Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
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May 23, 2024 - Jupyter Notebook
Quantum computing is a field of computing that uses quantum phenomena such as superposition and entanglement to perform operations on data. It is a rapidly growing field with potential applications in fields such as cryptography, chemistry, and optimization. Quantum computers can solve certain problems much faster than classical computers. Various programming languages such as Q#, Python and C++ can be used to write quantum algorithms to be run on quantum computers. The development of quantum computers is an active area of research and engineering.
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
A hands-on approach to quantum computing: Jupyter notebooks discussing quantum computing in Python using Qiskit.
This repository contains the notebooks, slides, and miscellaneous for Quantum Computing 2021
⚛️ 💥 ⚙️ A project based in Quantum Computing. This project was built using IBM Q Experience/QisKit (Jupyter Notebook/Python Environment Framework from IBM), PyQuil (Python Environment Framework from Rigetti Computing/Rigetti Forest SDK), ProjectQ (Python Environment Open-Source Framework from ETH Zurich), Q# (Q Sharp Programming Language from Mi…
Notebooks sobre aprendizaje de computación cuántica
SO2 Emission Prediction from Diesel Engines with Quantum Technology (5G). A worldwide study has been conducted on the emission values of SO2 gases released from diesel engines in the world.
Example notebooks performing emulation of cat qubits quantum processors
Tutorial notebooks and example scripts made with Tangelo. Any Tangelo user can suggest content and showcase their work, either by pushing on this repo or linking their work / project :)
Practice notebook using Qiskit module in python and IBM quantum experience
A collection of Jupyter Notebooks with explanations, insights, tutorials, exercises and showing how to use the Qiskrypt software suite, built using the IBM’s open-source Software Development Kit for quantum computing Qiskit. 📚 👨🏫
My Jupyter notebook for IBM Qiskit, running all the examples and several solved exercises from chapter 1-3.
My learning journal of Quantum Computing Basics with notes, reference videos and jupyter notebooks
The repository contains Jupyter notebooks with detailed description of basic quantum protocols and algorithms, the math, circuits and quantum programs using Python.
Tutorial notebooks for QCE at IEEE 2023 in Bellevue, Washington
Demonstrative Jupyter Notebook for evaluating matrix elements of observables (generic base) using Quantum Hardware (IBM Qiskit).
Demonstrative Jupyter Notebook for evaluating inner products (braket) between two quantum states using Quantum Hardware (IBM Qiskit).
a python code that uses the randomness of neural network training to find the ground state of a harmonic oscillator and its energy
This repository contains some Mathematica notebooks for the calculation of the resurgent transeries of the quantum mechanical quartic double-well potential.
This is a repository of notebooks with slightly modified code examples from Qiskit's Quantum Computing Textbooks found on https://qiskit.org/learn.
Created by Richard Feynman and Yuri Manin