Výsledky vyhledávání - "Müller, Frank A."

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Coprime Bivariate Bicycle Codes and their Properties

Autor: Wang, Ming, Mueller, Frank

This work (1) proposes a novel numerical algorithm to accelerate the search process for good Bivariate Bicycle (BB) codes and (2) defines a new subclass of BB codes suitable for quantum error correction. The proposed acceleration search algorithm red

Externí odkaz: http://arxiv.org/abs/2408.10001

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Structure evolution of nanoparticulate Fe2O3

Autor: Erlebach, Andreas, Kurland, Heinz-Dieter, Grabow, Janet, Müller, Frank A., Sierka, Marek

Publikováno v: Nanoscale, 2015,7, 2960-2969

The atomic structure and properties of nanoparticulate Fe2O3 are characterized starting from its smallest Fe2O3 building unit through (Fe2O3)n clusters to nanometer-sized Fe2O3 particles. This is achieved by combining global structure optimizations a

Externí odkaz: http://arxiv.org/abs/2405.18637

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DiaQ: Efficient State-Vector Quantum Simulation

Autor: Chundury, Srikar, Li, Jiajia, Suh, In-Saeng, Mueller, Frank

In the current era of Noisy Intermediate Scale Quantum (NISQ) computing, efficient digital simulation of quantum systems holds significant importance for quantum algorithm development, verification and validation. However, analysis of sparsity within

Externí odkaz: http://arxiv.org/abs/2405.01250

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Impact of geometry on chemical analysis exemplified for photoelectron spectroscopy of black silicon

Autor: Neurohr, Jens U., Wittig, Anton, Hähl, Hendrik, Nolle, Friederike, Faidt, Thomas, Grandthyll, Samuel, Jacobs, Karin, Klatt, Michael A., Müller, Frank

For smooth surfaces, chemical composition can be readily analyzed using various spectroscopic techniques, a prominent example is X-ray photoelectron spectroscopy (XPS), where the relative proportions of the elements are mainly determined by the inten

Externí odkaz: http://arxiv.org/abs/2308.10625

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DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms

Autor: Zhang, Junyao, Wang, Hanrui, Ravi, Gokul Subramanian, Chong, Frederic T., Han, Song, Mueller, Frank, Chen, Yiran

This paper proposes DISQ to craft a stable landscape for VQA training and tackle the noise drift challenge. DISQ adopts a "drift detector" with a reference circuit to identify and skip iterations that are severely affected by noise drift errors. Spec

Externí odkaz: http://arxiv.org/abs/2308.06634

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