Flexible utilization of spatial- and motor-based codes for the storage of visuo-spatial information

Kavli Affiliate: John Serences | Authors: Margaret M. Henderson, Rosanne L. Rademaker and John T. Serences | Summary: Working memory provides flexible storage of information in service of upcoming behavioral goals. Some models propose specific fixed loci and mechanisms for the storage of visual information in working memory, such as sustained spiking in parietal and […]


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Projective LDDMM: Mapping Molecular Digital Pathology with Tissue MRI

Kavli Affiliate: Michael Miller, Menno Witter | Authors: Kaitlin Stouffer, Menno Witter, Daniel Tward and Michael Miller | Summary: Reconstructing dense 3D anatomical coordinates from 2D projective measurements has become a central problem in both mouse and human digital pathology. We describe a new family of diffeomorphic mapping technologies called Projective LDDMM which generate diffeomorphic […]


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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

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


Continue.. Quantifying quantum computational complexity via information scrambling