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Pauli Fusion: a Computational Model to Realise Quantum Transformations from ZX Terms
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We present an abstract model of quantum computation, the "Pauli Fusion" model, whose primitive operations correspond closely to generators of the ZX calculus (a formal graphical language for quantum computing). The fundamental operations of Pauli Fusion are also straightforward abstractions of basic processes in some leading proposed quantum technologies. These operations have non-deterministic heralded effects, similarly to measurement-based quantum computation. We describe sufficient conditions for Pauli Fusion procedures to be deterministically realisable, so that it performs a given transformation independently of its non-deterministic outcomes. This provides an operational model to realise ZX terms beyond the circuit model.
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Cited by 1 Pith paper
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Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling
A quantum neural network reached 55% test accuracy on 20 pedestrian stress samples, the best score reported, but the difference from classical baselines is not statistically supported.
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