



'''simple docstring'''



import qiskit



def      _A				(      _lowerCAmelCase = 2    ):



							"""simple docstring"""



							__lowercase						=qubits

							# Using Aer's simulator
							__lowercase						=qiskit.Aer.get_backend('aer_simulator'    )

							# Creating a Quantum Circuit acting on the q register
							__lowercase						=qiskit.QuantumCircuit(_lowerCAmelCase     ,      _lowerCAmelCase    )

							# Adding a H gate on qubit 0 (now q0 in superposition)
							circuit.h(0    )

							for i in range(1     ,      _lowerCAmelCase    ):
														# Adding CX (CNOT) gate
														circuit.cx(i - 1     ,      _lowerCAmelCase    )

							# Mapping the quantum measurement to the classical bits
							circuit.measure(list(range(_lowerCAmelCase    )    )     ,      list(range(_lowerCAmelCase    )    )    )

							# Now measuring any one qubit would affect other qubits to collapse
							# their super position and have same state as the measured one.

							# Executing the circuit on the simulator
							__lowercase						=qiskit.execute(_lowerCAmelCase     ,      _lowerCAmelCase     ,      shots=1_000    )

							return job.result().get_counts(_lowerCAmelCase    )


if __name__ == "__main__":
		print(f"Total count for various states are: {quantum_entanglement(3)}")





import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


_UpperCAmelCase					: Optional[int]      =       HUGGINGFACE_HUB_CACHE


_UpperCAmelCase					: List[str]      =       "config.json"
_UpperCAmelCase					: Union[str, Any]      =       "diffusion_pytorch_model.bin"
_UpperCAmelCase					: List[Any]      =       "diffusion_flax_model.msgpack"
_UpperCAmelCase					: Optional[Any]      =       "model.onnx"
_UpperCAmelCase					: int      =       "diffusion_pytorch_model.safetensors"
_UpperCAmelCase					: Optional[Any]      =       "weights.pb"
_UpperCAmelCase					: Tuple      =       "https://huggingface.co"
_UpperCAmelCase					: Union[str, Any]      =       default_cache_path
_UpperCAmelCase					: Optional[Any]      =       "diffusers_modules"
_UpperCAmelCase					: List[Any]      =       os.getenv("HF_MODULES_CACHE", os.path.join(hf_cache_home, "modules"))
_UpperCAmelCase					: Tuple      =       ["fp16", "non-ema"]
_UpperCAmelCase					: Any      =       ".self_attn"
