467 citations · 641 across the 8 of their papers we have counts for
5 papers · 1 filter
Tunable Superconducting Quantum Interference Device Coupler for Fluxonium Qubits
Abhishek Chakraborty, Bibek Bhandari, D. Dominic Briseño-Colunga +7
Tunable couplers enable high-fidelity two-qubit gates leveraging high on/off coupling ratios and reduced crosstalk within a single design. We investigate a galvanically connected d…
Quantum optimal control of superconducting qubits based on machine-learning characterization
Elie Genois, Noah J. Stevenson, Noah Goss +2
Implementing fast and high-fidelity quantum operations using open-loop quantum optimal control relies on having an accurate model of the quantum dynamics. Any deviations between th…
Time-Dependent Hamiltonian Reconstruction using Continuous Weak Measurements
Karthik Siva, Gerwin Koolstra, John Steinmetz +9
Reconstructing the Hamiltonian of a quantum system is an essential task for characterizing and certifying quantum processors and simulators. Existing techniques either rely on proj…
Monitoring fast superconducting qubit dynamics using a neural network
G. Koolstra, N. Stevenson, S. Barzili +11
Weak measurements of a superconducting qubit produce noisy voltage signals that are weakly correlated with the qubit state. To recover individual quantum trajectories from these no…
Quantum-tailored machine-learning characterization of a superconducting qubit
Élie Genois, Jonathan A. Gross, Agustin Di Paolo +5
Machine learning (ML) is a promising approach for performing challenging quantum-information tasks such as device characterization, calibration and control. ML models can train dir…