Project
AA-Tech-6
Bayesian Optimal Design for Auto-Calibration of Spin-Qubit Shuttling in Disordered Si/SiGe Quantum Processors
Project Heads
Martin Eigel, Markus Kantner, Lars Schreiber (associated)
Project Members
Abel Thaiyil
Project Duration
01.01.2027 − 31.12.2028
Located at
WIAS
Description
We develop an algorithmic framework for auto-calibration of spin-qubit shuttling devices in disordered SiGe quantum processors. Exploiting the Markov structure of quantum state propagation and physics-informed priors, the problem is formulated as a joint Bayesian inversion and optimal experimental design problem.
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