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Unscrambling of single-particle wave functions in systems localized through disorder and monitoring

Abstract:
In systems undergoing localization-delocalization quantum phase transitions due to disorder or monitoring, there is a crucial need for robust methods capable of distinguishing phases and uncovering their intrinsic properties. In this paper, we develop a process of finding a Slater determinant representation of free-fermion wave functions that accurately characterizes localized particles, a procedure we dub "unscrambling."The central idea is to minimize the overlap between envelopes of single-particle wave functions or, equivalently, to maximize the inverse participation ratio of each orbital. This numerically efficient methodology can differentiate between distinct types of wave functions: exponentially localized, power-law localized, and conformal critical, also revealing the underlying physics of these states. The method is readily extendable to systems in higher dimensions. Furthermore, we apply this approach to a more challenging problem involving disordered monitored free fermions in one dimension, where the unscrambling process unveils the presence of a conformal critical phase and a localized area-law quantum Zeno phase. Importantly, our method can also be extended to free fermion systems without particle number conservation, which we demonstrate by estimating the phase diagram of Z2-symmetric disordered monitored free fermions. Our results unlock the potential of utilizing single-particle wave functions to gain valuable insights into the localization transition properties in systems such as monitored free fermions and disordered models.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1103/physrevb.110.024303

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0003-0850-0571


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Funder identifier:
https://ror.org/0472cxd90


Publisher:
American Physical Society
Journal:
Physical Review B More from this journal
Volume:
110
Issue:
2
Article number:
024303
Publication date:
2024-07-01
Acceptance date:
2024-06-21
DOI:
EISSN:
2469-9969
ISSN:
2469-9950


Language:
English
Pubs id:
2098205
Local pid:
pubs:2098205
Deposit date:
2025-04-07
ARK identifier:

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