4 papers
High-fidelity Quantum Readout Processing via an Embedded SNAIL Amplifier
Leon Bello, Boris Mesits, Michael Hatridge +1
Scalable, high-fidelity quantum-state readout remains a central challenge in the development of large-scale superconducting quantum processors. Conventional dispersive readout arch…
End-to-end Optimization of Single-Shot Quantum Machine Learning for Bayesian Inference
Theodoros Ilias, Fangjun Hu, Marti Vives +1
We introduce an end-to-end optimization strategy for quantum machine learning that directly targets performance under finite measurement resources, where learning objectives are de…
Generalized Time-Coarse Graining via an Operator Cumulant Expansion
Leon Bello, Tal Rubin, Wentao Fan +2
We introduce a general framework for deriving effective dynamics from arbitrary time-dependent generators, based on a systematic operator cumulant expansion. Unlike traditional app…
Quantifying the Expressive Capacity of Quantum Systems: Fundamental Limits and Eigentasks
Fangjun Hu, Gerasimos Angelatos, Saeed A. Khan +6
The expressive capacity of quantum systems for machine learning is limited by quantum sampling noise incurred during measurement. Although it is generally believed that noise limit…