def main(N, cache_dir=None):
'''Generate and test a problem with N spins'''
if WIRE:
h, J, gam = generate_wire(N)
else:
h, J, gam = generate_prob(N)
t = time()
if N < 18:
print('Exact solution...')
e_vals, e_vecs = solve(h, J, gamma=gam)
print(e_vals[:2])
print('Runtime: {0:.3f} (s)'.format(time()-t))
t = time()
solver = RP_Solver(h, J, gam, verbose=False, cache_dir=cache_dir)
solver.solve()
print('\n'*3)
print('New RP solution:')
print(solver.node.Es[:2])
print('Runtime: {0:.3f} (s)'.format(time()-t))
msolver = RP_Solver(h, J, gam)
t = time()
modes = solver.node.modes
msolver.mode_solve(modes)
print('\n'*3)
print('Mode solved:')
print(msolver.node.Es[:2])
print('Runtime: {0:.3f} (s)'.format(time()-t))
f = lambda x: np.round(x,2)
print(solver.node.Hx.shape)
print(msolver.node.Hx.shape)
Dx = solver.node.Hx - msolver.node.Hx
print('Dx diffs...')
for i,j in np.transpose(np.nonzero(Dx)):
print('\t{0}:{1} :: {2:.3f}'.format(i,j,Dx[i,j]))
# resolve
for _ in range(TRIALS):
t = time()
nx, nz = solver.ground_fields()
solver = RP_Solver(h, J, gam, nx=nx, nz=nz, verbose=False, cache_dir=cache_dir)
solver.solve()
print('\n'*3)
print('New RP solution:')
print(solver.node.Es[:2])
print('Runtime: {0:.3f} (s)'.format(time()-t))
def new_gamma_sweep(N, gmax=10.):
''' '''
rp_times = []
sp_times = []
N_steps = 50
gammas = np.linspace(1e-5,1, N_steps)
eps = np.linspace(1,1e-5, N_steps)
h, J = gen_wire_coefs(N)
for i, (gam,ep) in enumerate(zip(gammas,eps)):
sys.stdout.write('\r{0:.1f}%: {1}'.format(i*100/N_steps, i))
sys.stdout.flush()
t = time()
for _ in range(TRIALS):
sys.stdout.write('.')
sys.stdout.flush()
solver = RP_Solver(ep*h, ep*J, gam)
solver.solve()
rp_times.append((time()-t)/TRIALS)
print(rp_times[-1])
if N <= SP_MAX:
t = time()
for _ in range(TRIALS):
sys.stdout.write(',')
sys.stdout.flush()
e_vals, e_vecs = solve(ep*h, ep*J, gamma=gam)
sp_times.append((time()-t)/TRIALS)
plt.figure('Gamma-Sweep')
plt.plot(gammas, rp_times, 'g', linewidth=LW)
if sp_times:
plt.plot(gammas, sp_times, 'b', linewidth=LW)
plt.xlabel('s', fontsize=GS)
plt.ylabel('Run-time (s)', fontsize=FS)
plt.text(0.28, .6, 'H = s$H_T$ + (1-s) $H_P$', fontsize=20)
if SAVE:
plt.savefig(os.path.join(IMG_DIR, 'rp_wire_gamma_{0}.eps'.format(N)),
bbox_inches='tight')
plt.show()
def wire_size_sweep(N_max):
'''compute ground and first excited band for up to N_max length
wires'''
rp_times = {'naive': [], 'local': [], 'global': []}
sp_times = []
Ns = np.arange(2, N_max + 1, int(np.ceil((N_max - 1) * 1. / 40)))
for N in Ns:
sys.stdout.write('\r{0:.1f}%: {1}'.format((N - 1) * 100 / (N_max - 1),
N))
sys.stdout.flush()
h, J = gen_wire_coefs(N)
for k in rp_times:
if k == 'naive':
chdir = None
elif k == 'global':
chdir = CACHE
elif k == 'local':
chdir = os.path.join(CACHE, str(N))
t = time()
if False:
e_vals, e_vecs, modes = rp_solve(h,
J,
gam=0.01,
cache_dir=chdir)
else:
solver = RP_Solver(h, J, gam=0, cache_dir=chdir)
solver.solve()
rp_times[k].append(time() - t)
if N <= 0:
t = time()
e_vals, e_vecs = solve(h, J, gamma=0.1)
sp_times.append(time() - t)
plt.figure('Run-times')
plt.plot(Ns, rp_times['naive'], 'b', linewidth=2)
plt.plot(Ns, rp_times['local'], 'g', linewidth=2)
plt.plot(Ns, rp_times['global'], 'r', linewidth=2)
if sp_times:
plt.plot(Ns[:len(sp_times)], sp_times, 'g', linewidth=2)
plt.xlabel('Wire length')
plt.ylabel('Run-time (s)')
plt.legend(['Naive', 'Local', 'Global'], fontsize=FS)
plt.show()
if SAVE:
plt.savefig(os.path.join(IMG_DIR, 'rp_wire_{0}.eps'.format(N_max)),
bbox_inches='tight')
def new_gamma_sweep(N, gmax=10.):
''' '''
rp_times = []
sp_times = []
N_steps = 50
gammas = np.linspace(1e-5, 1, N_steps)
eps = np.linspace(1, 1e-5, N_steps)
h, J = gen_wire_coefs(N)
for i, (gam, ep) in enumerate(zip(gammas, eps)):
sys.stdout.write('\r{0:.1f}%: {1}'.format(i * 100 / N_steps, i))
sys.stdout.flush()
t = time()
for _ in range(TRIALS):
sys.stdout.write('.')
