Provides client-side access for direct pulse-level control of quantum computers. Enables fine-grained hardware interaction for advanced experiments and calibration.
Simulate and visualize surface code error correction.
Quantum Error CorrectionVisualization
Simulate and visualize quantum error correction on surface codes. Inspect decoding processes, benchmark decoder performance, and explore modular implementations of codes, errors, and decoders.
Design quantum pulses and schedules interactively.
Experiment AutomationPulse-level control+1 more
Interactively design quantum pulses and schedules using a Python widget library. Integrate directly into Jupyter notebooks, JupyterLab, and IPython kernels for hardware control.
MQT DDVis - An installation-free web-tool which visualizes quantum decision diagrams and allows to explore their behavior when used in design tasks such as simulation, synthesis, or verification.