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Updated: Jan 25, 2026
08:02
Generation of Local CA1 γ Oscillations by Tetanic Stimulation
Published on: August 14, 2015
9.5K
From Bloch oscillations to many-body localization in clean interacting systems
Evert van Nieuwenburg1, Yuval Baum2, Gil Refael2
1Institute of Quantum Information and Matter, California Institute of Technology, Pasadena, CA 91125 evert@caltech.edu.
Summary
Nonrandom mechanisms, like linear potentials, can cause many-body localization in interacting systems, even without disorder. This finding suggests new experimental avenues for exploring this quantum phenomenon.
Area of Science:
- Quantum physics
- Condensed matter physics
- Statistical mechanics
Background:
- Disorder-free quantum systems can exhibit single-particle localization (Wannier-Stark localization) in the presence of a linear potential.
- Interactions in such systems can lead to complex phenomena, including many-body localization (MBL).
Purpose of the Study:
- To investigate whether nonrandom mechanisms, specifically a linear potential, can induce many-body localization in interacting spin and fermion systems.
- To explore the conditions under which these systems fail to thermalize.
Main Methods:
- Analysis of interacting spin and fermion models subjected to a linear potential.
- Investigation of spectral and dynamical properties to detect nonergodic behavior.
- Application of machine-learning techniques to calculate level statistics without Hamiltonian diagonalization.
Main Results:
- Demonstration that nonrandom mechanisms (linear potential) can lead to many-body localization in the absence of disorder.
- Identification of a critical potential gradient beyond which systems exhibit nonergodic behavior.
- Confirmation of non-thermalizing behavior in these generic, disorder-free models.
- Development of a machine-learning approach for efficient calculation of system-level statistics.
Conclusions:
- Interacting systems with a linear potential provide a new class of disorder-free models exhibiting many-body localization.
- These findings offer novel experimental platforms for studying MBL and non-thermalizing quantum dynamics.
- Machine learning offers an efficient computational tool for characterizing quantum many-body systems.
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