Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Posted by klaurent Cornell

Kavli Affiliate: Farhan Rana | First 5 Authors: Joongwon Lee, Zexuan Zhang, Huili Xing, Debdeep Jena, Farhan Rana | Summary: MnN is a centrosymmetric collinear antiferromagnet belonging to the transition metal nitride family with a high Neel temperature, a low anisotropy field, and a large magnetic moment per Mn atom. Despite several recent experimental and […]


Continue.. Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Posted by klaurent Cornell

Kavli Affiliate: Farhan Rana | First 5 Authors: Joongwon Lee, Zexuan Zhang, Huili Xing, Debdeep Jena, Farhan Rana | Summary: MnN is a centrosymmetric collinear antiferromagnet belonging to the transition metal nitride family with a high Neel temperature, a low anisotropy field, and a large magnetic moment per Mn atom. Despite several recent experimental and […]


Continue.. Antiferromagnetic Spin Orientation and Magnetic Domain Structure in Epitaxially Grown MnN Studied using Optical Second Harmonic Generation

Quantifying quantum computational complexity via information scrambling

Posted by klaurent Delft

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. One outstanding challenge to such characterization is the mathematical complexity that their evaluation possesses. A method to quantify quantum computational […]


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Quantifying non-stabilizerness efficiently via information scrambling

Posted by klaurent Delft

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 efficiently via information scrambling

Posted by klaurent Delft

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

Posted by dbos Delft

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

Posted by dbos Delft

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

Posted by klaurent Berkeley

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

Posted by dbos Delft

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

Posted by klaurent Berkeley

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 […]


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