90 citations · 138 across the 4 of their papers we have counts for
4 papers
Nonlinear Statistical Modelling and Model Discovery for Cardiorespiratory Data
D. G. Luchinsky, V. N. Smelyanskiy, M. M. Millonas +2
We present a Bayesian dynamical inference method for characterizing cardiorespiratory (CR) dynamics in humans by inverse modelling from blood pressure time-series data. This new me…
Inference of a nonlinear stochastic model of the cardiorespiratory interaction
V. N. Smelyanskiy, D. G. Luchinsky, A. Stefanovska +1
A new technique is introduced to reconstruct a nonlinear stochastic model of the cardiorespiratory interaction. Its inferential framework uses a set of polynomial basis functions r…
Quantum adiabatic optimization and combinatorial landscapes
V. N. Smelyanskiy, S. Knysh, R. D. Morris
In this paper we analyze the performance of the Quantum Adiabatic Evolution algorithm on a variant of Satisfiability problem for an ensemble of random graphs parametrized by the ra…
Quantum Adiabatic Algorithm and Large Spin Tunnelling
A. Boulatov, V. N. Smelyanskiy
We provide a theoretical study of the quantum adiabatic evolution algorithm with different evolution paths proposed in [E. Farhi, et al., arXiv:quant-ph/0208135]. The algorithm is…