Results 91 to 100 of about 21,815 (240)

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

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

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

The Possibility of New Complex Magnet Materials

Advanced Materials, EarlyView.
The quest for stronger magnets enters a new era. With the developments of AI‐driven materials discovery, computational prediction of magnetic properties, and autonomous laboratories, researchers can now explore millions of untested structures. Discovery of next‐generation ultra‐powerful magnets – critical for electric vehicles, renewable energy, and ...
G. Jeffrey Snyder
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Toward structure-preserving quantum encodings

Physical Review Research
Harnessing the potential computational advantage of quantum computers for machine learning tasks relies on the uploading of classical data onto quantum computers through what are commonly referred to as quantum encodings. The choice of such encodings may
Arthur J. Parzygnat, Tai-Danae Bradley, Andrew Vlasic, Anh Pham   +3 more
doaj   +1 more source

Advances in quantum machine learning

, 2015
Here we discuss advances in the field of quantum machine learning. The following document offers a hybrid discussion; both reviewing the field as it is currently, and suggesting directions for further research. We include both algorithms and experimental implementations in the discussion.
Adcock, Jeremy, Allen, Euan, Day, Matt, Frick, Stefan, Hinchliff, Janna J, Johnson, Mack, Morley-Short, Sam, Pallister, Sam, Price, Alasdair, Stanisic, Stasja   +9 more
openaire   +3 more sources

Orientation Engineering of MXene Flakes

Advanced Materials, EarlyView.
Orientation engineering of MXene flakes refers to the transformation of disordered MXene flakes into ordered architectures with optimized multiphysical transport properties. Focusing on this topic, this review outlines key principles, characterization, fabrication strategies, and advanced applications of oriented MXene structures.
Yizhou Wang, Shuo Li, Tianchao Guo, Dekang Zhu, Ning Chu, Noor Albar, Dana Alsulaiman, Husam N. Alshareef   +7 more
wiley   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source