Welcome to the Echoed Conditional Displacement (ECD) control package! Built with Tensorflow in python.
ECD control is a fast, echoed, gate-based approach to the quantum control of an oscillator with weak dispersive coupling to a qubit.
Based on the paper Fast universal control of an oscillator with a weak dispersive coupling to a qubit (2021) arXiv:2111.06414.
This repository can be used to optimize circuit parameters and generate ECD pulse sequences to be used in an experiment.
For any issues, comments, or questions, please open a github issue or contact: alec.eickbusch@yale.edu.
qutip (4.0.0 or later), Tensorflow (2.3.0 or later), h5py (working with 3.1.0)
To install, clone this repository and run:
$ pip install -e ECD_controlGiven a quantum control problem, optimization is performed in two steps:
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ECD_optimization Optimization of ECD circuit parameters (betas, phis, thetas) for a quantum control problem. This step does not depend on device-specic parameters. Built with tensorflow
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ECD_pulse_construction Given device-specific parameters, this step complies oscillator and qubit pulses from the ECD circuit parameters found in step 1.
Please see examples folder for more information. Current documentation is contained in these examples.
Our ongoing project is to generalize the GPU tensor-based optimization methods used for ECD to other parameterized gate-sets, including SNAP+Displacements. Please see our new repository Quantum Optimal Gate Synthesis (QOGS) for more information. If you would like to contribute, please contact alec.eickbusch@yale.edu.