sys.stdout.flush()
solver = RP_Solver(ep * h, ep * J, gam)
solver.solve()
rp_times.append((time() - t) / TRIALS)
print(rp_times[-1])
if N <= SP_MAX:
t = time()
for _ in range(TRIALS):
sys.stdout.write(',')
sys.stdout.flush()
e_vals, e_vecs = solve(ep * h, ep * J, gamma=gam)
sp_times.append((time() - t) / TRIALS)
plt.figure('Gamma-Sweep')
plt.plot(gammas, rp_times, 'g', linewidth=LW)
if sp_times:
plt.plot(gammas, sp_times, 'b', linewidth=LW)
plt.xlabel('s', fontsize=GS)
plt.ylabel('Run-time (s)', fontsize=FS)
plt.text(0.28, .6, 'H = s$H_T$ + (1-s) $H_P$', fontsize=20)
if SAVE:
plt.savefig(os.path.join(IMG_DIR, 'rp_wire_gamma_{0}.eps'.format(N)),
bbox_inches='tight')
plt.show()
def wire_spectrum(N, gmin=0.01, gmax=2.):
'''Calculate spectrum of an N cell wire for a gamma sweep'''
gammas = np.linspace(gmin, gmax, 20)
h, J = gen_wire_coefs(N)
spectrum = []
times = []
for i, gamma in enumerate(gammas):
sys.stdout.write('\r{0:.1f}%'.format(
(i + 1) * 100. / (gammas.size + 1)))
sys.stdout.flush()
t = time()
solver = RP_Solver(h, J, gamma)
solver.solve()
e_vals, e_vecs = solver.node.evd()
# e_vals, e_vecs, modes = rp_solve(h, J, gam=gamma, cache_dir=CACHE)
times.append(time() - t)
spectrum.append(e_vals)
# make square
L = min(len(s) for s in spectrum)
spectrum = [s[:L] for s in spectrum]
spectrum = np.array(spectrum)
plt.figure('Wire spectrum')
grnd = anlyt_grnd(N, gammas)
for n in range(0, int(np.log2(N))):
gaps = anlyt_gaps(N, gammas, n)
for gap in gaps:
plt.plot(gammas, grnd + gap, 'k-', linewidth=2)
plt.plot(gammas, spectrum, 'x', markersize=7, markeredgewidth=2)
plt.xlabel('Gamma', fontsize=FS)
plt.ylabel('Energy', fontsize=FS)
plt.title('{0} cell wire spectrum'.format(N), fontsize=FS)
plt.show(block=False)
plt.figure('Timer')
plt.plot(gammas, times, 'x', markersize=5, markeredgewidth=1.5)
plt.xlabel('Gamma', fontsize=FS)
plt.ylabel('Runtime (s)', fontsize=FS)
plt.title('{0} cell wire spectrum: runtime'.format(N), fontsize=FS)
plt.show()
def wire_spectrum(N, gmin=0.01, gmax=2.):
'''Calculate spectrum of an N cell wire for a gamma sweep'''
gammas = np.linspace(gmin, gmax, 20)
h, J = gen_wire_coefs(N)
spectrum = []
times = []
for i, gamma in enumerate(gammas):
sys.stdout.write('\r{0:.1f}%'.format((i+1)*100./(gammas.size+1)))
sys.stdout.flush()
t = time()
