from typing import Optional, Any

class NeuromorphicCache:
    def __init__(self, size: str):
        self.size = size

    async def get(self, key: str) -> Any:
        # Implementation would go here
        pass

class QuantumInspiredCache:
    def __init__(self, size: str):
        self.size = size

    async def get(self, key: str) -> Any:
        # Implementation would go here
        pass

class DistributedCache:
    def __init__(self, size: str):
        self.size = size

    async def get(self, key: str) -> Any:
        # Implementation would go here
        pass

class CacheCoherencyManager:
    def determine_optimal_cache(self, key: str) -> int:
        # Implementation would go here
        return 1  # Default to L1 cache

class MemoryHierarchy:
    def __init__(self):
        self.l1_cache = NeuromorphicCache(size="64GB")
        self.l2_cache = QuantumInspiredCache(size="256GB")
        self.l3_cache = DistributedCache(size="1TB")
        self.cache_manager = CacheCoherencyManager()

    async def access_memory(self, key: str, level: Optional[int] = None) -> Any:
        if level == 1:
            return await self.l1_cache.get(key)
        elif level == 2:
            return await self.l2_cache.get(key)
        elif level == 3:
            return await self.l3_cache.get(key)

        return await self._smart_cache_access(key)

    async def _smart_cache_access(self, key: str) -> Any:
        cache_decision = self.cache_manager.determine_optimal_cache(key)
        if cache_decision == 1:
            return await self.l1_cache.get(key)
        elif cache_decision == 2:
            return await self.l2_cache.get(key)
        elif cache_decision == 3:
            return await self.l3_cache.get(key)
        else:
            raise ValueError(f"Invalid cache level: {cache_decision}")