J. Wu

ORCID: 0009-0009-9733-021X
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About
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Research Areas
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • High-Energy Particle Collisions Research
  • Quantum Information and Cryptography
  • Cold Atom Physics and Bose-Einstein Condensates
  • Quantum Mechanics and Applications
  • Advanced Frequency and Time Standards
  • Quantum optics and atomic interactions
  • Atomic and Subatomic Physics Research
  • Quantum Computing Algorithms and Architecture
  • Particle Detector Development and Performance
  • Machine Learning in Materials Science
  • Neural Networks and Reservoir Computing
  • Quantum many-body systems
  • Gaussian Processes and Bayesian Inference
  • Orbital Angular Momentum in Optics
  • Medical Imaging Techniques and Applications
  • Particle Accelerators and Free-Electron Lasers
  • Radioactive Decay and Measurement Techniques
  • Neutrino Physics Research
  • Reservoir Engineering and Simulation Methods
  • Advanced X-ray and CT Imaging

University of Hong Kong
2023-2025

Hong Kong University of Science and Technology
2023-2025

Flometrics (United States)
2006

Australian National University
2000-2003

As quantum technology rapidly advances, the need for efficient scalable methods to characterize systems intensifies. Quantum state tomography and Hamiltonian learning are essential interpreting optimizing systems, yet a unified approach remains elusive. Such an integration could enhance our understanding of complex relationship between states Hamiltonians, contributing development more methodologies. In this paper, we present method that integrates learning, drawing inspiration from machine...

10.1103/physrevapplied.21.014037 article EN Physical Review Applied 2024-01-19

Recent advancements in quantum hardware and classical computing simulations have significantly enhanced the accessibility of system data, leading to an increased demand for precise descriptions predictions these systems. Accurate prediction Hamiltonian dynamics identification parameters are crucial simulations, error correction, control protocols. This Letter introduces a machine learning model with dual capabilities: it can deduce time-dependent from observed changes local observables...

10.1103/physrevlett.134.120202 article EN Physical Review Letters 2025-03-27

We show that squeezed vacuum state and Fock states can be used to test Bell's inequalities by means of two-mode Wigner function measurement. High quantum efficiency optical homodyne tomography cascaded homodyning ensure these proposals practical experimentally.

10.1103/physreva.61.022111 article EN Physical Review A 2000-01-12

Quantum state tomography (QST) is crucial for understanding and characterizing quantum systems through measurement data. Traditional QST methods face scalability challenges, requiring $\mathcal{O}(d^2)$ measurements a general $d$-dimensional state. This complexity can be substantially reduced to $\mathcal{O}(d)$ in pure tomography, indicating that full are unnecessary states. In this paper, we investigate the conditions under which given uniquely determined by subset of measurements,...

10.48550/arxiv.2501.00327 preprint EN arXiv (Cornell University) 2024-12-31

We present a novel configuration of magneto-optical trap for cold atoms. The is very simple in design, employing only small permanent magnet and an external Helmholtz bias coil. trap's principal advantage that the entire volume overlapping laser beams can be used atom guiding manipulation. An especially interesting effect rotation trapped atoms circular motion as rotated. Clouds containing on order 2*10(6) are rotated up to 60Hz forming 5 mm diameter ring. This potentially studying behavior...

10.1364/oe.14.004969 article EN cc-by Optics Express 2006-01-01

Schr\"odinger's equation serves as a fundamental component in characterizing quantum systems, wherein both state tomography and Hamiltonian learning are instrumental comprehending interpreting systems. While numerous techniques exist for carrying out Hamiltonians individually, no method has been developed to combine these two aspects. In this study, we introduce new approach that employs the attention mechanism transformer models effectively merge learning. By carefully choosing preparing...

10.48550/arxiv.2304.12010 preprint EN other-oa arXiv (Cornell University) 2023-01-01

We present methods of transforming the standard quadrature amplitude squeezing a continuous-wave light beam to its Stokes parameters and transverse spatial modes statistics. These two states are called polarization squeezing, respectively. experimental results amplitude, obtained with common setup based on optical parametric amplifiers. The transformations from achieved only simple linear optics.

10.1117/12.497081 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2003-05-16

Summary form only given.We show experimentally the reconstructions of Wigner functions for output states a laser. These have classical with Gaussian cross-sections. In order to investigate spectral properties states, we normalize in inverse Radon transform algorithm coherent state. this way, are able compare full spectrum obtained different detection frequencies, paying particular attention near laser relaxation oscillation. The same normalized function is also used measure squeezed optical...

10.1109/iqec.1998.680248 article EN 2002-11-27
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