Quantifying non-stabilizerness efficiently via information scrambling

Kavli Affiliate: Eliska Greplova | First 5 Authors: Arash Ahmadi, Eliska Greplova, , , | Summary: The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum resources is to use a class of functions called magic monotones, which are, however, notoriously […]


Continue.. Quantifying non-stabilizerness efficiently via information scrambling

Quantifying non-stabilizerness via information scrambling

Kavli Affiliate: Eliska Greplova | First 5 Authors: Arash Ahmadi, Eliska Greplova, , , | Summary: The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum resources is to use a class of functions called magic monotones and stabilizer entropies, which […]


Continue.. Quantifying non-stabilizerness via information scrambling

Quantifying non-stabilizerness via information scrambling

Kavli Affiliate: Eliska Greplova | First 5 Authors: Arash Ahmadi, Eliska Greplova, , , | Summary: The advent of quantum technologies brought forward much attention to the theoretical characterization of the computational resources they provide. A method to quantify quantum resources is to use a class of functions called magic monotones and stabilizer entropies, which […]


Continue.. Quantifying non-stabilizerness via information scrambling

DFAM-DETR: Deformable feature based attention mechanism DETR on slender object detection

Kavli Affiliate: Feng Wang | First 5 Authors: Wen Feng, Wang Mei, Hu Xiaojie, , | Summary: Object detection is one of the most significant aspects of computer vision, and it has achieved substantial results in a variety of domains. It is worth noting that there are few studies focusing on slender object detection. CNNs […]


Continue.. DFAM-DETR: Deformable feature based attention mechanism DETR on slender object detection

Controlling magnetism with light in a zero orbital angular momentum antiferromagnet

Kavli Affiliate: Andrea D. Caviglia | First 5 Authors: Mattias Matthiesen, Jorrit R. Hortensius, Samuel Mañas-Valero, Makars Šiškins, Boris A. Ivanov | Summary: Antiferromagnetic materials feature intrinsic ultrafast spin dynamics, making them ideal candidates for future magnonic devices operating at THz frequencies. A major focus of current research is the investigation of optical methods for […]


Continue.. Controlling magnetism with light in a zero orbital angular momentum antiferromagnet

Symmetry-Breaking and Self-Sorting in Block Copolymer-based Multicomponent Nanocomposites

Kavli Affiliate: Ting Xu | First 5 Authors: Le Ma, Hejin Huang, Peter Ercius, Alfredo Alexander-Katz, Ting Xu | Summary: Co-assembly of inorganic nanoparticles (NPs) and nanostructured polymer matrix represents an intricate interplay of enthalpic or entropic forces. Particle size largely affects the phase behavior of the nanocomposite. Theoretical studies indicate that new morphologies would […]


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Steering self-organisation through confinement

Kavli Affiliate: Gijsje H. Koenderink | First 5 Authors: Nuno A. M. Araújo, Liesbeth M. C. Janssen, Thomas Barois, Guido Boffetta, Itai Cohen | Summary: Self-organisation is the spontaneous emergence of spatio-temporal structures and patterns from the interaction of smaller individual units. Examples are found across many scales in very different systems and scientific disciplines, […]


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Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Long Lan, Xiao Teng, Haoang Chi, Xiang Zhang, | Summary: Unsupervised person re-identification is a challenging and promising task in the computer vision. Nowadays unsupervised person re-identification methods have achieved great improvements by training with pseudo labels. However, the appearance and label noise are less explicitly studied […]


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Learning to Purification for Unsupervised Person Re-identification

Kavli Affiliate: Xiang Zhang | First 5 Authors: Long Lan, Xiao Teng, Jing Zhang, Xiang Zhang, Dacheng Tao | Summary: Unsupervised person re-identification is a challenging and promising task in computer vision. Nowadays unsupervised person re-identification methods have achieved great progress by training with pseudo labels. However, how to purify feature and label noise is […]


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Normalization procedure for obtaining the local density of states from high-bias scanning tunneling spectroscopy

Kavli Affiliate: Sander Otte | First 5 Authors: Rasa Rejali, Laëtitia Farinacci, Sander Otte, , | Summary: Differential conductance spectroscopy performed in the high bias regime — in which the applied voltage exceeds the sample work function — is a poor measure of the local density of states due to the effects of the changing […]


Continue.. Normalization procedure for obtaining the local density of states from high-bias scanning tunneling spectroscopy