def MBI_fidelity(name):
m = BSM.ElectronRabiMsmt(name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
leftline = m.params['AWG_MBI_MW_pulse_mod_frq']
HF = 2.19290e6
m.params['AWG_MBI_MW_pulse_mod_frq'] = leftline
pts = 4
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['MW_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['MW_pulse_delays'] = np.ones(pts) * 100e-9
# MW pulses
m.params['MW_pulse_durations'] = np.ones(pts) * 2800e-9
m.params['MW_pulse_amps'] = np.array([0.0213, 0.0218, 0.0218, 0.0218]) * 0
m.params['MW_pulse_mod_frqs'] = np.array([leftline, leftline + HF, leftline + 2*HF, leftline + 3*HF])
# for the autoanalysis
m.params['sweep_name'] = 'MW mod frq (MHz)'
m.params['sweep_pts'] = m.params['MW_pulse_mod_frqs']
BSM.finish(m, debug=False)
def MBI_fidelity(name):
m = BSM.ElectronRabiMsmt(name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
leftline = m.params['AWG_MBI_MW_pulse_mod_frq']
HF = 2.19290e6
m.params['AWG_MBI_MW_pulse_mod_frq'] = leftline
pts = 4
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['MW_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['MW_pulse_delays'] = np.ones(pts) * 100e-9
# MW pulses
m.params['MW_pulse_durations'] = np.ones(pts) * 2800e-9
m.params['MW_pulse_amps'] = np.array([0.0213, 0.0218, 0.0218, 0.0218]) * 0
m.params['MW_pulse_mod_frqs'] = np.array(
[leftline, leftline + HF, leftline + 2 * HF, leftline + 3 * HF])
# for the autoanalysis
m.params['sweep_name'] = 'MW mod frq (MHz)'
m.params['sweep_pts'] = m.params['MW_pulse_mod_frqs']
BSM.finish(m, debug=False)
def run_electron_rabi(name):
m = BSM.ElectronRabiMsmt(name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
leftline = m.params['AWG_MBI_MW_pulse_mod_frq']
HF = 2.19290e6
m.params['AWG_MBI_MW_pulse_mod_frq'] = leftline
pts = 21
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['MW_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['MW_pulse_delays'] = np.ones(pts) * 100e-9
# MW pulses
m.params['MW_pulse_durations'] = np.linspace(0, 150e-9, pts) + 10e-9
m.params['MW_pulse_amps'] = np.ones(pts) * 0.7
m.params['MW_pulse_mod_frqs'] = np.ones(pts) * \
m.params['AWG_MBI_MW_pulse_mod_frq']
# for the autoanalysis
m.params['sweep_name'] = 'MW pulse length (ns)'
m.params['sweep_pts'] = m.params['MW_pulse_durations'] * 1e9
funcs.finish(m, debug=False)
def run_electron_rabi(name):
m = BSM.ElectronRabiMsmt(name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
leftline = m.params['AWG_MBI_MW_pulse_mod_frq']
HF = 2.19290e6
m.params['AWG_MBI_MW_pulse_mod_frq'] = leftline
pts = 21
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['MW_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['MW_pulse_delays'] = np.ones(pts) * 100e-9
# MW pulses
m.params['MW_pulse_durations'] = np.linspace(0, 150e-9, pts) + 10e-9
m.params['MW_pulse_amps'] = np.ones(pts) * 0.7
m.params['MW_pulse_mod_frqs'] = np.ones(pts) * \
m.params['AWG_MBI_MW_pulse_mod_frq']
