Entanglement-efficiency trade-offs in the fusion-based generation of photonic GHZ-like states
A. A. Melkozerov, M. Yu. Saygin, S. S. Straupe
TL;DR
This paper presents linear-optical strategies to generate and fuse GHZ-like states with tunable entanglement, defined by $|G_n(\alpha)\rangle = \cos(\alpha)|0\rangle^{\otimes n} + \sin(\alpha)|1\rangle^{\otimes n}$. It introduces two fusion-based protocols using standard and modified fusion gates (with a variable beam splitter $\text{VBS}(\theta)$) to trade entanglement for higher generation efficiency, enabling success probabilities that can exceed the traditional $1/2$ bound without extra photonic resources. A general and a more efficient method describe how to assemble large $N$-qubit GHZ-like states from small $|G_2(\alpha)\rangle$ resources, with total success probabilities $P_{gen}^{(1)}$ and $P_{gen}^{(2)}$ respectively and detailed dependence on input Schmidt angles. The work analyzes entanglement-capability trade-offs via fusion entropy, demonstrates tunable output entanglement via modified gates, and discusses resource requirements and multiplexing to approach near-deterministic generation, highlighting significant potential for scalable quantum computing and communication using photonic GHZ-like states.
Abstract
Probabilistic entangling measurements are key operations in linear-optical quantum technologies, enabling the generation and manipulation of high-dimensional quantum states. While prior research has focused predominantly on specific entangled states, notably graph states and Greenberger-Horne-Zeilinger (GHZ) states, broader classes of states with variable entanglement remain underexplored. In this work, we present a linear-optical approach for generating and fusing GHZ-like states, which generalize standard GHZ states to include variable entanglement degrees. We introduce two schemes based on modified fusion gates that allow flexible control over generation efficiency and the entanglement of the output states. These results offer a promising pathway toward resource-efficient entangled-state generation for scalable quantum computing and communication.
