6afdb4b148
Lucidia Core - AI reasoning engines for specialized domains: - Physicist (867 lines) - energy modeling, force calculations - Mathematician (760 lines) - symbolic computation, proofs - Geologist (654 lines) - terrain modeling, stratigraphy - Engineer (599 lines) - structural analysis, optimization - Painter (583 lines) - visual generation, graphics - Chemist (569 lines) - molecular analysis, reactions - Analyst (505 lines) - pattern recognition, insights - Plus: architect, researcher, mediator, speaker, poet, navigator Features: - FastAPI wrapper with REST endpoints for each agent - CLI with `lucidia list`, `lucidia run`, `lucidia api` - Codex YAML configurations for agent personalities - Quantum engine extensions 12,512 lines of Python across 91 files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
"""Backend interfaces for Quantum ML.
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Currently only the local Aer CPU simulator is implemented. GPU support is
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stubbed out and disabled unless ``LUCIDIA_QML_GPU`` is set.
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"""
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from __future__ import annotations
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import os
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from abc import ABC, abstractmethod
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from typing import Any
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from qiskit import QuantumCircuit
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class QuantumBackend(ABC):
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"""Abstract quantum backend."""
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@abstractmethod
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def run(self, circuit: QuantumCircuit, shots: int = 1024, seed: int | None = None) -> Any:
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"""Execute a circuit and return the raw result."""
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class AerCPUBackend(QuantumBackend):
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"""Qiskit Aer CPU simulator backend."""
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def __init__(self) -> None:
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from qiskit_aer import AerSimulator
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self.simulator = AerSimulator(method="automatic")
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def run(self, circuit: QuantumCircuit, shots: int = 1024, seed: int | None = None) -> Any:
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if seed is not None:
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circuit = circuit.copy()
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circuit.seed_simulator(seed)
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job = self.simulator.run(circuit, shots=shots)
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return job.result()
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class AerGPUBackend(AerCPUBackend):
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"""Stub GPU backend. Requires CUDA and qiskit-aer-gpu."""
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def __init__(self) -> None:
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if os.getenv("LUCIDIA_QML_GPU", "off").lower() not in {"1", "true", "on"}:
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raise RuntimeError("GPU backend disabled")
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super().__init__()
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try:
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self.simulator.set_options(device="GPU") # type: ignore[attr-defined]
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except Exception as exc: # pragma: no cover - fallback path
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raise RuntimeError("GPU backend not available") from exc
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