Dynamical Blockade Optimizing via Particle Swarm Optimization Algorithm

• URL: http://arxiv.org/abs/2404.18523v1
• Date: Mon, 29 Apr 2024 09:11:15 GMT
• Title: Dynamical Blockade Optimizing via Particle Swarm Optimization Algorithm
• Authors: Guang-Yu Zhang, Zhi-Hao Liu, Xun-Wei Xu,
• Abstract summary: We propose to optimize the parameters of pulsed driving field to achieve dynamic blockade in a single bosonic mode with weak nonlinearity. Our work highlights the effectiveness of PSO algorithm in optimizing dynamical blockade, but also opens a way to optimize the parameters for other quantum effects, such as quantum entanglement and quantum squeezing.
• Score: 3.1802137131366472
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Photon blockade in weak nonlinear regime is an exciting and promising subject that has been extensively studied in the steady state. However, how to achieve dynamic blockade in a single bosonic mode with weak nonlinearity using only pulsed driving field remains unexplored. Here, we propose to optimize the parameters of the pulsed driving field to achieve dynamic blockade in a single bosonic mode with weak nonlinearity via the particle swarm optimization (PSO) algorithm. We demonstrate that both Gaussian and rectangular pulses can be used to generate dynamic photon blockade in a single bosonic mode with weak nonlinearity. Based on the Fourier series expansions of the pulsed driving field, we identify that there are many paths for two-photon excitation in the bosonic mode, even only driven by pulsed field, and the dynamic blockade in weak nonlinear regime is induced by the destructive interference between them. Our work not only highlights the effectiveness of PSO algorithm in optimizing dynamical blockade, but also opens a way to optimize the parameters for other quantum effects, such as quantum entanglement and quantum squeezing.

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