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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Updated
Jul 11, 2024 - Jupyter Notebook
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
User manual and example notebooks for the pytket quantum SDK
Python script and Jupyter notebook implementations of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.
Tutorial notebooks for QCE at IEEE 2023 in Bellevue, Washington
My notebooks for QGSS 2023
Demonstrative Jupyter Notebook for evaluating inner products (braket) between two quantum states using Quantum Hardware (IBM Qiskit).
Demonstrative Jupyter Notebook for evaluating matrix elements of observables (generic base) using Quantum Hardware (IBM Qiskit).
A hands-on approach to quantum computing: Jupyter notebooks discussing quantum computing in Python using Qiskit.
A public repository for my quantum-computing documents and Jupyter notebooks. Along with that, most of the quantum-computing content in this repository will be based on the content in PY536 (BU) and Physics 229 (Caltech), along with QCQI notes. Please read the comments inside the files for more information.
The repository contains Jupyter notebooks with detailed description of basic quantum protocols and algorithms, the math, circuits and quantum programs using Python.
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.
MIT Quantum Mechanics Class Notes
This notebook can be used as a tutorial for combining Schöning's and Grover's methods to solve k-SAT problems.
Notebooks sobre aprendizaje de computación cuántica
This notebooks are intended to teach the basics of quantum computing.
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. 📚 👨🏫
Jupyter Notebooks for quantum algorithms. Language: Python (Qiskit). Platform: IBM Quantum's backends and simulators.
Practice notebook using Qiskit module in python and IBM quantum experience
Notebooks exploring various features of the Rigetti Forest & Grove using pyQuil
Google Collaboratory notebooks for the SDSS 2020 workshop on "Introduction to programming quantum computers"
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