@article{fedorov_automated_2019,
	title = {Automated analysis of single-tone spectroscopic data for {cQED} systems},
	url = {http://arxiv.org/abs/1907.05198},
	abstract = {Physical systems for quantum computation require calibration of the control parameters based on their physical characteristics by performing a chain of experiments that gather most precise information about the given device. It follows that there is a need for automated data acquisition and interpretation. In this work, we have developed a tool that allows for automatic analysis of single-tone spectroscopy (STS) results for a single cell consisting of qubit and resonator in the circuit quantum electrodynamics (cQED) architecture. Using analytic approaches and maximum likelihood estimation, our algorithm is capable of finding all relevant physical characteristics of the cell by using only the measured STS data. The described approach is fast and robust to noise, and its open-source Python implementation can readily be used to calibrate transmon qubits coupled to notch-port resonators.},
	urldate = {2019-07-16},
	journal = {arXiv:1907.05198 [cond-mat, physics:quant-ph]},
	author = {Fedorov, G. P. and Ustinov, A. V.},
	month = jul,
	year = {2019},
	note = {arXiv: 1907.05198},
	keywords = {Condensed Matter - Superconductivity, mentions sympy, quantum physics},
}

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