Design and simulate real-world quantum circuits for chemistry, AI, and error correction using IBM Qiskit and variational methods.
Quantum computing is moving from theory toward practical experimentation—and simulation is the critical bridge. In this workshop, you’ll work hands-on with IBM Qiskit to design, optimize, and evaluate quantum circuits under realistic constraints. From molecular simulation and variational algorithms to quantum machine learning and error correction, the session focuses on how today’s researchers and engineers prototype quantum solutions before large-scale hardware arrives.
Speaker
Stefano Veroni
Stefano Veroni is a Researcher in Quantum Computing at the University of Oxford, working in the Theory of Quantum Systems group. His research focuses on quantum error correction, variational quantum algorithms, and optimizing physical operations in quantum hardware. Previously, he worked at planqc, a quantum computing startup in Munich, contributing to neutral-atom quantum systems. He holds a Physics degree from Imperial College London, where he was awarded the prestigious Callendar Prize for all-round academic excellence. His work bridges quantum theory with applied problems in chemistry, finance, and machine learning.
Agenda
What “applied” quantum simulation really means today
How variational quantum algorithms work (VQE intuition)
Simulating real problems: chemistry, finance, and ML examples
Why error correction is the bottleneck—and how it’s studied in practice
What students do hands-on with Qiskit in the PBL
Q&A
Related Project
https://program.blendedlearn.org/pbls/applied-quantum-simulation-%E2%80%93-ibm-qiskit-project