I am a Senior Quantum Computational Scientist at Pasqal with a strong track record in quantum algorithms for chemistry and machine learning.

My recent work at Pasqal includes quantum-enhanced density functional theory and hybrid graph neural networks. During my PhD at IBM Research Zurich, I demonstrated error-resilient quantum simulations of molecular dynamics, protein folding, advanced orbital-optimised variational algorithms, and transcorrelated methods for electronic structure calculations.

I lead R&D projects with industrial partners such as Saudi Aramco and contribute to open-source packages such as QEX, a differentiable quantum chemistry framework in JAX.

I am currently developing quantum error correction approaches for neutral-atom quantum computers at Pasqal, and building a resource-estimation framework for fault-tolerant quantum computing applications, with a particular focus on chemistry and materials science.

Research Interests

My research focuses on developing practical quantum algorithms for chemistry and materials simulation, with an emphasis on near-term applicability. I am particularly interested in the intersection of quantum computing for chemistry and machine learning, where I believe we can make current (noisy) quantum computers useful for chemistry by integrating them with AI techniques.

• Quantum computing for electronic structure, including orbital optimization, transcorrelated methods, and variational algorithms
• Hybrid quantum-classical frameworks, such as differentiable DFT implemented in GPU-accelerated platforms connected to quantum neural networks
• Quantum machine learning, particularly quantum encodings for molecular graphs and their application to molecular property prediction
• Quantum error correction and resource estimation for fault-tolerant chemistry and materials science applications

Selected Achievements

• Top 3 Best Papers at MoML 2024 conference at MIT
• Presenter at ICML 2024 (International Conference on Machine Learning)
• Lead developer for IBM Quantum Challenge 2021 - Chemistry
• Best Talk Award at QCxQC Conference 2020
• Patent filed for quantum-enhanced DFT (2024)

Full publication list: Google Scholar