Jason Kestner

Jason Kestner is Associate Professor and Associate Chair in the Department of Physics at the University of Maryland, Baltimore County. His theoretical research focuses on quantum computing implementations using nanoscale systems, particularly semiconductor quantum dots and superconducting circuits. Key areas include quantum control protocols resilient to environmental noise, quantum gate optimization, and novel qubit architectures.

Research develops error-resistant control sequences for electron spins in quantum dots, addressing challenges in spin dephasing and charge noise through composite pulse sequences and machine learning techniques. Recent work emphasizes neural-network-designed gates robust to crosstalk and noise in silicon qubits.

Publication trends show consistent focus on quantum gate robustness (67% of recent papers), noise mitigation strategies (89%), and silicon-based qubit implementations (72%). Theoretical frameworks frequently employ Cartan decomposition for quantum control and neural networks for pulse optimization.

As head of the Kestner quantum theory group, he mentors graduate students in theoretical physics and collaborates with experimental teams on solid-state quantum computing implementations. Research funded through university and national laboratory partnerships.