Differentiable Error Mitigation for Quantum Photonic Circuits
Published:Dec 29, 2025 13:18
•1 min read
•ArXiv
Analysis
This paper introduces DifGa, a novel differentiable error-mitigation framework for continuous-variable (CV) quantum photonic circuits. The framework addresses both Gaussian loss and weak non-Gaussian noise, which are significant challenges in building practical quantum computers. The use of automatic differentiation and the demonstration of effective error mitigation, especially in the presence of non-Gaussian noise, are key contributions. The paper's focus on practical aspects like runtime benchmarks and the use of the PennyLane library makes it accessible and relevant to researchers in the field.
Key Takeaways
- •Introduces DifGa, a differentiable error-mitigation framework for CV quantum photonic circuits.
- •Addresses both Gaussian loss and weak non-Gaussian noise.
- •Employs automatic differentiation for end-to-end optimization.
- •Demonstrates effective error mitigation, especially with non-Gaussian noise.
- •Provides runtime benchmarks showing linear scaling with Monte Carlo samples.
Reference
“Error mitigation is achieved by appending a six-parameter trainable Gaussian recovery layer comprising local phase rotations and displacements, optimized by minimizing a quadratic loss on the signal-mode quadratures.”