research
∙
12/17/2021
Colloquium: Advances in automation of quantum dot devices control
Arrays of quantum dots (QDs) are a promising candidate system to realize...
share
research
∙
07/30/2021
Toward Robust Autotuning of Noisy Quantum Dot Devices
The current autotuning approaches for quantum dot (QD) devices, while sh...
research
∙
03/17/2021
Theoretical bounds on data requirements for the ray-based classification
The problem of classifying high-dimensional shapes in real-world data gr...
research
∙
02/23/2021
Ray-based framework for state identification in quantum dot devices
Quantum dots (QDs) defined with electrostatic gates are a leading platfo...
research
∙
10/01/2020
Ray-based classification framework for high-dimensional data
While classification of arbitrary structures in high dimensions may requ...
research
∙
10/30/2017
Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning
Recent work on quantum machine learning has demonstrated that quantum co...
research
∙
10/26/2016
Quantum-enhanced machine learning
The emerging field of quantum machine learning has the potential to subs...
research
∙
07/30/2015
