Search Results for author: Travis L. Scholten

Found 3 papers, 1 papers with code

Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor

no code implementations14 Dec 2020 Amir H. Karamlou, William A. Simon, Amara Katabarwa, Travis L. Scholten, Borja Peropadre, Yudong Cao

We execute experimental demonstrations using a superconducting quantum processor, and investigate the trade-off between quantum resources (number of qubits and circuit depth) and the probability that a given integer is successfully factored.

Quantum Physics

Classifying single-qubit noise using machine learning

no code implementations30 Aug 2019 Travis L. Scholten, Yi-Kai Liu, Kevin Young, Robin Blume-Kohout

Quantum characterization, validation, and verification (QCVV) techniques are used to probe, characterize, diagnose, and detect errors in quantum information processors (QIPs).

BIG-bench Machine Learning Feature Engineering

Behavior of the maximum likelihood in quantum state tomography

1 code implementation14 Sep 2016 Travis L. Scholten, Robin Blume-Kohout

Because of the positivity constraint $\rho \geq 0$, quantum state space does not generally satisfy local asymptotic normality, meaning the classical null theory for the loglikelihood ratio (the Wilks theorem) should not be used.

Quantum Physics

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