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Alexander Poremba
Researcher at Los Alamos National Laboratory
Publications - 21
Citations - 607
Alexander Poremba is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Quantum computer & Computer science. The author has an hindex of 6, co-authored 12 publications receiving 319 citations. Previous affiliations of Alexander Poremba include California Institute of Technology.
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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
Variational Quantum Fidelity Estimation
TL;DR: In this paper, the authors proposed novel lower and upper bounds for the fidelity F(ρ,σ) based on the "truncated fidelity'", which is evaluated for a state ρ_m obtained by projecting ρ onto its largest eigenvalues.
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: In this paper, a variational hybrid quantum-classical algorithm called quantum-assisted quantum compiling (QAQC) is proposed, which uses the overlap between a target unitary $U$ and a trainable unitary$V$ as the cost function to be evaluated on the quantum computer.
Journal ArticleDOI
Variational Quantum Fidelity Estimation
TL;DR: This work proposes novel lower and upper bounds for the fidelity F(ρ,σ) based on the ``truncated fidelity'' F(ν,σ), which is evaluated for a state ρm obtained by projecting ρ onto its m-largest eigenvalues, and introduces a hybrid quantum-classical algorithm, called Variational Quantum Fidelity Estimation, that involves three steps.
Journal Article
Variational Quantum Fidelity Estimation
TL;DR: In this paper, the authors proposed novel lower and upper bounds for the fidelity F(ρ,σ) based on the "truncated fidelity'", which is evaluated for a state ρ_m obtained by projecting ρ onto its largest eigenvalues.