482 citations · 2.2k across the 52 of their papers we have counts for
5 papers · 1 filter
Analog quantum variational embedding classifier
Rui Yang, Samuel Bosch, Bobak Kiani +2
Quantum machine learning has the potential to provide powerful algorithms for artificial intelligence. The pursuit of quantum advantage in quantum machine learning is an active are…
Optimizing for periodicity: a model-independent approach to flux crosstalk calibration for superconducting circuits
X. Dai, R. Trappen, R. Yang +12
Flux tunability is an important engineering resource for superconducting circuits. Large-scale quantum computers based on flux-tunable superconducting circuits face the problem of…
Tunable Coupler for Mediating Interactions between a Two-Level System and a Waveguide from a Decoupled State to the Ultra-Strong Coupling Regime
N. Janzen, X. Dai, S. Ren +2
Two-level systems (TLS) coupled to waveguides are a fundamental paradigm for light-matter interactions and quantum networks. We introduce and experimentally demonstrate a method to…
Dissipative Landau-Zener tunneling in the crossover regime from weak to strong environment coupling
X. Dai, R. Trappen, H. Chen +22
Landau-Zener tunneling, which describes the transition in a two-level system during a sweep through an anti-crossing, is a model applicable to a wide range of physical phenomena. R…
Aluminum air bridges for superconducting quantum devices realized using a single step electron-beam lithography process
Noah Janzen, Michal Kononenko, Shaun Ren +1
In superconducting quantum devices, air bridges enable increased circuit complexity and density as well as mitigate the risk of microwave loss arising from mode mixing. We implemen…