Measurement-induced phase transitions by matrix product states scaling

Understand

We study the time evolution of long quantum spin chains subjected to continuous monitoring via matrix product states (MPS) at fixed bond dimension, with the Time-Dependent Variational Principle (TDVP) algorithm.

• The latter gives an effective classical non-linear evolution with a conserved charge, which approximates the real quantum evolution up to an error.
• We show that the error rate displays a phase transition in the monitoring strength, which can be well detected by scaling analysis with relatively low values of bond dimensions.
• The method allows for an efficient numerical determination of the critical measurement-induced phase transition parameters in many-body quantum systems.