aiqbench analysis
This partnership bridges the gap between theoretical quantum algorithms and physical silicon spin-qubit constraints by offering a hardware-aware emulator within the qBraid ecosystem. By incorporating empirical noise models and non-Markovian decoherence, Quobly enables developers to validate applications on realistic semiconductor architectures before their 10-qubit Pioneer QPU reaches commercial availability. This infrastructure advancement is critical for accelerating the development roadmap toward large-scale VLSI silicon quantum processors.
Quobly Integrates Alloy Forge Emulator with qBraid Cloud to Accelerate Silicon Spin-Qubit Application Development

Quobly has partnered with qBraid to integrate its Alloy Forge emulator into the qBraid Cloud, allowing developers to test silicon spin-qubit applications under realistic semiconductor constraints. This collaboration provides a platform for validating quantum applications before Quobly's 10-qubit Alloy Pioneer QPU is commercially released, utilizing a 15-qubit emulation with a native RZZ gate set and empirical noise models. This initiative is a strategic step towards Quobly's long-term goal of developing VLSI silicon quantum processors with one million qubits by 2032. The post Quobly Integrates Alloy Forge Emulator with qBraid Cloud to Accelerate Silicon Spin-Qubit Application Development appeared first on Quantum Computing Report.
French silicon quantum computer developer Quobly and quantum software platform qBraid have expanded cloud access to Alloy Forge, Quobly’s hardware-aware quantum emulation environment. Integrated directly into the qBraid ecosystem, the platform enables global…
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