R: Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting

# Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting

## Documentation for package ‘qtsa’ version 0.1.1

- DESCRIPTION file
- Package README

## 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