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This beta release marks a significant step in bridging the gap between D-Wave's specialized annealing hardware and universal gate-model capabilities, specifically by simulating their dual-rail architecture for error correction. By enabling mid-circuit error detection and real-time feedback control within a 21-qubit environment, the tool allows researchers to develop noise-resilient quantum machine learning algorithms before physical deployment. This initiative directly addresses the critical challenge of reducing overhead in quantum error correction, offering practical pathways for financial institutions and research centers to optimize QML workloads under realistic hardware constraints.

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D-Wave Launches Gate-Model Simulator Beta Program Featuring 21-Qubit Dual-Rail Erasure Emulation

Quantum Computing ReportOctober 1, 20262 min read

D-Wave has launched a beta program for its gate-model quantum computing simulator, accessible via its Leap quantum cloud service. The simulator supports up to 21 qubits with both ideal and hardware emulation modes and models D-Wave's dual-rail superconducting cavity qubit architecture, which uses hardware-level error detection. The program aims to evaluate mid-circuit error detection, test real-time classical feedback control, and establish design rules for quantum machine learning algorithms under hardware noise constraints, with initial participants including financial institutions and research centers. The post D-Wave Launches Gate-Model Simulator Beta Program Featuring 21-Qubit Dual-Rail Erasure Emulation appeared first on Quantum Computing Report.

Dual-platform quantum computing provider D-Wave Quantum Inc. (NASDAQ: QBTS) has launched a beta program for its gate-model quantum computing simulator. Accessible via D-Wave’s Leap quantum cloud service and Ocean software development kit (SDK), the simulator provides…

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