Results 31 to 40 of about 1,298 (98)

Decoherence, einselection, and the quantum origins of the classical

open access: yes, 2003
Decoherence is caused by the interaction with the environment. Environment monitors certain observables of the system, destroying interference between the pointer states corresponding to their eigenvalues. This leads to environment-induced superselection
Adler, S. L.   +264 more
core   +2 more sources

A model for quantum queue

open access: yes, 2012
We consider an extension of Discrete Time Markov Chain queueing model to the quantum domain by use of Discrete Time Quantum Markov Chain. We introduce methods for numerical analysis of such models.
Gawron, Piotr   +2 more
core   +1 more source

Bifurcation results for a fractional elliptic equation with critical exponent in R^n

open access: yes, 2016
In this paper we study some nonlinear elliptic equations in $\R^n$ obtained as a perturbation of the problem with the fractional critical Sobolev exponent, that is $$ (-\Delta)^s u = \epsilon\,h\,u^q + u^p \ {{in}}\R^n,$$ where $s\in(0,1)$, $n>4s ...
Dipierro, Serena   +3 more
core   +1 more source

Models and Feedback Stabilization of Open Quantum Systems [PDF]

open access: yes, 2015
At the quantum level, feedback-loops have to take into account measurement back-action. We present here the structure of the Markovian models including such back-action and sketch two stabilization methods: measurement-based feedback where an open ...
Rouchon, Pierre
core  

A bootstrap method for sum-of-poles approximations [PDF]

open access: yes, 2012
A bootstrap method is presented for finding efficient sum-of-poles approximations of causal functions. The method is based on a recursive application of the nonlinear least squares optimization scheme developed in (Alpert et al. in SIAM J. Numer.
A. Laub   +48 more
core   +1 more source

Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization [PDF]

open access: yes, 2017
Due to their simplicity and excellent performance, parallel asynchronous variants of stochastic gradient descent have become popular methods to solve a wide range of large-scale optimization problems on multi-core architectures.
Lacoste-Julien, Simon   +2 more
core   +1 more source

Stochastic Frank-Wolfe Methods for Nonconvex Optimization

open access: yes, 2016
We study Frank-Wolfe methods for nonconvex stochastic and finite-sum optimization problems. Frank-Wolfe methods (in the convex case) have gained tremendous recent interest in machine learning and optimization communities due to their projection-free ...
Poczos, Barnabas   +3 more
core   +1 more source

Hamiltonian elliptic systems: a guide to variational frameworks

open access: yes, 2014
Consider a Hamiltonian system of type \[ -\Delta u=H_{v}(u,v),\ -\Delta v=H_{u}(u,v) \ \ \text{ in } \Omega, \qquad u,v=0 \text{ on } \partial \Omega \] where $H$ is a power-type nonlinearity, for instance $H(u,v)= |u|^p/p+|v|^q/q$, having subcritical ...
Bonheure, Denis   +2 more
core   +1 more source

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives [PDF]

open access: yes, 2014
In this work we introduce a new optimisation method called SAGA in the spirit of SAG, SDCA, MISO and SVRG, a set of recently proposed incremental gradient algorithms with fast linear convergence rates.
Bach, Francis   +2 more
core   +5 more sources

Multimode optomechanical system in the quantum regime

open access: yes, 2016
We realise a simple and robust optomechanical system with a multitude of long-lived ($Q>10^7$) mechanical modes in a phononic-bandgap shielded membrane resonator.
Møller, Christoffer B.   +4 more
core   +1 more source

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