Berlin 2024 – scientific programme

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HL: Fachverband Halbleiterphysik

HL 37: Poster IV

HL 37.3: Poster

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

Real-Time Quantum Measurement Analysis with Polyspectra at up to 25 MHz Sampling Rates — •Armin Ghorbanietemad, Markus Sifft, and Daniel Hägele — Ruhr University Bochum, Faculty of Phyiscs adn Astronomy, Experimental Physics VI, Germany

Our research focuses on applying quantum polyspectra to analyze continuous quantum measurement records across weak, strong, and single photon regimes. We employ our Python library, SignalSnap [1], which leverages the ArrayFire library for accelerated computations using both CUDA and OpenCL backends, providing hardware flexibility. This acceleration enables us to develop a new library for real-time evaluation of measurements. To digitize the data, we utilize PicoScope, a brand of PC Oscilloscopes. By combining the capabilities of an Nvidia 4090 graphics card and PicoScope 4000 Series, we successfully implement our new library for measurements currently with 25 MHz sampling rates. Real-time evaluation of measurements provides several key advantages for experimentalists. It allows for the immediate identification and correction of obvious errors in the experiment, such as drift, misalignment, or unwanted external noise.

[1] https://github.com/MarkusSifft/SignalSnap

Keywords: Quantum measurements; Polyspectra; Signal analysis