing power
consumption and operational speed. A hybrid approach combining
classical circuit elements with quantum-inspired strategies is
implemented to evaluate its impact on both performance and
scalability. The results show a notable reduction in energy
consumption and improvement in processing speed, validating the
promise of quantum-inspired solutions in enhancing computational efficiency.
M. Joe Marshell1, K. Parkavi2
SRM Valliammai Engineering College, India1, Karpaga Vinayaga College of Engineering and Technology, India2
Quantum-Inspired Algorithms, Computational Efficiency, Circuit Technologies, Quantum Annealing, Energy Optimization
| January | February | March | April | May | June | July | August | September | October | November | December |
| 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 10 , Issue: 4 , Pages: 1952 - 1956 )
Date of Publication :
January 2025
Page Views :
68
Full Text Views :
9
|