# for the autoanalysis
m.params['sweep_name'] = 'MW pulse length (ns)'
m.params['sweep_pts'] = m.params['MW_pulse_durations'] * 1e9
funcs.finish(m, debug=False)
def tomo_debug():
m = TomoDebug('debug')
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['pts'] = 3 # must be 3 for any N-tomography msmt
BSM.finish(m, debug=False)
def tomo_debug():
m = TomoDebug('debug')
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['pts'] = 3 # must be 3 for any N-tomography msmt
BSM.finish(m, debug=False)
def hadamard_tomo(name):
m = HadamardTomo(name)
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['pts'] = 3 # must be 3 for any N-tomography msmt
BSM.finish(m, debug=False, upload=True)
def hadamard_tomo(name):
m = HadamardTomo(name)
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['pts'] = 3 # must be 3 for any N-tomography msmt
BSM.finish(m, debug=False, upload=True)
def phase_check(name):
m = NPhaseCheck(name)
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['phases'] = np.array([0, 180, 90])
m.params['pts'] = len(m.params['phases'])
# for the autoanalysis
m.params['sweep_name'] = 'second pi2 phase (deg)'
m.params['sweep_pts'] = m.params['phases']
BSM.finish(m, debug=False)
def phase_check(name):
m = NPhaseCheck(name)
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['phases'] = np.array([0,180,90])
m.params['pts'] = len(m.params['phases'])
# for the autoanalysis
m.params['sweep_name'] = 'second pi2 phase (deg)'
m.params['sweep_pts'] = m.params['phases']
BSM.finish(m, debug=False)
def H_phase_sweep(name):
m = HadamardPhaseSweep(name)
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['phases'] = np.linspace(0, 360, 9)
m.params['pts'] = len(m.params['phases'])
m.params['N_rabi_frequency'] = 5.532e3
# for the autoanalysis
m.params['sweep_name'] = 'second pi2 phase (deg)'
m.params['sweep_pts'] = m.params['phases']
BSM.finish(m, debug=False, upload=False)
def H_phase_sweep(name):
m = HadamardPhaseSweep(name)
BSM.prepare(m)
m.params['reps_per_ROsequence'] = 1000
m.params['phases'] = np.linspace(0, 360, 9)
m.params['pts'] = len(m.params['phases'])
m.params['N_rabi_frequency'] = 5.532e3
# for the autoanalysis
m.params['sweep_name'] = 'second pi2 phase (deg)'
m.params['sweep_pts'] = m.params['phases']
BSM.finish(m, debug=False, upload=False)
def CNOT_phase_check_sweep_CNOT_phase():
m = CNOTPhaseCheckSweepCNOTphase('CNOT_phase')
BSM.prepare(m)
pts = 17
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['CNOT_phase'] = np.linspace(0,360,pts)
# for the autoanalysis
m.params['sweep_name'] = 'first CNOT phase'
m.params['sweep_pts'] = m.params['CNOT_phase']
funcs.finish(m, debug=False, upload=True)
def CNOT_phase_check_sweep_time():
m = CNOTPhaseCheckSweepTime('CNOT_to_pi2')
BSM.prepare(m)
pts = 17
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['CNOT_to_pi2_time'] = np.linspace(150e-9, 250e-9, pts)
