README.md

metadata

title: SimQuantum Tuning Lab
emoji: ⚛
colorFrom: gray
colorTo: green
sdk: streamlit
sdk_version: 1.57.0
app_file: app.py
pinned: true
license: mit
short_description: Autonomous quantum dot tuning agent — AMD MI300X + Qwen2.5

⚛ SimQuantum Tuning Lab

Autonomous quantum dot tuning · AMD Developer Hackathon 2025

SimQuantum is a 6-stage POMDP agent that autonomously tunes a double quantum dot device to the (1,1) charge state — one electron per dot — required for spin qubit operation.

What runs here (CPU demo)

• ✅ CIM physics simulator — real semiconductor physics
• ✅ Charge stability diagram visualisation
• ✅ Particle filter belief state
• ✅ 5-model CNN ensemble classifier (91.4% val acc, 51k training diagrams)
• ✅ Bayesian optimisation planner
• ✅ HITL safety critic
• ⬡ Dr. Q (Qwen2.5-1.5B) — connect your own vLLM endpoint in the sidebar

Full GPU stack

The complete system runs on AMD Instinct MI300X via ROCm with Qwen2.5-1.5B-Instruct served via vLLM. To connect Dr. Q, set the vLLM endpoint in the sidebar to your MI300X instance.

Architecture

BOOTSTRAPPING → COARSE_SURVEY → HYPERSURFACE_SEARCH → CHARGE_ID
     ↓               ↓                  ↓                  ↓
  DQC gate      32×32 sweep       16×16 local scan    CNN ensemble
                                                      + OOD detector

Navigation (→ VERIFICATION) is Phase 3 — active development.

Links

• GitHub: https://github.com/k1151msarandega/Agentic-Semiconductor-Quantum-Device-Tuning
• AMD Developer Hackathon: https://lablab.ai/ai-hackathons/amd-developer