FOURIER TRANSFORM ANALYSIS USING QUANTUM COMPUTATION METHOD
- Assistant Professor, Department of ECE, RISE Krishna Sai Prakasam Group of Institutions, Andhra Pradesh.
- Associate Professor, Department of CSE - Data Science, Dayananda Sagar University, Bangalore, Karnataka.
- Associate Professor, Department of ECE,PBR Visvodaya Institute of Technology & Science, Andhra Pradesh.
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signals into frequency-domain forms is the Fourier Transform (FT). It is extensively utilized in several fields, such as spectrum analysis, audio and video processing, and 5G networks. Effective frequency analysis is essential for channel optimization, signal reliability, and noise reduction in 5G networks. The FFT is appropriate for real-time applications since it greatly increases processing speed. However, the Quantum Fourier Transform makes use of quantum entanglement and superposition, providing exciting new developments for secure data transfer and high-speed communication in the future. Furthermore, both the Inverse Fast Fourier Transform (IFFT) and the Inverse Quantum Fourier Transform are used to correctly recreate the signal. Implementation of Quantum's real valued computing of quantum-based signal processing is also covered in the survey.
Surya P, U. Pavan Kumar , Ch. Arun Prakash, Anjaiah Vasipalle and D. Syambabu (2026); FOURIER TRANSFORM ANALYSIS USING QUANTUM COMPUTATION METHOD, Int. J. of Adv. Res. (Feb), ISSN 2320-5407. DOI URL: https://dx.doi.org/10.21474/IJAR01/22715
RISE Krishna Sai Prakasam Group of Institutions
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