1 citations · 1 across the 3 of their papers we have counts for
3 papers
Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning
Arielle Sanford, Andrew T. Kamen, Frederic T. Chong +1
We introduce HAML (Hamiltonian Adaptation via Meta-Learning), a framework for fast online adaptation of effective Hamiltonian models of superconducting quantum processors. HAML pro…
Comparing and correcting robustness metrics for quantum optimal control
Andrew T. Kamen, Samuel Fine, Bikrant Bhattacharyya +2
Control pulses that nominally optimize fidelity are sensitive to routine hardware drift and modeling errors. Robust quantum optimal control seeks error-insensitive control pulses t…
Erbium doped yttrium oxide thin films grown by chemical vapour deposition for quantum technologies
Anna Blin, Alexander Kolar, Andrew Kamen +8
The obtention of quantum-grade rare-earth doped oxide thin films that can be integrated with optical cavities and microwave resonators is of great interest for the development of s…