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20182026
most citedNovel Technique for Robust Optimal Algorithmic Cooling

17 citations · 19 across the 3 of their papers we have counts for

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9 papers · 1 filter

quant-ph2026

Spectral amplification for ground-state energy estimation of electronic structure in first quantization

Alicja Dutkiewicz, Alec F. White, Guang Hao Low +6

We demonstrate an asymptotic gate complexity improvement in first-quantized ground-state energy estimation of electronic structure Hamiltonians in a plane wave basis by employing t…

quant-ph2024

Short-time simulation of quantum dynamics by Pauli measurements

Paul K. Faehrmann, Jens Eisert, Maria Kieferova +1

Simulating the dynamics of complex quantum systems is a central application of quantum devices. Here, we propose leveraging the power of measurements to simulate short-time quantum…

quant-ph2024

Prospects for Quantum Computation in Propellant Design: Assessing the Stability of Cyclic Ozone in Nanoscale Confinement

Thomas W. Watts, Matthew Otten, Jason T. Necaise +14

Cyclic ozone additives have the potential to markedly increase the specific impulse of rocket fuel. This would translate to greater efficiency and reduced costs for space lift by g…

quant-ph2024

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-ph20212 cited

Quantum Generative Training Using Rényi Divergences

Maria Kieferova, Ortiz Marrero Carlos, Nathan Wiebe

Quantum neural networks (QNNs) are a framework for creating quantum algorithms that promises to combine the speedups of quantum computation with the widespread successes of machine…

quant-ph2020

Entanglement Induced Barren Plateaus

Carlos Ortiz Marrero, Mária Kieferová, Nathan Wiebe

We argue that an excess in entanglement between the visible and hidden units in a Quantum Neural Network can hinder learning. In particular, we show that quantum neural networks th…