activity
20122026
most citedUniversal High-Frequency Behavior of Periodically Driven Systems: from Dynamical Stabilization to Floquet Engineering

1.3k citations · 4.9k across the 50 of their papers we have counts for

collaborators
Showing 2018Show all

8 papers · 1 filter

cond-mat.quant-gas2018★ 70 cited

Reinforcement learning for autonomous preparation of Floquet-engineered states: Inverting the quantum Kapitza oscillator

Marin Bukov

I demonstrate the potential of reinforcement learning (RL) to prepare quantum states of strongly periodically driven non-linear single-particle models. The ability of Q-Learning to…

quant-ph2018★ 48 cited

Parametric instabilities in a 2D periodically-driven bosonic system: Beyond the weakly-interacting regime

T. Boulier, J. Maslek, M. Bukov +6

We experimentally investigate the effects of parametric instabilities on the short-time heating process of periodically-driven bosons in 2D optical lattices with a continuous trans…

cond-mat.quant-gas2018★ 47 cited

Parametric instabilities of interacting bosons in periodically-driven 1D optical lattices

K. Wintersperger, M. Bukov, J. Näger +6

Periodically-driven quantum systems are currently explored in view of realizing novel many-body phases of matter. This approach is particularly promising in gases of ultracold atom…

physics.comp-ph2018★ 335 cited

QuSpin: a Python Package for Dynamics and Exact Diagonalisation of Quantum Many Body Systems. Part II: bosons, fermions and higher spins

Phillip Weinberg, Marin Bukov

We present a major update to QuSpin, SciPostPhys.2.1.003 -- an open-source Python package for exact diagonalization and quantum dynamics of arbitrary boson, fermion and spin many-b…

quant-ph2018★ 92 cited

Geometric Speed Limit of Accessible Many-Body State Preparation

Marin Bukov, Dries Sels, Anatoli Polkovnikov

We analyze state preparation within a restricted space of local control parameters between adiabatically connected states of control Hamiltonians. We formulate a conjecture that th…

quant-ph2018★ 69 cited

Glassy Phase of Optimal Quantum Control

Alexandre G. R. Day, Marin Bukov, Phillip Weinberg +2

We study the problem of preparing a quantum many-body system from an initial to a target state by optimizing the fidelity over the family of bang-bang protocols. We present compell…

physics.comp-ph2018★ 932 cited

A high-bias, low-variance introduction to Machine Learning for physicists

Pankaj Mehta, Marin Bukov, Ching-Hao Wang +4

Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this review is to provide an introduction to the core concept…

cond-mat.stat-mech2018★ 79 cited

Asymptotic Prethermalization in Periodically Driven Classical Spin Chains

Owen Howell, Phillip Weinberg, Dries Sels +2

We reveal a continuous dynamical heating transition between a prethermal and an infinite-temperature stage in a clean, chaotic periodically driven classical spin chain. The transit…