How I Learned to Stop Worrying and Love the Quantum and AI
Welcome to my corner of the internet, where you can observe me, a researcher in my natural habitat. My work lies at the intersection of quantum computing and machine learning, somewhere between the experimental lab and the chalkboard. Here, you can track my research progress, read my thoughts on recent papers and events, and even get a glimpse into family life (when I remember to post).
Blog
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Erratiq: Human Perception for Quantum Error Decoding
TL;DR: You can help develop better quantum decoders by playing the Erratiq game. Human perception allows us to automatically detect…
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Quantum Digital Twin: How I Trained AI to Hallucinate the Physics of a 17-Qubit Processor
I recently got my hands on a 17-qubit superconducting transmon device of Quantum Inspire (https://www.quantum-inspire.com/). Before developing complex quantum algorithms,…
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The Lego Test: How much systems thinking does an LLM have?
This post is a more practical take following the previous post on Bayesian thinking and systems engineering for the future…
After hours
Random thoughts
Projects
Quantum Learning Machines
Practical use of noisy quantum devices for data-driven learning, reinforcement learning and generative AI.
Charge noise in spin qubits
Arguably the biggest obstacle to large scale spin qubit device. Experimental characterization and ab-initio simulation
Quantum games
Games drive progress, from chess to computer graphics. Now the time has come to quantum technologies.
Spin Qubits Emulator
Spin qubit are complex. We develop digital twin to generate data for training control and tuning algorithms.
Close-loop Feedback Quantum control
Qubits suffer from dynamical noise. We deploy real-life FPGA controller to track down and correct random fluctuations.
Machine Learning For Quantum
Classical machine learning methods for processing and simulating quantum systems and devices from sparse data.
