Abstract:
Our research group is developing spin qubits in two drastically different semiconductors,
namely gallium arsenide and silicon. I will introduce the similarities and differences
between these material systems and explain why gate-defined quantum dots are an
attractive platform to develop spin-based quantum computers. Going from few-qubit
devices to larger quantum-dot arrays, the utilization of massive qubit fabrication in
microelectronics foundries becomes increasingly important for us. However, manual
device characterization at millikelvin temperatures is time consuming and expensive. I
will show our recent efforts to use active-learning approaches and FPGA-based real-time
estimation to characterize quantum dots and spin qubits with minimal human input.
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Refreshments @ 3:30 p.m.
See the CUbit website for streaming information https://www.colorado.edu/initiative/cubit/events
Note: Parking for these events can be found in the basement of the CASE building (the Euclid Parking Garage).