Claudio Conti

Programming multi-level quantum gates in disordered computing reservoirs via machine learning

2020 · Optics Express

Novel machine learning computational tools open new perspectives for quantum information systems. Here we adopt the open-source programming library TensorFlow to design multi-level quantum gates, including a computing reservoir represented by a random unitary matrix. …

Machine learning for quantum and classical photonic devices (Conference Presentation)

2019

We apply concepts from machine learning to design topological one-dimensional systems. We also use tensorflow and related tools for designing quantum gates for multilevel qdits with random and unknown media. We report on experiments concerning …

Spatial ising machines

2020

We review our results on Ising machines by spatial light modulation. We report on their performance in simulating spin glasses and solving combinatorial optimization problems. We discuss different annealing strategies and recent developments.

Inverse-design of high-dimensional quantum optical circuits in a complex medium

2022 · arXiv (Cornell University)

Programmable optical circuits form a key part of quantum technologies today, ranging from transceivers for quantum communication to integrated photonic chips for quantum information processing. As the size of such circuits is increased, maintaining precise …

Variational quantum algorithm for Gaussian discrete solitons and their boson sampling

2022 · Physical Review A

In the context of quantum information, highly nonlinear regimes, such as those supporting solitons, are marginally investigated. We miss general methods for quantum solitons, although they can act as entanglement generators or as self-organized quantum …