# for the autoanalysis
m.params['sweep_name'] = 'second_CNOT_to_pi2_time'
m.params['sweep_pts'] = m.params['CNOT_to_pi2_time']
funcs.finish(m, debug=False, upload=True)
def generate_sequence(self, upload=True):
self._pulse_defs()
seq = pulsar.Sequence('{}_{} sequence'.format(self.mprefix, self.name))
elements = []
elements.append(self.mbi_elt)
elements.append(self.sync_elt)
e = element.Element('H pulse', pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
n = e.append(
pulse.cp(self.N_pulse,
frequency=self.N_pi.frequency -
self.params['N_rabi_frequency'],
length=self.N_pi.length / np.sqrt(2),
amplitude=1))
t = e.length() - e.pulse_start_time(n, 'RF')
e2 = element.Element('pi2', pulsar=qt.pulsar)
e2.append(
pulse.cp(self.N_pi2, phase=BSM.phaseref(self.N_pi2.frequency, t)))
e2.append(self.TN)
e2.append(pulse.cp(self.pi2pi_m1))
elements.append(e2)
for i in range(self.params['pts']):
seq.append(name='MBI-{}'.format(i),
wfname=self.mbi_elt.name,
trigger_wait=True,
goto_target='MBI-{}'.format(i),
jump_target='H-{}'.format(i))
e = element.Element('H pulse-{}'.format(i), pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
n = e.append(
pulse.cp(self.N_pulse,
frequency=self.N_pi.frequency -
self.params['N_rabi_frequency'],
length=self.N_pi.length / np.sqrt(2),
amplitude=1,
phase=self.params['phases'][i]))
elements.append(e)
seq.append(name='H-{}'.format(i), wfname=e.name, trigger_wait=True)
seq.append(name='pi2-{}'.format(i), wfname=e2.name)
seq.append(name='sync-{}'.format(i), wfname=self.sync_elt.name)
# program AWG
if upload:
qt.pulsar.upload(*elements)
qt.pulsar.program_sequence(seq)
def CNOT_phase_check_sweep_time():
m = CNOTPhaseCheckSweepTime('CNOT_to_pi2')
BSM.prepare(m)
pts = 17
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['CNOT_to_pi2_time'] = np.linspace(150e-9,250e-9,pts)
# for the autoanalysis
m.params['sweep_name'] = 'second_CNOT_to_pi2_time'
m.params['sweep_pts'] = m.params['CNOT_to_pi2_time']
funcs.finish(m, debug=False, upload=True)
def CNOT_phase_check_sweep_CNOT_phase():
m = CNOTPhaseCheckSweepCNOTphase('CNOT_phase')
BSM.prepare(m)
pts = 17
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['CNOT_phase'] = np.linspace(0, 360, pts)
# for the autoanalysis
m.params['sweep_name'] = 'first CNOT phase'
m.params['sweep_pts'] = m.params['CNOT_phase']
funcs.finish(m, debug=False, upload=True)
def CNOT_phase_check_mI0_both_pi2_phases():
m = CNOTPhaseCheckmI0BothPi2Phases('mI0_pi2_phases_sweep_both')
BSM.prepare(m)
pts = 16
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['analysis_phases'] = - 62 + np.linspace(0,360,pts)
m.params['prepare_phases'] = - m.params['analysis_phases']
# for the autoanalysis
m.params['sweep_name'] = 'second pi/2 phase'
m.params['sweep_pts'] = m.params['analysis_phases']
funcs.finish(m, debug=False, upload=True)
def get_sweep_elements(self):
e = element.Element('Hadamard', pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
