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We propose a fast and efficient technique to create classes of highly entangled states of trapped ions, such as arbitrary Dicke states and superpositions of them, e.g. NOON states. The ions are initialized in the phonon ground state and are…

Quantum Physics · Physics 2015-06-11 Svetoslav S. Ivanov , Nikolay V. Vitanov , Natalia V. Korolkova

Detailed measurements of the critical current density jc of YBa2Cu3O7 films grown by pulsed laser deposition reveal the increase of jc as function of the filmthickness. Both this thickness dependence and the field dependence of the critical…

Multi-directional 3D printing has the capability of decreasing or eliminating the need for support structures. Recent work proposed a beam-guided search algorithm to find an optimized sequence of plane-clipping, which gives volume…

Graphics · Computer Science 2020-07-21 Chenming Wu , Yong-Jin Liu , Charlie C. L. Wang

In this paper, we investigate the use of a mass lumped fully explicit time stepping scheme for the discretisation of the wave equation with underlying material parameters that vary at arbitrarily fine scales. We combine the leapfrog scheme…

Numerical Analysis · Mathematics 2021-09-08 Sjoerd Geevers , Roland Maier

Laser-driven compact particle accelerators can provide ultrashort pulses of broadband X-rays, well suited for undertaking X-ray absorption spectroscopy measurements on a femtosecond timescale. Here the Extended X-ray Absorption Fine…

Interface roughness scattering is an important limiting factor for achieving high performance Quantum Cascade Lasers. Following recent results, we study the growth conditions for a strain-compensated QCL emitting around 4.6 {\mu}m grown on…

Applied Physics · Physics 2026-02-05 Alessio Cargioli , Mattias Beck , Jerome Faist

FeSe$_{1-x}$Te$_{x}$ thin films with PbO-type structure are successfully grown on MgO(100) and LaSrAlO$_{4}$(001) substrates from FeSe$_{1-x}$Te$_{x+d}$ polycrystalline targets by pulsed-laser deposition. The film deposited on the MgO…

Superconductivity · Physics 2009-08-11 Yoshinori Imai , Ryo Tanaka , Takanori Akiike , Masafumi Hanawa , Ichiro Tsukada , Atsutaka Maeda

Pulse self-compression is a simple and economical method for improving the peak power of ultra-intense laser pulses. By solving a modified nonlinear Schrodinger equation considering the fifth-order susceptibility, we found that…

Optics · Physics 2023-09-12 Renjing Chen , Wenhai Liang , Yilin Xu , Xiong Shen , Peng Wang , Jun Liu , Ruxin Li

We investigate speeding up of relaxation of Markovian open quantum systems with the Liouvillian exceptional point (LEP), where the slowest decay mode degenerate with a faster decay mode. The degeneracy significantly increases the gap of the…

Quantum Physics · Physics 2025-01-14 Yan-Li Zhou , Xiao-Die Yu , Chun-Wang Wu , Xie-Qian Li , Jie Zhang , Weibin Li , Ping-Xing Chen

The lasing operation of a ZnO planar microcavity under optical pumping is demonstrated from T=80 K to 300 K. At the laser threshold, the cavity switches from the strong coupling to the weak coupling regime. A gain-related transition, which…

Thin films of functional inorganic materials, particularly oxides, play a vital role in optoelectronics, enabling applications that range from active optical components to MEMS-based architectures. Achieving high aspect ratio patterning of…

Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently using message-passing algorithms such as belief propagation…

Data Structures and Algorithms · Computer Science 2012-06-18 David Sontag , Talya Meltzer , Amir Globerson , Tommi S. Jaakkola , Yair Weiss

Superconducting epitaxial FeSe0.5Te0.5 thin films were prepared on SrTiO3 (001) substrates by pulsed laser deposition. The high purity of the phase, the quality of the growth and the epitaxy were studied with different experimental…

W-O deposits with complex morphologies and significant He contents will growth on the surface of plasma facing components exposed to He discharges. To mimic the re/co-deposition process, W-O-He coatings were produced by implanting He+ ions…

Applied Physics · Physics 2018-12-18 R. Mateus , D. Dellasega , M. Passoni , Z. Siketić , I. Bogdanović Radović , A. Hakola , E. Alves

Electron Beam-Induced Deposition (EBID) enables site-specific nanofabrication but suffers from significant carbon contamination, limiting its applicability in plasmonics, nanoelectronics, and sensing. In this study, we investigate the…

Applied Physics · Physics 2026-05-19 Marianna D'Amato , Linda Piscopo , Hanna Le Jeannic , Alberto Bramati , Antonio Balena

The simultaneous laser-driven acceleration and angular manipulation of the fast electron beam is experimentally demonstrated. The bunch of multi-MeV energy charged particles is generated during the propagation of the femtosecond laser pulse…

Plasma Physics · Physics 2023-10-19 K. Ivanov , D. Gorlova , I. Tsymbalov , I. Tsygvintsev , S. Shulyapov , R. Volkov , A. Savelev

Using a laser-based ranging method for precise environmental 3D sensing, LiDAR has numerous applications in science and industry. However, conventional LiDAR face challenges in simultaneously achieving high ranging precision and fast…

Optics · Physics 2024-12-10 Lizong Dong , Qinggai Mi , Siyu Zhou , Yuetang Yang , Yuanzu Wang , Guanhao Wu

Deep learning-based bilateral grid processing has emerged as a promising solution for image enhancement, inherently encoding spatial and intensity information while enabling efficient full-resolution processing through slicing operations.…

Computer Vision and Pattern Recognition · Computer Science 2025-07-17 Junyu Lou , Xiaorui Zhao , Kexuan Shi , Shuhang Gu

A fast algorithm for the approximation of a low rank LU decomposition is presented. In order to achieve a low complexity, the algorithm uses sparse random projections combined with FFT-based random projections. The asymptotic approximation…

Numerical Analysis · Mathematics 2016-01-19 Yariv Aizenbud , Gil Shabat , Amir Averbuch

Large deep learning models have achieved remarkable success but are resource-intensive, posing challenges such as memory usage. We introduce CURing, a novel model compression method based on CUR matrix decomposition, which approximates…

Machine Learning · Computer Science 2025-01-13 Sanghyeon Park , Soo-Mook Moon
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