Probing fractional statistics in quantum simulators of spin liquid Hamiltonians
Shiyu Zhou, Maria Zelenayova, Oliver Hart, Claudio Chamon, Claudio, Castelnovo

TL;DR
This paper proposes a method to detect fractional statistics in quantum simulators of spin liquids using quasiparticle interferometry, demonstrating robustness against noise and providing a way to test quantum coherence in these devices.
Contribution
It introduces a generic approach to probe fractional statistics in topological spin liquids with a specific implementation using combinatorial gauge symmetry.
Findings
Design of a quasiparticle interferometry scheme for fractional statistics detection
Assessment of scheme robustness against disorder and dephasing
Scheme serves as a test of quantum coherence in quantum simulators
Abstract
Recent advances in programmable quantum devices brought to the fore the intriguing possibility of using them to realise and investigate topological quantum spin liquid phases. This new and exciting direction brings about important research questions on how to probe and determine the presence of such exotic, highly entangled phases. One of the most promising tools is investigating the behaviour of the topological excitations, and in particular their fractional statistics. In this work we put forward a generic route to achieve this, and we illustrate it in the specific case of topological spin liquids implemented with the aid of combinatorial gauge symmetry. We design a convenient architecture to study signatures of fractional statistics via quasiparticle interferometry, and we assess its robustness to diagonal and off-diagonal disorder, as well as to dephasing -- effects…
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 · Neural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture
