Fabian Finger ^{Top-Executive}

I’m a physicist-turned-machine-learning-engineer with 10+ years of experience in 💻 quantum computing,🧠 machine learning, and 🧬 biophysics. After building quantum hardware and simulation tools at ETH Zurich, TUM, and the Max-Planck Institute, I now apply generative models and machine learning to accelerate quantum and molecular discovery at Quantinuum.

Some examples of my work include:
• 𝐀 𝟏𝟎× 𝐬𝐩𝐞𝐞𝐝𝐮𝐩 𝐢𝐧 𝐪𝐮𝐚𝐧𝐭𝐮𝐦 𝐜𝐡𝐞𝐦𝐢𝐬𝐭𝐫𝐲 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 by using GPU-accelerated backends like NVIDIA's CUDA-Q and CuStateVec for scalable LLM development in molecular ground state prediction.
• 𝐀 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 $𝟏𝐌+ 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐩𝐫𝐨𝐩𝐨𝐬𝐚𝐥 𝐰𝐢𝐭𝐡 𝐚 𝟕% 𝐬𝐮𝐜𝐜𝐞𝐬𝐬 𝐫𝐚𝐭𝐞 for simulating new materials on quantum computers, coordinating a cross-team collaboration between Zurich, Budapest, and Kraków.
• 𝐀 𝟒𝟎× 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐧𝐮𝐦𝐞𝐫𝐢𝐜𝐚𝐥 𝐪𝐮𝐚𝐧𝐭𝐮𝐦 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 𝐛𝐲 𝐜𝐨-𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠 𝐓𝐨𝐫𝐜𝐡𝐆𝐏𝐄, a PyTorch-based, GPU-accelerated solver for nonlinear Schrödinger equations, now published in SciPost Physics Codebases and used for many-body cavity QED studies.

I'm passionate about building AI-powered tools for science together with interdisciplinary teams — from LLMs for quantum chemistry to generative models for molecular design and scientific software that accelerates discovery across disciplines.

Let’s connect if you're working at the intersection of AI and the natural sciences — or just want to chat! You can reach me at fabian.finger@pm.me 🎉