Latest Articles for Hamiltonian

Research sheds light on stability criteria in optomechanical systems and their implications for quantum technologies.

Exploring the dynamics of the Rosen-Morse II potential in quantum mechanics.

Research on light-matter interactions is key for advancing quantum technologies.

A new method simplifies the Time-Dependent Schrödinger Equation for better quantum predictions.

A new protocol ensures reliable results from analogue quantum simulators.

Researchers use machine learning to analyze complex quantum systems with noisy data.

Quantum computing changes how we simulate complex chemical reactions and structures.

Exploring the complexities of a one-dimensional spin model and its implications in physics.

A new method improves Hamiltonian simulation accuracy in quantum computing.

A new quantum algorithm simulates the time evolution of density matrices under Hamiltonians.

Exploring methods for energy-efficient transformations of qubit states.

Examining the role of resonance in particle behavior within storage rings.

Examining the role of quantum walks in optimizing graph division for the MAX-CUT problem.

Recent findings on regular solutions in the Yang-Baxter equation advance integrable models.

A new method enhances quantum Monte Carlo simulations for complex systems.

Research reveals insights into single-molecule magnets and their application in quantum technologies.

Research investigates unusual patterns in ultracold atomic systems.

HamLib offers a diverse library of Hamiltonians for quantum computing research.

Explore Hamiltonian systems and their crucial role in understanding physical phenomena.

Exploring the intersection of hyperbolic lattices and non-Hermitian physics for potential breakthroughs.

This article explores the impact of continuous monitoring on quantum particle transport.

Exploring the Composite QDrift-Product approach for efficient quantum system simulations.

Explore K-complexity's role in understanding quantum operator evolution and information dynamics.

Quantum optimization uses quantum computing to solve complex problems efficiently.

An exploration into non-Hermitian systems and the role of OTOCs.

New protocols enhance quantum computing capabilities using innovative techniques and classical optimization.

A look at decision-making under uncertainty using mathematical models.

Exploring the effects of gravitational waves on quantum systems.

This article explores the Hard-Core model's behavior and interactions on Cayley trees.

Learn about Hamiltonian Monte Carlo and its applications in statistics and science.

Researchers develop better Hamiltonians for simulating quantum chromodynamics interactions.

This paper discusses the spectral form factor and its implications in quantum physics.

Researchers introduce an innovative protocol for accurately estimating bosonic Hamiltonians.

Trotter24 improves quantum simulations with adaptive time step selection and effective error control.

Exploring methods to simulate complex bosonic systems using advanced quantum techniques.

This study examines how high-energy particles behave in relativistic conditions.

Understanding decoherence is vital for advancing quantum computing technologies.

Exploring adaptive Trotterization for improved quantum system simulations.

A novel algorithm improves ground-state energy estimation in quantum systems under noise.

Understanding how neutrons interact within atomic nuclei shapes nuclear physics.