news
- Aug 2026 New preprint on arXiv: “Train classical, deploy quantum” requires rethinking generalization. Read it on arXiv or in the blog post.
- Jul 2026 Invited instructor at the ACM India Faculty Development Programme 2026 on Quantum Circuits, Communication & Error Correction, hosted at NISER Bhubaneswar! See the programme page.
- Jun 2026 New preprint on arXiv: “Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler–Leman Hierarchy”. Read it on arXiv, with an interactive project page and open code.
- Jun 2026 New preprint on arXiv: “Adaptive Directional Gradients for Parameterised Quantum Circuits”. Read it on arXiv.
- Apr 2026 Taught Quantum Information (PHY139) at Sorbonne University Abu Dhabi!
- Feb 2026 Gave a talk on “Quantum-Inspired Compound Adapters” at the Nordita winter school “Quantum Machine Learning: from Fundamentals to Applications” in Stockholm! See the event page and read the paper.
- Nov 2025 Our paper “Training-Efficient Density Quantum Machine Learning” published in npj Quantum Information! Read it here.
- Aug 2025 Our paper “Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection” published at IEEE Quantum Week 2025! Read it here.
- Nov 2024 Presented “Training-Efficient Density Quantum Machine Learning” at QTML 2024 in Melbourne! Watch the talk and read the paper.
- Jun 2024 Started my CIFRE PhD at Sorbonne University / LIP6 and QC Ware, working on quantum & quantum-inspired machine learning!