A single-particle window into the noise of quantum hardware
Two-level systems (TLS) are microscopic defects that behave like tiny quantum switches, and a leading source of decoherence in superconducting quantum processors. QTLS packages the raw ring-down measurements and matched numerical simulations that probe how those defects respond to — and can be steered by — shaped microwave drives.
Measured
Homodyne ring-downs
Raw in-phase (I) and quadrature (Q) samples acquired exactly as measured — nothing cropped or post-processed. Magnitude, phase and spectra are all recoverable from I/Q.
Simulated
Lindblad dynamics
Numerical evolution of coupled TLS ensembles under a Lindblad master equation, capturing the collective excitation ⟨σ⁺σ⁻⟩ as it rings down after pulsed driving.
Long format
One row per sample
Every dataset is tall and thin — one row per time sample, with the drive settings repeated on each row, and a machine-readable JSON data dictionary alongside.
02 — Experiments
Every knob, swept and recorded
The full release, in order. Each experiment isolates one control axis and records the complete ring-down at every setting — select any card to open its documentation.
03 — Access
Reproducible, top to bottom
Every dataset regenerates from a single deterministic script with a pinned physics module. The data files are rebuilt on demand; the code is the deliverable.
# build a simulated dataset (deterministic)python experiment_8_dataset_creation.py --workers 16
# load a released tableimport pickle, pandas as pd
withopen("experiment_8_dataset_long.pkl", "rb") as fh:
payload = pickle.load(fh)
df = pd.DataFrame(payload["data"], columns=payload["columns"])