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The hybrid tensor network (hTN) abstraction is introduced—a unified representation capturing quantum-classical computation—realized in qTPU, an end-to-end sys-tem comprising: the qTPU programming model for declarative hybrid computation specification; the qTPU compiler for holistic hTN optimization balancing classical...
Oraqle is introduced, an end-to-end benchmarking framework that evaluates qubit-state readout and its impact on QEC performance across real experimentally extracted qubit-state-readout datasets, state-of-the-art ML discriminators, multiple QEC codes, and hardware regimes spanning current to projected devices.
Zero-G is presented, a strong decoder designed for use alongside pre-decoders that achieves a $10\times$ latency improvement over existing strong decoders at matching accuracy, with worst-case sub-350ns decoding at code distances up to d=15, while scaling to 640 logical qubits on a single 128-core CPU and 32 logical qu...
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