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Measurement-induced phase transitions by matrix product states scaling

Guillaume Cecile, Hugo Lóio, Jacopo De Nardis

2024Physical Review Research11 citationsDOIOpen Access PDF

Abstract

We study the time evolution of long quantum spin chains subjected to continuous monitoring projected on matrix product states (MPS) with fixed bond dimension, by means of the Time-Dependent Variational Principle (TDVP) algorithm. The latter gives an effective unitary evolution which approximates the real quantum evolution up to the projection error. We show that such error displays, at large times, a phase transition in the monitoring strength, which can be well detected by scaling analysis with relatively low values of bond dimensions. Moreover, in the presence of <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"> <a:mrow> <a:mi>U</a:mi> <a:mo>(</a:mo> <a:mn>1</a:mn> <a:mo>)</a:mo> </a:mrow> </a:math> global spin charge, we show the existence of a charge-sharpening transition well separated from the entanglement transition which we detect by studying the charge fluctuations of a local subpart of the system at large times. Our work shows that quantum monitored dynamics projected on MPS manifolds contains relevant information on measurement-induced phase transitions and provides a new method to identify measured-induced phase transitions in systems of arbitrary dimensions and sizes. Published by the American Physical Society 2024

Topics & Concepts

ScalingMatrix (chemical analysis)Product (mathematics)Statistical physicsPhase (matter)PhysicsMaterials scienceMathematicsQuantum mechanicsGeometryComposite materialQuantum many-body systemsModel Reduction and Neural NetworksOpinion Dynamics and Social Influence