Scheme to Detect the Strong-to-weak Symmetry Breaking via Randomized Measurements
Ning Sun, Pengfei Zhang, and Lei Feng

TL;DR
This paper introduces a practical randomized measurement protocol to detect strong-to-weak symmetry breaking in quantum many-body systems, enabling experimental exploration of novel quantum phases in mixed states.
Contribution
The authors propose a new randomized measurement scheme to detect symmetry breaking, allowing experimental identification of phase boundaries in mixed quantum states.
Findings
Protocol accurately detects symmetry breaking with large samples.
Small sample size provides decent phase boundary estimates.
Numerical simulations demonstrate effectiveness in Ising chains.
Abstract
Symmetry breaking plays a central role in classifying the phases of quantum many-body systems. Recent developments have highlighted a novel symmetry-breaking pattern, in which the strong symmetry of a density matrix spontaneously breaks to the week symmetry. This strong-to-weak symmetry breaking is typically detected using multi-replica correlation functions, such as the R\'enyi-2 correlator. In this letter, we propose a practical protocol for detecting strong-to-weak symmetry breaking in experiments using the randomized measurement toolbox. Our scheme involves collecting the results of random Pauli measurements for (i) the original quantum state and (ii) the quantum state after evolution with the charged operators. Based on the measurement results, with a large number of samples, we can obtain the exact solution to the R\'enyi-2 correlator. With a small sample size, we can still…
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
TopicsAtomic and Subatomic Physics Research · Fractal and DNA sequence analysis · Advanced NMR Techniques and Applications
