Renormalization of States and Quasiparticles in Many-body Downfolding
Annabelle Canestraight, Zhen Huang, Vojtech Vlcek

TL;DR
This paper investigates how to effectively reduce many-body Hamiltonian complexity through downfolding, emphasizing the importance of quasiparticle renormalization at different energy scales for accurate low-dimensional representations.
Contribution
It introduces a fidelity measure for effective Hamiltonians and demonstrates the necessity of quasiparticle renormalization across energy scales in many-body downfolding.
Findings
Effective Hamiltonians can accurately reproduce physics with energy scale separation.
Quasiparticle renormalization at multiple energy scales is essential.
Numerical models show the approach's strengths and limitations.
Abstract
We explore the principles of many-body Hamiltonian complexity reduction via downfolding on an effective low-dimensional representation. We present a unique measure of fidelity between the effective (reduced-rank) description and the full many-body treatment for arbitrary (i.e., ground and excited) states. When the entire problem is mapped on a system of interacting quasiparticles [npj Computational Materials 9 (1), 126, 2023], the effective Hamiltonians can faithfully reproduce the physics only when a clear energy scale separation exists between the subsystems and its environment. We also demonstrate that it is necessary to include quasiparticle renormalization at distinct energy scales, capturing the distinct interaction between subsystems and their surrounding environments. Numerical results from simple, exactly solvable models highlight the limitations and strengths of this approach,…
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
TopicsQuantum many-body systems · Advanced Thermodynamics and Statistical Mechanics · Theoretical and Computational Physics
