https://pypi.org/project/qonscious/ Recent updates to the Python Package Index for qonscious en https://pypi.org/project/qonscious/0.1.4/ Qonscious is a runtime framework designed to support conditional execution of quantum circuits based on resource introspection. It helps you build quantum applications that are aware of backend conditions — such as entanglement, coherence, or fidelity — before execution. casco@lifia.info.unlp.edu.ar, holik@fisica.unlp.edu.ar, mlammers@lifia.info.unlp.edu.ar Sun, 23 Nov 2025 12:50:18 GMT https://pypi.org/project/qonscious/0.1.3/ Qonscious is a runtime framework designed to support conditional execution of quantum circuits based on resource introspection. It helps you build quantum applications that are aware of backend conditions — such as entanglement, coherence, or fidelity — before execution. casco@lifia.info.unlp.edu.ar, holik@fisica.unlp.edu.ar, mlammers@lifia.info.unlp.edu.ar Fri, 10 Oct 2025 13:40:05 GMT https://pypi.org/project/qonscious/0.1.2/ Qonscious is a runtime framework designed to support conditional execution of quantum circuits based on resource introspection. It helps you build quantum applications that are aware of backend conditions — such as entanglement, coherence, or fidelity — before execution. casco@lifia.info.unlp.edu.ar, holik@fisica.unlp.edu.ar, mlammers@lifia.info.unlp.edu.ar Fri, 10 Oct 2025 13:25:09 GMT https://pypi.org/project/qonscious/0.1.1/ Qonscious is a runtime framework designed to support conditional execution of quantum circuits based on resource introspection. It helps you build quantum applications that are aware of backend conditions — such as entanglement, coherence, or fidelity — before execution. casco@lifia.info.unlp.edu.ar, holik@fisica.unlp.edu.ar, mlammers@lifia.info.unlp.edu.ar Mon, 08 Sep 2025 19:42:53 GMT https://pypi.org/project/qonscious/0.1.0/ Qonscious is a runtime framework designed to support conditional execution of quantum circuits based on resource introspection. It helps you build quantum applications that are aware of backend conditions — such as entanglement, coherence, or fidelity — before execution. casco@lifia.info.unlp.edu.ar, holik@fisica.unlp.edu.ar, mlammers@lifia.info.unlp.edu.ar Mon, 08 Sep 2025 16:29:54 GMT