Papers
Topics
Authors
Recent
AI Research 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 89 tok/s
Gemini 2.5 Pro 43 tok/s Pro
GPT-5 Medium 24 tok/s Pro
GPT-5 High 24 tok/s Pro
GPT-4o 112 tok/s Pro
Kimi K2 199 tok/s Pro
GPT OSS 120B 449 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

Network-assisted collective operations for efficient distributed quantum computing (2502.19118v1)

Published 26 Feb 2025 in quant-ph

Abstract: We propose protocols for the distribution of collective quantum operations between remote quantum processing units (QPUs), a requirement for distributed quantum computing. Using only local operations and classical communication (LOCC), these protocols allow for collective multicontrolled and multitarget gates to be executed in network architectures similar to those used for high-performance computing. The types of gates that can be implemented following this scheme are discussed. The Bell pair cost for a single distributed multicontrolled gate is estimated, arriving to a single additional Bell pair over the theoretically optimal calculation with pre-shared entanglement, demonstrating better scalability when compared to current proposals based on entanglement swapping through a network, and bounds are calculated for general diagonal gates. A recipe is provided for the lumped distribution of gates such as arbitrarily-sized Toffoli and multicontrolled Z, and $R_{zz}(\theta)$ gates. Finally, we provide an exact implementation of a distributed Grover's search algorithm using this protocol to partition the circuit, with Bell pair cost growing linearly with the number of Grover iterations and the number of partitions.

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 3 likes.

Youtube Logo Streamline Icon: https://streamlinehq.com

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