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ZBIT-CORE-v2: Scalable Floquet-topological quantum simulator (500+ qubits) with HOTRG tensor networks & hybrid QML. 100x speedup vs ED. 9/9 validation. CC BY-NC-ND 4.0 — commercial use requires license.

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ZBIT-CORE-v2

Architecture Ψ(t) = U_QML · U_HOTRG · U_Topology · U_Floquet(t) |Ψ₀⟩

Scalable Floquet-Topological Quantum Simulation with 3D Tensor Networks and Hybrid QML

License: CC BY-NC-ND 4.0 Python 3.10+ arXiv

Production-ready | 500+ qubits | 100x faster than Exact Diagonalization | 9/9 validation tests


Overview

ZBIT-CORE-v2 is a high-performance, open-source quantum simulation framework designed for Floquet-topological systems at unprecedented scales. Powered by Higher-Order Tensor Renormalization Group (HOTRG) and hybrid Quantum Machine Learning (QML) control, it enables:

  • 500+ qubits simulation on standard hardware
  • 100x speedup over classical methods (ED, TEBD)
  • Topological protection via Majorana zero modes
  • Chaos detection through Out-of-Time-Order Correlators (OTOC)
  • Full validation suite — 9 rigorous physical tests

Key Features

Feature Status
HOTRG Tensor Compression 500+ qubits
Suzuki-Trotter 4th Order High-precision dynamics
QML Control (no barren plateaus) Adaptive evolution
9/9 Validation Suite Spin, energy, Floquet, Lyapunov, Noether
OTOC & Spectral Analysis Quantum chaos & stability
arXiv-Ready Reports JSON + LaTeX export

Quick Start

# Install
pip install -e .

# Run medium demo (10 qubits)
python demo_medio.py

![quantum-computing](https://img.shields.io/badge/topic-quantum__computing-blue)
![tensor-networks](https://img.shields.io/badge/topic-tensor__networks-green)
![hotrg](https://img.shields.io/badge/topic-HOTRG-orange)
![qml](https://img.shields.io/badge/topic-QML-purple)

About

ZBIT-CORE-v2: Scalable Floquet-topological quantum simulator (500+ qubits) with HOTRG tensor networks & hybrid QML. 100x speedup vs ED. 9/9 validation. CC BY-NC-ND 4.0 — commercial use requires license.

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