|
| 1 | +""" |
| 2 | +Time evolution of Heisenberg model realized by Trotter decomposition |
| 3 | +""" |
| 4 | + |
| 5 | +import numpy as np |
| 6 | +import tensorcircuit as tc |
| 7 | + |
| 8 | +K = tc.set_backend("tensorflow") |
| 9 | +tc.set_dtype("complex128") |
| 10 | + |
| 11 | +xx = tc.gates._xx_matrix |
| 12 | +yy = tc.gates._yy_matrix |
| 13 | +zz = tc.gates._zz_matrix |
| 14 | + |
| 15 | +nqubit = 4 |
| 16 | +t = 1.0 |
| 17 | +tau = 0.1 |
| 18 | + |
| 19 | + |
| 20 | +def Trotter_step_unitary(input_state, tau, nqubit): |
| 21 | + c = tc.Circuit(nqubit, inputs=input_state) |
| 22 | + for i in range(nqubit - 1): ### U_zz |
| 23 | + c.exp1(i, i + 1, theta=tau, unitary=zz) |
| 24 | + for i in range(nqubit - 1): ### U_yy |
| 25 | + c.exp1(i, i + 1, theta=tau, unitary=yy) |
| 26 | + for i in range(nqubit - 1): ### U_xx |
| 27 | + c.exp1(i, i + 1, theta=tau, unitary=xx) |
| 28 | + TSUstate = c.state() ### return state U(τ)|ψ_i> |
| 29 | + z0 = c.expectation_ps(z=[0]) |
| 30 | + return TSUstate, z0 |
| 31 | + |
| 32 | + |
| 33 | +TSU_vmap = tc.backend.jit( |
| 34 | + tc.backend.vmap( |
| 35 | + Trotter_step_unitary, |
| 36 | + vectorized_argnums=0, |
| 37 | + ) |
| 38 | +) |
| 39 | + |
| 40 | +ninput = 2 |
| 41 | +input_state = np.zeros((ninput, 2 ** nqubit)) |
| 42 | +input_state[0, 0] = 1.0 |
| 43 | +input_state[1, -1] = 1.0 |
| 44 | + |
| 45 | +for _ in range(int(t / tau)): |
| 46 | + input_state, z0 = TSU_vmap(input_state, tau, nqubit) |
| 47 | + print("z: ", z0) |
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