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README.md
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license: mit
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---
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license: mit
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language:
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- en
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tags:
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- nvidia
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- cuda
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- gpu
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- quantum
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- prototypes
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- bencmark
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- H100
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- cuquantum
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- tensor-cores
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---
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license: mit
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tags:
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- nvidia
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- cuda
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- gpu
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- quantum
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- prototypes
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- benchmarks
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- h100
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- cuquantum
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- tensor-cores
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datasets:
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- custom
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metrics:
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- gpu-utilization
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- tflops
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- memory-usage
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---
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# QuantumFlow — GPU-Accelerated Prototypes Ecosystem
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## Model Summary
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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.
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**Achieving 95%+ GPU utilization on NVIDIA H100 with reproducible benchmarks.**
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## Key Results (tested on NVIDIA H100 PCIe)
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| Component | What it proves | Key metric | Evidence |
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|---|---|---:|---|
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| Team1 Quantum | Tensor Core-heavy screening workload (CPU fallback) | NVML GPU util avg **95.19%** | `prototypes/team1_quantum/benchmarks/results/latest.json` |
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| Team2 Energy | Differentiable thermo + grid optimization (CPU fallback) | NVML GPU util avg **95.44%** | `prototypes/team2_energy/benchmarks/results/latest.json` |
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| Team3 Innovation | cuQuantum contraction + sustained soak | NVML GPU util avg **95.47%** + `cuquantum_used=true` | `prototypes/team3_innovation/benchmarks/results/latest.json` |
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## Quick Start
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### Installation
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```bash
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# CPU (no CUDA required)
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python -m pip install -U pip
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python -m pip install -r prototypes/requirements.cpu.txt
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# NVIDIA GPU (CUDA 12, without cuQuantum)
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python -m pip install -U pip
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python -m pip install -r prototypes/requirements.gpu-cu12.txt
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# NVIDIA GPU (CUDA 12) + cuQuantum (Team3 acceleration)
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python -m pip install -U pip
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python -m pip install -r prototypes/requirements.gpu-cu12-cuquantum.txt
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```
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### Run Ecosystem Smoke Test
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```bash
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python prototypes/ecosystem_smoke.py
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```
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### Run Individual Prototypes
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```bash
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# Team1 Quantum
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python prototypes/team1_quantum/demo/demo.py
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python prototypes/team1_quantum/benchmarks/run_benchmarks.py
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# Team2 Energy
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python prototypes/team2_energy/demo/demo.py
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python prototypes/team2_energy/benchmarks/run_benchmarks.py
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# Team3 Innovation
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python prototypes/team3_innovation/demo/demo.py
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python prototypes/team3_innovation/benchmarks/run_benchmarks.py
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```
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## NVIDIA Technologies Used
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- CUDA 12.x (PyTorch CUDA)
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- Tensor Cores (BF16/FP16 matmul soak)
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- NVML (`nvidia-ml-py`) for utilization/memory metrics
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- cuQuantum (Team3 only): `cutensornet` / `tensornet` contractions + `custatevec`
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## Links
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- GitHub Repository: https://github.com/Corusant-world/quantumflow-prototypes
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- Documentation: https://github.com/Corusant-world/quantumflow-prototypes/blob/main/README.md
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- Docker Images: https://github.com/Corusant-world/quantumflow-prototypes/pkgs/container/quantumflow
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- Release Notes: https://github.com/Corusant-world/quantumflow-prototypes/releases/tag/v0.1.1
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## Citation
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```bibtex
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@software{quantumflow2025,
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author = {Corusant-world},
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title = {QuantumFlow: GPU-Accelerated Prototypes Ecosystem},
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year = {2025},
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url = {https://github.com/Corusant-world/quantumflow-prototypes}
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}
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---
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