A5027973290- Quantum Information and Cryptography
- Astro and Planetary Science
- Quantum Computing Algorithms and Architecture
- Quantum-Dot Cellular Automata
- Machine Learning and Algorithms
- Molecular Communication and Nanonetworks
- Spacecraft Dynamics and Control
- Quantum chaos and dynamical systems
- Stellar, planetary, and galactic studies
- Advanced Thermodynamics and Statistical Mechanics
- Space Satellite Systems and Control
Tsinghua University
2023
ABSTRACT Mean motion resonances are important in the analysis and understanding of dynamics planetary systems. While perturbative approaches have been dominant many previous studies, recent non-perturbative revealed novel properties low-eccentricity regime for interior mean Jupiter fundamental model circular planar restricted three-body model. Here, we extend investigation to exterior (up about 0.1) perturber mass range ∼5 × 10−5 1 10−3 (in units central mass). Our results demonstrate that...
This paper investigates the global optimization of multispacecraft successive rendezvous trajectories, which is divided here into three subproblems: target assignment, sequence optimization, and time optimization. A method consisting two novel algorithms proposed to solve these subproblems. First, a multitree search framework developed assign multiple targets each spacecraft simultaneously optimize for every single spacecraft. Specifically, algorithm local combined with beam proposed....
We study the complexity of estimating partition function ${\mathsf{Z}}(\beta)=\sum_{x\in\chi} e^{-\beta H(x)}$ for a Gibbs distribution characterized by Hamiltonian $H(x)$. provide simple and natural lower bound quantum algorithms that solve this task relying on reflections through coherent encoding states. Our primary contribution is $\Omega(1/\epsilon)$ number needed to estimate with algorithm. also prove $\Omega(1/\epsilon^2)$ query classical algorithms. The proofs are based reduction...
We initiate the study of utilizing Quantum Langevin Dynamics (QLD) to solve optimization problems, particularly those non-convex objective functions that present substantial obstacles for traditional gradient descent algorithms. Specifically, we examine dynamics a system coupled with an infinite heat bath. This interaction induces both random quantum noise and deterministic damping effect system, which nudge towards steady state hovers near global minimum functions. theoretically prove...