quantum-entanglement

There are 19 repositories under quantum-entanglement topic.

  • QuantumSavory/QuantumClifford.jl

    Clifford circuits, graph states, and other quantum Stabilizer formalism tools.

    Language:Julia108813043
  • quantumComputing

    camitava0321/quantumComputing

    Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum Computing for Both Theories and Codes - I update it regularly.

    Language:Jupyter Notebook21309
  • stephenhky/pyqentangle

    Quantum Entanglement in Python

    Language:Python20655
  • rubenandrebarreiro/ibm-qiskit-global-summer-school-2023

    ⚛️ 👨‍🏫 📚 A two-week intensive Summer School on Quantum Computing from IBM Quantum, using mostly the features of the IBM's Qiskit library. In this Summer School, were lectured topics on basics of Quantum Information, Quantum Entanglement, Quantum Algorithms, Quantum Error Mitigation, among many others.

    Language:Jupyter Notebook19507
  • codeswift27/quantum-entanglement

    What if things aren't always what they seem? An introduction to quantum entanglement (2022 Swift Student Challenge submission)

    Language:Swift10200
  • MuonRay/Quantum-Encryption-of-Images-using-Bitwise-XOR-and-QRNG

    Article here: http://muonray.blogspot.com/2022/02/quantum-encryption-of-images-in-python.html The definition of image encryption used here is an extension of data encryption in general: using the bitwise XOR operation of the original image pixels and the random key image pixels, with the key image being either a pseudo-random stream cipher or the quantum random stream cipher or anti-correlated entangled information shared over a secure channel. In either case we Perform bitwise XOR operation on the encrypted image and the key image. It can be seen from the image encryption and decryption that they are all the same operation. According to the above bitwise XOR operation, we assume: xor(a,b)=c You can get: xor(c,b)=a Or: xor(c,a)=b In summary, we assume that a is the original image data and b is the key, then c calculated by xor(a,c) is the encrypted ciphertext. This is a simple summary of the encryption and decryption process as used in the coding in this repository. Encryption process: Perform a bitwise XOR operation on the image a and the key b to complete the encryption and obtain the ciphertext c. Decryption process: Perform a bitwise XOR operation on the ciphertext c and the key b, complete the decryption, and get the image a. We can use our quantum random numbers generator in 2 ways to create our image encryption key: (1) as a random number generator seed source (2) using the random superposition of the H and V modes We can also use the shared set of correlated images, captured using the single CCD, from our entangled photon source with Alice getting one half and Bob getting the anti-correlated half. This provides the perfect key, with the quantum images shared over a separate channel hidden from the encrypted classical images. The file exchange channel is 2 way: Alice can use Her key to encrypt the image, Bob can use His key to decrypt the image OR Bob can use His key to encrypt the image, Alice can use Her key to decrypt the image. The XOR Cipher in this use can also be extended as a component in more complex overlay network ciphers if need be however for computational efficiency it is not necessary. It is just as effectual to have 1 quantum cipher as many, so in effect the system is completely hidden, by virtue of hidden variables, and is encrypted in an information condensate.

    Language:Python7101
  • rubenandrebarreiro/ibm-qiskit-quantum-explorers-2023-2024

    ⚛️ 🚀 👽 A self-paced, game-based Quantum Computing learning program for students, researchers and enthusiasts. This program offers a general understanding of Quantum Computing, as well as some of its applications, such as Quantum Machine Learning and Quantum Optimization, and how to program real quantum computers.

    Language:Jupyter Notebook5203
  • TsvetelinKostadinv/Simulation-Q

    A simulation of the inner working of a quantum computer

    Language:Java4210
  • greatsharma/Basics-of-Quantum-in-Python

    Basic quantum programming using qiskit in python

    Language:Python210
  • pffffpfffff/bellpy

    Object oriented library for research in quantum nonlocality

    Language:Python220
  • aidanbdh/quantum-entanglement

    An atom plugin for users that want to edit the same file in real time.

    Language:JavaScript11300
  • Argmaster/CSSFinder

    Tool for Hilbert-Schmidt distance calculation with Gilbert algorithm.

    Language:Python10151
  • jan-provaznik/witnessmess

    Witnessing multi-partite entanglement in Python.

    Language:Python1110
  • Adinath3006/Discrete_Gauge_Group

    This repository contains the codebase for my research project, which involves computationally analyzing Z2 and SN lattice gauge theories. Utilizing the Kitaev Quantum Double Model (D(G)), the investigation focuses on determining the ground state properties of the system and conducting an analysis of the entanglement entropy.

    Language:Python00
  • Argmaster/cssfinder_backend_numpy

    Implementation of CSSFinder backend using NumPy for calculations.

    Language:Python0210
  • QuantumComputingWorld/QDCE

    Can we send information to the past or future, and due to entanglement past and present are same instance, Quantum delayed choice experiment - already proven impossible - however, personal rework and conceptual understanding

  • Argmaster/bachelors_thesis

    Finished with grade 5 (2-5 range), unfortunately only Polish version is available.

    Language:Jupyter Notebook20
  • deadshot8086/quantum-mev-protocol-netsquid

    Simulating Multipartite Entanglement Verification Protocol using NetSquid

    Language:Jupyter Notebook10
  • fomalhautn/Quantum-Entanglement_Friedrich-Schiller-University-Jena

    Implementation of a quantum circuit, creating a pair of entangled qubits in the |𝜙+⟩ state.

    Language:Jupyter Notebook10