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        <dc:title>Unified boson sampling</dc:title>
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        <bibo:abstract>&lt;jats:p&gt;Boson sampling is a key candidate for demonstrating quantum advantage and has already yielded significant advances in quantum simulation, machine learning, and graph theory. In this work, a unification and extension of distinct forms of boson sampling is developed. The devised protocol merges discrete-variable scattershot boson sampling with continuous-variable Gaussian boson sampling. Therefore, it is rendered possible to harness the complexity of more interesting states, such as squeezed photons, in advanced sampling protocols. A generating function formalism is developed for the joint description of multiphoton and multimode light undergoing Gaussian transformations. The resulting analytical tools enable one to explore interfaces of different photonic quantum-information-processing platforms. A numerical simulation of unified sampling is carried out, benchmarking its performance, complexity, and scalability. Entanglement is characterized to exemplify the generation of quantum correlations from the nonlinear interactions of a unified sampler.&lt;/jats:p&gt;</bibo:abstract>
        <bibo:volume>7</bibo:volume>
        <bibo:issue>4</bibo:issue>
        <dc:publisher>American Physical Society (APS)</dc:publisher>
        <bibo:doi rdf:resource="10.1103/8hy1-m5gg" />
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