Deterministically generating photonic graph states for quantum information technologies

Chenxu Liu; Edwin Barnes; Sophia E. Economou

doi:10.1117/12.2639935

19 July 2022 Deterministically generating photonic graph states for quantum information technologies

Chenxu Liu, Edwin Barnes, Sophia E. Economou

Proceedings Volume PC12243, Photonics for Quantum 2022; PC1224314 (2022) https://doi.org/10.1117/12.2639935
Event: Photonics for Quantum, 2022, Rochester, NY, United States

Abstract

Photonic systems are among the most promising for robust quantum information processing. Photonic entangled graph states can be used to encode quantum information in a way that is robust against loss and decoherence, and they serve as a fundamental resource for various quantum applications, e.g., quantum computing, communication and sensing. In this talk, we will present our recent progress toward deterministically generating photonic graph states using quantum emitters. We propose several schemes for generating microwave graph states using transmon qubits, and we provide explicit superconducting circuit designs and fidelity estimates. Furthermore, we will also discuss the required resources for generating photonic graph states deterministically from other types of emitters such as quantum dots or color centers. We will present our algorithm for determining the minimum number of quantum emitters and the precise operation sequence needed to generate an arbitrary target photonic graph state. The algorithm and the operation sequence both scale polynomially in the size of the photonic graph state.

Conference Presentation

Citation Download Citation

Chenxu Liu, Edwin Barnes, and Sophia E. Economou "Deterministically generating photonic graph states for quantum information technologies", Proc. SPIE PC12243, Photonics for Quantum 2022, PC1224314 (19 July 2022); https://doi.org/10.1117/12.2639935

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available