Photon-resolved Floquet theory. I. Full counting statistics of the driving field in Floquet systems

Floquet theory and other established semiclassical approaches are widely used methods to predict the state of externally driven quantum systems, yet they do not allow the prediction of the state of the photonic driving field. To overcome this shortcoming, the photon-resolved Floquet theory (PRFT) was developed recently [], which deploys concepts from full-counting statistics to predict the statistics of the photon flux between several coherent driving modes. In this paper, we study in detail the scaling properties of the PRFT in the semi-classical regime. We find that there is an ambiguity in the definition of the moment-generating function, such that different versions of this function produce the same photonic probability distribution in the semiclassical limit, and generate the same leading-order terms of the moments and cumulants. Using this ambiguity, we establish a simple expression for the Kraus operators, which describe the decoherence dynamics of the driven quantum system appearing as a consequence of the light-matter interaction. The PRFT will pave the way for improved quantum sensing methods, e.g., for spectroscopic quantum sensing protocols, reflectometry in semiconductor nanostructures, and other applications, where the detailed knowledge of the photonic probability distribution is necessary. Published by the American Physical Society 2024

Authors

Institutions

Publication Details

Journal
Physical review. A/Physical review, A
Published
2024-12-12
DOI
https://doi.org/10.1103/physreva.110.063707
Citations
3
Primary Topic
Mechanical and Optical Resonators
Type
article
Field-Weighted Citation Impact
1.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photon-resolved Floquet theory. I. Full counting statistics of the driving field in Floquet systems

V. M. Bastidas, JunYan Luo, Gloria Platero, Georg Engelhardt
3 citations
Physical review. A/Physical review, A
Mechanical and Optical Resonators
1.01
article

Photon-resolved Floquet theory. I. Full counting statistics of the driving field in Floquet systems

V. M. Bastidas, JunYan Luo, Gloria Platero, Georg Engelhardt
article en
3 citations

Abstract

Floquet theory and other established semiclassical approaches are widely used methods to predict the state of externally driven quantum systems, yet they do not allow the prediction of the state of the photonic driving field. To overcome this shortcoming, the photon-resolved Floquet theory (PRFT) was developed recently [], which deploys concepts from full-counting statistics to predict the statistics of the photon flux between several coherent driving modes. In this paper, we study in detail the scaling properties of the PRFT in the semi-classical regime. We find that there is an ambiguity in the definition of the moment-generating function, such that different versions of this function produce the same photonic probability distribution in the semiclassical limit, and generate the same leading-order terms of the moments and cumulants. Using this ambiguity, we establish a simple expression for the Kraus operators, which describe the decoherence dynamics of the driven quantum system appearing as a consequence of the light-matter interaction. The PRFT will pave the way for improved quantum sensing methods, e.g., for spectroscopic quantum sensing protocols, reflectometry in semiconductor nanostructures, and other applications, where the detailed knowledge of the photonic probability distribution is necessary. Published by the American Physical Society 2024

Physical review. A/Physical review, AVol. 110(6)
Zhejiang University of Science and Technology (CN), Southern University of Science and Technology (CN), Quantum (Australia) (AU), NTT Basic Research Laboratories (JP), Instituto de Ciencia de Materiales de Madrid (ES), Massachusetts Institute of Technology (US)
National Natural Science Foundation of China, Ministerio de Economía y Competitividad
Openalex Percentile: Top 23%
Mechanical and Optical Resonators
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.