activity
20242026
most citedDetailed assessment of calculating drag force with quantum computers: Explicit time-evolution precludes exponential advantage for nonlinear differential equations

4 citations · 6 across the 7 of their papers we have counts for

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★ 1 cited

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…

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…

quant-ph2024★ 4 cited

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-ph2024★ 1 cited

S-FABLE and LS-FABLE: Fast approximate block-encoding algorithms for unstructured sparse matrices

Parker Kuklinski, Benjamin Rempfer

The Fast Approximate BLock-Encoding algorithm (FABLE) is a technique to block-encode arbitrary dense matrices into quantum circuits using at most one and two-q…