193 citations · 754 across the 33 of their papers we have counts for
4 papers · 1 filter
Quantum Model-Discovery
Niklas Heim, Atiyo Ghosh, Oleksandr Kyriienko +1
Quantum computing promises to speed up some of the most challenging problems in science and engineering. Quantum algorithms have been proposed showing theoretical advantages in app…
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
We propose a quantum algorithm for sampling from a solution of stochastic differential equations (SDEs). Using differentiable quantum circuits (DQCs) with a feature map encoding of…
Generalized quantum circuit differentiation rules
Oleksandr Kyriienko, Vincent E. Elfving
Variational quantum algorithms that are used for quantum machine learning rely on the ability to automatically differentiate parametrized quantum circuits with respect to underlyin…
Machine learning of phase transitions in nonlinear polariton lattices
D. Zvyagintseva, H. Sigurdsson, V. K. Kozin +4
Polaritonic lattices offer a unique testbed for studying nonlinear driven-dissipative physics. They show qualitative changes of a steady state as a function of system parameters, w…