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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Lego test: How much systems thinking LLM has?
We had a few days off, so we were playing with Legos. At some point, my 6-year-old son suggested, “Can…
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![[Listened] Blocks of Intelligence: Why AI Needs Systems Engineering and the Scientific Method](https://jan-a-krzywda.com/wp-content/uploads/2026/03/beck-530x250.png)
[Listened] Blocks of Intelligence: Why AI Needs Systems Engineering and the Scientific Method
I’ve been away for a bit recently, mostly focusing on toughening up my immune system. Taking some time off, I…
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Formula Mar1 – #1 Gym
GitHub repo: https://github.com/jan-a-krzywda/marl-f1 “What I cannot create, I do not understand.” When Richard Feynman wrote those famous last words on…
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.
