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HL: Fachverband Halbleiterphysik

HL 37: Poster IV

HL 37.1: Poster

Wednesday, March 20, 2024, 18:00–20:30, Poster F

SignalSnap and QuantumCatch: Python Libraries for Analyzing General Quantum Measurement Records — •Markus Sifft and Daniel Hägele — Ruhr Uni. Bochum, DE

Quantum measurement records exhibit diverse characteristics ranging from Gaussian noise to telegraph noise and even to clicks at random times. Traditional evaluation methods often cater to one of those noise characteristics, while general methods especially for intermediate regimes are missing. We close this gap by analyzing measurements in terms of their higher-order temporal correlations that are directly related to the Liouvillian of the measured quantum system.

This approach is made readily available by two Python libraries: SignalSnap [1] and QuantumCatch [2]. SignalSnap computes higher-order correlations of the detector output, while QuantumCatch relates them to the Liouvillian of the measured quantum system. Higher order correlations follow from the stochastic master equation covering coherent quantum dynamics, environmental damping, and measurement backaction at arbitrary measurement strength. Using SignalSnap and QuantumCatch quantum measurements were evaluated from the realms of conventional spin noise spectroscopy [3], quantum transport experiments [4], and ultra-weak measurements with stochastically arriving single photons [5,6].

[1] github.com/markussifft/signalsnap, [2] github.com/markussifft /quantumcatch, [3] Hägele PRB 98, 205143, [4] Sifft PRR 3, 033123, [5] Sifft PRA 107, 052203, [6] Sifft arXiv:2310.10464

Keywords: Quantum System Characterization; Quantum Measurement; Photon Statistics; Signal Analysis; Python