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Metasurface-Based Optical Logic Operators Driven by Diffractive Neural Networks.

Xumin Ding¹, Zihan Zhao¹, Peng Xie²

¹Advanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, 150080, China.

Advanced Materials (Deerfield Beach, Fla.)

|November 30, 2023

Summary

This summary is machine-generated.

This study introduces a novel optical logic operator using a metasurface and diffractive neural network to perform quantum logic operations. This compact device achieves high fidelity for key quantum gates, advancing optical quantum computing.

Keywords:

all-optical diffractive neural network metasurface multiplexed optical quantum computing

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Area of Science:

Quantum optics
Metasurface technology
Optical computing

Background:

Quantum logic operations are fundamental to quantum computing.
Existing optical implementations often face challenges with size and resource requirements.

Purpose of the Study:

To develop a novel, compact optical logic operator.
To perform four principal quantum logic operations (Pauli-X, Pauli-Y, Pauli-Z, and Hadamard gates).

Main Methods:

Utilizing a multifunctional metasurface driven by an all-optical diffractive neural network.
Employing spatial- and polarization-multiplexing in a single hidden layer design.
Characterizing ground states using orthogonal linear polarization states.

Main Results:

Achieved high fidelities for all four quantum logic gates: up to 99.96% numerically and 99.88% experimentally.
Demonstrated a compact system with reduced volume and computing resources.
Validated the functionality of the optical quantum operator.

Conclusions:

The developed optical logic operator is highly accurate and efficient.
This technology facilitates the construction of scalable optical quantum computing systems.
Paves the way for advanced, compact optical quantum devices.