4 citations · 4 across the 1 of their papers we have counts for
3 papers
Quantum-inspired annealers as Boltzmann generators for machine learning and statistical physics
Alexander E. Ulanov, Egor S. Tiunov, A. I. Lvovsky
Quantum simulators and processors are rapidly improving nowadays, but they are still not able to solve complex and multidimensional tasks of practical value. However, certain numer…
Experimental quantum homodyne tomography via machine learning
E. S. Tiunov, V. V. Tiunova, A. E. Ulanov +2
Complete characterization of states and processes that occur within quantum devices is crucial for understanding and testing their potential to outperform classical technologies fo…
Annealing by simulating the coherent Ising machine
Egor S. Tiunov, Alexander E. Ulanov, A. I. Lvovsky
The coherent Ising machine (CIM) enables efficient sampling of low-lying energy states of the Ising Hamiltonian with all-to-all connectivity by encoding the spins in the amplitudes…