Exponential acceleration of macroscopic quantum tunneling in a Floquet Ising model

George Grattan; Brandon A. Barton; Sean Feeney; Gianni Mossi; Pratik Patnaik; Jacob C. Sagal; Lincoln D. Carr; Vadim Oganesyan; Eliot Kapit

arXiv · 2311.17814

Exponential acceleration of macroscopic quantum tunneling in a Floquet Ising model

George Grattan·Brandon A. Barton·Sean Feeney·Gianni Mossi·Pratik Patnaik·Jacob C. Sagal·Lincoln D. Carr·Vadim Oganesyan·Eliot Kapit

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Abstract

The exponential suppression of macroscopic quantum tunneling (MQT) in the number of elements to be reconfigured is an essential element of broken symmetry phases. This suppression is also a core bottleneck in quantum algorithms, such as traversing an energy landscape in optimization, and adiabatic state preparation more generally. In this work, we demonstrate exponential acceleration of MQT through Floquet engineering with the application of a uniform, high frequency transverse drive field. Using the ferromagnetic phase of the transverse field Ising model in one and two dimensions as a prototypical example, we identify three phenomenological regimes as a function of drive strength. For weak drives, the system exhibits exponentially decaying tunneling rates but robust magnetic order; in the crossover regime at intermediate drive strength, we find polynomial decay of tunnelling alongside vanishing magnetic order; and at very strong drive strengths both the Rabi frequency and time-averaged magnetic order are approximately constant with increasing system size. We support these claims with extensive full wavefunction and tensor network numerical simulations, and theoretical analysis. An experimental test of these results presents a technologically important and novel scientific question accessible on NISQ-era quantum computers.

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George Grattan, Brandon A. Barton, Sean Feeney, Gianni Mossi, Pratik Patnaik, Jacob C. Sagal, Lincoln D. Carr, Vadim Oganesyan, Eliot Kapit. 2023-11-29. Exponential acceleration of macroscopic quantum tunneling in a Floquet Ising model. https://arxiv.org/abs/2311.17814

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