Topological Graph-based Analysis of Solid-State Ion Migration

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Jimmy-Xuan Shen, Haoming Howard Li, Ann Rutt, Matthew K. Horton, Kristin A. Persson | Summary: To accelerate the development of novel ion-conducting materials, we present a general graph-theoretic analysis framework for ion migration in any crystalline structure. The nodes of the graph represent metastable sites of […]


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AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models

Kavli Affiliate: Xiang Zhang | First 5 Authors: Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang | Summary: Knowledge distillation (KD) methods compress large models into smaller students with manually-designed student architectures given pre-specified computational cost. This requires several trials to find a viable student, and further repeating the process for each student […]


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High throughput data-driven design of laser crystallized 2D MoS2 chemical sensors

Kavli Affiliate: Xiang Zhang | First 5 Authors: Drake Austin, Paige Miesle, Deanna Sessions, Michael Motala, David Moore | Summary: High throughput characterization and processing techniques are becoming increasingly necessary to navigate multivariable, data-driven design challenges for sensors and electronic devices. For two-dimensional materials, device performance is highly dependent upon a vast array of material […]


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Broadband Squeezed Microwaves and Amplification with a Josephson Traveling-Wave Parametric Amplifier

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jack Y. Qiu, Arne Grimsmo, Kaidong Peng, Bharath Kannan, Benjamin Lienhard | Summary: Squeezing of the electromagnetic vacuum is an essential metrological technique that is used to reduce quantum noise in applications spanning gravitational wave detection, biological microscopy, and quantum information science. In circuit quantum electrodynamics, squeezed […]


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Efficiently improving the performance of noisy quantum computers

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Samuele Ferracin, Akel Hashim, Jean-Loup Ville, Ravi Naik, Arnaud Carignan-Dugas | Summary: Using near-term quantum computers to achieve a quantum advantage requires efficient strategies to improve the performance of the noisy quantum devices presently available. We develop and experimentally validate two efficient error mitigation protocols named "Noiseless […]


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Efficiently improving the performance of noisy quantum computers

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Samuele Ferracin, Akel Hashim, Jean-Loup Ville, Ravi Naik, Arnaud Carignan-Dugas | Summary: Using near-term quantum computers to achieve a quantum advantage requires efficient strategies to improve the performance of the noisy quantum devices presently available. We develop and experimentally validate two efficient error mitigation protocols named "Noiseless […]


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Stability of Oxygenated Groups on Pristine and Defective Diamond Surfaces

Kavli Affiliate: Xiang Zhang | First 5 Authors: Eliezer Oliveira, Chenxi Li, Xiang Zhang, Anand Puthirath, Mahesh R. Neupane | Summary: The surface functionalization of diamond has been extensively studied through a variety of techniques, such as oxidation. Several oxygen groups have been correspondingly detected on the oxidized diamond, such as COC (ester), CO (ketonic), […]


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Scalable High-Performance Fluxonium Quantum Processor

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Long B. Nguyen, Gerwin Koolstra, Yosep Kim, Alexis Morvan, Trevor Chistolini | Summary: The technological development of hardware heading toward universal fault-tolerant quantum computation requires a large-scale processing unit with high performance. While fluxonium qubits are promising with high coherence and large anharmonicity, their scalability has not […]


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A Robust Hot Subdwarfs Identification Method Based on Deep Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Lei Tan, Ying Mei, Zhicun Liu, Yangping Luo, Hui Deng | Summary: Hot subdwarf star is a particular type of star that is crucial for studying binary evolution and atmospheric diffusion processes. In recent years, identifying Hot subdwarfs by machine learning methods has become a hot topic, […]


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High-throughput determination of Hubbard U and Hund J values for transition metal oxides via linear response formalism

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Guy C. Moore, Matthew K. Horton, Alexander M. Ganose, Martin Siron, Kristin A. Persson | Summary: Hubbard U and Hund J values provide a measure of the self-interaction between correlated electrons, and are crucial parameters in the formalism of density functional theory with a "plus U" […]


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