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20022004
most citedModel reconstruction of nonlinear dynamical systems driven by noise

8 citations · 15 across the 3 of their papers we have counts for

collaborators

5 papers

cond-mat.dis-nn20045 cited

Approximating satisfiability transition by suppressing fluctuations

S. Knysh, V. N. Smelyanskiy, R. D. Morris

Using methods and ideas from statistical mechanics, we propose a simple method for obtaining rigorous upper bounds for satisfiability transition in random boolean expressions compo…

physics.data-an20038 cited

Model reconstruction of nonlinear dynamical systems driven by noise

V. N. Smelyanskiy, D. A. Timucin, A. Bandrivskyy +1

An efficient technique is introduced for model inference of complex nonlinear dynamical systems driven by noise. The technique does not require extensive global optimization, provi…

quant-ph20022 cited

Total suppression of a large spin tunneling barrier in quantum adiabatic computation

Alex Bulatov, Vadim Smelyanskiy

We apply a quantum adiabatic evolution algorithm to a combinatorial optimization problem where the cost function depends entirely on the of the number of unit bits in a n-bit strin…

quant-ph2002

Dynamics of quantum adiabatic evolution algorithm for Number Partitioning

Vadim N. Smelyanskiy, Udo v. Toussaint, Dogan A. Timucin

We have developed a general technique to study the dynamics of the quantum adiabatic evolution algorithm applied to random combinatorial optimization problems in the asymptotic lim…

quant-ph2002

Simulations of the adiabatic quantum optimization for the Set Partition Problem

V. N. Smelyanskiy, U. V. Toussaint, D. A. Timucin

We analyze the complexity of the quantum optimization algorithm based on adiabatic evolution for the set partition problem. We introduce a cost function defined on a logarithmic sc…