Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
89 tokens/sec
Gemini 2.5 Pro Premium
41 tokens/sec
GPT-5 Medium
23 tokens/sec
GPT-5 High Premium
19 tokens/sec
GPT-4o
96 tokens/sec
DeepSeek R1 via Azure Premium
88 tokens/sec
GPT OSS 120B via Groq Premium
467 tokens/sec
Kimi K2 via Groq Premium
197 tokens/sec
2000 character limit reached

Non-Abelian braiding of Majorana-like edge states and topological quantum computations in electric circuits (1907.06911v6)

Published 16 Jul 2019 in cond-mat.mes-hall, cond-mat.supr-con, and quant-ph

Abstract: Majorana fermions subject to the non-Abelian braid group are believed to be the basic ingredients of future topological quantum computations. In this work, we propose to simulate Majorana fermions of the Kitaev model in electric circuits based on the observation that the circuit Laplacian can be made identical to the Hamiltonian. A set of AC voltages along the chain plays a role of the wave function. We generate an arbitrary number of topological segments in a Kitaev chain. A pair of topological edge states emerge at the edges of a topological segment. Its wave function is observable by the position and the phase of a peak in impedance measurement. It is possible to braid any pair of neighboring edge states with the aid of T-junction geometry. By calculating the Berry phase acquired by their eigenfunctions, the braiding is shown to generate one-qubit and two-qubit unitary operations. We explicitly construct Clifford quantum gates based on them. We also present an operator formalism by regarding a topological edge state as a topological soliton intertwining the trivial segment and the topological segment. Our analysis shows that the electric-circuit approach can simulate the Majorana-fermion approach to topological quantum computations.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Authors (1)

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube