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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Challenge 99/24: Bridging the Technological Gap in Spin Qubit Devices
In the previous post, we discussed the gap in Technological Readiness Levels (TRL), a “valley of death” that currently traps…
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The Valley of Death: Why Quantum Systems Engineering Never Really Took Off
In the previous parts, we established that Scientists and Engineers speak different languages, yet they often need to share tools…
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Systems Engineering: When Science Becomes Engineering
In the previous post, we left off with the tension between the Scientist (who wants to open the black box)…
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.
