Heterogeneous Multipartite Entanglement Purification for Size-Constrained Quantum Devices

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 purification of multipartite states than additional copies of these same states. This drastically simplifies the requirements and presents a fundamentally new pathway to leverage near term networked quantum hardware.

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• Thresholds for the distributed surface code in the presence of memory decoherence
• Stabilizer Entanglement Distillation and Efficient Fault-Tolerant Encoders
• Training iterated protocols for distillation of GHZ states with variational quantum algorithms
• Fidelity-Aware Multipath Routing for Multipartite State Distribution in Quantum Networks