The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, graphics, utils |
| Published: | 2026-08-06 |
| DOI: | 10.32614/CRAN.package.qtsa |
| Author: | Leila Marvian Mashhad [aut, cre] |
| Maintainer: | Leila Marvian Mashhad <leila.marveian at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | qtsa results |
| Reference manual: | qtsa.html , qtsa.pdf |
| Package source: | qtsa_0.1.1.tar.gz |
| Windows binaries: | r-devel: qtsa_0.1.1.zip, r-release: qtsa_0.1.1.zip, r-oldrel: qtsa_0.1.1.zip |
| macOS binaries: | r-release (arm64): qtsa_0.1.1.tgz, r-oldrel (arm64): qtsa_0.1.1.tgz, r-release (x86_64): qtsa_0.1.1.tgz, r-oldrel (x86_64): qtsa_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=qtsa to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.