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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

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quant-ph2026

Fast thermal state preparation beyond native interactions

Alexander van Lomwel, Paul M. Schindler, Modesto Orozco-Ruiz +3

While questions on quantum simulation of ground state physics are mostly focussed on the realization of effective interactions, most work on quantum simulation of thermal physics e…

quant-ph2025★ 2 cited

Walsh-Floquet Theory of Periodic Kick Drives

James Walkling, Marin Bukov

Periodic kick drives are ubiquitous in digital quantum control, computation, and simulation, and are instrumental in studies of chaos and thermalization for their efficient represe…

quant-ph2024★ 13 cited

Geometric Floquet theory

Paul M. Schindler, Marin Bukov

We derive Floquet theory from quantum geometry. We identify quasienergy folding as a consequence of a broken gauge group of the adiabatic gauge potential .…

quant-ph2024★ 8 cited

Sensing with discrete time crystals

Leo Joon Il Moon, Paul M. Schindler, Ryan J. Smith +4

Prethermal discrete time crystals (PDTCs) are a nonequilibrium state of matter characterized by long-range spatiotemporal order, and exhibiting a subharmonic response stabilized by…

quant-ph2024★ 4 cited

Floquet-engineered Emergent Massive Nambu-Goldstone Modes

Yang Hou, Zhanpeng Fu, Roderich Moessner +2

We present a general framework to implement massive Nambu-Goldstone quasi-particles in driven many-body systems. The underlying mechanism leverages an explicit Lie group structure…

quant-ph2024

Learning effective Hamiltonians for adaptive time-evolution quantum algorithms

Hongzheng Zhao, Ao Chen, Shu-Wei Liu +3

Digital quantum simulation of many-body dynamics relies on Trotterization to decompose the target time evolution into elementary quantum gates operating at a fixed equidistant time…

quant-ph2024★ 11 cited

Experimental observation of a time rondeau crystal: Temporal Disorder in Spatiotemporal Order

Leo Joon Il Moon, Paul Manuel Schindler, Yizhe Sun +6

Our understanding of phases of matter relies on symmetry breaking, one example being water ice whose crystalline structure breaks the continuous translation symmetry of space. Rece…

quant-ph2024★ 3 cited

Engineering Hierarchical Symmetries

Zhanpeng Fu, Roderich Moessner, Hongzheng Zhao +1

The capacity to custom tailor the properties of quantum matter and materials is a central requirement for enlarging their range of possible functionalities. A particularly promisin…

quant-ph2023★ 4 cited

Nanoscale engineering and dynamical stabilization of mesoscopic spin textures

Kieren Harkins, Christoph Fleckenstein, Noella D'Souza +16

Thermalization phenomena, while ubiquitous in quantum systems, have traditionally been viewed as obstacles to be mitigated. In this study, we demonstrate the ability, instead, to h…

quant-ph2023★ 18 cited

Counterdiabatic Driving for Periodically Driven Systems

Paul Manuel Schindler, Marin Bukov

Periodically driven systems have emerged as a useful technique to engineer the properties of quantum systems, and are in the process of being developed into a standard toolbox for…

quant-ph2023★ 10 cited

Reconstructing effective Hamiltonians from nonequilibrium (pre-)thermal steady states

Sourav Nandy, Markus Schmitt, Marin Bukov +1

Reconstructing Hamiltonians from local measurements is key to enabling reliable quantum simulation: both validating the implemented model, and identifying any left-over terms with…

quant-ph2023★ 14 cited

Adaptive Trotterization for time-dependent Hamiltonian quantum dynamics using piecewise conservation laws

Hongzheng Zhao, Marin Bukov, Markus Heyl +1

Digital quantum simulation relies on Trotterization to discretize time evolution into elementary quantum gates. On current quantum processors with notable gate imperfections, there…

quant-ph2022★ 7 cited

Making Trotterization adaptive and energy-self-correcting for NISQ devices and beyond

Hongzheng Zhao, Marin Bukov, Markus Heyl +1

Simulation of continuous time evolution requires time discretization on both classical and quantum computers. A finer time step improves simulation precision, but it inevitably lea…

quant-ph2022★ 3 cited

Continuously tracked, stable, large excursion trajectories of dipolar coupled nuclear spins

Ozgur Sahin, Hawraa Al Asadi, Paul Schindler +9

We report an experimental approach to excite, stabilize, and continuously track Bloch sphere orbits of dipolar-coupled nuclear spins in a solid. We demonstrate these results on a m…

quant-ph2022★ 46 cited

Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks

Friederike Metz, Marin Bukov

Quantum many-body control is a central milestone en route to harnessing quantum technologies. However, the exponential growth of the Hilbert space dimension with the number of qubi…

quant-ph2022★ 51 cited

Observation of a critical prethermal discrete time crystal created by two-frequency driving

William Beatrez, Christoph Fleckenstein, Arjun Pillai +8

We report the observation of long-lived Floquet prethermal discrete time crystalline (PDTC) order in a three-dimensional position-disordered lattice of interacting dipolar-coupled…

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…

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…

quant-ph2017★ 309 cited

Reinforcement Learning in Different Phases of Quantum Control

Marin Bukov, Alexandre G. R. Day, Dries Sels +3

The ability to prepare a physical system in a desired quantum state is central to many areas of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet,…