Results 271 to 280 of about 743,578 (322)

Digital Quantum Simulation of Wavepacket Correlations in a Chemical Reaction. [PDF]

Entropy (Basel)
Mohtashim SI, Kais S.
europepmc   +1 more source

End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing

Advanced Quantum Technologies, EarlyView.
This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula, Sangram Deshpande, Rakesh Yata, Rushikesh Ubale, Uday Wad, Kazuki Ikeda   +5 more
wiley   +1 more source

Speed of evolution in qutrit systems. [PDF]

Sci Rep
Espino-González J, Sevilla FJ, Valdés-Hernández A.   +2 more
europepmc   +1 more source

Projected entangled pair states for lattice gauge theories with dynamical fermions. [PDF]

Commun Phys
Kelman A, Borla U, Emonts P, Zohar E.
europepmc   +1 more source

Analysis of Multi-Component Echo Decay in Achilles Tendon by NMR Spectroscopy. [PDF]

NMR Biomed
Aptekarev T, Furman G, Sokolovsky V, Xia Y.   +3 more
europepmc   +1 more source

Photonic variational quantum eigensolver for NISQ-compatible quantum technology. [PDF]

Nano Converg
Hu KM, Namkung M, Lim HT.
europepmc   +1 more source

A versatile large-scale coherent Ising machine from microwave to visible and telecom wavelength bands. [PDF]

Light Sci Appl
Zhang H, Li J, Zhu H.
europepmc   +1 more source

Symmetry conserving high rank terms for description of displaced beta and gamma rotational energy bands in deformed nuclei. [PDF]

Sci Rep
Pourahmadi M, Sabri H.
europepmc   +1 more source

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Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay

IEEE Transactions on Neural Networks and Learning Systems, 2022
This 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, Yongping Pan, Cheng-Zhong Xu, D. Wunsch   +3 more
semanticscholar   +1 more source

The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo

Journal of machine learning research, 2011
Hamiltonian 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
semanticscholar   +1 more source