Experimental realization of a photonic weighted graph state for quantum metrology
Unathi Skosana, Byron Alexander, Changhyoup Lee, Mark Tame

TL;DR
This paper demonstrates the first experimental realization of a tunable photonic weighted graph state for quantum metrology, showing quantum advantage in phase sensing with less entanglement than traditionally required.
Contribution
It introduces a method to create and characterize a tunable photonic weighted graph state, enabling quantum-enhanced measurements with reduced entanglement.
Findings
Quantum advantage achieved with less entanglement.
Excellent agreement with theoretical predictions.
First experimental realization of tunable weighted graph states.
Abstract
Quantum metrology seeks to push the boundaries of measurement precision by harnessing quantum phenomena. Conventional methods often rely on maximally entangled resources, with states that are usually challenging to produce and sustain in practical setups. Here, we show that the maximally entangled constraint can be lifted by experimentally realizing a photonic two-qubit weighted graph state with an arbitrarily tunable graph weight. We use the generated state as a resource for quantum-enhanced phase sensing. We experimentally characterize the state and study its minimum estimator variance for two distinct local measurement bases as the graph weight varies from the maximally entangled to weakly entangled limit. We find excellent quantitative agreement with theoretical predictions, and observe a gain in precision beyond the classically attainable precision limit for graph weights…
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 Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
