---
license: mit
language:
- en
tags:
- nvidia
- cuda
- gpu
- quantum
- prototypes
- bencmark
- H100
- cuquantum
- tensor-cores
---
license: mit
tags:
- nvidia
- cuda
- gpu
- quantum
- prototypes
- benchmarks
- h100
- cuquantum
- tensor-cores
datasets:
- custom
metrics:
- gpu-utilization
- tflops
- memory-usage
---

# QuantumFlow — GPU-Accelerated Prototypes Ecosystem

## Model Summary

QuantumFlow is a collection of three GPU-first prototypes designed to run together in one environment, demonstrating reproducible GPU validation, cuQuantum acceleration, and ecosystem compatibility.

**Achieving 95%+ GPU utilization on NVIDIA H100 with reproducible benchmarks.**

## Key Results (tested on NVIDIA H100 PCIe)

| Component | What it proves | Key metric | Evidence |
|---|---|---:|---|
| Team1 Quantum | Tensor Core-heavy screening workload (CPU fallback) | NVML GPU util avg **95.19%** | `prototypes/team1_quantum/benchmarks/results/latest.json` |
| Team2 Energy | Differentiable thermo + grid optimization (CPU fallback) | NVML GPU util avg **95.44%** | `prototypes/team2_energy/benchmarks/results/latest.json` |
| Team3 Innovation | cuQuantum contraction + sustained soak | NVML GPU util avg **95.47%** + `cuquantum_used=true` | `prototypes/team3_innovation/benchmarks/results/latest.json` |

## Quick Start

### Installation

```bash
# CPU (no CUDA required)
python -m pip install -U pip
python -m pip install -r prototypes/requirements.cpu.txt

# NVIDIA GPU (CUDA 12, without cuQuantum)
python -m pip install -U pip
python -m pip install -r prototypes/requirements.gpu-cu12.txt

# NVIDIA GPU (CUDA 12) + cuQuantum (Team3 acceleration)
python -m pip install -U pip
python -m pip install -r prototypes/requirements.gpu-cu12-cuquantum.txt
```

### Run Ecosystem Smoke Test

```bash
python prototypes/ecosystem_smoke.py
```

### Run Individual Prototypes

```bash
# Team1 Quantum
python prototypes/team1_quantum/demo/demo.py
python prototypes/team1_quantum/benchmarks/run_benchmarks.py

# Team2 Energy
python prototypes/team2_energy/demo/demo.py
python prototypes/team2_energy/benchmarks/run_benchmarks.py

# Team3 Innovation
python prototypes/team3_innovation/demo/demo.py
python prototypes/team3_innovation/benchmarks/run_benchmarks.py
```

## NVIDIA Technologies Used

- CUDA 12.x (PyTorch CUDA)
- Tensor Cores (BF16/FP16 matmul soak)
- NVML (`nvidia-ml-py`) for utilization/memory metrics
- cuQuantum (Team3 only): `cutensornet` / `tensornet` contractions + `custatevec`

## Links

- GitHub Repository: https://github.com/Corusant-world/quantumflow-prototypes
- Documentation: https://github.com/Corusant-world/quantumflow-prototypes/blob/main/README.md
- Docker Images: https://github.com/Corusant-world/quantumflow-prototypes/pkgs/container/quantumflow
- Release Notes: https://github.com/Corusant-world/quantumflow-prototypes/releases/tag/v0.1.1

## Citation

```bibtex
@software{quantumflow2025,
  author = {Corusant-world},
  title = {QuantumFlow: GPU-Accelerated Prototypes Ecosystem},
  year = {2025},
  url = {https://github.com/Corusant-world/quantumflow-prototypes}
}
---