Relaxed parameter sensitivity for multiphoton quantum resonances
Hao-Lin Zhong, Ke-Xiong Yan, Yi-Ming Yu, Shao-Wei Xu, Zhi-Cheng Shi, Ye-Hong Chen, and Yan Xia

TL;DR
This paper presents an optimization strategy using an optimized parameter segmented sequence (OPSS) to enhance the robustness of multiphoton quantum resonances against detuning errors, facilitating experimental observation and stable photon flux generation.
Contribution
The authors introduce a novel OPSS method that significantly improves the detuning error tolerance in multiphoton quantum resonance systems.
Findings
Expanded parameter window for high-fidelity state transfer
Enhanced robustness against frequency detunings
Stable photon flux generation despite detuning errors
Abstract
Multiphoton resonances demonstrate the physical significance of counter-rotating wave terms in light-matter interactions. These resonances, however, are sensitive to detuning errors, making the phenomena challenging to experimentally observe. In this manuscript, we introduce an optimization strategy to address this problem. By using an optimized parameter segmented sequence (OPSS), the robustness against detuning errors of the high-order quantum state transfers can be substantially improved. We prove the versatility of our strategy against frequency detunings by demonstrating the evolution of two specific models. In both cases, the parameter window for maintaining a high state-transfer fidelity is substantially expanded. We further analyze the output photon flux of the optimized system and, taking the three-photon resonance as an example, demonstrate that the system remains capable of…
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Taxonomy
TopicsStrong Light-Matter Interactions · Spectroscopy and Quantum Chemical Studies · Quantum Information and Cryptography
