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Teacups, a Python Package for the Simulation of Time-Resolved EPR Spectra of Spin-Polarized Multi-Spin Systems. [PDF]
Quintes T, Weber S, Richert S.
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Ab initio simulation of spin-charge qubits based on bilayer graphene-WSe<sub>2</sub> quantum dots. [PDF]
Ge H+7 more
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Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay
IEEE Transactions on Neural Networks and Learning Systems, 2022This article presents a novel efficient experience-replay-based adaptive dynamic programming (ADP) for the optimal control problem of a class of nonlinear dynamical systems within the Hamiltonian-driven framework.
Yongliang Yang+3 more
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Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors
IEEE Transactions on Cybernetics, 2021In this article, we consider an iterative adaptive dynamic programming (ADP) algorithm within the Hamiltonian-driven framework to solve the Hamilton–Jacobi–Bellman (HJB) equation for the infinite-horizon optimal control problem in continuous time for ...
Yongliang Yang+5 more
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The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
Journal of machine learning research, 2011Hamiltonian Monte Carlo (HMC) is a Markov chain Monte Carlo (MCMC) algorithm that avoids the random walk behavior and sensitivity to correlated parameters that plague many MCMC methods by taking a series of steps informed by first-order gradient ...
M. Hoffman, A. Gelman
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On Hamiltonian cycles and Hamiltonian paths
Information Processing Letters, 2005A Hamiltonian cycle is a spanning cycle in a graph, i.e., a cycle through every vertex, and a Hamiltonian path is a spanning path. In this paper we present two theorems stating sufficient conditions for a graph to possess Hamiltonian cycles and Hamiltonian paths.
Mohammad Kaykobad, M. Sohel Rahman
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Hamiltonian Systems with Convex Hamiltonians
2004A well-known theorem states that if a level surface of a Hamiltonian is convex, then it contains a periodic trajectory of the Hamiltonian system [142], [147]. In this chapter we prove a more general statement as an application of optimal control theory for linear systems.
Yuri L. Sachkov, Andrei A. Agrachev
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Port-Hamiltonian Systems Theory: An Introductory Overview
Found. Trends Syst. Control., 2014An up-to-date survey of the theory of port-Hamiltonian systems is given, emphasizing novel developments and relationships with other formalisms. Port-Hamiltonian systems theory yields a systematic framework for network modeling of multi-physics systems ...
A. Schaft, D. Jeltsema
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Realizing the classical XY Hamiltonian in polariton simulators.
Nature Materials, 2016The vast majority of real-life optimization problems with a large number of degrees of freedom are intractable by classical computers, since their complexity grows exponentially fast with the number of variables. Many of these problems can be mapped into
P. Lagoudakis+6 more
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