Massachusetts Institute of Technology

Rtx Bbn Technologies, Inc.

Terry Philip Orlando

William D Oliver

Thomas Ohki

Hari Kiran Krovi

Simon Gustavsson

Luke Colin Gene Govia

Antti Pekka Vepsalainen

Sergio O Valenzuela

Leonid S Levitov

Benjamin Lienhard

David M Berns

Mark S Rudner

Techniques for machine learning assisted qubit state readout are disclosed. A system a set of training data that describes states of multiple qubits, and trains a neural network to determine qubit states based on the set of training data. The system obtains one or more unlabeled qubit signals, and determines one or more states corresponding to the unlabeled qubit signal(s), using the neural network. The unlabeled qubit signal(s) may include one or more multiplexed qubit signals, and the state(s) corresponding to the unlabeled qubit signal(s) may include one or more multi-qubit states based on the multiplexed qubit signal(s).

Machine learning assisted qubit state readout

A system and method for providing amplitude spectroscopy is provided. Generally, the system contains a generator for providing a waveform for analysis of a multilevel quantum system, wherein the generator has the capability of changing amplitude of the waveform provided and driving the multilevel quantum system at a fixed frequency while sweeping amplitude. A detector is also provided for reading population in different energy states of the multilevel quantum system, wherein the detector plots an amplitude spectroscopy response of the multilevel quantum system. A memory and processor are provided within the system where the processor is configured by the memory to perform the step of plotting an energy-level diagram of the multilevel quantum system from the amplitude spectroscopy plot of the multilevel quantum system.

System and method for providing amplitude spectroscopy of a multilevel quantum system

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Norton, MA, United States of America

Terry Philip Orlando