Related Experiment Video
Updated: Jun 16, 2025

06:42
Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
8.9K
Variational approach to learning photonic unitary operators.
Optics Express
|June 14, 2025
Summary
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.
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.
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