Post-selected Criticality in Measurement-induced Phase Transitions
arXiv QuantumArchived Mar 18, 2026✓ Full text saved
arXiv:2603.15744v1 Announce Type: new Abstract: Information-theoretic phase transitions, such as the measurement-induced phase transition (MIPT), characterize the robustness of quantum dynamics to local monitoring and are naturally formulated in terms of trajectories conditioned on typical measurement outcomes, which are naively accessible only through post-selection. Here we implement forced measurements to investigate how explicit post-selection alters the nature of the transition. We find tha
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Quantum Physics
[Submitted on 16 Mar 2026]
Post-selected Criticality in Measurement-induced Phase Transitions
Dolly Nambi, Kabir Khanna, Andrew Allocca, Thomas Iadecola, Ciarán Hickey, Romain Vasseur, Justin H. Wilson
Information-theoretic phase transitions, such as the measurement-induced phase transition (MIPT), characterize the robustness of quantum dynamics to local monitoring and are naturally formulated in terms of trajectories conditioned on typical measurement outcomes, which are naively accessible only through post-selection. Here we implement forced measurements to investigate how explicit post-selection alters the nature of the transition. We find that post-selection fundamentally alters the universality class by reweighting trajectories that are otherwise rare. In particular, we obtain a correlation-length exponent \nu\approx 2.1 larger than that of the standard MIPT and a negative effective central charge c_\mathrm{eff}\approx -0.4. We also compare the post-selected MIPT to the entanglement transition of Random Tensor Networks (RTN), and demonstrate that their universality class is the same. This setup further allows time-periodic, translationally-invariant circuits with post-selected weak measurements. In both models, we find that an onsite dimension of at least 3 (qutrits but not qubits) is necessary to induce a transition.
Comments: 5+2 pages, 3+5 figures
Subjects: Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech); Strongly Correlated Electrons (cond-mat.str-el)
Cite as: arXiv:2603.15744 [quant-ph]
(or arXiv:2603.15744v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2603.15744
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From: Dolly Nambi [view email]
[v1] Mon, 16 Mar 2026 18:00:04 UTC (1,265 KB)
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