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Related Experiment Video

Updated: Jun 16, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

Variational approach to learning photonic unitary operators.

Hadrian Bezuidenhout, Mwezi Koni, Jonathan Leach

|June 14, 2025

Summary

This summary is machine-generated.

Researchers developed a new method using structured light to learn complex optical operations. This adaptable scheme achieves high accuracy for high-dimensional unitary matrices, advancing information processing.

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Area of Science:

Quantum optics and information processing
High-dimensional structured light applications

Background:

Structured light, with tailored internal degrees of freedom, is crucial for quantum and classical information processing.
Harnessing high-dimensional structured light enables advanced computational protocols.

Purpose of the Study:

To develop an adaptable scheme for learning unitary operations using high-dimensional structured light.
To adapt variational quantum computing concepts for optical information processing.

Main Methods:

Utilizing structured light modulated in the transverse spatial degree of freedom.
Implementing a pseudo-random walk over unitary operation parameters via optical matrix-vector multiplication.
Employing a cylindrical lens for partial Fourier transformation in optical measurements.

Main Results:

Theoretically outlined and experimentally demonstrated a scheme for learning optical unitary matrices.
Achieved high average fidelities (>90%) for dimensions d = 2, 4, 8, and 16.
Validated the adaptability of the scheme for high-dimensional information processing.

Conclusions:

The developed method effectively learns optical unitary matrices with high fidelity.
This work advances high-dimensional information processing capabilities.
The scheme is adaptable for quantum and classical state and channel tomography.