arthurostrauss

PhD Student in Quantum Computing, at the frontier between theoretical and experimental physics, my daily routine consists in building classical Reinforcement Learning agents that are able to find optimal calibrations for quantum gate operations on hardware that are noise-robust and tailormade for the algorithm application in which those are meant to be applied. On top of this research, I also lead community events in Singapore through a regular Quantum Tech Meetups, and I also am currently working in the Software Architecture Team in the global leader of quantum control solutions Quantum Machines, building the next generation of the quantum computing stack integrating further classical and quantum resources together for use cases of tomorrow (QEC, FTQC, real-time calibrations, among many others...).