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An autonomous single-piston engine with a quantum rotor,
, QUANTUM SCIENCE AND TECHNOLOGY, 3, UNSP 035008 (2018)
Autotuning of Double-Dot Devices In Situ with Machine Learning,
, Phys. Rev. Applied, 13, 034075 (2020)
Backaction-evading impulse measurement with mechanical quantum sensors,
, Phys. Rev. A, 102, 023525 (2020)
Cooling a Harmonic Oscillator by Optomechanical Modification of Its Bath,
, Phys. Rev. Lett., 118, 223602 (2017)
Dynamic suppression of Rayleigh backscattering in dielectric resonators,
, Optica, 6, 1016-1022 (2019)
Dynamically induced robust phonon transport and chiral cooling in an optomechanical system,
, NATURE COMMUNICATIONS, 8 (2017)
Dynamics of an ion coupled to a parametric superconducting circuit,
, PHYSICAL REVIEW A, 93, 013412 (2016)
Electrooptomechanical Equivalent Circuits for Quantum Transduction,
, PHYSICAL REVIEW APPLIED, 10, 044036 (2018)
Environment-assisted quantum control of a solid-state spin via coherent dark states,
, NATURE PHYSICS, 10, 725-730 (2014)
High sensitivity optomechanical reference accelerometer over 10 kHz,
, APPLIED PHYSICS LETTERS, 104 (2014)
High-order multipole radiation from quantum Hall states in Dirac materials,
, PHYSICAL REVIEW B, 95, 235439 (2017)
Interacting Atomic Interferometry for Rotation Sensing Approaching the Heisenberg Limit,
, Phys. Rev. Lett., 117, 203002 (2016)
Machine learning techniques for state recognition and auto-tuning in quantum dots,
, NPJ QUANTUM INFORMATION, 5, 6 (2019)
Optimal two-qubit circuits for universal fault-tolerant quantum computation,
, npj Quantum Inform., 7 (2021)
Optomechanical approach to controlling the temperature and chemical potential of light,
, PHYSICAL REVIEW A, 97, 033850 (2018)
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments,
, PLOS ONE, 13, e0205844 (2018)