GithubHelp home page GithubHelp logo

blockade_mag's Introduction

Quantum Interference Induced Magnon Blockade and Antibunching in a Hybrid Quantum System

Manuscript Version Toolbox Version Toolbox Version Last Updated

J. Opt. Soc. Am. B 41, 447 (2024)

Author Affiliation
Pooja Kumari Gupta Indian Institute of Technology Guwahati, Guwahati-781039, India
Sampreet Kalita Indian Institute of Technology Guwahati, Guwahati-781039, India
Amarendra Kumar Sarma Indian Institute of Technology Guwahati, Guwahati-781039, India
Contributing Part PKG SK
Literature review 90% 10%
Idea and formulation 100% 0%
Derivations of expressions 60% 40%
Parameter sweeping 90% 10%
Illustrations and plots 50% 50%
Results and discussion 60% 40%
Manuscript preparation 70% 30%

About the Work

In this work, we study the phenomena of quantum interference assisted magnon blockade and magnon antibunching in a weakly interacting hybrid ferromagnet-superconductor system. The magnon excitations in two yttrium iron garnet spheres are indirectly coupled to a superconducting qubit through microwave cavity modes of two mutually perpendicular cavities. We find that when one of the magnon mode is driven by a weak microwave field, the destructive interference between more than two distinct transition pathways restricts simultaneous excitation of two magnons. We analyze the magnon correlations in the driven magnon mode for the case of zero detunings as well as finite detunings of the magnon modes and the qubit. We show that the magnon antibunching can be tuned by changing the magnon-qubit coupling strength ratio and the driving detuning. Our work proposes a possible scheme which have significant role in the construction of single magnon generating devices.

Notebooks

Structure of the Repository

ROOT_DIR/
|
├───common/
│   ├───foo.py
│   └───...
|
├───data/
│   ├───bar/
│   │   ├───baz_xyz.npz
│   │   └───...
│   └───...
|
├───notebooks/
│   ├───bar/
│   │   ├───baz.ipynb
│   │   └───...
│   │
│   ├───foo.ipynb
│   └───...
|
│───scripts/
│   ├───bar/
│   │   ├───baz.py
│   │   └───...
│   └───...
│
├───.gitignore
├───CHANGELOG.md
└───README.md

Here, bar represents the version.

Note: Some data files have been excluded from this repository to fit GitHub's storage limits without using Git LFS services. These data files can also be generated by running their corresponding scripts.

Installing Dependencies

All numerical values are calculated using QuTiP, a Python framework for the dynamics of open quantum systems. Refer to the QuTiP documentation for the steps to install this library.

All plots are obtained using the Quantum Optomechanics Toolbox, an open-source Python framework to simulate optomechanical systems. Refer to the QOM toolbox documentation for the steps to install this libary.

Running the Scripts

To run the scripts, navigate inside the top-level directory, and execute:

python scripts/bar/baz.py

Here, bar is the name of the folder (containing the version information) inside scripts and baz.py is the name of the script (refer to the repository structure).

blockade_mag's People

Contributors

sampreet avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.