NQontrol

NQontrol provides digital feedback control for quantum-optical experiments, implementing up to eight simultaneous feedback loops at 200 kHz with per-channel filtering to stabilize optical resonators and laser frequencies using techniques such as Pound-Drever-Hall (PDH) locking.


Key Features:

  • ADwin platform: Implemented on the ADwin platform for real-time digital control.
  • Eight simultaneous feedback loops: Supports eight independent feedback loops operating concurrently.
  • 200 kHz sampling frequency: Each feedback loop can sample and update at 200 kHz.
  • Five second-order filtering sections per channel: Provides five second-order filters per channel for shaping feedback transfer functions.
  • Pound-Drever-Hall (PDH) locking implementation: Includes a PDH lock implementation applicable to optical resonators.
  • Python support package: Supplies a Python package with programmatic access and control routines for the platform.

Scientific Applications:

  • Laser frequency stabilization: Stabilizes laser frequency to optical resonators and high-finesse optical cavities using PDH locking.
  • Quantum-optical experiments: Provides rapid-response digital feedback for dynamic quantum-optical and precision measurement setups.
  • Benchmarking versus analog control: Demonstrated comparison against a traditional analog reference implementation for feedback-control performance.

Methodology:

Real-time digital feedback-control implemented on the ADwin platform with eight concurrent loops sampled at 200 kHz, five second-order filters per channel, and an implemented Pound-Drever-Hall (PDH) locking routine; a Python package provides programmatic control.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
3/13/2021

Operations

Publications

Darsow-Fromm C, Dekant L, Grebien S, Schröder M, Schnabel R, Steinlechner S. NQontrol: An open-source platform for digital control-loops in quantum-optical experiments. Review of Scientific Instruments. 2020;91(3). doi:10.1063/1.5135873. PMID:32260013.

PMID: 32260013
Funding: - Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy EXC2121: 388405737