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NMQA

Research Codebase Noise Mapping for Quantum Architectures (NMQA). Formerly known as: Quantum Simultaneous Localisation and Mapping (QSLAM).

References:

[1] Gupta, R. S., Milne, A. R., Edmunds, C. L., Hempel, C., & Biercuk, M. J. (2019). Adaptive scheduling of noise characterization in quantum computers. arXiv preprint arXiv:1904.07225. Accessed https://arxiv.org/abs/1904.07225

[2] Gupta, R. S., & Biercuk, M. J. (2019). Convergence analysis for autonomous adaptive learning applied to quantum architectures. arXiv preprint arXiv:1911.05752. Accessed https://arxiv.org/abs/1911.05752

[3] Gupta, R. S., Govia, L. C. G., & Biercuk, M. J. Interpolation and architectural impacts of spectator qubits for efficient quantum computer calibration and tuneup (forthcoming 2020).

Contains the following Python packges:

qslam : Python package to implement NMQA-QSLAM algorithm. 
    Supports References [1], [2], [3].

paduaq : Python package for Lagrange 2D interpolation at Padua points. 
    Supports Reference [3].

clfanalysis : Python package for image classification for pre-processing
    single qubit measurements from trapped ion camera data.
    Supports Reference [1].

Contains the following directories for associated research analysis:

nmqa1 : Compares NMQA-QSLAM to Naive Approach using simulated data. 
    Codebase stored as a series of Python (.py) + Artemis (.pbs) scripts.
    Supports Reference [1].

nmqa2 : Implements convergence analysis for NMQA-QSLAM.
    Codebase stored as a series of Python (.py) + Artemis (.pbs) scripts.
    Supports Reference [2].

nmqa3: Compares NMQA-QSLAM to Naive Approach with Padua interpolation. 
    Codebase stored as a series of Python (.py) + Artemis (.pbs) scripts.
    Supports Reference [3].
    
expt_qslam : Compares NMQA-QSLAM to Naive Approach using experimental data.
    Codebase stored as a series of Python (.py) + Artemis (.pbs) scripts.
    Supports Reference [1].

expt_data : Converts trapped ion images into measurement database. 
    Codebase stored as a series of Jupyter Notebooks (.ipynb) 
    Supports Reference [1].

statedetectn : Analyses qubit state detection via image classification
    on trapped ion camera data.
    Codebase stored as a series of Jupyter Notebooks (.ipynb).
    Supports Reference [1].