collaborators

7 papers

quant-ph2026

Harmonic sequence state-preparation

Benjamin Rempfer, Parker Kuklinski, Justin Elenewski +1

We demonstrate an efficient circuit to prepare a quantum state with amplitudes proportional to a harmonic sequence. We do this by first preparing a large quantum state with linearl…

quant-ph2025

Efficient block-encodings require structure

Parker Kuklinski, Benjamin Rempfer, Justin Elenewski +1

Block-encodings are ubiquitous in quantum computing as a way to represent data within a unitary operator. While several unstructured methods are applicable to arbitrary data, these…

quant-ph2025

A simpler Gaussian state-preparation

Parker Kuklinski, Benjamin Rempfer, Kevin Obenland +1

The ability to efficiently state-prepare Gaussian distributions is critical to the success of numerous quantum algorithms. The most popular algorithm for this subroutine (Kitaev-We…

quant-ph2025

Quantum computing for corrosion-resistant materials and anti-corrosive coatings design

Nam Nguyen, Thomas W. Watts, Benjamin Link +14

Corrosion is a pervasive issue that impacts the structural integrity and performance of materials across various industries, imposing a significant economic impact globally. In fie…

quant-ph2024

Quantum Resources for Pure Thermal Shadows

Arnav Sharma, Kevin Obenland

Calculating the properties of Gibbs states is an important task in Quantum Chemistry and Quantum Machine Learning. Previous work has proposed a quantum algorithm which predicts Gib…

quant-ph2024

Comparison of Superconducting NISQ Architectures

Benjamin Rempfer, Kevin Obenland

Advances in quantum hardware have begun the noisy intermediate-scale quantum (NISQ) computing era. A pressing question is: what architectures are best suited to take advantage of t…