Simulating photonic devices with noisy optical elements

Quantum computers are inherently affected by noise. While in the long term, error correction codes will account for noise at the cost of increasing physical qubits, in the near term, the performance of any quantum algorithm should be tested and simulated in the presence of noise. As noise acts on the hardware, the classical simulation of a quantum algorithm should not be agnostic on the platform used for the computation. In this paper, we apply the recently proposed noisy gates approach to efficiently simulate noisy optical circuits described in the dual rail framework. The evolution of the state vector is simulated directly, without requiring the mapping to the density matrix framework. Notably, we test the method on both the gate-based and measurement-based quantum computing models, showing that the approach is very versatile. We also evaluate the performance of a photonic variational quantum algorithm to solve the MAX-2-CUT problem. In particular we design and simulate an ansatz, which is resilient to photon losses up to <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mi mathvariant="normal">p</a:mi><a:mo>∼</a:mo><a:msup><a:mn>10</a:mn><a:mrow><a:mo>−</a:mo><a:mn>3</a:mn></a:mrow></a:msup></a:mrow></a:math> making it relevant for near-term applications. Published by the American Physical Society 2024

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Publication Details

Journal
Physical Review Research
Published
2024-09-26
DOI
https://doi.org/10.1103/physrevresearch.6.033337
Citations
5
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
1.74

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article

Simulating photonic devices with noisy optical elements

Angelo Bassi, Michele Vischi, Filippo Cerocchi, Massimiliano Proietti et al.
5 citations
Physical Review Research
Neural Networks and Reservoir Computing
1.74
article

Simulating photonic devices with noisy optical elements

Angelo Bassi, Michele Vischi, Filippo Cerocchi, Massimiliano Proietti, Giovanni Di Bartolomeo, Seid Koudia, Massimiliano Dispenza
article en
5 citations

Abstract

Quantum computers are inherently affected by noise. While in the long term, error correction codes will account for noise at the cost of increasing physical qubits, in the near term, the performance of any quantum algorithm should be tested and simulated in the presence of noise. As noise acts on the hardware, the classical simulation of a quantum algorithm should not be agnostic on the platform used for the computation. In this paper, we apply the recently proposed noisy gates approach to efficiently simulate noisy optical circuits described in the dual rail framework. The evolution of the state vector is simulated directly, without requiring the mapping to the density matrix framework. Notably, we test the method on both the gate-based and measurement-based quantum computing models, showing that the approach is very versatile. We also evaluate the performance of a photonic variational quantum algorithm to solve the MAX-2-CUT problem. In particular we design and simulate an ansatz, which is resilient to photon losses up to <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mi mathvariant="normal">p</a:mi><a:mo>∼</a:mo><a:msup><a:mn>10</a:mn><a:mrow><a:mo>−</a:mo><a:mn>3</a:mn></a:mrow></a:msup></a:mrow></a:math> making it relevant for near-term applications. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(3)
University of Trieste (IT), Istituto Nazionale di Fisica Nucleare (IT), Leonardo (United Kingdom) (GB)
Istituto Nazionale di Fisica Nucleare Sezione di Padova, Università degli Studi di Trieste, Ministero dell'Università e della Ricerca
Openalex Percentile: Top 13%
Neural Networks and Reservoir Computing
1.74
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