:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Khan, Mashhood, Lorin, Emmanuel
Formato:	Preprint
Publicado:	2024
Materias:	Computational Physics Quantum Physics
Acceso en línea:	https://arxiv.org/abs/2410.09177
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states
por: Keeble, J. W. T., et al.
Publicado: (2023)

A quantum Monte Carlo algorithm for arbitrary high-spin Hamiltonians
por: Babakhani, Arman, et al.
Publicado: (2025)

An implicit split-operator algorithm for the nonlinear time-dependent Schrödinger equation
por: Roulet, Julien, et al.
Publicado: (2021)

Quantum computational sensing using quantum signal processing, quantum neural networks, and Hamiltonian engineering
por: Khan, Saeed A., et al.
Publicado: (2025)

QGHNN: A quantum graph Hamiltonian neural network
por: Wang, Wenxuan
Publicado: (2025)

On the uncertainty principle of neural networks
por: Zhang, Jun-Jie, et al.
Publicado: (2022)

Learning high-dimensional quantum entanglement through physics-guided neural networks
por: Xu, Yang, et al.
Publicado: (2026)

A differentiation formula, with application to the two-dimensional Schrödinger equation
por: Pikovski, Alexander
Publicado: (2014)

HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
por: Sawaya, Nicolas PD, et al.
Publicado: (2023)

Quantum algorithms to simulate quadratic classical Hamiltonians and optimal control
por: Krovi, Hari
Publicado: (2024)

A numerical algorithm for solving the coupled Schrödinger equations using inverse power method
por: Zhao, Jiaxing, et al.
Publicado: (2024)

Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines
por: Tüysüz, Cenk, et al.
Publicado: (2024)

A quantum Monte Carlo algorithm for arbitrary spin-1/2 Hamiltonians
por: Barash, Lev, et al.
Publicado: (2023)

Hamiltonian-based graph-state ansatz for variational quantum algorithms
por: Anand, Abhinav, et al.
Publicado: (2023)

Recurrent convolutional neural networks for modeling non-adiabatic dynamics of quantum-classical systems
por: Ning, Alex P., et al.
Publicado: (2024)

Inverse Physics-informed neural networks procedure for detecting noise in open quantum systems
por: de Lima, Gubio G., et al.
Publicado: (2025)

Circuit-to-Hamiltonian from tensor networks and fault tolerance
por: Anshu, Anurag, et al.
Publicado: (2023)

Stable and efficient differentiation of tensor network algorithms
por: Francuz, Anna, et al.
Publicado: (2023)

A variational quantum algorithm for tackling multi-dimensional Poisson equations with inhomogeneous boundary conditions
por: Choi, Minjin, et al.
Publicado: (2024)

Addressing the ground state of the deuteron by physics-informed neural networks
por: Brevi, Lorenzo, et al.
Publicado: (2026)

Simultaneous approximation of multiple degenerate states using a single neural network quantum state
por: Sherif, Waleed
Publicado: (2025)

Bang-bang preparation of quantum many-body ground states in two dimensions: optimization of the algorithm with a two-dimensional tensor network
por: Zhang, Yintai, et al.
Publicado: (2024)

The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians
por: Krueger, Brendan K., et al.
Publicado: (2026)

Isometric tensor network optimization for extensive Hamiltonians is free of barren plateaus
por: Miao, Qiang, et al.
Publicado: (2023)

Preparing Schrödinger cat states in a microwave cavity using a neural network
por: Hutin, Hector, et al.
Publicado: (2024)

Tensorization of neural networks for improved privacy and interpretability
por: Monturiol, José Ramón Pareja, et al.
Publicado: (2025)

Fast surrogate modelling of EIT in atomic quantum systems using LSTM neural networks
por: Hita, Isabel S. Burdon, et al.
Publicado: (2025)

Symmetry-Based Perspectives on Hamiltonian Quantum Search Algorithms and Schrodinger's Dynamics between Orthogonal States
por: Cafaro, Carlo, et al.
Publicado: (2026)

Noncontextual Pauli Hamiltonians
por: Ralli, Alexis, et al.
Publicado: (2025)

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields
por: Chen, Jiakang, et al.
Publicado: (2026)

Ultrahigh-fidelity spatial mode quantum gates in high-dimensional space by diffractive deep neural networks
por: Wang, Qianke, et al.
Publicado: (2024)

Improving neural network performance for solving quantum sign structure
por: Ou, Xiaowei, et al.
Publicado: (2025)

Time-reversible and norm-conserving high-order integrators for the nonlinear time-dependent Schrödinger equation: Application to local control theory
por: Roulet, Julien, et al.
Publicado: (2020)

Programmable high-dimensional Hamiltonian in a photonic waveguide array
por: Yang, Yang, et al.
Publicado: (2023)

A neural network approach for two-body systems with spin and isospin degrees of freedom
por: Wang, Chuanxin, et al.
Publicado: (2024)

Semi-classical Schrödinger numerics in the residual representation
por: Nölle, Christoph
Publicado: (2024)

Universal algorithm for transforming Hamiltonian eigenvalues
por: Odake, Tatsuki, et al.
Publicado: (2023)

Accurate, full-dimensional computations of thousands of complex vibrational eigenstates with tree tensor network states
por: Larsson, Henrik R., et al.
Publicado: (2026)

Three-flavor Collective Neutrino Oscillations on D-Wave's {\tt Advantage} Quantum Annealer
por: Chernyshev, Ivan A.
Publicado: (2024)

Incorporating multi-qubit exchange coupling effects between transmon qubits in Maxwell-Schrödinger numerical methods
por: Khan, Ghazi, et al.
Publicado: (2025)