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. Lots of data is needed for autonomous tuning and new algorithms dev. Digital twin is needed for that.
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.
