Data

Tools

Indexes

Applications

Experiments

Open Source Science

qdarts

Efficient Simulation of Charge Transitions in Quantum Dot Arrays with Sensor Dots, Tunnel Couplings, and Variable Charging Energy

https://github.com/condensedai/qdarts

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: aps.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Efficient Simulation of Charge Transitions in Quantum Dot Arrays with Sensor Dots, Tunnel Couplings, and Variable Charging Energy

Basic Info
  • Host: GitHub
  • Owner: condensedAI
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 10.4 MB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 4
  • Open Issues: 4
  • Releases: 1
Created almost 2 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog Citation

README.md

QDarts

Efficient Quantum Dot array transition simulator.

Description

We provide an efficient simulation package, QDarts, generating realistic charge conductance signals from medium, more than 10 quantum dot arrays. By levering the polytope finding algorithm from O. Krause, A. Chatterjee, F. Kuemmeth and E. van Nieuwenburg, Learning coulomb diamonds in large quantum dot arrays, SciPost Physics 13(4), 084 (2022), the QDarts allows for: - Transition finding in high-dimensional voltage space, - Selection of arbitrary cuts in the voltage space, - Simulating effects of finite tunnel couplings, - Including non-constant charging energies, - Simulation of multiple sensor dot, - Tunable noise parameters, - User-friendly interface.

Installation

The package supports Python 3.6 and later. To install the package, run the following command:

pip install qdarts

Manuscript

The package is based on the manuscript by Krzywda et al., QDarts: A Quantum Dot Array Transition Simulator for finding charge transitions in the presence of finite tunnel couplings, non-constant charging energies and sensor dots. The manuscript has been submitted to the SciPost Physics Codebases.

Examples

The package provides a simple example to demonstrate the usage of the package. The example is available in the examples qatpack/examples folder. The example demonstrates the simulation of a quantum dot array with sensor dots, tunnel couplings, and non-constant charging energy.

As a proof of principle, in the example we reconstruct the figure from the paper Neyens et al., which shows the measured charge conductance signal from two sensor dots, which detect simultanous four-dot transition in the quantum dot array. The figure, visible below, has been computed in about a minute on a standard laptop.

Files in this repository

qdarts
    |-- qdarts
        |-- model.py
        |-- noise_processes.py
        |-- experiment.py
        |-- plotting.py
        |-- polytope.py 
        |-- simulator.py
        |-- tunneling_simulator.py
        |-- util_functions.py
    |-- examples
        |-- examples_scipost.ipynb # notebook to reproduce figures from paper
    |-- README.md
    |-- LICENCE.md
    |-- CITATION.cff

Roadmap

The package is under active development. The future plans include: - [ ] Adding barrier gates, - [ ] Including realistic noise processes, including 1/f noise, - [ ] Adding more examples, - [ ] Adding a method for generating capacitance matrices from: - [ ] QD array layout, - [ ] Experimental data, - [ ] Finite element method simulations, - [ ] Scaling up to larger quantum dot arrays N>10,

Owner

  • Name: condensedAI
  • Login: condensedAI
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 0.0.1
message: "If you use this software, please cite it as below."
title: "QDarts"
authors:
  - family-names: Krzywda
    given-names: Jan
    orcid: https://orcid.org/0000-0001-6449-1396
  - family-names: Liu
    given-names: Weikun
  - family-names: van Nieuwenburg
    given-names:  Evert
    orcid: https://orcid.org/0000-0003-0323-0031
  - family-names: Krause
    given-names: Oswin
    orcid: https://orcid.org/0000-0002-0990-559X
version: 1.0.1
date-released: 2024-04-02
license: MIT License
repository-code: "https://github.com/condensedAI/QDarts"

GitHub Events

Total
  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 10
  • Push event: 8
  • Pull request review comment event: 4
  • Pull request review event: 5
  • Pull request event: 4
  • Fork event: 3
  • Create event: 2
Last Year
  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 10
  • Push event: 8
  • Pull request review comment event: 4
  • Pull request review event: 5
  • Pull request event: 4
  • Fork event: 3
  • Create event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 6
  • Total pull requests: 5
  • Average time to close issues: 3 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 0.33
  • Average comments per pull request: 4.4
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 5
  • Average time to close issues: 4 months
  • Average time to close pull requests: 3 months
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 0.5
  • Average comments per pull request: 4.4
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Ulfgard (4)
  • akhmerov (1)
  • KREFT-QS-13 (1)
Pull Request Authors
  • hrdl-github (3)
  • taladjidi (2)
Top Labels
Issue Labels
interface (3)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 22 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
pypi.org: qdarts

A package for simulating realistic quantum dot arrays and their charge transitions.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 22 Last month
Rankings
Dependent packages count: 9.6%
Average: 36.5%
Dependent repos count: 63.4%
Maintainers (1)
everthemore
Last synced: 6 months ago

Dependencies

pyproject.toml pypi