Dynamical Blockade Optimizing via Particle Swarm Optimization Algorithm
Guang-Yu Zhang, Zhi-Hao Liu, Xun-Wei Xu

TL;DR
This paper introduces a method to achieve dynamic photon blockade in weakly nonlinear bosonic modes by optimizing pulsed driving fields using particle swarm optimization, enabling control over quantum effects.
Contribution
It demonstrates the application of PSO to optimize pulsed fields for dynamic blockade, a novel approach in weak nonlinear quantum systems.
Findings
Gaussian and rectangular pulses can generate dynamic photon blockade.
Destructive interference between two-photon excitation paths induces blockade.
PSO effectively optimizes parameters for quantum effects.
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…
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research · Advanced Algorithms and Applications · IoT-based Smart Home Systems
