Results 131 to 140 of about 154,173 (259)

Quantum state tomography using quantum machine learning

Quantum Machine Intelligence
18 pages, 19 ...
Nouhaila Innan, Owais Ishtiaq Siddiqui, Shivang Arora, Tamojit Ghosh, Yasemin Poyraz Koçak, Dominic Paragas, Abdullah Al Omar Galib, Muhammad Al-Zafar Khan, Mohamed Bennai   +8 more
openaire   +2 more sources

Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium

Advanced Science, EarlyView.
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du, Rui Deng, Ya Wu, Hong‐Xia Ren, Zong‐Hong Lin, Yang‐Bao Miao   +5 more
wiley   +1 more source

Design of Single‐Atom Catalysts Anchored in N‐Doped Biphenylene Using Symbolic Regression for Electrocatalytic Nitrate Reduction to Ammonia

Advanced Science, EarlyView.
A high‐throughput in silico calculations for NO3RR based on transition metal doped and nitrogen decorated biphenylene network are performed. A symbolic regression is designed to capture the hidden descriptors of NO3RR for hyper dimensional system entailing large geometric variability.
Zheng Shu, Zhangsheng Shi, Huaxian Jia, Huifang Xu, Zian Xu, Zhongheng Li, Man‐Fai Ng, Teck Leong Tan, Fuqiang Huang, Yongqing Cai   +9 more
wiley   +1 more source

Bacteriophage‐Mimetic DNA Origami Needle for Targeted Membrane Penetration and Cytosolic Cargo Delivery

Advanced Science, EarlyView.
We designed a synthetic DNA origami needle‐like structure inspired by bacteriophages for targeted drug delivery. Functionalized with trastuzumab antibodies, cholesterol, and dyes, it selectively targets SKBR3 cancer cells. A glutathione‐triggered dye payload enables controlled release, and delivery is verified using confocal microscopy and live cell ...
Anirban Samanta, Mette Galsgaard Malle, Emily Tsang, Marjan Omer, Mads K. Skaanning, Sarah Youssef, Jørgen Kjems, Kurt V. Gothelf   +7 more
wiley   +1 more source

Atomistic Understanding of 2D Monatomic Phase‐Change Material for Non‐Volatile Optical Applications

Advanced Science, EarlyView.
Antimony is a promising monatomic phase‐change material. Scaling down the film thickness is necessary to prolong the amorphous‐state lifetime, but it alters the optical properties. The combined computational and experimental study shows that, as thickness decreases, the extinction coefficient and optical contrast are reduced in the near‐infrared ...
Hanyi Zhang, Xueqi Xing, Jiang‐Jing Wang, Chao Nie, Yuxin Du, Junying Zhang, Xueyang Shen, Wen Zhou, Matthias Wuttig, Riccardo Mazzarello, Wei Zhang   +10 more
wiley   +1 more source

Implementation and empirical evaluation of a quantum machine learning pipeline for local classification. [PDF]

PLoS One, 2023
Zardini E, Blanzieri E, Pastorello D.
europepmc   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source

Quantum ensemble learning with a programmable superconducting processor

npj Quantum Information
Quantum machine learning is among the most exciting potential applications of quantum computing. However, the vulnerability of quantum information to environmental noises and the consequent high cost for realizing fault tolerance has impeded the quantum ...
Jiachen Chen, Yaozu Wu, Zhen Yang, Shibo Xu, Xuan Ye, Daili Li, Ke Wang, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Zhengyi Cui, Aosai Zhang, Ning Wang, Yiren Zou, Tingting Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Pengfei Zhang, Wei Zhang, Hekang Li, Qiujiang Guo, Zhen Wang, Ying Li, Xiaoting Wang, Chao Song, H. Wang   +32 more
doaj   +1 more source

Quantum machine learning with differential privacy. [PDF]

Sci Rep, 2023
Watkins WM, Chen SY, Yoo S.
europepmc   +1 more source

Digital‐Analog Quantum Machine Learning

Advanced Intelligent Discovery
Machine learning algorithms are extensively used in an increasing number of systems, applications, technologies, and products, both in industry and in society as a whole. They enable computing devices to learn from previous experience and therefore improve their performance in a certain context or environment.
openaire   +3 more sources