Hardware-Software Co-design for Distributed Quantum Computing

Distributed quantum computing (DQC) offers a pathway for scaling up quantum computing architectures beyond the confines of a single chip. Entanglement is a crucial resource for implementing nonlocal operations in DQC, and it is required to allow teleportation of quantum states and gates. Remote enta...

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Veröffentlicht in:2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 6
Hauptverfasser: Liu, Ji, Zang, Allen, Suchara, Martin, Zhong, Tian, Hovland, Paul D
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 22.06.2025
Schlagworte:
Adaptive scheduling
Computational modeling
Computer architecture
Design automation
Logic gates
Probabilistic logic
Quantum computing
Quantum state
Runtime
Teleportation
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Abstract Distributed quantum computing (DQC) offers a pathway for scaling up quantum computing architectures beyond the confines of a single chip. Entanglement is a crucial resource for implementing nonlocal operations in DQC, and it is required to allow teleportation of quantum states and gates. Remote entanglement generation in practical systems is probabilistic, has longer duration than that of local operations, and is nondeterministic. Therefore, optimizing the performance of probabilistic remote entanglement generation is critically important for the performance of DQC architectures. In this paper we propose and study a new DQC architecture that combines (1) buffering of successfully generated entanglement, (2) asynchronously attempted entanglement generation, and (3) adaptive scheduling of remote gates based on the entanglement generation pattern. We show that our hardware-software co-design improves both the runtime and the output fidelity under a realistic model of DQC.
AbstractList Distributed quantum computing (DQC) offers a pathway for scaling up quantum computing architectures beyond the confines of a single chip. Entanglement is a crucial resource for implementing nonlocal operations in DQC, and it is required to allow teleportation of quantum states and gates. Remote entanglement generation in practical systems is probabilistic, has longer duration than that of local operations, and is nondeterministic. Therefore, optimizing the performance of probabilistic remote entanglement generation is critically important for the performance of DQC architectures. In this paper we propose and study a new DQC architecture that combines (1) buffering of successfully generated entanglement, (2) asynchronously attempted entanglement generation, and (3) adaptive scheduling of remote gates based on the entanglement generation pattern. We show that our hardware-software co-design improves both the runtime and the output fidelity under a realistic model of DQC.
Author Liu, Ji
Zang, Allen
Zhong, Tian
Suchara, Martin
Hovland, Paul D
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  givenname: Ji
  surname: Liu
  fullname: Liu, Ji
  email: ji.liu@anl.gov
  organization: Argonne National Laboratory
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  givenname: Allen
  surname: Zang
  fullname: Zang, Allen
  email: yzang@uchicago.edu
  organization: The University of Chicago
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  givenname: Martin
  surname: Suchara
  fullname: Suchara, Martin
  email: msuchara@microsoft.com
  organization: Microsoft Azure Quantum
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  givenname: Tian
  surname: Zhong
  fullname: Zhong, Tian
  email: tzh@uchicago.edu
  organization: The University of Chicago
– sequence: 5
  givenname: Paul D
  surname: Hovland
  fullname: Hovland, Paul D
  email: hovland@anl.gov
  organization: Argonne National Laboratory
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Snippet Distributed quantum computing (DQC) offers a pathway for scaling up quantum computing architectures beyond the confines of a single chip. Entanglement is a...
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SubjectTerms Adaptive scheduling
Computational modeling
Computer architecture
Design automation
Logic gates
Probabilistic logic
Quantum computing
Quantum state
Runtime
Teleportation
Title Hardware-Software Co-design for Distributed Quantum Computing
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