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QI: Fachverband Quanteninformation

QI 4: Materials and Devices for Quantum Technology I (joint session HL/QI)

QI 4.1: Talk

Monday, March 18, 2024, 15:00–15:15, EW 203

A Quantum Polyspectra Approach to the Analysis of Quantum Emitter Blinking Dynamics at Low Photon Rates Without Binning — •M. Sifft¹, A. Kurzmann², J. Kerski⁴, R. Schott³, A. Ludwig¹, A. D. Wieck¹, A. Lorke⁴, M. Geller⁴, and D. Hägele¹ — ¹Ruhr Uni., DE — ²RWTH Aachen, DE — ³ETH Zürich, CH — ⁴Uni. Duisburg-Essen, DE

The statistical analysis of quantum emitters becomes hard or even impossible for traditional methods like the full counting statistics in cases of decreasing light levels. We propose a polyspectra approach that prevails even in scenarios of high photon losses or low photon rates. A minimum photon flux and binning of photon-events is no longer required [1]. By comparing theoretical polyspectra (higher-order generalizations of the usual power spectrum) with those calculated directly from the detector output, we can identify the emitter's Liouvillian or transition matrix.

We analyze quantum dot fluorescence data and determine on-off switching rates at average photon rates much lower than the system dynamics. Our Python libraries, SignalSnap and QuantumCatch, are freely available for computing polyspectra on GPUs and for their subsequent analysis [2,3]. The libraries allow for an advanced analysis of general continuous quantum measurements yielding the systems Liouvillian or its underlying hidden Markov model.

[1] Sifft et al., arXiv:2310.10464,

[2] github.com/markussifft/signalsnap,

[3] github.com/markussifft/quantumcatch

Keywords: Quantum Emitter; Quantum Transport; Photon Statistics; Python; Characterization