Atom-mediated deterministic generation and stitching of photonic graph states
Ziv Aqua, Barak Dayan

TL;DR
This paper proposes a deterministic method for generating and stitching photonic graph states using single-atom-based quantum nodes, overcoming probabilistic limitations and photon indistinguishability issues in photonic quantum computing.
Contribution
It introduces a multi-gate quantum node with a single atom in a resonator to deterministically generate and entangle photonic graph states, enabling scalable quantum photonic networks.
Findings
Deterministic generation of photonic graph states demonstrated
Single-atom quantum nodes enable photon entanglement without indistinguishability
Numerical simulations show high performance with $^{87}$Rb atoms
Abstract
Highly-entangled multi-photon graph states are a crucial resource in photonic quantum computation and communication. Yet, the lack of photon-photon interactions makes the construction of such graph states especially challenging. Typically, these states are produced through probabilistic single-photon sources and linear-optics entangling operations that require indistinguishable photons. The resulting inefficiency of these methods necessitates a large overhead in the number of sources and operations, creating a major bottleneck in the photonic approach. Here, we show how harnessing single-atom-based photonic operations can enable deterministic generation of photonic graph states, while also lifting the requirement for photon indistinguishability. To this end, we introduce a multi-gate quantum node comprised of a single atom in a W-type level scheme coupled to an optical resonator. This…
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
TopicsNeural Networks and Reservoir Computing · Photonic and Optical Devices · Optical Network Technologies
