Natalia Ares

Selected Publications

  • Quantum device fine-tuning using unsupervised embedding learning

  • Machine learning enables completely automatic tuning of a quantum device faster than human experts.

  • Sensitive radio-frequency read-out of quantum dots using an ultra-low-noise SQUID amplifier

  • Sensitive radiofrequency readout of quantum dots using an ultra-low-noise SQUID amplifier

  • Radio-frequency optomechanical characterization of a silicon nitride drum.

  • A coherent nanomechanical oscillator driven by single-electron tunnelling.

  • Efficiently measuring a quantum device using machine learning (vol 5, 79, 2019)

  • Efficiently measuring a quantum device using machine learning

  • Measuring carbon nanotube vibrations using a single-electron transistor as a fast linear amplifier

  • Displacemon Electromechanics: How to Detect Quantum Interference in a Nanomechanical Resonator