Results 81 to 90 of about 296,091 (283)
Classification with Quantum Machine Learning: A Survey
CoRR, 2020 Due to the superiority and noteworthy progress of Quantum Computing (QC) in a lot of applications such as cryptography, chemistry, Big data, machine learning, optimization, Internet of Things (IoT), Blockchain, communication, and many more. Fully towards to combine classical machine learning (ML) with Quantum Information Processing (QIP) to build a new
Zainab Abohashima +3 more
openaire +2 more sources
On the classification of quantum W-algebras [PDF]
Nuclear Physics B, 1992 28 ...
Bowcock, P., Watts, G
openaire +2 more sources
Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties
Advanced Functional Materials, EarlyView.Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon +7 more
wiley +1 more source
De Finetti theorems for a Boolean analogue of easy quantum groups [PDF]
, 2016 We show an organized form of quantum de Finetti theorem for Boolean independence. We define a Boolean analogue of easy quantum groups for the categories of interval partitions, which is a family of sequences of quantum semigroups. We construct the Haar
Hayase, Tomohiro
core +2 more sources
Peptide binding classification on quantum computers
Quantum Machine IntelligenceWe conduct an extensive study on using near-term quantum computers for a task in the domain of computational biology. By constructing quantum models based on parameterised quantum circuits we perform sequence classification on a task relevant to the design of therapeutic proteins, and find competitive performance with classical baselines of similar ...
Charles London +7 more
openaire +2 more sources
Dynamical classification of topological quantum phases [PDF]
Science Bulletin, 2018 14+pages, 8 figures.
Zhang, Lin +3 more
openaire +3 more sources
Atomic‐Scale Light Coupling Control in Ultrathin Photonic Membranes
Advanced Functional Materials, EarlyView.Ultrathin photonic nanomembranes provide atomic‐scale control over the coupling between incident light and high‐Q photonic modes, enabling angstrom‐level resonance tuning and strong field confinement. When integrated with TMD monolayers, they further yield enhanced light–matter interactions, offering a versatile platform for advancing quantum photonics,
Chih‐Zong Deng +8 more
wiley +1 more source
Magnetic Force Microscopy Signatures of Higher‐Order Skyrmions and Antiskyrmions
Advanced Functional Materials, EarlyView.Magnetic force microscopy operated under vacuum conditions enables the qualitative identification of higher‐order skyrmions and antiskyrmions in Co/Ni multilayers at room temperature. Distinct stray‐field contrast signatures arise from vertical Bloch lines and complex domain‐wall configurations.
Sabri Koraltan +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
SoftwareIn 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 +1 more
doaj +1 more source