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Scalable high-fidelity trapped ion qubit state detection with the Hamamatsu ORCA-Quest IQ camera

Dr. Andrew Van Horne, Duke University
June 24, 2026

About this webinar

How can trapped ion quantum computers scale to larger qubit counts while maintaining high-fidelity readout? In this webinar, Dr. Andrew Van Horn (Duke University) demonstrates how the Hamamatsu ORCA®-Quest IQ qCMOS camera enables scalable, high-fidelity qubit state detection with performance comparable to traditional PMT-based systems. Learn how camera-based detection can simplify multi-qubit readout and support the next generation of trapped ion quantum computers.

Hosted by Optics.org.

About the presenter

Dr. Andrew Van Horn received his Ph.D. from Duke University, where he conducted research in Dr. Jungsang Kim's group. His work centered on scalable hardware architectures and enabling technologies for trapped-ion quantum computing.