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Ryan LaRose
Researcher at Michigan State University
Publications - 23
Citations - 1461
Ryan LaRose is an academic researcher from Michigan State University. The author has contributed to research in topics: Quantum computer & Qubit. The author has an hindex of 11, co-authored 16 publications receiving 817 citations. Previous affiliations of Ryan LaRose include Los Alamos National Laboratory.
Papers
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Journal ArticleDOI
Quantum-assisted quantum compiling
Sumeet Khatri,Sumeet Khatri,Ryan LaRose,Ryan LaRose,Alexander Poremba,Alexander Poremba,Lukasz Cincio,Andrew T. Sornborger,Patrick J. Coles +8 more
TL;DR: This work proposes a variational hybrid quantum-classical algorithm called quantum-assisted quantum compiling (QAQC), and presents both gradient-free and gradient-based approaches to minimizing the cost of this algorithm's cost.
Journal ArticleDOI
Robust data encodings for quantum classifiers
Ryan LaRose,Brian Coyle +1 more
TL;DR: This work studies data encodings for binary quantum classification and investigates their properties both with and without noise, and proves several results on robustness for different channels and an upper bound on the number of robust points in terms of fidelities between noisy and noiseless states.
Proceedings ArticleDOI
Digital zero noise extrapolation for quantum error mitigation
TL;DR: This work reviews the fundamentals of ZNE and proposes several improvements to noise scaling and extrapolation, the two key components in the technique, and introduces unitary folding and parameterized noise scaling.
Journal ArticleDOI
Variational Quantum State Diagonalization
Ryan LaRose,Ryan LaRose,Arkin Tikku,Arkin Tikku,Étude O’Neel-Judy,Lukasz Cincio,Patrick J. Coles +6 more
TL;DR: In this paper, a hybrid quantum-classical algorithm for quantum state diagonalization is presented. But it is not suitable for the use of quantum computers, as it is computationally computationally expensive.
Journal ArticleDOI
Variational Quantum State Diagonalization
Ryan LaRose,Ryan LaRose,Arkin Tikku,Arkin Tikku,Étude O’Neel-Judy,Lukasz Cincio,Patrick J. Coles +6 more
TL;DR: In this paper, a hybrid quantum-classical algorithm for quantum state diagonalization is presented. But it is not suitable for the use of quantum computers, as it is computationally computationally expensive.