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Advances in Quantum Reinforcement Learning
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
In recent times, there has been much interest in quantum enhancements of machine learning, specifically in the context of data mining and analysis. Reinforcement learning, an inter…
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
Justyna P. Zwolak, Sandesh S. Kalantre, Xingyao Wu +2
Over the past decade, machine learning techniques have revolutionized how research is done, from designing new materials and predicting their properties to assisting drug discovery…
Bose Condensation of Photons Thermalized via Laser Cooling of Atoms
Chiao-Hsuan Wang, M. J. Gullans, J. V. Porto +2
A Bose-Einstein condensate (BEC) is a quantum phase of matter achieved at low temperatures. Photons, one of the most prominent species of bosons, do not typically condense due to t…
Spectral Kurtosis Based RFI Mitigation for CHIME
Jacob Taylor, Nolan Denman, Kevin Bandura +5
We present the implementation of a spectral kurtosis based Radio Frequency Interference detection system on the CHIME instrument and its reduced-scale pathfinder. Our implementatio…
Tabletop experiments for quantum gravity: a user's manual
Daniel Carney, Philip C. E. Stamp, Jacob M. Taylor
Recent advances in cooling, control, and measurement of mechanical systems in the quantum regime have opened the possibility of the first direct observation of quantum gravity, at…
Dynamic suppression of Rayleigh light scattering in dielectric resonators
Seunghwi Kim, Jacob M. Taylor, Gaurav Bahl
The ultimate limits of performance for any classical optical system are set by sub-wavelength fluctuations within the host material, that may be frozen-in or even dynamically induc…