Real-time optimal quantum control of mechanical motion at room temperature
Lorenzo Magrini, Philipp Rosenzweig, Constanze Bach, Andreas, Deutschmann-Olek, Sebastian G. Hofer, Sungkun Hong, Nikolai Kiesel, Andreas, Kugi, Markus Aspelmeyer

TL;DR
This paper demonstrates real-time optimal quantum control of a nanoparticle's motion at room temperature, achieving ground state cooling through advanced measurement and feedback techniques.
Contribution
It introduces a method combining near-Heisenberg-limited position sensing with quantum Kalman filtering for real-time control of mechanical quantum systems.
Findings
Achieved quantum ground state cooling of a nanoparticle at room temperature.
Demonstrated real-time phase space tracking with minimal uncertainty.
Established quantum Kalman filtering as a key tool for mechanical quantum control.
Abstract
The ability to accurately control the dynamics of physical systems by measurement and feedback is a pillar of modern engineering. Today, the increasing demand for applied quantum technologies requires to adapt this level of control to individual quantum systems. Achieving this in an optimal way is a challenging task that relies on both quantum-limited measurements and specifically tailored algorithms for state estimation and feedback. Successful implementations thus far include experiments on the level of optical and atomic systems. Here we demonstrate real-time optimal control of the quantum trajectory of an optically trapped nanoparticle. We combine confocal position sensing close to the Heisenberg limit with optimal state estimation via Kalman filtering to track the particle motion in phase space in real time with a position uncertainty of 1.3 times the zero point fluctuation.…
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