Optimal Continuous- to Discrete-Variable Bipartite Entanglement Conversion
Pak-Tik Fong, Ruchir Tullu, Hoi-Kwan Lau

TL;DR
This paper introduces optimal methods for converting continuous-variable entanglement into discrete-variable entanglement using local operations, enabling more feasible quantum technology implementations on bosonic systems.
Contribution
It presents two optimal schemes for CV to DV entanglement conversion, including maximal rate extraction and probabilistic high-entanglement production, with performance quantification and implementation strategies.
Findings
Maximally entangled qubit pairs achieved at maximal rate
Probabilistic generation of high-entanglement qudit pairs
Finite measurement rounds suffice despite infinite-dimensional CV resources
Abstract
Discrete-variable (DV) entanglement is crucial for numerous quantum applications, yet its deterministic generation in many bosonic systems remains experimentally challenging. In contrast, continuous-variable (CV) entanglement can be produced efficiently. We propose two optimal schemes for converting CV bipartite entanglement into DV entanglement using only local operations and classical communication. The first scheme extracts maximally entangled qubit pairs at the theoretically maximal rate, while the second probabilistically produces a maximally entangled qudit pair with the highest average entanglement. In both schemes, we quantify the optimal performance and identify the measurement operators required for implementation. Notably, using only a sequence of binary measurements, our approach can succeed in a finite number of measurement rounds on average, even though the CV resource is…
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
