RIKEN Berkeley Workshop: Quantum Information Science

Session

Quantum machine learning and quantum sensing

Jan 26, 2019, 4:30 PM

Building 66- Auditorium (LBL-Hill)

Conveners

Quantum machine learning and quantum sensing

• Takumi Doi (RIKEN)

27. Quantum circuit learning: a variational quantum algorithm for machine learning

Mr Kosuke Mitarai (Osaka University)

1/26/19, 4:30 PM

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...

93. Device Design and Technology Developments for Quantum Sensing Charge-Coupled Devices

Dr Stephen Holland (LBNL)

1/26/19, 5:00 PM

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...

94. Progress Towards sub-eV Phonon and Photon Sensitivity with Athermal Phonon Detector for Light Mass Dark Matter Searches and Other Applications

Prof. Matt Pyle (University of California Berkeley)

1/26/19, 5:30 PM

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...