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Among the challenges for the developer is navigating a cost model in which conventional optimizations for linear algebra, such as subexpression reus"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Cobble enables developers to express and manipulate the quantum representations of matrices, known as block encodings, using high-level notation that automatically compiles to correct quantum circuits, with analyses and optimizations that reduce overhead and generate efficient circuits using state-of-the-art techniques such as the quantum singular value transformation, showing 2.6x-25.4x speedups on benchmarks.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the high-level notation and automatic compilation process in Cobble can produce circuits that are both semantically correct and measurably more efficient than hand-written implementations across the evaluated application 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