"""
Quantum Memory Management

This module provides memory optimization techniques for quantum computing,
including memory pooling and efficient qubit allocation.
"""

# Minimal memory management implementations replacing unresolved imports
class QuantumMemoryPool:
    """Placeholder for QuantumMemoryPool implementation."""
    pass

class QuantumMemoryManager:
    """Minimal memory manager implementation."""
    def __init__(self):
        # Initialize memory pool and handle counter
        self._pool = {}
        self._next_handle = 1

    def allocate(self, size):
        """Allocate a new memory handle of given size (size unused). Returns a unique handle."""
        handle = self._next_handle
        self._next_handle += 1
        self._pool[handle] = None
        return handle

    def _is_valid_handle(self, handle):
        """Check if the given handle is valid."""
        return handle in self._pool

    def store(self, handle, data):
        """Store data under the given handle. Returns True on success."""
        if not self._is_valid_handle(handle):
            return False
        self._pool[handle] = data
        return True

    def retrieve(self, handle):
        """Retrieve data stored under the given handle."""
        return self._pool.get(handle, None)

    def release(self, handle):
        """Release the memory associated with the handle. Returns True if released."""
        if not self._is_valid_handle(handle):
            return False
        del self._pool[handle]
        return True

    def cleanup(self):
        """Cleanup all memory handles."""
        self._pool.clear()

def optimize_circuit_memory(circuit, **kwargs):
    """Placeholder for optimize_circuit_memory implementation."""
    return circuit

# Export public API
__all__ = [
    'QuantumMemoryPool',
    'QuantumMemoryManager',
    'optimize_circuit_memory',
] 