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0108860bff
Create comprehensive research-lab pack structure with mathematical and quantum computing modules from blackroad-prism-console: Math Modules: - hilbert_core.py: Hilbert space symbolic reasoning - collatz/: Distributed Collatz conjecture verification - linmath/: Linear mathematics C library - lucidia_math_forge/: Symbolic proof engine - lucidia_math_lab/: Experimental mathematics Quantum Modules: - lucidia_quantum/: Quantum core - quantum_engine/: Circuit simulation Experiments: - br_math/: Gödel gap, quantum experiments Includes pack.yaml manifest and comprehensive README. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
"""Quantum ML module for Lucidia.
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This package is optional and guarded by the ``LUCIDIA_QML`` environment
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variable. Only local simulators are used; remote providers are disabled
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when ``LUCIDIA_QML_REMOTE`` is unset or false.
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"""
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from __future__ import annotations
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import os
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from typing import Dict, Type
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from .backends import AerCPUBackend, QuantumBackend
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_QML_ENABLED = os.getenv("LUCIDIA_QML", "off").lower() in {"1", "true", "on"}
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_REMOTE_OK = os.getenv("LUCIDIA_QML_REMOTE", "false").lower() in {"1", "true", "on"}
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# Registry of available backends
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_BACKENDS: Dict[str, Type[QuantumBackend]] = {"aer_cpu": AerCPUBackend}
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def is_enabled() -> bool:
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"""Return True if the Quantum ML feature flag is on."""
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return _QML_ENABLED
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def get_backend(name: str = "aer_cpu") -> QuantumBackend:
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"""Instantiate and return a backend by name.
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Parameters
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----------
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name:
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Registered backend key. Defaults to ``aer_cpu``.
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"""
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if not _QML_ENABLED:
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raise RuntimeError("Quantum ML disabled")
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if not _REMOTE_OK and name not in _BACKENDS:
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raise RuntimeError("Remote backends are disabled")
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backend_cls = _BACKENDS.get(name)
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if backend_cls is None:
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raise ValueError(f"Unknown backend '{name}'")
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return backend_cls()
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