Yuxiang Peng

ORCID: 0000-0003-0592-7131
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About
Contact & Profiles
Research Areas
  • Fluid Dynamics Simulations and Interactions
  • Numerical methods in engineering
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Fluid Dynamics and Heat Transfer
  • Lattice Boltzmann Simulation Studies
  • Geotechnical Engineering and Underground Structures
  • Computational Fluid Dynamics and Aerodynamics
  • High-Velocity Impact and Material Behavior
  • Cloud Computing and Resource Management
  • Fluid Dynamics and Vibration Analysis
  • Structural Response to Dynamic Loads
  • Computability, Logic, AI Algorithms
  • Nonlocal and gradient elasticity in micro/nano structures
  • Particle Dynamics in Fluid Flows
  • Fluid Dynamics and Turbulent Flows
  • Logic, programming, and type systems
  • Parallel Computing and Optimization Techniques
  • Composite Structure Analysis and Optimization
  • Quantum Mechanics and Applications
  • Aerosol Filtration and Electrostatic Precipitation
  • Structural Integrity and Reliability Analysis
  • Energetic Materials and Combustion
  • Quantum and electron transport phenomena
  • Advanced Measurement and Detection Methods

University of Maryland, College Park
2022-2024

Sun Yat-sen University
2022-2024

Joint Center for Quantum Information and Computer Science
2023-2024

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2022-2023

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2022-2023

Harbin Engineering University
2017-2023

National University of Singapore
2006

This paper aims at presenting a general-purpose-oriented and fully parallelized meshless framework to simulate complex Fluid–Structure Interaction (FSI) problems in ocean engineering. In this framework, Weakly Compressible Smoothed Particle Hydrodynamics (WCSPH) solver is combined with several advanced pre- post-processing techniques. Based on the we have been developing our in-house WCSPH-FSI package named SPHydro for solving hydrodynamic involving FSI processes an accurate, efficient,...

10.1063/5.0133782 article EN Physics of Fluids 2023-01-01

Summary In this work, we have developed a state‐based peridynamics theory for nonlinear Reissener‐Mindlin shells to model and predict large deformation of shell structures with thick wall. The nonlocal peridynamic solids offers an integral formulation that is alternative traditional local continuum mechanics models based on partial differential equations. This applicable solving the material failure problems involved in discontinuous displacement fields. governing equations are derived...

10.1002/nme.6527 article EN International Journal for Numerical Methods in Engineering 2020-08-23

Bubble pulsation is a characteristic multiphase compressible flow, which involves periodic oscillation and strong pressure wave vulnerable to boundary conditions. The smoothed particle hydrodynamics (SPH) has limitations in imposing the fluid suitable for such problems, have been verified first with state-of-the-art SPH boundaries. It brings challenges three-dimensional modeling. Then, we propose combine finite volume method via spatial coupling deal this problem. accuracy of coupled...

10.1063/5.0147750 article EN Physics of Fluids 2023-05-01

10.1016/j.cma.2021.114074 article EN Computer Methods in Applied Mechanics and Engineering 2021-08-13

Quantum programs are notoriously difficult to code and verify due unintuitive quantum knowledge associated with programming. Automated tools relieving the tedium errors low-level details would hence be highly desirable. In this paper, we initiate study of program synthesis for unitary that recursively define a family circuits different input sizes, which widely used in existing programming languages. Specifically, present QSynth, first framework, including new inductive language, its...

10.1145/3632901 article EN Proceedings of the ACM on Programming Languages 2024-01-05

10.1016/j.cma.2020.113139 article EN Computer Methods in Applied Mechanics and Engineering 2020-05-27

Quantum Hamiltonian simulation, which simulates the evolution of quantum systems and probes phenomena, is one most promising applications computing. Recent experimental results suggest that Hamiltonian-oriented analog simulation would be advantageous over circuit-oriented digital in Noisy Intermediate-Scale (NISQ) machine era. However, programming simulators much more challenging due to lack a unified interface between hardware software. In this paper, we design implement SimuQ, first...

10.1145/3632923 article EN Proceedings of the ACM on Programming Languages 2024-01-05

10.1016/j.cma.2020.113039 article EN Computer Methods in Applied Mechanics and Engineering 2020-04-23

Complex multiphase flow problems in ocean engineering have long been challenging topics. Problems such as large deformations at interfaces, multi-media and multiple physical processes are difficult to simulate. Mesh-based algorithms could limitations dealing with interface capture deformations. On the contrary, Smoothed Particle Hydrodynamics (SPH) method, a Lagrangian meshless particle has some merit flexibility capturing interfaces boundary In recent years, improvement of SPH theory...

10.3390/en15239000 article EN cc-by Energies 2022-11-28

We investigate the algebraic reasoning of quantum programs inspired by success classical program analysis based on Kleene algebra. One prominent example such is famous Algebra with Tests (KAT), which has furnished both theoretical insights and practical tools. The succinctness would be especially desirable for scalable programs, given involvement exponential-size matrices in most existing methods. A few key features KAT including idempotent law nice properties tests, however, fail to hold...

10.1145/3519939.3523713 preprint EN 2022-06-02

Quantum computing technology may soon deliver revolutionary improvements in algorithmic performance, but it is useful only if computed answers are correct. While hardware-level decoherence errors have garnered significant attention, a less recognized obstacle to correctness that of human programming errors-"bugs." Techniques familiar most programmers from the classical domain for avoiding, discovering, and diagnosing bugs do not easily transfer, at scale, quantum because its unique...

10.1073/pnas.2218775120 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2023-05-15

Lattice Boltzmann method (LBM) has become an alternative of computing a variety fluid flows, ranging from low Reynolds number laminar flows to highly turbulent flows. For non-uniform grids are preferred. Taylor series expansion- and least-squares-based LBM (TLLBM) is effective convenient way extend standard be used on arbitrary meshes. In order show its ability solve we combine it with k–ω S-A turbulence models. To validate these combinations, the benchmark problems channel flow over...

10.1080/14685240600677624 article EN Journal of Turbulence 2006-01-01

In numerical simulations of fluid dynamics based on the smoothed particle hydrodynamics (SPH) method, formula for viscosity term is always complicated since it a second-order derivative term. this paper, Newtonian fluids, novel viscous force satisfying Stokes hypothesis proposed in weakly compressible framework. Because ease adopting only single layer particles to enforce boundary condition, normal flux method implemented solid wall boundary, which should be suitable complex geometries and...

10.1016/j.jcp.2022.111328 article EN cc-by Journal of Computational Physics 2022-05-31

Many promising quantum applications depend on the efficient simulation of an exponentially large sparse Hamiltonian, a task known as Hamiltonian simulation, which is fundamentally important in computation. Although several theoretically appealing algorithms have been proposed for this task, they typically require black-box query model rendering them impractical near-term implementation devices. In paper, we propose technique named embedding. This simulates desired by embedding it into...

10.48550/arxiv.2401.08550 preprint EN other-oa arXiv (Cornell University) 2024-01-01

Quantum algorithms often apply classical operations, such as arithmetic or predicate checks, over a quantum superposition of data; these so-called oracles are the largest components program. To ease construction efficient, correct oracle functions, this paper presents VQO, high-assurance framework implemented with Coq proof assistant. The core VQO is OQASM, assembly language. OQASM operations move qubits between two different bases via Fourier transform, thus admitting important...

10.1145/3563309 article EN Proceedings of the ACM on Programming Languages 2022-10-31
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