quantum simulator of control operations on qubits
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Updated
Jan 17, 2021 - MATLAB
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.
quantum simulator of control operations on qubits
GNU Octave simulations for Simon's quantum computing algorithm.
2D time independent Schroedinger equation solver on inhomogeneous grid
A Matlab code for computing Clebsch-Gordan Coefficients
Contains the programs used to generate the results in the paper: Witnessing Negative Conditional Entropy
De-QuIP-Despeckling (Despeckling by Quantum Interactive Patches)
Lloyd-Max Algorithm Gradual - Vector Quantum
1D Time independent Schroedinger equation solver
1D Schroedinger solver in semiconductor with non-parabolicity in Zinc-Blende
Error mitigation matrices for each chip and every number of qubits, updated daily, so that you don't need to calculate them yourself.
This is a repository of the code accompanying "Quantum Carleman Lattice Boltzmann Simulation of Fluids". It implements the linear embedding introduced by Kowalski to describe nonlinear dynamics in terms of bosonic Hamiltonians.
This code is for Matlab's users who need speed when computing large exponential matrices full and sparse.
Poisson solver for semiconductor hetero-structures
Recovered files for interface state/photonic zero mode project in 2016
A basic quantum computing package written in MATLAB. Uses the density matrix backend for gate/channel operations.
Denoising by Quantum Interactive Patches
1D Schroedinger solver in semiconductor with effective mass
Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.
Single image super resolution algorithm RED+ADMM+De-QuIP
Created by Richard Feynman and Yuri Manin