transverse-field Ising model

The transverse-field Ising model is a quantum many-body system that describes the dynamics of spins under the influence of a transverse magnetic field, and it is used to evaluate the effectiveness of Trotterization methods in digital quantum simulations.

Papers using transverse-field Ising model (25)

Exploring fixed points and eigenstates of quantum systems with reinforcement learning2025Accelerating Noisy Variational Quantum Algorithms with Physics-Informed Denoising Networks2026Combining non-parametric quantum states and MERA tensor networks for ground-state optimization2026Symmetric Trotterization in digital quantum simulation of quantum spin dynamics2026Learning Quantum Operator Dynamics from Short-Time Data2026Parametric Quantum State Tomography with HyperRBMs2026Vari-Cool: a non-unitary quantum variational protocol for simulated cooling2025Exploiting biased noise in variational quantum models2025Quantum Krylov Subspace Diagonalization via Time Reversal Symmetries2025Probabilistic imaginary-time evolution in state-vector-based and shot-based simulations and on quantum devices2025Verifiable End-to-End Delegated Variational Quantum Algorithms2025Geometric Quantum Gates of Non-closed Paths Under Counterdiabatic Driving2025Data-Efficient Error Mitigation for Physical and Algorithmic Errors in a Hamiltonian Simulation2025Efficient and practical Hamiltonian simulation from time-dependent product formulas2024 · 2 citesVariational Quantum Eigensolvers with Quantum Gaussian Filters for solving ground-state problems in quantum many-body systems2024 · 1 citesQuantum Kernel t-Distributed Stochastic Neighbor Embedding2023Enhancing Scalability of Quantum Eigenvalue Transformation of Unitary Matrices for Ground State Preparation through Adaptive Finer Filtering2024Utilizing small quantum computers for machine learning and ground state energy approximation2024Global optimization in variational quantum algorithms via dynamic tunneling method2024Ancillary entangling Floquet kicks for accelerating quantum algorithms2024A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations2024Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks2024Dual-VQE: A quantum algorithm to lower bound the ground-state energy2023Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems2024Operator-Projected Variational Quantum Imaginary Time Evolution2024