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Echoed Conditional Displacement (ECD) Control

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.


Requirements

qutip (4.0.0 or later), Tensorflow (2.3.0 or later), h5py (working with 3.1.0), tqdm, scikit-learn


Installation

To install, clone this repository and run:

$ pip install -e ECD_control

Usage

Given a quantum control problem, optimization is performed in two steps:

  1. 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

  2. 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.


For any issues, comments, or questions, please open a github issue or contact: [email protected]. Note: The codebase, examples, and documentation is under active developement.

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