| import time
|
| import jax
|
| import jax.numpy as jnp
|
| import numpy as np
|
| import pandas as pd
|
| import dense_evolution as de
|
|
|
| jax.config.update("jax_enable_x64", True)
|
|
|
| N_Q = 12
|
| sim = de.DenseSVSimulator(n_qubits=N_Q, use_gpu=False, use_float32=False)
|
|
|
| punti_g = np.linspace(0.0, 2.5, 3500)
|
| risultati = []
|
|
|
| print("============================================================")
|
| print(f"🔬 ULTRA-HIGH RESOLUTION QUANTUM ISING SCAN: 3500 STEPS")
|
| print("============================================================")
|
|
|
| def esegui_circuito_ising_reale(g_campo):
|
| ansatz_circuit = []
|
|
|
| for q in range(N_Q - 1):
|
| ansatz_circuit.append(['cx', q, q + 1])
|
| ansatz_circuit.append(['rz', q + 1, float(1.2)])
|
| ansatz_circuit.append(['cx', q, q + 1])
|
|
|
| for q in range(N_Q):
|
| ansatz_circuit.append(['rx', q, float(g_campo * 0.6)])
|
|
|
| sim.set_initial_state()
|
| sim.run_circuit_jit_beast_mode(ansatz_circuit)
|
| return sim.get_probabilities()
|
|
|
| def calcola_vera_correlazione_zz(prob_array):
|
| dim = len(prob_array)
|
| indici = np.arange(dim)
|
| somma_zz = 0.0
|
|
|
| for q in range(N_Q - 1):
|
| bit_i = (indici & (1 << q)) >> q
|
| bit_j = (indici & (1 << (q + 1))) >> (q + 1)
|
| parita = np.where(bit_i == bit_j, 1.0, -1.0)
|
| somma_zz += float(np.sum(prob_array * parita))
|
|
|
| return somma_zz / (N_Q - 1)
|
|
|
| t_global_start = time.perf_counter()
|
|
|
| for idx, g in enumerate(punti_g):
|
| prob = esegui_circuito_ising_reale(g)
|
| E_zz = calcola_vera_correlazione_zz(prob)
|
|
|
| if (idx + 1) % 250 == 0 or idx == 0 or idx == len(punti_g) - 1:
|
| print(f"Step {idx+1:04d}/3500 | Campo g: {g:.3f} | Correlazione <H_zz>: {E_zz:+.6f}")
|
|
|
| risultati.append({
|
| "Campo_g": g,
|
| "Expectation_H_zz": E_zz
|
| })
|
|
|
| df = pd.DataFrame(risultati)
|
| df.to_csv("transizione_fase_ising.csv", index=False)
|
|
|
| tempo_totale = time.perf_counter() - t_global_start
|
| print("============================================================")
|
| print(f"✅ SCANSIONE ULTRA-RISOLTA COMPLETATA IN {tempo_totale:.2f} s")
|
| print("============================================================")
|
|
|
|
|
