Results 91 to 100 of about 259,803 (278)
On the expressivity of embedding quantum kernels
Machine Learning: Science and TechnologyOne of the most natural connections between quantum and classical machine learning has been established in the context of kernel methods. Kernel methods rely on kernels, which are inner products of feature vectors living in large feature spaces.
Elies Gil-Fuster +2 more
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Quantum Computing for Finance: State-of-the-Art and Future Prospects
IEEE Transactions on Quantum Engineering, 2020 This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in finance that are ...
Daniel J. Egger +8 more
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Advanced Functional Materials, EarlyView.This work reports the first gram‐scale solvothermal synthesis of ‘Rubik's cube’ nanoparticles—cubic, dendritic multicore structures with tuneable sizes and exceptional magnetic heating performance. Featuring iron oxide single‐domain character, with low coercivity fields, high magnetization, and strong MPI signals, they enable viscosity‐independent ...
Giusy M. R. Rizzo +12 more
wiley +1 more source
Chiral SURMOFs for Vibrational Circular Dichroism: Multiscale Modeling and Experimental Insights
Advanced Functional Materials, EarlyView.The use of solid‐state vibrational circular dichroism (VCD) for MOFs is still somewhat unexplored, and in this work, it is shown that chiral surface‐anchored MOFs (SURMOFs) grown on CaF2 provide an excellent platform for VCD. Experimental results are validated through multiscale modeling, showing strong agreement across multiple spectroscopic ...
Ana C. Fingolo +9 more
wiley +1 more source
Fermion-to-qubit mappings with varying resource requirements for quantum simulation
New Journal of Physics, 2018 The mapping of fermionic states onto qubit states, as well as the mapping of fermionic Hamiltonian into quantum gates enables us to simulate electronic systems with a quantum computer.
Mark Steudtner, Stephanie Wehner
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Quantum Algorithms for Learning and Testing Juntas
, 2007 In this article we develop quantum algorithms for learning and testing juntas, i.e. Boolean functions which depend only on an unknown set of k out of n input variables.
A. Atıcı +13 more
core +1 more source
Advanced Functional Materials, EarlyView.A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske +4 more
wiley +1 more source
Quantum circuits cannot control unknown operations
New Journal of Physics, 2014 One of the essential building blocks of classical computer programs is the ‘ if ’ clause, which executes a subroutine depending on the value of a control variable.
Mateus Araújo +3 more
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Advanced Functional Materials, EarlyView.Hybrid magnetic microdiscs with customizable size and composition are engineered through refined photolithography and LbL assembly. Embedded Fe3O4 nanoparticles enable localized, non‐cytotoxic heating, while protein cargos can be incorporated in tunable quantities.
Daniela Iglesias‐Rojas +13 more
wiley +1 more source
Exact and efficient simulation of concordant computation
New Journal of Physics, 2015 Concordant computation is a circuit-based model of quantum computation for mixed states, that assumes that all correlations within the register are discord-free (i.e. the correlations are essentially classical) at every step of the computation.
Hugo Cable, Daniel E Browne
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