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20242026
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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

Detailed assessment of calculating drag force with quantum computers: Explicit time-evolution precludes exponential advantage for nonlinear differential equations

John Penuel, Amara Katabarwa, Peter D. Johnson +5

This study examines the potential for fault-tolerant quantum computers to provide utility in fluid dynamics simulations, with a focus on drag force calculations for ship hull desig…

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-ph2024

Manipulating quasi-bound states in a photonic crystal with periodic impurities to store quantum information

Benjamin Rempfer, Gonzalo Ordonez

We analytically model a one-dimensional lattice with periodic impurities representing a photonic crystal from first principles. We then investigate bound states in the continuum by…