10 citations · 15 across the 4 of their papers we have counts for
4 papers
Quantum machine learning algorithms for anomaly detection: A review
Sebastiano Corli, Lorenzo Moro, Daniele Dragoni +2
The advent of quantum computers has justified the development of quantum machine learning algorithms , based on the adaptation of the principles of machine learning to the formalis…
A generalized primal-dual algorithm with improved convergence condition for saddle point problems
Bingsheng He, Feng Ma, Shengjie Xu +1
We generalize the well-known primal-dual algorithm proposed by Chambolle and Pock for saddle point problems, and improve the condition for ensuring its convergence. The improved co…
Solving Rubik's Cube via Quantum Mechanics and Deep Reinforcement Learning
Sebastiano Corli, Lorenzo Moro, Davide E. Galli +1
Rubik's Cube is one of the most famous combinatorial puzzles involving nearly possible configurations. Its mathematical description is expressed by the Rubik's…
Quantum Compiling by Deep Reinforcement Learning
Lorenzo Moro, Matteo G. A. Paris, Marcello Restelli +1
The architecture of circuital quantum computers requires computing layers devoted to compiling high-level quantum algorithms into lower-level circuits of quantum gates. The general…