Symplectic Split-Operator Propagators from Tridiagonalized Multi-Mode Bosonic Hilbert Spaces for Bose-Hubbard Hamiltonians
Denys I. Bondar, Ole Steuernagel

TL;DR
This paper introduces a method to efficiently diagonalize and simulate large bosonic multimode systems, like optomechanical and Bose-Hubbard models, using tridiagonalization and symplectic split-operator propagators, enabling larger basis sizes.
Contribution
The authors develop a tridiagonalization approach for bosonic systems that allows exact diagonalization with sparse algorithms, improving simulation capacity for complex quantum models.
Findings
Exact tridiagonalization of bosonic Hamiltonians achieved
Efficient diagonalization with $D imes D$ matrices and sparse algorithms
Implementation of symplectic split-operator propagators with minimal basis re-indexing
Abstract
In this methods paper, we show how to tridia\-go\-nalize two families of bosonic multimode systems: optomechanical and Bose-Hubbard hamiltonians. Using tools from number theory, we devise a rendering of these systems in the form of exact tridiagonal symmetric matrices with real-valued entries. Such matrices can subsequently be exactly diagonalized using specialized sparse-matrix algorithms that need on the order of steps. This makes it possible to describe systems with much larger numbers of basis states than available to date. It also allows for efficient diagonal representation of large, accurate, symplectic split-operator propagators for which we moreover show that the required basis changes can be implemented by simple re-indexing, at marginal computational cost.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCold Atom Physics and Bose-Einstein Condensates · Quantum Mechanics and Non-Hermitian Physics · Quantum many-body systems
