Flexible entangled state generation in linear optics
Brendan Pankovich, Alex Neville, Angus Kan, Srikrishna Omkar, Kwok Ho Wan, Kamil Br\'adler

TL;DR
This paper advances linear optical quantum computing by improving probabilistic entangled state generation through multi-qubit fusion measurements, auxiliary states, and ZX diagram-based optimization methods.
Contribution
It introduces methods to enhance entangled resource state generation in linear optics using fusion measurements, auxiliary states, and ZX diagram techniques.
Findings
Boosted success probability of GHZ state analyzers.
Implemented multi-qubit fusion measurements on dual-rail qubits.
Provided a framework linking seed state generators to ZX diagrams.
Abstract
Fault-tolerant quantum computation can be achieved by creating constant-sized, entangled resource states and performing entangling measurements on subsets of their qubits. Linear optical quantum computers can be designed based on this approach, even though entangling operations at the qubit level are non-deterministic in this platform. Probabilistic generation and measurement of entangled states must be pushed beyond the required threshold by some combination of scheme optimisation, introduction of redundancy and auxiliary state assistance. We report progress in each of these areas. We explore multi-qubit fusion measurements on dual-rail photonic qubits and their role in measurement-based resource state generation, showing that it is possible to boost the success probability of photonic GHZ state analysers with single photon auxiliary states. By incorporating generators of basic…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
