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 […]


Continue.. Efficiently improving the performance of noisy quantum computers

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), […]


Continue.. Stability of Oxygenated Groups on Pristine and Defective Diamond Surfaces

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 […]


Continue.. Scalable High-Performance Fluxonium Quantum Processor

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, […]


Continue.. A Robust Hot Subdwarfs Identification Method Based on Deep Learning

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" […]


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

Nature of novel moiré exciton states in WSe$_2$/WS$_2$ heterobilayers

Kavli Affiliate: Feng Wang | First 5 Authors: Mit H. Naik, Emma C. Regan, Zuocheng Zhang, Yang-hao Chan, Zhenglu Li | Summary: Moir’e patterns of transition metal dichalcogenide (TMD) heterobilayers have proven to be an ideal platform to host unusual correlated electronic phases, emerging magnetism, and correlated exciton physics. While the existence of novel moir’e […]


Continue.. Nature of novel moiré exciton states in WSe$_2$/WS$_2$ heterobilayers

An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework

Kavli Affiliate: Feng Wang | First 5 Authors: Ying Mei, Shoulin Wei, Feng Wang, Chen Wu, Rodrigo Tobar | Summary: The Square Kilometre Array (SKA) project is an international cooperation project to build the largest radio telescope worldwide. Data processing is one of the biggest challenges of building the SKA telescope. As a distributed execution […]


Continue.. An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework

TECM: Transfer Evidential C-means Clustering

Kavli Affiliate: Feng Wang | First 5 Authors: Lianmeng Jiao, Feng Wang, Zhun-ga Liu, Quan Pan, | Summary: Clustering is widely used in text analysis, natural language processing, image segmentation, and other data mining fields. As a promising clustering algorithm, the evidential c-means (ECM) can provide a deeper insight on the data by allowing an […]


Continue.. TECM: Transfer Evidential C-means Clustering

TECM: Transfer Learning-based Evidential C-Means Clustering

Kavli Affiliate: Feng Wang | First 5 Authors: Lianmeng Jiao, Feng Wang, Zhun-ga Liu, Quan Pan, | Summary: As a representative evidential clustering algorithm, evidential c-means (ECM) provides a deeper insight into the data by allowing an object to belong not only to a single class, but also to any subset of a collection of […]


Continue.. TECM: Transfer Learning-based Evidential C-Means Clustering

Anomalous Josephson Effect in Topological Insulator-Based Josephson Trijunction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zhaozheng Lyu, Guang Yang, Bing Li, Yan-Liang Hou | Summary: We studied anomalous Josephson effect (AJE) in Josephson trijunctions fabricated on Bi$_2$Se$_3$, and found that the AJE in T-shaped trijunctions significantly alters the Majorana phase diagram of the trijunctions, when an in-plane magnetic field is […]


Continue.. Anomalous Josephson Effect in Topological Insulator-Based Josephson Trijunction