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 71 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 27 tok/s Pro
GPT-5 High 30 tok/s Pro
GPT-4o 93 tok/s Pro
Kimi K2 207 tok/s Pro
GPT OSS 120B 460 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Phase Transition in the Quantum Capacity of Quantum Channels (2408.05733v4)

Published 11 Aug 2024 in quant-ph

Abstract: Determining the capacities of quantum channels is one of the fundamental problems of quantum information theory. This problem is extremely challenging and technically difficult, allowing only lower and upper bounds to be calculated for certain types of channels. In this paper, we prove that every quantum channel $\Lambda$ in arbitrary dimension, when contaminated by white noise in the form $\Lambda_x(\rho)=(1-x)\Lambda(\rho)+x\tr(\rho) \frac{I}{d}$, completely loses its capacity of transmitting quantum states when $x\geq \frac{1}{2}$, no matter what type of encoding and decoding is used. In other words, the quantum capacity of the channel vanishes in this region. To show this, we find a channel ${\cal N}_x$, which anti-degrades the depolarizing channel when $x\geq \frac{1}{2}$. We also find the quantum capacity of the complement of the depolarizing channel in closed form. Besides the erasure channel, this is the only example of a parameteric channel in arbitrary dimension for which the quantum capacity has been calculated in closed form.

Summary

We haven't generated a summary for 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.

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

Tweets

This paper has been mentioned in 1 post and received 0 likes.