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This paper proposes a scalable architecture for utility-scale quantum computers by treating them as cost-performance problems within coupled quantum-classical systems. The blueprint emphasizes hiding physical qubit complexities behind an instruction set architecture and leveraging specialized hardware for control and error correction, drawing direct parallels to classical heterogeneous accelerators and high-performance networking stacks. By applying established principles from classical computing to quantum system design, the authors aim to minimize costs while maximizing performance for large-scale computations.
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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Quantum computers will not be that different: A blueprint for quantum computer architecture at scale

arXiv2 min read

arXiv:2609.19639v1 Announce Type: new Abstract: Quantum computers are technologically novel and unusual, but at system scale they should be engineered using many of the same principles that govern classical heterogeneous accelerators. This paper argues that utility-scale quantum architecture is primarily a cost-performance problem across a coupled quantum-classical system, leading to a blueprint for scalable quantum processing unit (QPU) design. Our architecture blueprint is organized around clean logical abstractions, hiding details and complexity of physical qubit modalities below the instruction set architecture (ISA) boundary, and specializes recurring functions aggressively to minimize the cost for utility scale quantum computations. Its low-level implementation through specialized local hardware for control, readout, and quantum error correction (QEC) closely resembles the architecture of high-performance network stacks. One of our main insights is that the design principles and the resulting architecture closely follow established practice from classical computing and networking.

Abstract:Quantum computers are technologically novel and unusual, but at system scale they should be engineered using many of the same principles that govern classical heterogeneous accelerators. This paper argues that utility-scale quantum architecture is primarily a cost-performance problem across a coupled quantum-classical system, leading to a blueprint for scalable quantum processing unit (QPU) design. Our architecture blueprint is organized around clean logical abstractions, hiding details and complexity of physical qubit modalities below the instruction set architecture (ISA) boundary, and specializes recurring functions aggressively to minimize the cost for utility scale quantum computations. Its low-level implementation through specialized local hardware for control, readout, and quantum error correction (QEC) closely resembles the architecture of high-performance network stacks. One of our main insights is that the design principles and the resulting architecture closely follow established practice from classical computing and networking.

arXiv:2609.19639 [quant-ph]

(or arXiv:2609.19639v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.19639 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 229 words

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