This repository contains a new backend which can simulate noisy quantum logic circuits using the density matrix formalism.

A basic quantum computing package written in MATLAB. Uses the density matrix backend for gate/channel operations.

Python utilities for running density matrix functional theory (DMFT) quantum chemical calculations.

Highly efficient toolbox for large scale qubit dynamic simulation

Fast-trace algorithm to compute reduced density matrices within (cluster) dynamical mean-field theory. Exported to @QcmPlab / CDMFT-LANC-ED.

An interactive, browser-based tool for generating and solving optical Bloch equations for multilevel quantum systems. Users can configure atomic or molecular systems, visualize the optical Bloch equations in rotating-wave approximation, and download C source code to solve them using the Runge-Kutta method.

A Julia implementation of the Fermi–Dirac operator (matrix) expansion using different methods

DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.

This project implements a machine learning model capable of reconstructing a quantum density matrix ρ from measurement data (Classical Shadows). The model enforces strict physical constraints (Hermitian, Positive Semi-Definite, Unit Trace) using a Cholesky decomposition approach.

Differentiable density matrix simulator for IBM Gross Code degree-6 plaquette calibration. JAX-based with GPU acceleration, 94.6% coherent error reduction, full V&V test suite. Targets IBM "Loon" qLDPC processors.

A high-performance Quantum QCAD engine that uses Numba-JIT acceleration to map the "Sweet Spot" where algorithmic complexity meets physical noise. Unlike bloated enterprise kits, it provides a transparent, low-level look at how T_1 and T_2 decay shift the optimal depth of NISQ algorithms.

Projeto de iniciação científica que utiliza os conceitos de mecânica quântica moderna e controle não linear para resolver problemas de sistemas quânticos abertos