English

Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing

Quantum Physics 2023-02-02 v1 Distributed, Parallel, and Cluster Computing

Abstract

We present Tierkreis, a higher-order dataflow graph program representation and runtime designed for compositional, quantum-classical hybrid algorithms. The design of the system is motivated by the remote nature of quantum computers, the need for hybrid algorithms to involve cloud and distributed computing, and the long-running nature of these algorithms. The graph-based representation reflects how designers reason about and visualise algorithms, and allows automatic parallelism and asynchronicity. A strong, static type system and higher-order semantics allow for high expressivity and compositionality in the program. The flexible runtime protocol enables third-party developers to add functionality using any language or environment. With Tierkreis, quantum software developers can easily build, visualise, verify, test, and debug complex hybrid workflows, and immediately deploy them to the cloud or a custom distributed environment.

Keywords

Cite

@article{arxiv.2211.02350,
  title  = {Tierkreis: A Dataflow Framework for Hybrid Quantum-Classical Computing},
  author = {Seyon Sivarajah and Lukas Heidemann and Alan Lawrence and Ross Duncan},
  journal= {arXiv preprint arXiv:2211.02350},
  year   = {2023}
}

Comments

Submitted to SC22 Workshop: Quantum Computing Software

R2 v1 2026-06-28T05:10:40.269Z