C3-VQA: Cryogenic Counter-based Co-processor for Variational Quantum Algorithms
Yosuke Ueno, Satoshi Imamura, Yuna Tomida, Teruo Tanimoto, Masamitsu, Tanaka, Yutaka Tabuchi, Koji Inoue, Hiroshi Nakamura

TL;DR
This paper introduces C3-VQA, a cryogenic co-processor using ultra-low-power superconducting logic to precompute parts of VQA calculations, significantly reducing heat dissipation and wire count in cryogenic quantum computers.
Contribution
It presents the first domain-specific cryogenic co-processor for VQAs that reduces thermal load by precomputing expectation values within the cryostat.
Findings
Reduces heat dissipation by 30% to 81% depending on execution mode.
Decreases total heat dissipation by 87% in a 10,000-qubit quantum chemistry case.
Cuts the number of wires needed, improving scalability of cryogenic quantum systems.
Abstract
Cryogenic quantum computers play a leading role in demonstrating quantum advantage. Given the severe constraints on the cooling capacity in cryogenic environments, thermal design is crucial for the scalability of these computers. The sources of heat dissipation include passive inflow via inter-temperature wires and the power consumption of components located in the cryostat, such as wire amplifiers and quantum-classical interfaces. Thus, a critical challenge is to reduce the number of wires by reducing the required inter-temperature bandwidth while maintaining minimal additional power consumption in the cryostat. One solution to address this challenge is near-data processing using ultra-low-power computational logic within the cryostat. Based on the workload analysis and domain-specific system design focused on Variational Quantum Algorithms (VQAs), we propose the Cryogenic…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing · Neural Networks and Applications
