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qtsa  

Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting
View on CRAN: Click here


Download and install qtsa package within the R console
Install from CRAN:
install.packages("qtsa")

Install from Github:
library("remotes")
install_github("cran/qtsa")

Install by package version:
library("remotes")
install_version("qtsa", "0.1.1")



Attach the package and use:
library("qtsa")
Maintained by
Leila Marvian Mashhad
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-06
Latest Update: 2026-08-06
Description:
Tools for exploratory statistical analysis of quantum-hardware calibration time series. The package provides simulators for random telegraph noise (RTN), power-law noise, and Ornstein-Uhlenbeck dephasing; Welch and sine-multitaper power spectral density estimators; a lightweight two-state hidden Markov model for switching signals; cumulative sum (CUSUM) and binary-segmentation diagnostics for calibration drift; residual-quantile interval forecasts; and filter-function calculations for illustrative coherence curves. The package includes a reproducible generator of simulated superconducting-qubit calibration records; it does not retrieve authenticated live provider data. Methodological background is provided by Welch (1967) <doi:10.1109/TAU.1967.1161901>, Thomson (1982) <doi:10.1109/PROC.1982.12433>, Rabiner (1989) <doi:10.1109/5.18626>, Page (1954) <doi:10.1093/biomet/41.1-2.100>, Paladino et al. (2014) <doi:10.1103/RevModPhys.86.361>, and Cywinski et al. (2008) <doi:10.1103/PhysRevB.77.174509>.
How to cite:
Leila Marvian Mashhad (2026). qtsa: Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting. R package version 0.1.1, https://cran.r-project.org/web/packages/qtsa. Accessed 24 Oct. 2026.
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