Results 101 to 110 of about 2,829,604 (309)

A hybrid quantum-classical classification model based on branching multi-scale entanglement renormalization ansatz

Scientific Reports
Tensor networks are emerging architectures for implementing quantum classification models. The branching multi-scale entanglement renormalization ansatz (BMERA) is a tensor network known for its enhanced entanglement properties.
Yan-Yan Hou, Jian Li, Tao Xu, Xin-Yu Liu
doaj   +1 more source

From Cell‐Derived Vesicles to Hybrid Nanovectors: Biological Membranes as Functional Blueprints for Gene Delivery

Advanced Healthcare Materials, EarlyView.
Biologically derived and hybrid nonviral nanovectors are examined as distinct but convergent design approaches. Integrating synthetic components with biologically functionalized membranes allows efficient interactions with complex cellular environments.
Clara Baldari, Claudia Leone, Gabriella Leccese, Claudia De Stradis, Alessandra Invidia, Concetta Quintarelli, Biagio De Angelis, Franco Locatelli, Giuseppe Gigli, Gabriele Maiorano, Ilaria Elena Palamà   +10 more
wiley   +1 more source

Quantum-enhanced data classification with a variational entangled sensor network

, 2020
Variational quantum circuits (VQCs) built upon noisy intermediate-scale quantum (NISQ) hardware, in conjunction with classical processing, constitute a promising architecture for quantum simulations, classical optimization, and machine learning. However,
Wei Li (7081), Quntao Zhuang (13019790), Zheshen Zhang (11470132), Yi Xia (294184)   +3 more
core   +1 more source

Optical Detection of Cellular Signals at Material Interfaces

Advanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren, Jitong Ren, Zixin Zhang, Koney Eungkon Kim, Francis L. Hong, Yuecheng Peter Zhou   +5 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Quantum stochastic convolution cocycles III [PDF]

, 2011
The theory of quantum Levy processes on a compact quantum group, and more generally quantum stochastic convolution cocycles on a C*-bialgebra, is extended to locally compact quantum groups and multiplier C*-bialgebras.
Skalski, Adam G., J. Martin Lindsay, Lindsay, J. Martin, Adam G. Skalski   +3 more
core   +2 more sources

Communicating quantum processes [PDF]

, 2005
We define a language CQP (Communicating Quantum Processes) for modelling systems which combine quantum and classical communication and computation.
Simon J. Gay, Rajagopal Nagarajan, Nagarajan, Rajagopal, Nagarajan, R., Gay, S. J., Gay, S.J.   +5 more
core   +1 more source

Quantum state preparation using tensor networks

, 2023
Funding Information: The work of Ar A M, A A T, F N, and M R P was supported by Terra Quantum A G. The work of S V D was financially supported by Terra Quantum A G through the consultancy agreement. Publisher Copyright: © 2023 The Author(s). Published by
Termanova, A. A., F Neukart, Melnikov, Ar A., Ar A Melnikov, A A Termanova, S V Dolgov, M R Perelshtein, Neukart, F., Dolgov, S. V., Perelshtein, M. R.   +9 more
core   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Quantum machine learning for image classification

Machine Learning: Science and Technology
Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these challenges by introducing two quantum machine learning models that leverage the ...
Arsenii Senokosov, Alexandr Sedykh, Asel Sagingalieva, Basil Kyriacou, Alexey Melnikov   +4 more
doaj   +1 more source