The bandwidth limit between cryogenic and room-temperature environments is a critical bottleneck in superconducting noisy intermediate-scale quantum computers. This paper presents the first trial of algorithm-aware system-level optimization to solve this issue by targeting the quantum approximate optimization algorithm. Our counter-based cryogenic architecture using single-flux quantum logic shows exponential bandwidth reduction and decreases heat inflow and peripheral power consumption of inter-temperature cables, which contributes to the scalability of superconducting quantum computers.
@article{arxiv.2310.01630,
title = {Inter-temperature Bandwidth Reduction in Cryogenic QAOA Machines},
author = {Yosuke Ueno and Yuna Tomida and Teruo Tanimoto and Masamitsu Tanaka and Yutaka Tabuchi and Koji Inoue and Hiroshi Nakamura},
journal= {arXiv preprint arXiv:2310.01630},
year = {2023}
}