https://github.com/darkstarstrix/bosonic

A new paradigm of quantum computing Bosonic

https://github.com/darkstarstrix/bosonic

Science Score: 13.0%

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Keywords

bose-einstein-condensate computer-science physics-simulation quantum-physics quatum-computing

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Repository

A new paradigm of quantum computing Bosonic

Basic Info
  • Host: GitHub
  • Owner: DarkStarStrix
  • License: apache-2.0
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 3.77 MB
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  • Watchers: 1
  • Forks: 1
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bose-einstein-condensate computer-science physics-simulation quantum-physics quatum-computing
Created about 2 years ago · Last pushed almost 2 years ago
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README.md

Hydrogen Gas Bose-Einstein Condensate (BEC) for Quantum Computing

Abstract

The project explores the potential of hydrogen gas Bose-Einstein condensates (BECs) as a foundational element in the development of quantum computing systems. The study aims to analyze the physical properties of hydrogen BECs, focusing on coherence times, manipulation of quantum states, and scalability.

Introduction

Bose-Einstein Condensates represent a state of matter where particles, known as bosons, coalesce into a single quantum state at ultra-low temperatures. This project examines hydrogen gas BECs due to hydrogen's simple atomic structure, which might offer extended coherence times and thus, be advantageous for quantum computing.

Methodology

  • Creation of Hydrogen BECs: Detailed procedures for cooling hydrogen gas to a fraction of a Kelvin above absolute zero to form BECs.
  • Measurement of Coherence: Techniques employed to measure the coherence time of the BEC quantum states.
  • State Manipulation: Methods developed to manipulate the quantum states within the BEC using external fields and interactions.

Results

The study aims to provide empirical data on: - The duration of the coherence times of hydrogen BECs. - The precision of state manipulation within the BEC. - The observed effects of environmental factors on BEC stability.

Discussion

This section will discuss the implications of the results in the context of quantum computing. The compatibility of hydrogen gas BECs with existing quantum computing architectures and their potential to overcome current limitations will be analyzed.

Conclusion

The concluding remarks will synthesize the findings and provide insight into the future of hydrogen gas BECs in quantum computing, outlining the next steps for research and development.

How to Use This Repository

This repository contains the following files and folders: /Plots: Contains the plots generated from the data. /Scripts: Contains the scripts used to generate the plots.

Installation

Required packages: - QuTiP - Matplotlib - Numpy - Scipy - Plotly

Usage

Instructions for running the scripts to generate the plots. Run the scripts in the following order:

  • QuTiP_Simulation.py

  • QuTiPSimulation2.py

  • QuTiPSimulation3.py

  • QuTiPSimulation4.py

  • QuTiPSimulation5.py

  • QuTiPSimulation6.py

  • QuTiPSimulation7.py

  • QuTiPSimulation8.py

  • QuTiPSimulation9.py

Citation

If you use this work in your research, please cite the following paper: A. M. Wandia, "Hydrogen Gas Bose-Einstein Condensates as Quantum Computing Substrates," Self-published, 2023.

Contact

Allan Murimi Wandia - allanw.mk@gmail.com

image

Owner

  • Name: Allan Murimi Wandia
  • Login: DarkStarStrix
  • Kind: user
  • Location: U.S.A
  • Company: Freelance

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