Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training by Shengjie Tang, Cheng Chen, Qi Qin, Xiaoping Liu

“…Photonic neural networks are emerging as promising computing platforms for artificial intelligence (AI). Particularly, integrated photonic unitary neural networks (IPUNNs) are capable of mitigating gradient vanishing/explosion problems when deeper neural networks are constructed. …”
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Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks by Yongli Tang, Menghao Guo, Binyong Li, Kaixin Geng, Jinxia Yu, Baodong Qin

“…Moreover, each evaluator, while possessing the ability to perform all single-qubit unitary operations, is able to perform arbitrary single-qubit gate computation task assigned by the data owner. …”
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Principles and Directions of Long-Term Stimulation of Innovation Activity in the Social Sphere by D. A. Serebryakov

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Decoherence-free many-body Hamiltonians in nonlinear waveguide quantum electrodynamics by Aviv Karnieli, Offek Tziperman, Charles Roques-Carmes, Shanhui Fan

“…Waveguide quantum electrodynamics is a promising platform for achieving this, as it hosts infinite-range interactions and decoherence-free subspaces of quantum emitters. …”
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METHOD FOR EFFECTIVE SEPARATION OF MICROPLASTIC PARTICLES FROM BOTTOM SEDIMENTS by V.O. Iemelianov, Ye.І. Nasiedkіn, T.S. Kukovska, S.M. Dovbysh

“…The size of the grinding platform and the availability of additional elements guarantee the ability to work with containers of various volumes, shapes, and sizes. …”
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TESLA GPUs versus MPI with OpenMP for the Forward Modeling of Gravity and Gravity Gradient of Large Prisms Ensemble by Carlos Couder-Castañeda, Carlos Ortiz-Alemán, Mauricio Gabriel Orozco-del-Castillo, Mauricio Nava-Flores

“…An implementation with the CUDA technology in a single and in several graphics processing units (GPUs) is presented for the calculation of the forward modeling of gravitational fields from a tridimensional volumetric ensemble composed by unitary prisms of constant density. We compared the performance results obtained with the GPUs against a previous version coded in OpenMP with MPI, and we analyzed the results on both platforms. …”
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