Quantum Time Series Analysis: Drift, Noise Spectroscopy and
Calibration Forecasting
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘qtsa’ version 0.1.1
Help Pages
| compute_Wt | Compute an illustrative coherence value from a PSD |
| cp_qdrift | Binary-segmentation drift diagnostic |
| cusum_q | CUSUM drift diagnostic |
| decoherence_curve | Compute an illustrative decoherence curve |
| estimate_rtn_hmm | Estimate a two-state switching model |
| fetch_ibm_calib | Generate simulated IBM-like calibration data |
| fidelity_ts | Compute a simple fidelity proxy |
| filter_function_q | Construct a simple dynamical-decoupling filter function |
| forecast_calib | Rolling residual interval forecast |
| forecast_T1 | Alias for forecast_calib |
| hmm_rtn_fit | Alias for estimate_rtn_hmm |
| plot_drift | Plot calibration drift diagnostics |
| psd_mtm_q | Alias for psd_multitaper_q |
| psd_multitaper_q | Sine-multitaper power spectral density estimator |
| psd_welch | Welch power spectral density estimator |
| r_oneoverf | Power-law noise simulator |
| r_ou_dephasing | Ornstein-Uhlenbeck dephasing simulator |
| r_rtn | Random Telegraph Noise simulator |
| viterbi_rtn | Viterbi decoder for a switching model |