Related Experiment Video
Updated: Jun 6, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Many-body localization in the age of classical computing
Piotr Sierant1, Maciej Lewenstein1,2, Antonello Scardicchio3
1ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain.
The study investigates the conditions for a many-body localization (MBL) phase, where thermalization fails even at infinite system sizes. Numerical findings show persistent drifts towards ergodicity, complicating the understanding of the MBL phase boundary.
Area of Science:
- Quantum physics
- Statistical mechanics
- Condensed matter physics
Background:
- The eigenstate thermalization hypothesis (ETH) explains thermalization in isolated quantum systems via ergodicity and chaos.
- Many-body localization (MBL) is a regime where thermalization fails in disordered systems, but the conditions for a true MBL phase remain unclear.
Purpose of the Study:
- To review recent numerical investigations on the MBL phase.
- To clarify the critical open questions regarding the dynamics of disordered many-body systems.
- To provide a unified understanding of various tools and indicators used to study the breakdown of ergodicity.
Main Methods:
- Analysis of spectral and wave function measures.
- Examination of matrix elements of observables.
- Probing unitary quantum dynamics, transport, and quantum information measures.
- Review of numerical methods for studying ETH and MBL.
Main Results:
- Persistent finite-size drifts towards ergodicity are observed in disordered systems, even at strong disorder.
- These drifts indicate continuous movement towards ergodicity and non-vanishing transport.
- Trends exclude naive single-parameter scaling, necessitating refined scaling procedures.
Conclusions:
- The MBL phase boundary remains elusive due to persistent drifts towards ergodicity.
- Understanding microscopic processes at the ETH-MBL crossover is challenging.
- Further exploration is needed to fully understand thermalization and its failure in disordered many-body systems.
Related Concept Videos
The Pauli Exclusion Principle
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
First Law: Particles in Two-dimensional Equilibrium
Newton's first law tells us about...
First Law: Particles in One-dimensional Equilibrium
Stability of Equilibrium Configuration: Problem Solving
Problem-solving in the context of the stability of equilibrium configuration...
Ampere-Maxwell's Law: Problem-Solving
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...

