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.
Define, parametrize, and sequence complex pulses for qubit control experiments. Translate high-level pulse representations to hardware-specific instructions and waveforms.
A common Python framework for physics experiment data acquisition.
Control electronicsExperiment Automation
Python-based data acquisition framework for physics experiments. Reduces setup time, encourages code sharing, and leverages modern software practices for efficient research.
Control quantum experiments with precise timing and low latency using a flexible, programmable system. Features Python-based programming, FPGA execution, and open hardware.
