On the Impact of Classical and Quantum Communication Networks Upon Modular Quantum Computing Architecture System Performance
Pau Escofet, Abhijit Das, Sahar Ben Rached, Santiago Rodrigo, Jordi Domingo, Fabio Sebastiano, Masoud Babaie, Batuhan Keskin, Edoardo Charbon, Peter Haring Bol\'ivar, Maurizio Palesi, Elena Blokhina, Bogdan Staszewski, Avishek Nag, Artur Garcia-S\'aez, Sergi Abadal

TL;DR
This paper evaluates how classical and quantum communication networks influence the performance of modular quantum computing architectures, providing insights into bottlenecks, network design, and scalability for systems with over a million qubits.
Contribution
It offers a comprehensive analysis of communication constraints in modular quantum architectures, highlighting conditions where classical communication is non-bottleneck and optimizing quantum link configurations.
Findings
Classical communication is not a bottleneck for systems over one million qubits.
Increasing quantum communication resources reduces execution time.
Optimal quantum link number depends on algorithm and topology.
Abstract
Modular architectures are a promising approach to scaling quantum computers beyond the limits of monolithic designs. However, non-local communications between different quantum processors might significantly impact overall system performance. In this work, we investigate the role of the network infrastructure in modular quantum computing architectures, focusing on coherence loss due to communication constraints. We analyze the impact of classical network latency on quantum teleportation and identify conditions under which it becomes a bottleneck. Additionally, we study different network topologies and assess how communication resources affect the number and parallelization of inter-core communications. Finally, we conduct a full-stack evaluation of the architecture under varying communication parameters, demonstrating how these factors influence the overall system performance. The…
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.
