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pro vyhledávání: '"Haug, A"'
We introduce a nonstabilizerness monotone which we name basis-minimised stabilizerness asymmetry (BMSA). It is based on the notion of $G$-asymmetry, a measure of how much a certain state deviates from being symmetric with respect to a symmetry group
Externí odkaz:
http://arxiv.org/abs/2411.05766
Autor:
Haug, Juliane, Wunder, Fabian
Angular integrals arise in a wide range of perturbative quantum field theory calculations. In this work we investigate angular integrals with three denominators in $d=4-2\varepsilon$ dimensions. We derive integration-by-parts relations for this class
Externí odkaz:
http://arxiv.org/abs/2410.18177
Persistent currents flowing in spatially closed tracks define one of the most iconic concepts in mesoscopic physics. They have been studied in solid-state platforms such as superfluids, superconductors and metals. Cold atoms trapped in magneto-optica
Externí odkaz:
http://arxiv.org/abs/2410.17318
Quantum many-body systems provide a unique platform for exploring the rich interplay between chaos, randomness, and complexity. In a recently proposed paradigm known as deep thermalization, random quantum states of system A are generated by performin
Externí odkaz:
http://arxiv.org/abs/2410.05181
Quantum error correction (QEC) is essential for operating quantum computers in the presence of noise. Here, we accurately decode arbitrary Calderbank-Shor-Steane (CSS) codes via the maximum satisfiability (MaxSAT) problem. We show how to map quantum
Externí odkaz:
http://arxiv.org/abs/2410.01673
Quantum annealing and quantum approximate optimization algorithms hold a great potential to speed-up optimization problems. This could be game-changing for a plethora of applications. Yet, in order to hope to beat classical solvers, quantum circuits
Externí odkaz:
http://arxiv.org/abs/2409.12240
Artificial intelligence (AI) permeates all fields of life, which resulted in new challenges in requirements engineering for artificial intelligence (RE4AI), e.g., the difficulty in specifying and validating requirements for AI or considering new qual
Externí odkaz:
http://arxiv.org/abs/2409.07192
Autor:
Cory, Oliver, Sincan, Ozge Mercanoglu, Vowels, Matthew, Battisti, Alessia, Holzknecht, Franz, Tissi, Katja, Sidler-Miserez, Sandra, Haug, Tobias, Ebling, Sarah, Bowden, Richard
Sign Language Assessment (SLA) tools are useful to aid in language learning and are underdeveloped. Previous work has focused on isolated signs or comparison against a single reference video to assess Sign Languages (SL). This paper introduces a nove
Externí odkaz:
http://arxiv.org/abs/2408.10073
Autor:
Zhang, Hengyuan, Paz, David, Guo, Yuliang, Das, Arun, Huang, Xinyu, Haug, Karsten, Christensen, Henrik I., Ren, Liu
Autonomous driving for urban and highway driving applications often requires High Definition (HD) maps to generate a navigation plan. Nevertheless, various challenges arise when generating and maintaining HD maps at scale. While recent online mapping
Externí odkaz:
http://arxiv.org/abs/2408.01471
Pseudorandom states (PRSs) are state ensembles that cannot be distinguished from Haar random states by any efficient quantum algorithm. However, the definition of PRSs has been limited to pure states and lacks robustness against noise. In this work,
Externí odkaz:
http://arxiv.org/abs/2407.11607