Heterogeneous Multipartite Entanglement Purification for Size-Constrained Quantum Devices
Stefan Krastanov, Alexander Sanchez de la Cerda, Prineha Narang

TL;DR
This paper introduces a novel approach to multipartite entanglement purification tailored for size-constrained quantum devices, revealing that smaller sacrificial states can outperform larger copies in resource efficiency.
Contribution
It proposes a new purification strategy that considers hardware limitations, showing that small sacrificial states can be more effective than multiple copies of the same state.
Findings
Smaller sacrificial states can enhance purification efficiency.
Purification strategies can be optimized for finite-size noisy hardware.
New pathways for near-term quantum network hardware are identified.
Abstract
The entanglement resource required for quantum information processing comes in a variety of forms, from Bell states to multipartite GHZ states or cluster states. Purifying these resources after their imperfect generation is an indispensable step towards using them in quantum architectures. While this challenge, both in the case of Bell pairs and more general multipartite entangled states, is mostly overcome in the presence of perfect local quantum hardware with unconstrained qubit register sizes, devising optimal purification strategies for finite-size realistic noisy hardware has remained elusive. Here we depart from the typical purification paradigm for multipartite states explored in the last twenty years. We present cases where the hardware limitations are taken into account, and surprisingly find that smaller `sacrificial' states, like Bell pairs, can be more useful in the…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
