Results 101 to 110 of about 3,905,200 (321)

Z‐Scheme Water Splitting Systems Based on Solid‐State Electron Conductors

Advanced Functional Materials, EarlyView.
This review examines the latest advances in Z‐scheme overall water splitting (OWS) systems for solar hydrogen production. These systems consist of suspended or immobilized hydrogen evolution photocatalysts (HEPs) and oxygen evolution photocatalysts (OEPs).
Chen Gu, Takashi Hisatomi, Tsuyoshi Takata, Kazunari Domen   +3 more
wiley   +1 more source

Quantum phase classification via partial tomography-based quantum hypothesis testing

Scientific Reports
Quantum phase classification is a fundamental problem in quantum many-body physics, traditionally approached using order parameters or quantum machine learning techniques such as quantum convolutional neural networks (QCNNs). However, these methods often
Akira Tanji, Hiroshi Yano, Naoki Yamamoto   +2 more
doaj   +1 more source

Third order superintegrable systems separating in polar coordinates

, 2010
A complete classification is presented of quantum and classical superintegrable systems in $E_2$ that allow the separation of variables in polar coordinates and admit an additional integral of motion of order three in the momentum.
Cosgrove C M, Drach J, Frédérick Tremblay, Hietarinta J, Kalnins E G, Kalnins E G, Kalnins E G, Kalnins E G Miller W Pogosyan G S, Marquette I, Marquette I, Marquette I, Mitrinović D S, Pavel Winternitz, Quesne C, Tremblay F, Tremblay F, Tsiganov A V, Winternitz P, Winternitz P, Wojciechowski S   +19 more
core   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

Quantum ensembles of quantum classifiers

, 2017
Quantum machine learning witnesses an increasing amount of quantum algorithms for data-driven decision making, a problem with potential applications ranging from automated image recognition to medical diagnosis.
Petruccione, Francesco, Schuld, Maria
core   +2 more sources

Quantum KNN Classification With K Value Selection and Neighbor Selection

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
The K-nearest neighbors (KNNs) algorithm is one of Top-10 data mining algorithms and is widely used in various fields of artificial intelligence. This leads to that quantum KNN (QKNN) algorithms have developed and achieved certain speed improvements ...
Jiaye Li, Jian Zhang, Jilian Zhang, Shichao Zhang   +3 more
semanticscholar   +1 more source

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

Near‐Infrared Emitting Lanthanide Catecholate Giant Single Crystals – Morphology Control and Photon Down‐Conversion

Advanced Functional Materials, EarlyView.
Controlled syntheses of lanthanide coordination polymers based on the dihydroxybenzoquinone (DHBQ) organic linker afforded large single crystals of Ln‐DHBQ CPs (Ln = Yb, Nd). A novel structural variant of Yb‐DHBQ is identified by means of single crystal diffraction analysis.
Marina I. Schönherr, Alexander Biewald, Andre Mähringer, Thaddäus J. Koller, Peter Mayer, Markus Döblinger, Achim Hartschuh, Dana D. Medina   +7 more
wiley   +1 more source

Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification

Software
In this work, we studied the use of Quantum Machine Learning (QML) algorithms for binary classification and compared their performance with classical Machine Learning (ML) methods. QML merges principles of Quantum Computing (QC) and ML, offering improved
Surajudeen Shina Ajibosin, Deniz Cetinkaya   +1 more
doaj   +1 more source

Geometric classification of topological quantum phases [PDF]

Physics Letters A, 1998
10 pages ...
openaire   +2 more sources