activity
20212026
most citedPractical Trainable Temporal Postprocessor for Multistate Quantum Measurement

4 citations · 8 across the 9 of their papers we have counts for

collaborators

9 papers

quant-ph2026

Precision quantum simulation of magnon spectra and interactions

Trond I. Andersen, Nikita Astrakhantsev, Jeronimo Martinez +329

Quantum simulation promises to advance materials discovery by accurately simulating complex states of matter, their microscopic excitations, and macroscopic response functions. The…

quant-ph2026

Multifractal and Glassy Signatures of Non-Ergodic 2D Quantum Dynamics

Aleksey Lunkin, Nicole S. Ticea, Michael T. Solomon +296

The fate of ergodicity and localization in disordered, interacting quantum systems in two spatial dimensions remains an outstanding open problem in non-equilibrium physics. Theoret…

quant-ph2025

Exceeding the Parametric Drive Strength Threshold in Nonlinear Circuits

Mingkang Xia, Cristóbal Lledó, Matthew Capocci +7

Superconducting quantum circuits rely on strong drives to implement fast gates, high-fidelity readout, and state stabilization. However, these drives can induce uncontrolled excita…

quant-ph2024

Simple, High Saturation Power, Quantum-limited, RF SQUID Array-based Josephson Parametric Amplifiers

Ryan Kaufman, Chenxu Liu, Katarina Cicak +7

High-fidelity quantum non-demolition qubit measurement is critical to error correction and rapid qubit feedback in large-scale quantum computing. High-fidelity readout requires pas…

quant-ph2024★ 3 cited

Pump-efficient Josephson parametric amplifiers with high saturation power

Nicholas M. Hougland, Zhuan Li, Ryan Kaufman +4

Circuit QED based quantum information processing relies on low noise amplification for signal readout. In the realm of microwave superconducting circuits, this amplification is oft…

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…

quant-ph2021★ 1 cited

Realizing all-to-all couplings among detachable quantum modules using a microwave quantum state router

Chao Zhou, Pinlei Lu, Matthieu Praquin +8

One of the primary challenges in realizing large-scale quantum processors is the realization of qubit couplings that balance interaction strength, connectivity, and mode confinemen…