# this is for using the detuned pi pulse
# prep_name = e.append(pulse.cp(self.N_pi2,
# phase = BSM.phaseref(self.N_pi2.frequency,
# -self.N_pi2.length) - 90.,
# amplitude = 1))
# hadamard_name = e.append(pulse.cp(self.N_pulse,
# frequency = self.N_pi.frequency - self.params['N_rabi_frequency'],
# length = self.N_pi.length / np.sqrt(2),
# amplitude = 1,
# phase = 36.5))
# t = e.length()-e.pulse_start_time(hadamard_name, 'RF')
# this is by using two rotations around x/y -- This works much better!
prep_name = e.append(pulse.cp(self.N_pi2, phase=-90, amplitude=1))
# first a pi/2 over +Y
h_pi2_name = e.append(
pulse.cp(self.N_pi2,
phase=BSM.phaseref(self.N_pi2.frequency,
e.pulse_length(prep_name)),
amplitude=1))
# then a pi over +X
h_pi_name = e.append(
pulse.cp(
self.N_pi,
phase=BSM.phaseref(
self.N_pi2.frequency,
e.pulse_length(prep_name) + e.pulse_length(h_pi2_name)) +
90.,
amplitude=1))
self.element = e
self.params['tomo_time_offset'] = e.length() - e.pulse_start_time(
prep_name, 'RF')
return BSM.NTomo.get_sweep_elements(self)
def CNOT_phase_check():
m = CNOTPhaseCheck('2_times_CNOT')
BSM.prepare(m)
pts = 17
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['multiplicity'] = 2 #number of CNOT pulses
m.params['analysis_phases'] = np.linspace(0, 360, pts)
# for the autoanalysis
m.params['sweep_name'] = 'second pi/2 phase'
m.params['sweep_pts'] = m.params['analysis_phases']
funcs.finish(m, debug=False, upload=True)
def CNOT_phase_check():
m = CNOTPhaseCheck('2_times_CNOT')
BSM.prepare(m)
pts = 17
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['multiplicity'] = 2 #number of CNOT pulses
m.params['analysis_phases'] = np.linspace(0,360,pts)
# for the autoanalysis
m.params['sweep_name'] = 'second pi/2 phase'
m.params['sweep_pts'] = m.params['analysis_phases']
funcs.finish(m, debug=False, upload=True)
def CNOT_phase_check_mI0_both_pi2_phases():
m = CNOTPhaseCheckmI0BothPi2Phases('mI0_pi2_phases_sweep_both')
BSM.prepare(m)
pts = 16
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
# MW pulses
m.params['analysis_phases'] = -62 + np.linspace(0, 360, pts)
m.params['prepare_phases'] = -m.params['analysis_phases']
# for the autoanalysis
m.params['sweep_name'] = 'second pi/2 phase'
m.params['sweep_pts'] = m.params['analysis_phases']
funcs.finish(m, debug=False, upload=True)
def run_CORPSE_echo_phase_sweep(name):
m = CORPSEEchoPhaseSweep(name)
BSM.prepare(m)
phases = np.linspace(0, 360, 25)
pts = len(phases)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['delay'] = 50.9e-6
m.params['phases'] = phases
# for the autoanalysis
m.params['sweep_name'] = 'CORPSE relative phase shift (deg)'
m.params['sweep_pts'] = phases
BSM.finish(m, debug=False)
def run_CORPSE_echo_phase_sweep(name):
m = CORPSEEchoPhaseSweep(name)
BSM.prepare(m)
phases = np.linspace(0,360,25)
pts = len(phases)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['delay'] = 50.9e-6
m.params['phases'] = phases
# for the autoanalysis
m.params['sweep_name'] = 'CORPSE relative phase shift (deg)'
m.params['sweep_pts'] = phases
BSM.finish(m, debug=False)
def do_N_FT_Polarisation_check():
m = N_FT_Polarisation_Check('pulsed')
BSM.prepare(m,yellow=True)
#preparation line:
m.params['init_line'] = '-1'
#readout pulse line:
m.params['readout_line']='-1'
m.name=m.name+'_init_'+ m.params['init_line']+'_ro_'+m.params['readout_line']
m.params['FT_element_repetitions'] = np.array([1,1000,2000,3000,4000])
pts = len(m.params['FT_element_repetitions'])
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['sp_duration'] = 20e-6
m.params['FT_pulse_power']=100e-9
m.params['FT_pulse_amp']=\
m.A_aom.power_to_voltage(m.params['FT_pulse_power'], controller='sec')
m.params['yellow_pulse_power'] = 50e-9
m.params['yellow_pulse_amp'] =\
m.yellow_aom.power_to_voltage(m.params['yellow_pulse_power'], controller='sec')
# for the autoanalysis
m.params['sweep_name'] = 'FT_element_repetitions'
m.params['sweep_pts'] = m.params['FT_element_repetitions']
if m.params['init_line'] == '-1':
