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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

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Published on: May 30, 2014

Benchmarking integrated linear-optical architectures for quantum information processing.

Fulvio Flamini¹, Nicolò Spagnolo², Niko Viggianiello²

¹Dipartimento di Fisica, Sapienza Università di Roma, Piazzale Aldo Moro 5, I-00185, Roma, Italy. fulvio.flamini@gmail.com.

Scientific Reports

|November 11, 2017

Summary

This summary is machine-generated.

This study compares photonic architectures for quantum computing, finding the square design superior to the triangular scheme under realistic loss and control imperfections for quantum information protocols.

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Area of Science:

Quantum Information Science
Integrated Photonics
Quantum Computing

Background:

Photonic platforms are crucial for quantum communication and simulation.
Large-scale integrated interferometers are key for quantum computing, including Boson Sampling.
Linear optical schemes implement unitary transformations for specific quantum tasks.

Purpose of the Study:

To provide a unified, quantitative comparison of major photonic architectures.
To analyze performance under realistic conditions like losses and imperfect control.
To identify the most robust architecture for scalable quantum information processing.

Main Methods:

Comparative analysis of triangular, square, and fast transformation photonic designs.
Inclusion of realistic operational imperfections: signal losses and control errors.
Quantitative evaluation of architectural performance.

Main Results:

The square photonic design demonstrates superior performance over the triangular scheme in most analyzed conditions.
Performance degradation due to losses and control imperfections was quantified for each architecture.
The study establishes a benchmark for realistic photonic quantum information processing.

Conclusions:

The square design is recommended for scalable integrated photonic quantum information protocols.
Addressing imperfections is critical for advancing photonic quantum computing.
This work facilitates the development of practical quantum devices.