solver = RP_Solver(h, J, gamma)
solver.solve()
e_vals, e_vecs = solver.node.evd()
# e_vals, e_vecs, modes = rp_solve(h, J, gam=gamma, cache_dir=CACHE)
times.append(time()-t)
spectrum.append(e_vals)
# make square
L = min(len(s) for s in spectrum)
spectrum = [s[:L] for s in spectrum]
spectrum = np.array(spectrum)
plt.figure('Wire spectrum')
grnd = anlyt_grnd(N, gammas)
for n in range(0, int(np.log2(N))):
gaps = anlyt_gaps(N, gammas, n)
for gap in gaps:
plt.plot(gammas, grnd+gap, 'k-', linewidth=2)
plt.plot(gammas, spectrum, 'x', markersize=7, markeredgewidth=2)
plt.xlabel('Gamma', fontsize=FS)
plt.ylabel('Energy', fontsize=FS)
plt.title('{0} cell wire spectrum'.format(N), fontsize=FS)
plt.show(block=False)
plt.figure('Timer')
plt.plot(gammas, times, 'x', markersize=5, markeredgewidth=1.5)
plt.xlabel('Gamma', fontsize=FS)
plt.ylabel('Runtime (s)', fontsize=FS)
plt.title('{0} cell wire spectrum: runtime'.format(N), fontsize=FS)
plt.show()
def wire_size_sweep(N_max):
'''compute ground and first excited band for up to N_max length
wires'''
rp_times = {'naive': [], 'local': [], 'global': []}
sp_times = []
Ns = np.arange(2, N_max+1, int(np.ceil((N_max-1)*1./40)))
for N in Ns:
sys.stdout.write('\r{0:.1f}%: {1}'.format((N-1)*100/(N_max-1), N))
sys.stdout.flush()
h, J = gen_wire_coefs(N)
for k in rp_times:
if k=='naive':
chdir = None
elif k == 'global':
chdir = CACHE
elif k == 'local':
chdir = os.path.join(CACHE, str(N))
t = time()
if False:
e_vals, e_vecs, modes = rp_solve(h, J, gam=0.01, cache_dir=chdir)
else:
solver = RP_Solver(h, J, gam=0, cache_dir=chdir)
solver.solve()
rp_times[k].append(time()-t)
if N <= 0:
t = time()
e_vals, e_vecs = solve(h, J, gamma=0.1)
sp_times.append(time()-t)
plt.figure('Run-times')
plt.plot(Ns, rp_times['naive'], 'b', linewidth=2)
plt.plot(Ns, rp_times['local'], 'g', linewidth=2)
plt.plot(Ns, rp_times['global'], 'r', linewidth=2)
if sp_times:
plt.plot(Ns[:len(sp_times)], sp_times, 'g', linewidth=2)
plt.xlabel('Wire length')
plt.ylabel('Run-time (s)')
plt.legend(['Naive', 'Local', 'Global'], fontsize=FS)
plt.show()
if SAVE:
plt.savefig(os.path.join(IMG_DIR, 'rp_wire_{0}.eps'.format(N_max)),
bbox_inches='tight')
def run_rp2(self, rp_steps, caching, cache_dir):
'''Compute the spectrum using the new RP-Solver'''
print('\nRunning New RP-Solver method...')
