A metalens-based analog computing system for ultrasonic Fourier transform calculations

Area of Science:

• Physics
• Computer Science
• Engineering

Background:

• Wave-based analog computing offers a potential alternative to digital systems.
• Existing optical analog Fourier transformers face phase retrieval challenges.
• Low-frequency acoustic analog transformers are too bulky for chip integration.

Purpose of the Study:

• To present a novel Ultrasonic Fourier Transform Analog Computing System (UFT-ACS).
• To address the limitations of current analog Fourier transform technologies.
• To demonstrate accurate Fourier transform calculations using ultrasonic waves.

Main Methods:

• Development of a metalens-based analog computer utilizing ultrasonic waves.
• Wave propagation simulations performed using MATLAB.
• Analysis of parameter selection for error minimization, including zero padding, truncation, and bandlimiting.

Main Results:

• The UFT-ACS successfully calculates Fourier transforms of various input functions.
• High accuracy was demonstrated through wave propagation simulations.
• Optimal parameters for minimizing errors were identified and discussed.

Conclusions:

• The UFT-ACS presents a viable solution for analog Fourier transform calculations.
• Ultrasonic waves offer advantages over optical and low-frequency acoustic methods for this application.
• The proposed system shows promise for integration into compact computing systems.