import pyvisa  # For controlling the microwave generator
import nidaqmx  # For reading data from the DAQ card
from qiskit import QuantumCircuit, transpile, Aer, execute
import numpy as np

# ✅ Constants for BSM-SG interactions with Yb³⁺
MAGNETIC_MOMENT_YB = -1.31 * 9.274e-24  # J/T (Bohr magneton)
PLANCK_CONST = 6.626e-34  # J·s
YB_TRANSITION_FREQ = 10e9  # Hz (~10 GHz microwave transition)
MAGNETIC_FIELD = 0.01  # ~100 Gauss (0.01 T)

# ✅ Calculate the spin transition energy for Yb³⁺ ions
def spin_transition_energy(magnetic_field, moment):
    return (moment * magnetic_field) / PLANCK_CONST

transition_energy = spin_transition_energy(MAGNETIC_FIELD, MAGNETIC_MOMENT_YB)

print(f"Yb³⁺ spin transition frequency: {transition_energy:.3e} Hz")

# ✅ Connect to the microwave generator (via USB/GPIB)
rm = pyvisa.ResourceManager()
microwave_gen = rm.open_resource("USB0::0x1AB1::0x0642::DG4D215000000::INSTR")  # Example address

# ✅ Configure the microwave generator using BSM-SG parameters
microwave_gen.write(f"FREQ {transition_energy}Hz")  # Frequency calculated from BSM-SG theory
microwave_gen.write("POW -10DBM")  # Output power for ion manipulation
microwave_gen.write("OUTP ON")  # Turn on the microwave output

# ✅ Create a quantum circuit with 16 qubits (Yb³⁺ ions)
qubits = 16
qc = QuantumCircuit(qubits, qubits)

for i in range(15):
    qc.h(i)  # Hadamard gate for superposition
    qc.cx(i, i+1)  # CNOT gate for entanglement

# ✅ Time evolution through magnetic-optical interactions
num_steps = 10
for _ in range(num_steps):
    for i in range(qubits):
        qc.rz(transition_energy * 1e-9, i)  # Phase rotation based on Yb³⁺ transition energy
        qc.ry(0.1 * np.pi, i)  # Laser-induced rotation (1030 nm)
        qc.rx(0.2 * np.pi, i)  # Microwave correction (~10 GHz)

# ✅ State readout using the DAQ card
with nidaqmx.Task() as task:
    task.ai_channels.add_ai_voltage_chan("Dev1/ai0")
    voltage = task.read()

# ✅ Analyze the results in Qiskit
backend = Aer.get_backend('qasm_simulator')
transpiled_qc = transpile(qc, backend)
job = backend.run(transpiled_qc, shots=8192)
results = job.result()
counts = results.get_counts()

print(f"Measured voltage from DAQ: {voltage} V")
print(f"Quantum circuit results: {counts}")

# ✅ Turn off the microwave generator
microwave_gen.write("OUTP OFF")