import scipy import qutip as qt import numpy as np import vpython as vp vp.scene.width = 900 vp.scene.height = 600 ################################################################################ def qubit_xyz(spin): return [qt.expect(qt.sigmax(), spin),\ qt.expect(qt.sigmay(), spin),\ qt.expect(qt.sigmaz(), spin)] ################################################################################ spin_n = 2 clock_n = 7 ################################################################################ spin_initial = qt.rand_ket(spin_n) spin_H = qt.rand_herm(spin_n) dt = (2*np.pi)/clock_n spin_U = (-1j*spin_H*dt).expm() psi_t = lambda t: (-1j*spin_H*t).expm()*spin_initial spin_history = [psi_t(t*dt) for t in range(clock_n)] ################################################################################ H = sum([qt.tensor(spin_U, qt.basis(clock_n, t+1)*qt.basis(clock_n, t).dag())\ +qt.tensor(spin_U.dag(), qt.basis(clock_n, t)*qt.basis(clock_n, t+1).dag())\ for t in range(clock_n-1)]) HL, HV = H.eigenstates() H_projs = [v*v.dag() for v in HV] Z = qt.sigmaz() ZL, ZV = Z.eigenstates() Z_projs = [qt.tensor(v*v.dag(), qt.identity(clock_n)) for v in ZV] TIME_projs = [qt.basis(clock_n,i)*qt.basis(clock_n,i).dag() for i in range(clock_n)] SHIFT = np.array([[1 if j == i-1 or (i == 0 and j == clock_n-1) else 0 for j in range(clock_n)] for i in range(clock_n)]) SHIFT = qt.tensor(qt.identity(spin_n), qt.Qobj(SHIFT)) ################################################################################ initial = qt.tensor(spin_initial, qt.basis(clock_n, 0)) state = initial.copy() spin_part = state.ptrace(0) clock_part = state.ptrace(1) SL, SV = spin_part.eigenstates() clock_probs = np.array([(clock_part*TIME_projs[i]).tr() for i in range(clock_n)]) ################################################################################ colors = [vp.color.red, vp.color.orange, vp.color.yellow,\ vp.color.green, vp.color.white, vp.color.magenta] vspin_sphere = vp.sphere(pos=vp.vector(-3,0,0),radius=2,\ color=vp.color.blue, opacity=0.4) vspin_layers = [vp.sphere(pos=vspin_sphere.pos+vspin_sphere.radius*vp.vector(*qubit_xyz(SV[i])),\ color=colors[i], radius=0.5, opacity=SL[i]) for i in range(spin_n)] vspin_arrow = vp.arrow(pos=vspin_sphere.pos, axis=vspin_sphere.radius*vp.vector(*qubit_xyz(spin_part))) ################################################################################ vclock_ring = vp.ring(pos=vp.vector(2,0,0), axis=vp.vector(0,0,1),\ color=vp.color.red,\ radius=1, thickness=0.1, opacity=0.5) roots_of_unity = [np.exp(2*np.pi*1j*i/clock_n) for i in range(clock_n)] directions = [vp.vector(roots_of_unity[i].real,\ roots_of_unity[i].imag,\ 0) for i in range(clock_n)] vclock_arrows = [vp.arrow(pos=vclock_ring.pos,\ axis=directions[i],\ opacity=clock_probs[i]) for i in range(clock_n)] vprojarrow = vp.arrow(pos=vclock_ring.pos, color=vp.color.white, opacity=0.7,\ visible=False) ################################################################################ for t in range(clock_n): moment_sphere = vp.sphere(pos=vclock_ring.pos+2*directions[t],\ radius=0.5,\ color=vp.color.blue,\ opacity=0.5) moment_stars = vp.sphere(pos=moment_sphere.pos+0.5*vp.vector(*qubit_xyz(spin_history[t])),\ radius=0.1) ################################################################################ npdirections = [np.array([roots_of_unity[i].real,\ roots_of_unity[i].imag,\ 0]) for i in range(clock_n)] expected_time = sum([npdirections[i]*clock_probs[i] for i in range(clock_n)]) vexpected_time = vp.sphere(color=vp.color.red, radius=0.1,\ pos=vp.vector(*expected_time), opacity=0.5) ################################################################################ def display_help(): print(\ """ c: measure clock v: measure spin-z b: measure total energy r: toggle clock proj e: tick back t: tick forward a/d: x-rot s/w: y-rot z/x: z-rot 9/0: unshift/shift clock q: toggle evolution p: initial state o: random state h: display this """) display_help() def keyboard(event): global clock_probs, TIME_projs, state, Z_projs, ZV, ZL, HL, H_projs, SHIFT, display_proj, pointing_to, clock_n, evolving, initial key = event.key if key == "c": choice = np.random.choice(list(range(clock_n)), p=np.array(clock_probs)/sum(np.array(clock_probs))) state = (qt.tensor(qt.identity(spin_n), TIME_projs[choice])*state).unit() print("clock time: %.4f" % (choice)) elif key == "v": probs = np.array([(state*state.dag()*proj).tr() for proj in Z_projs]).real choice = np.random.choice(list(range(len(ZV))), p=probs/sum(probs)) state = (Z_projs[choice]*state).unit() print("spin Z eigenvalue: %.4f" % (ZL[choice])) elif key == "b": probs = np.array([(state*state.dag()*proj).tr() for proj in H_projs]).real choice = np.random.choice(list(range(len(H_projs))), p=probs/sum(probs)) state = (H_projs[choice]*state).unit() print("energy eigenvalue: %.4f" % (HL[choice])) elif key == "9": state = (SHIFT*state).unit() elif key == "0": state = (SHIFT.dag()*state).unit() elif key == "r": if display_proj == False: display_proj = True else: display_proj = False elif key == "e": pointing_to -= 1 if pointing_to < 0: pointing_to = clock_n-1 elif key == "t": pointing_to += 1 if pointing_to >= clock_n: pointing_to = 0 elif key == "a": state = qt.tensor((-1j*qt.sigmax()*0.1).expm(), qt.identity(clock_n))*state elif key == "d": state = qt.tensor((1j*qt.sigmax()*0.1).expm(), qt.identity(clock_n))*state elif key == "s": state = qt.tensor((-1j*qt.sigmay()*0.1).expm(), qt.identity(clock_n))*state elif key == "w": state = qt.tensor((1j*qt.sigmay()*0.1).expm(), qt.identity(clock_n))*state elif key == "z": state = qt.tensor((-1j*qt.sigmaz()*0.1).expm(), qt.identity(clock_n))*state elif key == "x": state = qt.tensor((1j*qt.sigmaz()*0.1).expm(), qt.identity(clock_n))*state elif key == "q": if evolving == True: evolving = False else: evolving = True elif key == "p": state = initial elif key == "o": state_ = qt.rand_ket(state.shape[0]) state_.dims = state.dims state = state_ elif key == "h": display_help() vp.scene.bind('keydown', keyboard) ################################################################################ evolving = True display_proj = False pointing_to = 0 DT = 0.005 U = (-1j*DT*H).expm() while True: if evolving: state = U*state spin_part, clock_part = None, None if display_proj: vprojarrow.visible = True vprojarrow.axis = 1.5*vp.vector(directions[pointing_to]) projected_state = qt.tensor(qt.identity(spin_n), TIME_projs[pointing_to])*state if projected_state.norm() != 0: projected_state = projected_state.unit() spin_part = projected_state.ptrace(0) clock_part = state.ptrace(1) else: continue else: vprojarrow.visible = False spin_part = state.ptrace(0) clock_part = state.ptrace(1) SL, SV = spin_part.eigenstates() clock_probs = [(clock_part*TIME_projs[i]).tr() for i in range(clock_n)] for i in range(clock_n): vclock_arrows[i].opacity = clock_probs[i] expected_time = sum([npdirections[i]*clock_probs[i] for i in range(clock_n)]) vexpected_time.pos = vp.vector(*expected_time)+vclock_ring.pos for i in range(spin_n): vspin_layers[i].pos = vspin_sphere.pos + vspin_sphere.radius*vp.vector(*qubit_xyz(SV[i])) vspin_layers[i].opacity = SL[i] vspin_arrow.axis = vspin_sphere.radius*vp.vector(*qubit_xyz(spin_part))