Bounding the Sample Fluctuation for Pure States Certification with Local Random Measurement
Langxuan Chen, Pengfei Zhang

TL;DR
This paper establishes bounds on sample fluctuations in certifying pure quantum states using local random measurements, highlighting the relationship between operator complexity and certification efficiency.
Contribution
It derives fundamental bounds for sample fluctuations in pure state certification protocols based on local Haar measurements, independent of estimator specifics.
Findings
Bounds depend on operator size distribution and reduced density matrix variation.
Operator complexity limits the efficiency of local pure state certification.
Results reveal intrinsic challenges in certifying states with long-range entanglement.
Abstract
Remarkable breakthroughs in quantum science and technology are demanding for more efficient methods in analyzing quantum many-body states. A significant challenge in this field is to verify whether a quantum state prepared by quantum devices in the lab accurately matches the desired target pure state. Recent advancements in randomized measurement techniques have provided fresh insights in this area. Specifically, protocols such as classical shadow tomography and shadow overlap have been proposed. Building on these developments, we investigate the fundamental properties of schemes that certify pure quantum states through random local Haar measurements. We derive bounds for sample fluctuations that are applicable regardless of the specific estimator construction. These bounds depend on the operator size distribution of either the observable used to estimate fidelity or the valid variation…
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
TopicsTheoretical and Computational Physics · Quantum Mechanics and Applications
