Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 172 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 39 tok/s Pro
GPT-5 High 32 tok/s Pro
GPT-4o 81 tok/s Pro
Kimi K2 192 tok/s Pro
GPT OSS 120B 442 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Toward Instance-Optimal State Certification With Incoherent Measurements (2102.13098v2)

Published 25 Feb 2021 in quant-ph, cs.DS, and cs.LG

Abstract: We revisit the basic problem of quantum state certification: given copies of unknown mixed state $\rho\in\mathbb{C}{d\times d}$ and the description of a mixed state $\sigma$, decide whether $\sigma = \rho$ or $|\sigma - \rho|{\mathsf{tr}} \ge \epsilon$. When $\sigma$ is maximally mixed, this is mixedness testing, and it is known that $\Omega(d{\Theta(1)}/\epsilon2)$ copies are necessary, where the exact exponent depends on the type of measurements the learner can make [OW15, BCL20], and in many of these settings there is a matching upper bound [OW15, BOW19, BCL20]. Can one avoid this $d{\Theta(1)}$ dependence for certain kinds of mixed states $\sigma$, e.g. ones which are approximately low rank? More ambitiously, does there exist a simple functional $f:\mathbb{C}{d\times d}\to\mathbb{R}{\ge 0}$ for which one can show that $\Theta(f(\sigma)/\epsilon2)$ copies are necessary and sufficient for state certification with respect to any $\sigma$? Such instance-optimal bounds are known in the context of classical distribution testing, e.g. [VV17]. Here we give the first bounds of this nature for the quantum setting, showing (up to log factors) that the copy complexity for state certification using nonadaptive incoherent measurements is essentially given by the copy complexity for mixedness testing times the fidelity between $\sigma$ and the maximally mixed state. Surprisingly, our bound differs substantially from instance optimal bounds for the classical problem, demonstrating a qualitative difference between the two settings.

Citations (19)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.