1 citations · 2 across the 4 of their papers we have counts for
4 papers
A Compressive Sensing Inspired Monte-Carlo Method for Combinatorial Optimization
Baptiste Chevalier, Shimpei Yamaguchi, Wojciech Roga +1
In this paper, we present a Monte-Carlo Compressive Optimization algorithm, a new method for black-box combinatorial optimization, which only assumes that the objective is compress…
Demonstration of sequential processors with quantum advantage and analysis of classical performance limits
Shota Tateishi, Wenhao Wang, Baptiste Chevalier +3
In this paper, we theoretically and experimentally analyze sequential processors with limited communication between parts. We compare the expressivity of sequential quantum and cla…
Compressed sensing enhanced by quantum approximate optimization algorithm
Baptiste Chevalier, Wojciech Roga, Masahiro Takeoka
We present a framework to deal with a range of large scale compressive sensing problems using a quantum subroutine. We apply a quantum approximate optimization algorithm (QAOA) to…
Fully Quantum Classifier
Wojciech Roga, Baptiste Chevalier, Masahiro Takeoka
In this paper we present a supervised machine learning quantum classifier. It consists of a quantum data re-uploading classifier with binary trainable parameters, the optimal value…