Multi-Node Multi-GPU Quantum Simulation
Distributed statevector simulation with NVIDIA CUDA-Q across multiple GPUs and nodes on Vast.ai — pushing simulable qubit counts past single-device limits.
read write-up ↗I'm George Jiri Spitalsky — I build quantum algorithms, scale statevector simulation across multiple GPUs and nodes with NVIDIA CUDA-Q, and turn applied AI research into working systems.
George (spital) works where quantum computing meets artificial intelligence. He's a Qiskit Advocate, holds 15+ quantum credentials on Credly, and was personally recommended by an IBM manager. He completed every lab during Qiskit Global Summer School's dev week and will mentor at QGSS 2026 this July.
His open-source work spans quantum software — including five accepted pull requests during UnitaryHack 2026 — alongside machine learning and low-level systems work in RISC-V. On the HPC side, he runs distributed statevector simulation with NVIDIA CUDA-Q across multiple GPUs and nodes.
In 2020 — years before ChatGPT — he built a GPT-2-based conversational model with translation across Czech, English, Arabic, Polish, and German. Same instinct, every time: take what's barely possible and make it real, reproducible, and fast.
Quantum HPC, language models, and open-source quantum software — every result has a verifiable trail.
Distributed statevector simulation with NVIDIA CUDA-Q across multiple GPUs and nodes on Vast.ai — pushing simulable qubit counts past single-device limits.
read write-up ↗A fine-tuned GPT-2 language model for Czech, open-sourced on GitHub — practical, reproducible NLP for an under-resourced language.
view repo ↗A ChatGPT predecessor built on GPT-2 with translation across Czech, English, Arabic, Polish & German — conversational AI years ahead of the curve.
more on github ↗Five accepted pull requests to open-source quantum software during UnitaryHack 2026 — contributing to the tools the quantum community relies on.
see contributions ↗Top of the preliminary scoreboard in the 2026 quantum qualification round — a measurable, competitive result against a strong field.
view scoreboard ↗Accepted into the Qiskit Advocate program; completed every QGSS dev-week lab; mentoring new students at QGSS 2026 this July.
see credentials ↗A clear, low-risk pipeline for research engagements, quantum prototypes, and applied-AI builds.
Scope the problem — quantum feasibility, AI architecture, constraints, and success metrics.
Algorithm/model design, a working prototype, and a clear plan with milestones.
Reproducible, tested code with real quantum-backend or multi-GPU integration.
Documentation, benchmarks, and a clean handover — with optional ongoing support.
Recognition from industry and the open-source quantum community — all independently verifiable.
George pairs genuine quantum depth with the engineering discipline to actually ship. A rare combination on any team.
His CUDA-Q simulation scaled cleanly across nodes — exactly the kind of HPC-quantum engineering the field needs.
Five accepted PRs in a single hackathon. He simply understands open-source quantum software and how to contribute.
Open to quantum & AI research collaborations, freelance builds, and QGSS 2026 mentoring. Describe your problem — or reach me directly below.