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This release matters most to quantum developers choosing a programming stack. Qrisp's high-level abstractions, such as typed quantum variables and automatic uncomputation, could reduce the hardware-specific work that currently slows experimentation across trapped-ion and superconducting backends. Readers should still watch for how well the compiled output holds up on real devices, since the reported fidelity figures are vendor-specific and not an independent benchmark.
Open Quantum Launches Native Qrisp Integration for High-Level QPU Execution Across IonQ, Rigetti, IQM, and AQT Hardware
Open Quantum has launched a native Qrisp integration, enabling high-level QPU execution across IonQ, Rigetti, IQM, and AQT hardware. This allows developers to compile and execute Qrisp programs directly on physical QPUs without writing vendor-specific gate-level code. The integration simplifies quantum programming by providing software-engineering abstractions, automated qubit allocation, and memory management. The post Open Quantum Launches Native Qrisp Integration for High-Level QPU Execution Across IonQ, Rigetti, IQM, and AQT Hardware appeared first on Quantum Computing Report.
Quantum execution platform Open Quantum (developed by Quantum Rings in partnership with qBitTensor Labs) has released a native software integration for Qrisp, an open-source, high-level quantum programming language maintained under the Eclipse Foundation in collaboration with Fraunhofer FOKUS.…
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