Tierkreis: a Dataflow Framework for Hybrid Quantum-Classical Computing

Seyon Sivarajah, Lukas Heidemann, Alan Lawrence, Ross Duncan

Open source

DOI: 10.1109/qcs56647.2022.00007
Published: 2022-11
Container: 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS)
Publisher: IEEE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/qcs56647.2022.00007,
  title = {Tierkreis: a Dataflow Framework for Hybrid Quantum-Classical Computing},
  author = {Seyon Sivarajah and Lukas Heidemann and Alan Lawrence and Ross Duncan},
  year = {2022},
  journal = {2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS)},
  doi = {10.1109/qcs56647.2022.00007},
  url = {https://doi.org/10.1109/qcs56647.2022.00007}
}

RIS

TY  - JOUR
TI  - Tierkreis: a Dataflow Framework for Hybrid Quantum-Classical Computing
AU  - Seyon Sivarajah
AU  - Lukas Heidemann
AU  - Alan Lawrence
AU  - Ross Duncan
PY  - 2022
JO  - 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS)
DO  - 10.1109/qcs56647.2022.00007
UR  - https://doi.org/10.1109/qcs56647.2022.00007
ER  -

APA

Sivarajah, S., Heidemann, L., Lawrence, A., & Duncan, R. (2022). Tierkreis: a Dataflow Framework for Hybrid Quantum-Classical Computing. 2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS). https://doi.org/10.1109/qcs56647.2022.00007

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crossref · retrieved 2026-09-25T04:19:47.539Z