Dynamical symmetry breaking with optimal control: reducing the number of pieces
classification
❄️ cond-mat.stat-mech
quant-ph
keywords
controldefectsdynamicalnumberoptimalparametersystemtime
read the original abstract
We analyse the production of defects during the dynamical crossing of a mean-field phase transition with a real order parameter. When the parameter that brings the system across the critical point changes in time according to a power-law schedule, we recover the predictions dictated by the well-known Kibble-Zurek theory. For a fixed duration of the evolution, we show that the average number of defects can be drastically reduced for a very large but finite system, by optimising the time dependence of the driving using optimal control techniques. Furthermore, the optimised protocol is robust against small fluctuations.
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