Braiding and entanglement in spin networks: a combinatorial approach to topological phases
Zoltan Kadar, Annalisa Marzuoli, Mario Rasetti

TL;DR
This paper introduces a combinatorial approach to topological phases using spin networks, braiding, and entanglement, connecting quantum topology with condensed matter physics and quantum information storage.
Contribution
It proposes a novel state sum model based on Turaev-Viro invariants for SU(2)_q triangulations, linking boundary lattice models and topological quantum computation.
Findings
Hamiltonian of Levin-Wen model matches Turaev-Viro amplitude
Supports boundary 2D lattice models with braiding relations
Provides a combinatorial framework for topological phases
Abstract
The spin network quantum simulator relies on the su(2) representation ring (or its q-deformed counterpart at q= root of unity) and its basic features naturally include (multipartite) entanglement and braiding. In particular, q-deformed spin network automata are able to perform efficiently approximate calculations of topological invarians of knots and 3-manifolds. The same algebraic background is shared by 2D lattice models supporting topological phases of matter that have recently gained much interest in condensed matter physics. These developments are motivated by the possibility to store quantum information fault-tolerantly in a physical system supporting fractional statistics since a part of the associated Hilbert space is insensitive to local perturbations. Most of currently addressed approaches are framed within a 'double' quantum Chern-Simons field theory, whose quantum amplitudes…
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 · Topological Materials and Phenomena · Quantum Computing Algorithms and Architecture
