User guides

• Get started
• Set up quantum systems
• Calculate filter functions
• Simulate quantum dynamics
• Optimize controls
• Automate closed-loop hardware optimization of quantum devices
• Calculate quasi-static error susceptibility
• Perform noise spectroscopy
• Design Mølmer–Sørensen gates
• Monitor activity

Application notes

• Superconducting qubits: improving the performance of single qubit gates
• Superconducting qubits: improving the performance of the cross resonance gate
• Superconducting qubits: improving measurement performance
• Quantum oscillators: optimal SNAP gates
• Cold ions: improving the performance of single-qubit gates
• Cold ions: obtaining robust, configurable multi-qubit gates
• Rydberg atoms: generating highly-entangled states in large atomic arrays
• Cold-atom sensors: boosting signal to noise by 10x in high noise environments
• Nitrogen vacancy centers: narrow-band spectroscopy
• Control hardware: pulse calibration
• Control hardware: pulse optimization under realistic experimental constraints
• Control hardware: system identification
• QuTiP: Independent verification of Q-CTRL optimization solutions
• Webinar: Introduction to robust control

References

Python

• Q-CTRL Python package API reference
• Q-CTRL Visualizer Python package API reference