Results 101 to 110 of about 137,793 (228)

Multifunctional Bio‐Based Packaging for Perishable Foods: Structural Design, Scalable Fabrication, and Versatile Applications

Advanced Materials, EarlyView.
An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang, Jiaqi Zhang, Mei Cui, Wei Qi, Renliang Huang, Rongxin Su, Kai Zhang   +6 more
wiley   +1 more source

PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection

Applied Artificial Intelligence
The rapid spread of fake news on social media poses a significant threat to modern societies. Traditional machine learning approaches have limitations in handling the ever-increasing volume and complexity of data.
Mehdi Khalil, Chi Zhang, Zhiwei Ye, Peng Zhang   +3 more
doaj   +1 more source

PennyLane: Automatic differentiation of hybrid quantum-classical computations

, 2020
PennyLane is a Python 3 software framework for optimization and machine learning of quantum and hybrid quantum-classical computations. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and ...
Ahmed, Shahnawaz, Alam, M. Sohaib, Arrazola, Juan Miguel, Bergholm, Ville, Blank, Carsten, Delgado, Alain, Gogolin, Christian, Izaac, Josh, Jahangiri, Soran, Killoran, Nathan, McKiernan, Keri, Meyer, Johannes Jakob, Niu, Zeyue, Schuld, Maria, Száva, Antal   +14 more
core  

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

VQE-generated quantum circuit dataset for machine learning

Physical Review Research
Quantum machine learning has the potential to computationally outperform classical machine learning, but it is not yet clear whether it will actually be valuable for practical problems.
Akimoto Nakayama, Kosuke Mitarai, Leonardo Placidi, Takanori Sugimoto, Keisuke Fujii   +4 more
doaj   +1 more source

Investigating the potential of Quantum Inspired Machine Learning approaches for mental health detection of young adults

ITEGAM-JETIA
Medical Health Informatics has envisaged quantum computing as flurry of promising solutions to deal with mental health related issues of young adults in recent times.
Mrutyunjaya Panda, Saumya Ranjan Mahanta
doaj   +1 more source

Quantum machine learning [PDF]

National Science Review, 2018
Allcock, Jonathan, Zhang, Shengyu
openaire   +2 more sources

Turning Unpredictable Biomolecule Adsorption to Controlled Corona Formation: Focus on Carbon Nanomaterials

Advanced Materials, EarlyView.
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou, Yalei Hu, Jie Yu, Naoki Komatsu, Yuta Nishina, Alberto Bianco   +5 more
wiley   +1 more source

Machine learning by unitary tensor network of hierarchical tree structure

New Journal of Physics, 2019
The resemblance between the methods used in quantum-many body physics and in machine learning has drawn considerable attention. In particular, tensor networks (TNs) and deep learning architectures bear striking similarities to the extent that TNs can be ...
Ding Liu, Shi-Ju Ran, Peter Wittek, Cheng Peng, Raul Blázquez García, Gang Su, Maciej Lewenstein   +6 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source