Results 71 to 80 of about 3,905,200 (321)
Supervised learning with quantum enhanced feature spaces
, 2018 Machine learning and quantum computing are two technologies each with the potential for altering how computation is performed to address previously untenable problems.
Chow, Jerry M. +6 more
core +1 more source
Symmetry enriched U(1) quantum spin liquids [PDF]
, 2018 We classify and characterize three dimensional $U(1)$ quantum spin liquids (deconfined $U(1)$ gauge theories) with global symmetries. These spin liquids have an emergent gapless photon and emergent electric/magnetic excitations (which we assume are ...
Senthil, T., Wang, Chong, Zou, Liujun
core +2 more sources
Two End-to-End Quantum-Inspired Deep Neural Networks for Text Classification
IEEE Transactions on Knowledge and Data Engineering, 2023 In linguistics, the uncertainty of context due to polysemy is widespread, which attracts much attention. Quantum-inspired complex word embedding based on Hilbert space plays an important role in natural language processing (NLP), which fully leverages ...
Jinjing Shi +6 more
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.A lack of standard approaches for testing and reporting the performance of metal halide perovskites and organic semiconductor radiation detectors has resulted in inconsistent interpretation of performance parameters, impeding progress in the field. This Perspective recommends key metrics and experimental details, which are suggested for reporting in ...
Jessie A. Posar +8 more
wiley +1 more source
Quantum Computing Meets Deep Learning: A Promising Approach for Diabetic Retinopathy Classification
Mathematics, 2023 Diabetic retinopathy seems to be the cause of micro-vascular retinal alterations. It remains a leading reason for blindness and vision loss in adults around the age of 20 to 74.
Shtwai Alsubai +5 more
doaj +1 more source
Cuntz semigroups of compact-type Hopf C*-algebras
, 2017 The classical Cuntz semigroup has an important role in the study of C*-algebras, being one of the main invariants used to classify recalcitrant C*-algebras up to isomorphism.
Kucerovsky, Dan
core +2 more sources
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Advanced Functional Materials, EarlyView.Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Universal adversarial perturbations for multiple classification tasks with quantum classifiers
Machine Learning: Science and Technology, 2023 Quantum adversarial machine learning is an emerging field that studies the vulnerability of quantum learning systems against adversarial perturbations and develops possible defense strategies.
Yun-Zhong Qiu
doaj +1 more source
Classification of Quantum Groups via Galois Cohomology [PDF]
Communications in Mathematical Physics, 2019 The first example of a quantum group was introduced by P.~Kulish and N.~Reshetikhin. In their paper "Quantum linear problem for the sine-Gordon equation and higher representations" published in Zap. Nauchn. Sem. LOMI, 1981, Volume 101 (English version: Journal of Soviet Mathematics, 1983, 23:4), they found a new algebra which was later called $U_q (sl ...
Eugene Karolinsky +2 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner +9 more
wiley +1 more source