t = time()
if caching:
cache_dir = CACHE2 if cache_dir is None else cache_dir
else:
cache_dir = None
spectrum = []
for i, (gam, ep) in enumerate(zip(self.gammas, self.eps)):
sys.stdout.write('\r{0:.2f}%'.format(i * 100. / self.nsteps))
sys.stdout.flush()
ep = max(ep, EPS_MIN)
solver = RP_Solver(ep * self.h,
ep * self.J,
gam,
cache_dir=cache_dir)
solver.solve()
e_vals, e_vecs = solver.node.evd()
spectrum.append(list(e_vals))
return spectrum
# split schedule into iso-field steps
rp_steps = max(1, rp_steps)
niso = int(np.ceil(len(self.gammas) * 1. / rp_steps))
isos = []
for i in range(rp_steps):
gams = self.gammas[i * niso:(i + 1) * niso]
eps = self.eps[i * niso:(i + 1) * niso]
isos.append((gams, eps))
# solve spectrum within each iso-step
spectrum = []
i = 0
for gammas, eps in isos:
i += 1
# solve first problem is iso-step
gam, ep = gammas[0], max(eps[0], EPS_MIN)
solver = RP_Solver(ep * self.h,
ep * self.J,
gam,
cache_dir=cache_dir)
solver.solve()
e_vals, e_vecs = solver.node.evd()
spectrum.append(list(e_vals))
nx, nz = solver.get_current_fields()
modes = solver.node.modes
# solve remaining problems is iso-step
for gam, ep in zip(gammas[1:], eps[1:]):
i += 1
sys.stdout.write('\r{0:.2f}%'.format(i * 100. / self.nsteps))
sys.stdout.flush()
ep = max(ep, EPS_MIN)
solver = RP_Solver(ep * self.h,
ep * self.J,
gam,
nx=nx,
nz=nz,
cache_dir=cache_dir)
solver.mode_solve(modes)
spectrum.append(list(solver.node.e_vals))
return spectrum
def new_wire_size_sweep(N_max):
''' '''
rp_times = []
rp_times2 = []
sp_times = []
sp_times2 = []
Ns = np.arange(2, N_max+1)
for N in Ns:
sys.stdout.write('\r{0:.1f}%: {1}'.format((N-1)*100/(N_max-1), N))
sys.stdout.flush()
h, J = gen_wire_coefs(N)
# rp solver
t = time()
for _ in range(TRIALS):
sys.stdout.write(',')
sys.stdout.flush()
solver = RP_Solver(h, J, 0)
solver.solve()
rp_times.append((time()-t)/TRIALS)
# rp solver with gamma=eps
t = time()
for _ in range(TRIALS):
sys.stdout.write('.')
sys.stdout.flush()
solver = RP_Solver(h, J, 1)
solver.solve()
rp_times2.append((time()-t)/TRIALS)
# exact solver
if N <= SP_MAX:
t = time()
for _ in range(TRIALS):
sys.stdout.write(',')
sys.stdout.flush()
e_vals, e_vecs = solve(h, J, gamma=0)
sp_times.append((time()-t)/TRIALS)
t = time()
for _ in range(TRIALS):
sys.stdout.write('.')
sys.stdout.flush()
e_vals, e_vecs = solve(h, J, gamma=1)
sp_times2.append((time()-t)/TRIALS)
# plotting
plt.figure('Run-times')
plt.plot(Ns, rp_times, 'g', linewidth=LW)
plt.plot(Ns[:len(sp_times)], sp_times, 'b', linewidth=LW)
plt.plot(Ns, rp_times2, 'g--', linewidth=LW)
plt.plot(Ns[:len(sp_times2)], sp_times2, 'b--', linewidth=LW)
plt.xlabel('Wire length', fontsize=FS)
plt.ylabel('Run-time (s)', fontsize=FS)
plt.legend(['RP-Solver', 'Exact: ARPACK'], fontsize=FS)
if SAVE:
plt.savefig(os.path.join(IMG_DIR, 'rp_wire_{0}.eps'.format(N_max)),
bbox_inches='tight')
plt.show()
def new_wire_size_sweep(N_max):
''' '''
rp_times = []
rp_times2 = []
sp_times = []
sp_times2 = []
Ns = np.arange(2, N_max + 1)
for N in Ns:
sys.stdout.write('\r{0:.1f}%: {1}'.format((N - 1) * 100 / (N_max - 1),
N))
sys.stdout.flush()
h, J = gen_wire_coefs(N)
# rp solver
t = time()
for _ in range(TRIALS):
sys.stdout.write(',')
sys.stdout.flush()
solver = RP_Solver(h, J, 0)
solver.solve()
rp_times.append((time() - t) / TRIALS)
# rp solver with gamma=eps
t = time()
for _ in range(TRIALS):
sys.stdout.write('.')
sys.stdout.flush()
solver = RP_Solver(h, J, 1)
solver.solve()
rp_times2.append((time() - t) / TRIALS)
# exact solver
if N <= SP_MAX:
t = time()
for _ in range(TRIALS):
sys.stdout.write(',')
sys.stdout.flush()
e_vals, e_vecs = solve(h, J, gamma=0)
sp_times.append((time() - t) / TRIALS)
t = time()
for _ in range(TRIALS):
sys.stdout.write('.')
