Average-exact mixed anomalies and compatible phases
Yichen Xu, Chao-Ming Jian

TL;DR
This paper investigates how mixed quantum anomalies between average and exact symmetries influence disordered systems, revealing new phases like glassy states and average topological orders, supported by solvable models and field theory.
Contribution
It introduces the concept of average-exact mixed anomalies in disordered systems and demonstrates their impact on possible phases, including novel disorder-induced states with no clean-limit equivalents.
Findings
Disordered systems with mixed anomalies cannot be featureless.
Existence of disorder phases with no clean counterparts, such as glassy states.
Construction of solvable models illustrating these anomalous phases.
Abstract
The quantum anomaly of a global symmetry is known to strongly constrain the allowed low-energy physics in a clean and isolated quantum system. However, the effect of quantum anomalies in disordered systems is much less understood, especially when the global symmetry is only preserved on average by the disorder. In this work, we focus on disordered systems with both average and exact symmetries , where the exact symmetry is respected in every disorder configuration, and the average is only preserved on average by the disorder ensemble. When there is a mixed quantum anomaly between the average and exact symmetries, we argue that the mixed state representing the ensemble of disordered ground states cannot be featureless. While disordered mixed states smoothly connected to the anomaly-compatible phases in clean limit are certainly allowed, we also found disordered phases…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Statistical Methods and Models · Mathematical Approximation and Integration · Advanced Clustering Algorithms Research
