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>
21 lines
541 B
Python
21 lines
541 B
Python
"""Circuit search scaffolding."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import List
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from third_party import torchquantum as tq
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@dataclass
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class SearchSpace:
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layers: List[tq.RandomLayer] = field(default_factory=list)
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def add_layer(self, layer: tq.RandomLayer) -> None:
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self.layers.append(layer)
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def noise_aware_score(circuit: SearchSpace, noise: float | None = None) -> float:
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"""Placeholder for future noise-aware scoring."""
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return float(len(circuit.layers))
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