Results 101 to 110 of about 296,091 (283)
Graph C*-algebras and Z/2Z-quotients of quantum spheres
We consider two Z/2Z-actions on the Podles generic quantum spheres. They yield, as noncommutative quotient spaces, the Klimek-Lesniewski q-disc and the quantum real projective space, respectively. The C*-algebras of all these quantum spaces are described
Brzeziński +16 more
core +1 more source
Nanodiamond Quantum Sensors for Probing Free Radical Biology
Free radicals play key roles in cellular signaling and disease but remain difficult to measure in living systems. Nanodiamonds (NDs) with nitrogen‐vacancy (NV) centers enable quantum sensing of local magnetic noise via T₁ relaxometry, providing nondestructive radical detection in living cells.
Qi Lu, Yingke Wu, Tanja Weil
wiley +1 more source
Multiplex Modular Nanorobotic Systems with Catalytic Activity under Magnetic Navigation
We present modular nanorobots composed of a magnetic propulsion module and different extension modules carrying functional activities, assembled via DNA base pairing. The system integrates propulsion, optical tracking, enzymatic catalysis, and cell docking in a programmable manner.
Voichita Mihali +7 more
wiley +1 more source
An intrinsic photoactive star‐shaped zinc phtalocyanine‐poly(L‐glutamic acid) (ZnPc‐PGA) nanoplatform for multimodal glioblastoma (GBM) therapy and brain‐targeted elivery. A ZnPc‐PGA‐based multifunctional theranostic nanocarrier platform enables image‐guided, multimodal GBM therapy. ZnPc‐PGA nanocarriers support the integration of fluorescence imaging,
Amina Benaicha‐Fernández +14 more
wiley +1 more source
Quantum Computing Meets Deep Learning: A QCNN Model for Accurate and Efficient Image Classification
In deep learning, Convolutional Neural Networks (CNNs) serve as fundamental models, leveraging the correlational structure of data for tasks such as image classification and processing.
Sunil Prajapat +4 more
doaj +1 more source
A hybrid QSVM-QNN approach for breast cancer diagnosis using quantum feature maps [PDF]
Quantum assisted machine learning (QML) have the potential to outperform the classical Machine Learning models by utilizing the quantum feature maps embeddings and variational circuits.
Vikesh Yadav +2 more
doaj +2 more sources
Basic quantum circuits for classification and approximation tasks
We discuss a quantum circuit construction designed for classification. The circuit is built of regularly placed elementary quantum gates, which implies the simplicity of the presented solution. The realization of the classification task is possible after
Wiśniewska Joanna +2 more
doaj +1 more source
Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets. [PDF]
John M +4 more
europepmc +1 more source
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source

