Results 131 to 140 of about 2,829,604 (309)

Non-Adiabatic Holonomic Quantum Computation

, 2012
We develop a non-adiabatic generalization of holonomic quantum computation in which high-speed universal quantum gates can be realized using non-Abelian geometric phases.
Hessmo, Björn, Tong, Dianmin, Sjöqvist, Erik, Johansson, Markus, Singh, Kuldip, Sjöqvist, Erik,, Andersson, Mauritz, Tong, D. M., Mauritz Andersson, L., Singh, Kuldip,, Johansson, M., Tong, D.M., Hessmo, B., Johansson, Markus,, Tong, Dianmin,, Singh, K., Hessmo, Björn,, Andersson, L. Mauritz,, Sjöqvist, E., Andersson, Mauritz,   +19 more
core   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Realizing ultrahigh capacity quantum superdense coding on quantum photonic chip

Quantum superdense coding provides a compelling solution to enhance the channel capacity compared with classical coding, which plays a vital role in quantum networks.
Karim, Muhammad Faeyz, Song, Q, Song, Qinghua, Zhu, Huihui, Zhou, Xiaoqi, Luo, W, Luo, X, Zhou, X, Karim, MF, Zhu, H, Gao, F, Li, Yuan, Cai, H, Kwek, LC, Wu, Xiang, Liu, Ai Qun, Luo, Xianshu, Li, Y, Liu, AQ, Luo, Wei, Wu, X, Gao, Feng, Cai, Hong, Kwek, Leong Chuan   +23 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Quantum Cellular Automata for Quantum Error Correction and Density Classification

Physical Review Letters
Quantum cellular automata are alternative quantum-computing paradigms to quantum Turing machines and quantum circuits. Their working mechanisms are inherently automated, therefore measurement free, and they act in a translation invariant manner on all cells/qudits of a register, generating a global rule that updates cell states locally, i.e., based ...
Guedes, T. L. M., Winter, D., Müller, M.   +2 more
openaire   +6 more sources

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source

Designing quantum multi-category classifier from the perspective of brain processing information

Machine Learning: Science and Technology
In the field of machine learning, the multi-category classification problem plays a crucial role. Solving the problem has a profound impact on driving the innovation and development of machine learning techniques and addressing complex problems in the ...
Xiaodong Ding, Jinchen Xu, Zhihui Song, Yifan Hou, Zheng Shan   +4 more
doaj   +1 more source

Quantum Classification Outside the Promised Class

Computers
This paper studies the important problem of quantum classification of Boolean functions from an entirely novel perspective. Typically, quantum classification algorithms allow us to classify functions with a probability of 1.0, if we are promised that they meet specific unique properties.
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris   +4 more
openaire   +4 more sources

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source