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Quasi Quantum Computing

A revolutionary quantum circuit simulator powered by three independent neural network physics backends—Hamiltonian, Schrödinger, and Dirac—achieving exact constraint preservation without explicit enforcement.

Key Features

Neural Physics Backends

Three independently trained neural networks that preserve quantum constraints

Quantum Circuits

Full quantum gate library with entanglement support

Molecular Simulation

VQE and UCCSD calculations for molecular ground states

Constraint Preservation

Phase coherence, norm, and entropy preserved to machine precision

Quick Start

1

Install Dependencies

Clone the repository and install required packages
git clone https://github.com/grisuno/QC.git
cd QC
./install.sh
2

Run Your First Simulation

Execute a molecular simulation for H2
python3 molecular_sim.py --molecule H2
3

Explore Quantum Algorithms

Try standard quantum algorithms with all three backends
python3 quantum_computer.py \
  --hamiltonian-checkpoint hamiltonian.pth \
  --schrodinger-checkpoint checkpoint_phase3_training_epoch_18921_20260224_154739.pth \
  --dirac-checkpoint best_dirac.pth

Core Capabilities

Stark Effect

Electric polarizability calculations with zero error

Relativistic QM

Dirac equation solver for hydrogen

QED Corrections

Lamb shift and anomalous magnetic moment

Visualization

Orbital and state evolution visualization

Entanglement

Entangled state analysis and entropy tracking

Benchmarks

Performance metrics and validation results

Research Foundation

QC is built on peer-reviewed research demonstrating that neural network backends can preserve quantum mechanical constraints without explicit enforcement. All three backends—Hamiltonian, Schrödinger, and Dirac—produce identical results across standard algorithms and achieve 100% correlation energy recovery for molecular hydrogen.

Constraint Preservation

Neural backends preserve phase, norm, and entropy

Extended Capabilities

Stark effect, QED corrections, and polyatomic molecules

Get Started

Installation Guide

Set up your environment and dependencies

Quickstart Tutorial

Run your first quantum simulation in minutes

API Reference

Explore the complete API documentation

View on GitHub

Contribute to the open-source project

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