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Exact solution of a percolation analog for the many-body localization transition

Abstract:
We construct and solve a classical percolation model with a phase transition that we argue acts as a proxy for the quantum many-body localization transition. The classical model is defined on a graph in the Fock space of a disordered, interacting quantum spin chain, using a convenient choice of basis. Edges of the graph represent matrix elements of the spin Hamiltonian between pairs of basis states that are expected to hybridize strongly. At weak disorder, all nodes are connected, forming a single cluster. Many separate clusters appear above a critical disorder strength, each typically having a size that is exponentially large in the number of spins but a vanishing fraction of the Fock-space dimension. We formulate a transfer matrix approach that yields an exact value ν = 2 for the localization length exponent, and also use complete enumeration of clusters to study the transition numerically in finite-sized systems.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1103/PhysRevB.99.220201

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Institution:
University of Oxford
Department:
Chemistry: Physical and Theoretical Chemistry Laboratory
Oxford college:
University College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Sub department:
Physical & Theoretical Chem
Oxford college:
University College
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Physics: Theoretical Physics
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0003-4369-6071


Publisher:
American Physical Society
Host title:
Physical Review Letters
Volume:
99
Issue:
22
Pages:
220201
Series:
Physical Review Letters
Publication date:
2019-06-27
Acceptance date:
2019-06-18
DOI:
EISSN:
1079-7114
ISSN:
0031-9007
Paper number:
99


Language:
English
Keywords:
Pubs id:
pubs:952981
UUID:
uuid:5eaab509-60c3-4a0e-a55d-330f064665a3
Local pid:
pubs:952981
Source identifiers:
952981
Deposit date:
2018-12-19

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