Results 171 to 180 of about 37,717 (312)

Toward efficient quantum computation of molecular ground‐state energies

AIChE Journal, EarlyView.
Abstract Variational quantum eigensolvers (VQEs) represent a promising approach to computing molecular ground states and energies on modern quantum computers. These approaches use a classical computer to optimize the parameters of a trial wave function, while the quantum computer simulates the energy by preparing and measuring a set of bitstring ...
Farshud Sorourifar, Mohamed Taha Rouabah, Nacer Eddine Belaloui, Mohamed Messaoud Louamri, Diana Chamaki, Erik J. Gustafson, Norm M. Tubman, Joel A. Paulson, David E. Bernal Neira   +8 more
wiley   +1 more source

Strong Decay of Correlations for Gibbs States in Any Dimension. [PDF]

J Stat Phys
Bluhm A, Capel Á, Pérez-Hernández A.
europepmc   +1 more source

The saddle point property in Hamiltonian systems

, 1990
Gerhard Sorger
openalex   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Symplectic physics-embedded learning via Lie groups Hamiltonian formulation for serial manipulator dynamics prediction. [PDF]

Sci Rep
Wang F, Chen L, Ding J.
europepmc   +1 more source

Erratum to: Stochasticity threshold for classical Hamiltonian systems [PDF]

, 1991
Marco Frasca
openalex   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Detecting the purely imaginary Fisher zeros of an Ising spin system on a quantum computer. [PDF]

Sci Rep
Kuzmak AR, Tkachuk VM.
europepmc   +1 more source

The Minimal Period Problem of Periodic Solutions for Autonomous Superquadratic Second Order Hamiltonian Systems

, 1994
Yi Ming Long
openalex   +1 more source

On the Hamiltonian structure of Ermakov systems [PDF]

, 1996
Fernando Haas, J. Goedert
openalex   +1 more source