mts-qccd-compiler
Muzzle-the-Shuttle Compiler for linearly connected multi-trap QCCD Trapped Ion Quantum Computers
Science Score: 67.0%
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Repository
Muzzle-the-Shuttle Compiler for linearly connected multi-trap QCCD Trapped Ion Quantum Computers
Basic Info
- Host: GitHub
- Owner: ashsaki
- License: apache-2.0
- Language: OpenQASM
- Default Branch: main
- Size: 700 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
MTS-QCCD-Compiler
Muzzle-the-Shuttle (MTS) Compiler for linearly connected multi-trap QCCD Trapped Ion Quantum Computers.
The repository contains the compiler code for the paper "Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers" (Accepted in 2022 Design, Automation and Test in Europe (DATE) Conference and Exhibition) (Link: https://ieeexplore.ieee.org/abstract/document/9774619).
The MTS compiler is based on the excellent work of Murali et al. "Architecting noisy intermediate-scale trapped ion quantum computers" (ISCA'2020) - Paper Link: https://dl.acm.org/doi/10.1109/ISCA45697.2020.00051 - GitHub Link: https://github.com/prakashmurali/QCCDSim
The MTS compiler improves upon the previous QCCDSim compiler from Murali et al. by including three heuristic architectural policies: - Future operations-based shuttle direction policy - Opportunistic gate re-ordering, and - Nearest neighbor first trap re-balancing
The codebase was last tested with
python 3.10.12
networkx 2.5.0 (important)
numpy 1.25.0
decorator 5.1.1
joblib 1.3.1
scikit-learn 1.3.0
scipy 1.11.1
sklearn 0.0
threadpoolctl 3.2.0
qiskit 0.44.0
To run, go to the mts directory and run the following command inside the directory:
python run_batch.py
Please cite the work using the following:
@INPROCEEDINGS{saki2022mts,
author={Saki, Abdullah Ash and Topaloglu, Rasit Onur and Ghosh, Swaroop},
booktitle={2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)},
title={Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers},
year={2022},
volume={},
number={},
pages={322-327},
doi={10.23919/DATE54114.2022.9774619}
}
A. A. Saki, R. O. Topaloglu and S. Ghosh, "Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers," 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, 2022, pp. 322-327, doi: 10.23919/DATE54114.2022.9774619.
Owner
- Name: Abdullah Ash- Saki
- Login: ashsaki
- Kind: user
- Company: Pennsylvania State University
- Website: sites.psu.edu/saki
- Repositories: 1
- Profile: https://github.com/ashsaki
Citation (citation.bib)
@INPROCEEDINGS{saki2022mts,
author={Saki, Abdullah Ash and Topaloglu, Rasit Onur and Ghosh, Swaroop},
booktitle={2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)},
title={Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers},
year={2022},
volume={},
number={},
pages={322-327},
doi={10.23919/DATE54114.2022.9774619}
}
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- Watch event: 1
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Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Abdullah Ash Saki | a****i@l****m | 7 |
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