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 81 tok/s
Gemini 2.5 Pro 44 tok/s Pro
GPT-5 Medium 22 tok/s Pro
GPT-5 High 25 tok/s Pro
GPT-4o 81 tok/s Pro
Kimi K2 172 tok/s Pro
GPT OSS 120B 434 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

Estimating entanglement monotones of non-pure spin-squeezed states (2504.07814v1)

Published 10 Apr 2025 in quant-ph

Abstract: We investigate how to estimate entanglement monotones of general mixed many-body quantum states via lower and upper bounds from entanglement witnesses and separable ansatz states respectively. This allows us to study spin systems on fully-connected graphs at nonzero temperature. We derive lower bounds to distance-like measure from the set of fully separable states based on spin-squeezing inequalities. These are nonlinear expressions based on variances of collective spin operators and are potentially close to optimal in the large particle-number limit, at least for models with two-particle interactions. Concretely, we apply our methods to equilibrium states of the permutation-invariant XXZ model with an external field and investigate entanglement at nonzero temperature close to quantum phase transition (QPT) points in both the ferromagnetic and anti-ferromagnetic cases. We observe that the lower bound becomes tight for zero temperature as well as for the temperature at which entanglement disappears, both of which are thus precisely captured by the spin-squeezing inequalities. We further observe, among other things, that entanglement arises at nonzero temperature close to a QPT even in the ordered phase, where the ground state is separable. This can be considered an entanglement signature of a QPT that may also be visible in experiments.

Summary

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

Lightbulb On 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.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 post and received 5 likes.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube