Package: qtsa 0.1.1
qtsa: Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting
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>.
Authors:
qtsa_0.1.1.tar.gz
qtsa_0.1.1.zip(r-4.7-any)qtsa_0.1.1.zip(r-4.6-any)qtsa_0.1.1.zip(r-4.5-any)
qtsa_0.1.1.tgz(r-4.6-any)qtsa_0.1.1.tgz(r-4.5-any)
qtsa_0.1.1.tar.gz(r-4.7-any)qtsa_0.1.1.tar.gz(r-4.6-any)
qtsa_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
qtsa/json (API)
| # Install 'qtsa' in R: |
| install.packages('qtsa', repos = c('https://leilamarvian.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6751828438. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 106 | ||
| source / vignettes | OK | 168 | ||
| linux-release | OK | 84 | ||
| macos-release | OK | 76 | ||
| macos-oldrel | OK | 77 | ||
| windows-devel | OK | 53 | ||
| windows-release | OK | 57 | ||
| windows-oldrel | OK | 48 | ||
| wasm-release | OK | 69 |
Exports:compute_Wtcp_qdriftcusum_qdecoherence_curveestimate_rtn_hmmfetch_ibm_calibfidelity_tsfilter_function_qforecast_calibforecast_T1hmm_rtn_fitplot_driftpsd_mtm_qpsd_multitaper_qpsd_welchr_oneoverfr_ou_dephasingr_rtnviterbi_rtn
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute an illustrative coherence value from a PSD | compute_Wt |
| Binary-segmentation drift diagnostic | cp_qdrift |
| CUSUM drift diagnostic | cusum_q |
| Compute an illustrative decoherence curve | decoherence_curve |
| Estimate a two-state switching model | estimate_rtn_hmm |
| Generate simulated IBM-like calibration data | fetch_ibm_calib |
| Compute a simple fidelity proxy | fidelity_ts |
| Construct a simple dynamical-decoupling filter function | filter_function_q |
| Rolling residual interval forecast | forecast_calib |
| Alias for forecast_calib | forecast_T1 |
| Alias for estimate_rtn_hmm | hmm_rtn_fit |
| Plot calibration drift diagnostics | plot_drift |
| Alias for psd_multitaper_q | psd_mtm_q |
| Sine-multitaper power spectral density estimator | psd_multitaper_q |
| Welch power spectral density estimator | psd_welch |
| Power-law noise simulator | r_oneoverf |
| Ornstein-Uhlenbeck dephasing simulator | r_ou_dephasing |
| Random Telegraph Noise simulator | r_rtn |
| Viterbi decoder for a switching model | viterbi_rtn |
