Long-range, Non-local Switching of Spin Textures in a Frustrated Antiferromagnet

Kavli Affiliate: Joel Moore | First 5 Authors: Shannon C. Haley, Eran Maniv, Tessa Cookmeyer, Susana Torres-Londono, Meera Aravinth | Summary: Antiferromagnetic spintronics is an emerging area of quantum technologies that leverage the coupling between spin and orbital degrees of freedom in exotic materials. Spin-orbit interactions allow spin or angular momentum to be injected via […]


Continue.. Long-range, Non-local Switching of Spin Textures in a Frustrated Antiferromagnet

Long-range, Non-local Switching of Spin Textures in a Frustrated Antiferromagnet

Kavli Affiliate: Joel Moore | First 5 Authors: Shannon C. Haley, Eran Maniv, Tessa Cookmeyer, Susana Torres-Londono, Meera Aravinth | Summary: Antiferromagnetic spintronics is an emerging area of quantum technologies that leverage the coupling between spin and orbital degrees of freedom in exotic materials. Spin-orbit interactions allow spin or angular momentum to be injected via […]


Continue.. Long-range, Non-local Switching of Spin Textures in a Frustrated Antiferromagnet

NetQASM — A low-level instruction set architecture for hybrid quantum-classical programs in a quantum internet

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Axel Dahlberg, Bart van der Vecht, Carlo Delle Donne, Matthew Skrzypczyk, Ingmar te Raa | Summary: We introduce NetQASM, a low-level instruction set architecture for quantum internet applications. NetQASM is a universal, platform-independent and extendable instruction set with support for local quantum gates, powerful classical logic and […]


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Gate-tunable artificial nucleus in graphene

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Mykola Telychko, Keian Noori, Hillol Biswas, Dikshant Dulal, Pin Lyu | Summary: We report an atomically-precise integration of individual nitrogen (N) dopant as an in-plane artificial nucleus in a graphene device by atomic implantation to probe its gate-tunable quantum states and correlation effects. The N dopant […]


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Performance of a phonon-mediated detector using KIDs optimized for sub-GeV dark matter

Kavli Affiliate: Sunil Golwala | First 5 Authors: Osmond Wen, Taylor Aralis, Ritoban Basu Thakur, Bruce Bumble, Yen-Yung Chang | Summary: Detection of sub-GeV dark matter candidates requires sub-keV detector thresholds on deposited energy. We provide an update on a gram-scale phonon-mediated KID-based device that was designed for a dark matter search in this mass […]


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Peptide Isomerization is Suppressed at the Air-Water Interface

Kavli Affiliate: David T. Limmer | First 5 Authors: Aditya N. Singh, David T. Limmer, , , | Summary: We use molecular dynamics simulations to study the thermodynamics and kinetics of alanine dipeptide isomerization at the air-water interface. Thermodynamically, we find an affinity of the dipeptide to the interface. This affinity arises from stablizing intramolecular […]


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Dynamics of photosynthetic light harvesting systems interacting with N-photon Fock states

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Liwen Ko, Robert L. Cook, K. Birgitta Whaley, , | Summary: We develop a method to simulate the excitonic dynamics of realistic photosynthetic light harvesting systems including non-Markovian coupling to phonon degrees of freedom, under excitation by N-photon Fock state pulses. This method combines the input-output […]


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Uncovering Material Deformations via Machine Learning Combined with Four-Dimensional Scanning Transmission Electron Microscopy

Kavli Affiliate: David A. Muller | First 5 Authors: Chuqiao Shi, Michael C. Cao, Sarah M. Rehn, Sang-Hoon Bae, Jeehwan Kim | Summary: Understanding lattice deformations is crucial in determining the properties of nanomaterials, which can become more prominent in future applications ranging from energy harvesting to electronic devices. However, it remains challenging to reveal […]


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Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

Kavli Affiliate: Feng Wang | First 5 Authors: Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma | Summary: Influenced by the great success of deep learning via cloud computing and the rapid development of edge chips, research in artificial intelligence (AI) has shifted to both of the computing paradigms, i.e., cloud computing and […]


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How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning

Kavli Affiliate: Chiara Daraio | First 5 Authors: Zhi Chen, Alexander Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin | Summary: Metamaterials are composite materials with engineered geometrical micro- and meso-structures that can lead to uncommon physical properties, like negative Poisson’s ratio or ultra-low shear resistance. Periodic metamaterials are composed of repeating unit-cells, and geometrical […]


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