- Quantum Information and Cryptography
- Quantum Mechanics and Applications
- Advanced Vision and Imaging
- Quantum Computing Algorithms and Architecture
- Quantum Mechanics and Non-Hermitian Physics
- Computer Graphics and Visualization Techniques
- Human Pose and Action Recognition
- Quantum chaos and dynamical systems
- 3D Shape Modeling and Analysis
- Mechanical and Optical Resonators
- Face recognition and analysis
- Quantum optics and atomic interactions
- Advanced Thermodynamics and Statistical Mechanics
- Quantum and electron transport phenomena
- Conducting polymers and applications
- Cold Atom Physics and Bose-Einstein Condensates
- Nonlinear Dynamics and Pattern Formation
- Video Surveillance and Tracking Methods
- Cardiac, Anesthesia and Surgical Outcomes
- Spectroscopy and Quantum Chemical Studies
- Generative Adversarial Networks and Image Synthesis
- Semiconductor materials and devices
- Plasma Diagnostics and Applications
- Advanced ceramic materials synthesis
- Power Line Inspection Robots
Hunan First Normal University
2016-2025
Boston Medical Center
2024
Boston University
2023-2024
Northeastern University
2023-2024
ShanghaiTech University
2023
Jiangsu Normal University
2021-2022
University of the Witwatersrand
2022
Yangtze Normal University
2020
Hunan Normal University
2006-2018
Yunnan University
2018
The success of the Neural Radiance Fields (NeRFs) for modeling and free-view rendering static objects has in-spired numerous attempts on dynamic scenes. Current techniques that utilize neural facilitating videos (FVVs) are restricted to either offline or capable processing only brief sequences with minimal motion. In this paper, we present a novel technique, Residual Field ReRF, as highly com-pact representation achieve real-time FVV ren-dering long-duration ReRF explicitly models residual...
Abstract Metal halide perovskites (MHPs) are considered as promising candidates in the application of nonvolatile high‐density, low‐cost resistive switching (RS) memories and artificial synapses, resulting from their excellent electronic optoelectronic properties including large light absorption coefficient, fast ion migration, long carrier diffusion length, low trap density, high defect tolerance. Among MHPs, 2D have exotic layered structure great environment stability compared with 3D...
We investigate the dynamics of quantum information flow in one and two impurity qubits trapped a double-well potential interacting with one-dimensional ultracold Bose-Bose mixture reservoir. For single qubit immersed binary Bose mixture, we show that system maintains coherence over finite timescales exhibits non-Markovian dynamics, particularly upper branch environment. explore transition from Markovian to dephasing through Ohmicity spectral density functions, which are significantly...
We present a quantum thermometry method utilizing probe-meter system and leveraging reinforcement learning (RL) to enhance sensitivity at low temperatures. Temperature information is exclusively obtained by coupling the probe qubit with bath, facilitating efficient extraction measuring meter system. Our evaluations, considering both dephasing dissipative probe-bath couplings, demonstrate significant enhancement in temperature through meter-assisted thermometry, excluding ultralow-temperature...
Abstract There are needs to investigate the influencing factors of necrotizing enterocolitis (NEC) in low birth weight (LBW) newborns, provide insights into clinical management NEC. This study was a retrospective cohort study. Infants admitted our hospital from January 1, 2019 June 30, 2021 were selected. The characteristics NEC and no-NEC infants evaluated. Logistic regression analyses conducted assess risk LBW infants. A total 192 included, incidence 35.42%. significant differences...
We present a method for implementing quantum temperature sensing extremely low temperatures in quasi-1D dipolar Bose-Einstein condensate reservoir with magnetic field-driven impurity atom acting as sensor. By analyzing the signal-to-noise ratio (QSNR) metric performance, we demonstrate that presence of an attractive interaction reservoir, which includes effects non-Markovian dynamics on sensor, significantly enhances estimation efficiency. also investigate steady-state efficiency...
Abstract The perfect pattern transfer from mask to substrate during the plasma‐etching process is strongly limited by charging effect on surface, which increased accumulation of negative charges surface. These are mainly caused high‐velocity isotropic electrons impinging surface faster than ions. anisotropic ions thus bombard undesired locations under influence electric field ( E ‐field) established electrons. This problem leads significant damages and causes deformations etched features due...
