Conveners
Quantum machine learning and quantum sensing
- Takumi Doi (RIKEN)
Mr
Kosuke Mitarai
(Osaka University)
26/01/2019, 16:30
Open-source tools and quantum machine learning
We propose a classical-quantum hybrid algorithm for machine learning on near-term quantum processors, which we call quantum circuit learning. A quantum circuit driven by our framework learns to perform a given task by tuning parameters implemented on it. We also provide a way to obtain an analytical gradient of an expectation value of an observable for gradient-beased optimization of...
Dr
Stephen Holland
(LBNL)
26/01/2019, 17:00
Quantum sensing
Workshop Talk
We describe the development of charge-coupled devices (CCDs) capable of detecting single electrons. The CCDs utilize a non-destructive readout amplifier that allows for the multiple sampling of the signal charge with a corresponding reduction in the read noise by the inverse square root of the number of samples. The CCDs have been fabricated on high-resistivity silicon that enables the full...
Prof.
Matt Pyle
(University of California Berkeley)
26/01/2019, 17:30
Quantum sensing
Workshop Talk
Searching for dark matter in the 10meV-100MeV mass range requires sensitivity to small energy depositions. In particular, sensitivity to a single optical phonon quanta in Sapphire ( ~ 50meV) or 2 roton quanta in superfluid He would enable searches deep into an entirely unexplored parameter space. Over the past year, we’ve made significant progress towards these goals. In particular, we’ve...
