Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation

Journal Article · 08 January 2025 · Quantum

DOI: https://doi.org/10.22331/q-2025-01-08-1581 · OSTI ID:2497862

LaRacuente, Nicholas  ^[1]; Smith, Kaitlin N. ^[2]; Imany, Poolad ^[3]; Silverman, Kevin L. ^[4]; Chong, Frederic T. ^[5]

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1. Indiana University Bloomington, Bloomington, IN 47404, USA
2. Northwestern University, Evanston, IL 60208, USA
3. Icarus Quantum Inc., Boulder, CO 80302, USA
4. National Institute of Standards and Technology, Boulder, CO 80305, USA
5. University of Chicago, Chicago, IL 60642, USA

A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. Distributed quantum computing across small qubit arrays, known as chiplets, can address these challenges in a scalable manner. We propose a chiplet architecture over microwave links with potential to exceed monolithic performance on near-term hardware. Our methods of modeling and evaluating the chiplet architecture bridge the physical and network layers in these processors. We find evidence that distributing computation across chiplets may reduce the overall error rates associated with moving data across the device, despite higher error figures for transfers across links. Preliminary analyses suggest that latency is not substantially impacted, and that at least some applications and architectures may avoid bottlenecks around chiplet boundaries. In the long-term, short-range networks may underlie quantum computers just as local area networks underlie classical datacenters and supercomputers today.

• Sponsoring Organization: USDOE
• Grant/Contract Number: AC05-00OR22725; SC0020289; SC0020331; SC0021526
• OSTI ID: 2497862
• Journal Information: Quantum, Journal Name: Quantum Vol. 9; ISSN 2521-327X
• Publisher: Verein zur Forderung des Open Access Publizierens in den QuantenwissenschaftenCopyright Statement
• Country of Publication: Austria
• Language: English