sys.stdout.flush()
e_vals, e_vecs = solve(h, J, gamma=1)
sp_times2.append((time() - t) / TRIALS)
# plotting
plt.figure('Run-times')
plt.plot(Ns, rp_times, 'g', linewidth=LW)
plt.plot(Ns[:len(sp_times)], sp_times, 'b', linewidth=LW)
plt.plot(Ns, rp_times2, 'g--', linewidth=LW)
plt.plot(Ns[:len(sp_times2)], sp_times2, 'b--', linewidth=LW)
plt.xlabel('Wire length', fontsize=FS)
plt.ylabel('Run-time (s)', fontsize=FS)
plt.legend(['RP-Solver', 'Exact: ARPACK'], fontsize=FS)
if SAVE:
plt.savefig(os.path.join(IMG_DIR, 'rp_wire_{0}.eps'.format(N_max)),
bbox_inches='tight')
plt.show()
def run_rp2(self, rp_steps, caching, cache_dir):
'''Compute the spectrum using the new RP-Solver'''
print('\nRunning New RP-Solver method...')
t = time()
if caching:
cache_dir = CACHE2 if cache_dir is None else cache_dir
else:
cache_dir = None
spectrum = []
for i, (gam, ep) in enumerate(zip(self.gammas, self.eps)):
sys.stdout.write('\r{0:.2f}%'.format(i*100./self.nsteps))
sys.stdout.flush()
ep = max(ep, EPS_MIN)
solver = RP_Solver(ep*self.h, ep*self.J, gam,
cache_dir=cache_dir)
solver.solve()
e_vals, e_vecs = solver.node.evd()
spectrum.append(list(e_vals))
return spectrum
# split schedule into iso-field steps
rp_steps = max(1, rp_steps)
niso = int(np.ceil(len(self.gammas)*1./rp_steps))
isos = []
for i in range(rp_steps):
gams = self.gammas[i*niso:(i+1)*niso]
eps = self.eps[i*niso:(i+1)*niso]
isos.append((gams, eps))
# solve spectrum within each iso-step
spectrum = []
i = 0
for gammas, eps in isos:
i += 1
# solve first problem is iso-step
gam, ep = gammas[0], max(eps[0], EPS_MIN)
solver = RP_Solver(ep*self.h, ep*self.J, gam,
cache_dir=cache_dir)
solver.solve()
e_vals, e_vecs = solver.node.evd()
spectrum.append(list(e_vals))
nx, nz = solver.get_current_fields()
modes = solver.node.modes
# solve remaining problems is iso-step
for gam, ep in zip(gammas[1:], eps[1:]):
i += 1
sys.stdout.write('\r{0:.2f}%'.format(i*100./self.nsteps))
sys.stdout.flush()
ep = max(ep, EPS_MIN)
solver = RP_Solver(ep*self.h, ep*self.J, gam,
nx=nx, nz=nz, cache_dir=cache_dir)
solver.mode_solve(modes)
spectrum.append(list(solver.node.e_vals))
return spectrum
def main(N, cache_dir=None):
'''Generate and test a problem with N spins'''
if WIRE:
h, J, gam = generate_wire(N)
else:
h, J, gam = generate_prob(N)
t = time()
if N < 18:
print('Exact solution...')
e_vals, e_vecs = solve(h, J, gamma=gam)
print(e_vals[:2])
print('Runtime: {0:.3f} (s)'.format(time() - t))
t = time()
solver = RP_Solver(h, J, gam, verbose=False, cache_dir=cache_dir)
solver.solve()
print('\n' * 3)
print('New RP solution:')
print(solver.node.Es[:2])
print('Runtime: {0:.3f} (s)'.format(time() - t))
msolver = RP_Solver(h, J, gam)
t = time()
modes = solver.node.modes
msolver.mode_solve(modes)
print('\n' * 3)
print('Mode solved:')
print(msolver.node.Es[:2])
print('Runtime: {0:.3f} (s)'.format(time() - t))
f = lambda x: np.round(x, 2)
print(solver.node.Hx.shape)
print(msolver.node.Hx.shape)
Dx = solver.node.Hx - msolver.node.Hx
print('Dx diffs...')
for i, j in np.transpose(np.nonzero(Dx)):
print('\t{0}:{1} :: {2:.3f}'.format(i, j, Dx[i, j]))
# resolve
for _ in range(TRIALS):
t = time()
nx, nz = solver.ground_fields()
solver = RP_Solver(h,
J,
gam,
nx=nx,
nz=nz,
verbose=False,
cache_dir=cache_dir)
solver.solve()
print('\n' * 3)
print('New RP solution:')
print(solver.node.Es[:2])
print('Runtime: {0:.3f} (s)'.format(time() - t))
