Quick Navigation
Topics
Quantum Algorithms
Driven Critical Dynamics in Measurement-induced Phase Transitions
arXiv
Authors: Wantao Wang, Shuo Liu, Jiaqiang Li, Shi-Xin Zhang, Shuai Yin
Year
2024
Paper ID
36935
Status
Preprint
Abstract Read
~2 min
Abstract Words
219
Citations
N/A
Abstract
Measurement-induced phase transitions (MIPT), characterizing abrupt changes in entanglement properties in quantum many-body systems subjected to unitary evolution with interspersed projective measurements, have garnered increasing interest. In this work, we generalize the Kibble-Zurek (KZ) driven critical dynamics that has achieved great success in traditional quantum and classical phase transitions to MIPT. By linearly changing the measurement probability p to cross the critical point pc with driving velocity R, we identify the dynamic scaling relation of the entanglement entropy S versus R at pc. For decreasing p from the area-law phase, S satisfies Spropto ln R; while for increasing p from the volume-law phase, S satisfies Spropto R1/r in which r=z+1/ν with z and ν being the dynamic and correlation length exponents, respectively. Moreover, we find that the driven dynamics from the volume-law phase violates the adiabatic-impulse scenario of the KZ mechanism. In spite of this, a unified finite-time scaling (FTS) form can be developed to describe these scaling behaviors. Besides, the dynamic scaling of the entanglement entropy of an auxiliary qubit SQ is also investigated to further confirm the universality of the FTS form. By successfully establishing the driven dynamic scaling theory of this newfashioned entanglement transition, we bring a new fundamental perspective into MIPT that can be detected in fast-developing quantum computers.
Why This Paper Matters
- It adds a 2024 reference point for readers tracking recent quantum research.
- Measurement-induced phase transitions (MIPT), characterizing abrupt changes in entanglement properties in quantum many-body systems subjected to unitary evolution with...
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper arXiv Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.