Lambert, Donald H. MD, PhD; Mustafa, Wissam MD; Rendon, Luis F. Hartman, Ciana MPH; Xu, Lan Canelli, Robert MD Author Information
We introduce a new kind of continuous-variable-type entangled pure states, called single-mode excited coherent states (SMEECSs), which are obtained through actions creation operator optical field on the ECSs. study mathematical properties and entanglement characteristics SMEECSs, investigate influence photon excitations quantum entanglement. It is shown that SMEECSs form type cyclic representation Heisenberg–Weyl algebra. found seriously affect character SMEECSs. also show how such can be...
We propose an approach to implement a supersensitive estimation of the key parameters Ohmic-family spectral density with coherent spin states as quantum sensor. This method can dramatically improve precision reservoir coupling strength well cutoff frequency density, by using both number spins $N$ and encoding time $t$ effective resources. The Fisher information indicates that sensitivity surpass shot-noise limit for all sub-Ohmic, Ohmic, super-Ohmic reservoirs. In particular, reservoirs,...
Abstract We examine the validity and limitation of local non-Hermitian operation in enhancement qubit-qubit entanglement from various decoherence sources. derive exact expressions concurrence quantifying for an exactly solving model consisting two qubits interacting with we show explicitly that indeed helps enhancing quantum amplitude damping, but not phase damping. Finally, give a brief discussion physical explanation our scheme.
Using the non-Hermitian operation approach, robust state transfer and entanglement distribution can be realized in quantum spin chain channel. We derive exact analytical expressions of fidelity detail investigate influence operator parameters on entanglement. Compared with pure decoherence process (without process), we find that obvious enhance preserve
Decoherence suppression from disturbance of the environment is an essential task in quantum information processing. Using non-Hermitian operation approach, decoherence a qubit system interacting with zero-temperature reservoir both spontaneous emission and dephasing investigated. We derive exact analytical expressions fidelity find that coherence can be significantly enhanced by controlling operator parameters. In particular, more effective case strong decay rates show better inhibition...
In this article, we present a method of mass production standardized high-performance differential B-dot magnetic probe together with the field measurement in pulsed current device up to hundreds kilo-Amperes. A polycrystalline diamond slice produced an Electron Assisted Chemical Vapor Deposition is used as base and insulating material imprint two symmetric loops for measurement. The SP3 carbon bond cubic lattice structure confirmed by Raman spectra. thickness 20 μm. gold loop imprinted onto...
We investigate the effect of weak measurement (WM) and quantum reversal (QMR) on improvement precision parameter estimation for a qubit interacting with various non-Markovian decoherence sources: amplitude damping, dephasing damping random unitary respectively. derive exact expressions optimal Fisher information, show explicitly that WM QMR operation indeed helps enhancing from phase but not damping. In particular, we found enhancement is independent specific form spectral density reservoir,...
Motion capture from a monocular video is fundamental and crucial for us humans to naturally experience interact with each other in Virtual Reality (VR) Augmented (AR). However, existing methods still struggle challenging cases involving self-occlusion complex poses due the lack of effective motion prior modeling. In this paper, we present novel variational (VMP) learning approach video-based resolve above issue. Instead directly building correspondence between domain, We propose learn...
Polystyrene (PS) nanoparticle films with non-close-packed arrays were prepared by using ion beam etching technology. The effects of time, current, and voltage on the size reduction PS particles well investigated. A slow rate, about 9.2 nm/min, is obtained for nanospheres diameter 100 nm. rate does not maintain constant increasing time. This may result from thermal energy accumulated gradually in a long-time bombardment beam. increases nonlinearly increase while it firstly then reach its...
Some of the most exciting experiences that Metaverse promises to offer, for instance, live interactions with virtual characters in environments, require real-time photo-realistic rendering. 3D reconstruction approaches rendering, active or passive, still extensive cleanup work fix meshes point clouds. In this paper, we present a neural volumography technique called volumetric video NeuVV support immersive, interactive, and spatial-temporal rendering contents photo-realism real-time. The core...
Coupled nano-mechanical resonators (NRs) have recently attracted great attention for both practical applications and fundamental studies. As a preparation step, it is needed to cool the coupled NRs their ground states. In this paper, we investigate mechanical cooling by employing covariance approach identical nonidentical cases, special paid strong optomechanical coupling regime. Using numerical investigations, show that two can be simultaneously cooled down nearly vibrational state with...
Monocular 3D motion capture (mocap) is beneficial to many applications. The use of a single camera, however, often fails handle occlusions different body parts and hence it limited relatively simple movements. We present light-weight, hybrid mocap technique called HybridCap that augments the camera with only 4 Inertial Measurement Units (IMUs) in learning-and-optimization framework. first employ weakly-supervised hierarchical inference module based on cooperative Gated Recurrent Unit (GRU)...