@article{204431,
  author = {James Ang and Gabriella Carini and Yanzhu Chen and Isaac Chuang and Michael DeMarco and Sophia Economou and Alec Eickbusch and Andrei Faraon and Kai-Mei Fu and Steven Girvin and Michael Hatridge and Andrew A. Houck and Paul Hilaire and Kevin Krsulich and Ang Li and Chenxu Liu and Yuan Liu and Margaret Martonosi and David McKay and Jim Misewich and Mark Ritter and Robert Schoelkopf and Samuel Stein and Sara Sussman and Hong Tang and Wei Tang and Teague Tomesh and Norm Tubman and Chen Wang and Nathan Wiebe and Yongxin Yao and Dillon Yost and Yiyu Zhou},
  title = {ARQUIN: Architectures for Multinode Superconducting Quantum Computers},
  abstract = {<p>Many proposals to scale quantum technology rely on modular or distributed designs wherein individual quantum processors, called nodes, are linked together to form one large multinode quantum computer (MNQC). One scalable method to construct an MNQC is using superconducting quantum systems with optical interconnects. However, internode gates in these systems may be two to three orders of magnitude noisier and slower than local operations. Surmounting the limitations of internode gates will require improvements in entanglement generation, use of entanglement distillation, and optimized software and compilers. Still, it remains unclear what performance is possible with current hardware and what performance algorithms require. In this article, we employ a systems analysis approach to quantify overall MNQC performance in terms of hardware models of internode links, entanglement distillation, and\&nbsp;{\textellipsis}</p>},
  year = {2024},
  journal = {ACM Transactions on Quantum Computing},
  month = {09/2024},
  url = {https://dl.acm.org/doi/full/10.1145/3674151},
  language = {eng},
}