4 citations · 8 across the 9 of their papers we have counts for
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quant-ph2023★ 4 cited
Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement
Saeed A. Khan, Ryan Kaufman, Boris Mesits +2
We develop and demonstrate a trainable temporal post-processor (TPP) harnessing a simple but versatile machine learning algorithm to provide optimal processing of quantum measureme…
quant-ph2023
Josephson parametric amplifier with Chebyshev gain profile and high saturation
Ryan Kaufman, Theodore White, Mark I. Dykman +10
We demonstrate a Josephson parametric amplifier design with a band-pass impedance matching network based on a third-order Chebyshev prototype. We measured eight amplifiers operatin…
physics.app-ph2023
Parametric Amplifier Matching Using Legendre Prototypes
Ryan Kaufman, Ofer Naaman
In this note we describe Josephson parametric amplifier (JPA) matching networks based on Legendre polynomials. These networks typically exhibit lower ripple and gentler roll-off th…