m.params['AWG_MBI_MW_pulse_mod_frq']=m.params['mIm1_mod_frq'] #ms=-1
elif m.params['init_line'] == '0':
m.params['AWG_MBI_MW_pulse_mod_frq']=m.params['mI0_mod_frq'] #ms=0
elif m.params['init_line'] == '+1':
m.params['AWG_MBI_MW_pulse_mod_frq']=m.params['mIp1_mod_frq']#ms=+1
print 'dont use this --> CORPSE is bad for +1'
else:
raise(Exception('Unknown init line' + str(m.params['init_line'])))
funcs.finish(m, debug=False, upload=True)
def pi_position_sweep(name):
m = EchoSweepPiPosition(name)
BSM.prepare(m)
m.params['2tau'] = 3000e-9
shifts = np.linspace(-500e-9, 500e-9, 21)
pts = len(shifts)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 2500
# m.params['CORPSE_pi_phase_shift'] = 65.2
m.params['pi_position_shifts'] = shifts
# for the autoanalysis
m.params['sweep_name'] = 'position shift of the pi-pulse (ns)'
m.params['sweep_pts'] = shifts * 1e9
BSM.finish(m, debug=False, upload=True)
def echo_phase_sweep(name):
m = Echo('_PhaseSweep_{}'.format(name))
BSM.prepare(m)
phases = np.linspace(0,360,25)
# reps = np.arange(1, 12, 2)
pts = len(phases)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['delay_repetitions'] = np.ones(pts) * 51
m.params['second_pi2_phases'] = phases
# for the autoanalysis
m.params['sweep_name'] = 'Phase of second pi-pulse (deg)'
m.params['sweep_pts'] = m.params['second_pi2_phases']
BSM.finish(m, debug=False)
def echo_delay_sweep(name):
m = Echo('_DelaySweep_{}'.format(name))
BSM.prepare(m)
reps = np.arange(30,72,2)
# reps = np.arange(1, 12, 2)
pts = len(reps)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['delay_repetitions'] = reps
m.params['second_pi2_phases'] = zeros(pts)
# for the autoanalysis
m.params['sweep_name'] = 'Interpulse delay (us)'
m.params['sweep_pts'] = m.params['delay_repetitions']
BSM.finish(m, debug=False)
def pi_position_sweep(name):
m = EchoSweepPiPosition(name)
BSM.prepare(m)
m.params['2tau'] = 3000e-9
shifts = np.linspace(-500e-9, 500e-9, 21)
pts = len(shifts)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 2500
# m.params['CORPSE_pi_phase_shift'] = 65.2
m.params['pi_position_shifts'] = shifts
# for the autoanalysis
m.params['sweep_name'] = 'position shift of the pi-pulse (ns)'
m.params['sweep_pts'] = shifts * 1e9
BSM.finish(m, debug=False, upload=True)
def echo_phase_sweep(name):
m = Echo('_PhaseSweep_{}'.format(name))
BSM.prepare(m)
phases = np.linspace(0, 360, 25)
# reps = np.arange(1, 12, 2)
pts = len(phases)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['delay_repetitions'] = np.ones(pts) * 51
m.params['second_pi2_phases'] = phases
# for the autoanalysis
m.params['sweep_name'] = 'Phase of second pi-pulse (deg)'
m.params['sweep_pts'] = m.params['second_pi2_phases']
BSM.finish(m, debug=False)
def echo_delay_sweep(name):
m = Echo('_DelaySweep_{}'.format(name))
BSM.prepare(m)
reps = np.arange(30, 72, 2)
# reps = np.arange(1, 12, 2)
pts = len(reps)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['delay_repetitions'] = reps
m.params['second_pi2_phases'] = zeros(pts)
# for the autoanalysis
m.params['sweep_name'] = 'Interpulse delay (us)'
m.params['sweep_pts'] = m.params['delay_repetitions']
BSM.finish(m, debug=False)
def do_N_FT_Polarisation_check():
m = N_FT_Polarisation_Check('pulsed')
BSM.prepare(m,yellow=True)
#preparation line:
m.params['init_line'] = '-1'
#readout pulse line:
m.params['readout_line']='-1'
m.name=m.name+'_init_'+ m.params['init_line']+'_ro_'+m.params['readout_line']
m.params['FT_element_repetitions'] = np.array([1,1000,2000,3000,4000])
pts = len(m.params['FT_element_repetitions'])
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['sp_duration'] = 20e-6
m.params['FT_pulse_power']=100e-9
m.params['FT_pulse_amp']=\
m.A_aom.power_to_voltage(m.params['FT_pulse_power'], controller='sec')
m.params['yellow_pulse_power'] = 50e-9
m.params['yellow_pulse_amp'] =\
m.yellow_aom.power_to_voltage(m.params['yellow_pulse_power'], controller='sec')
# for the autoanalysis
m.params['sweep_name'] = 'FT_element_repetitions'
m.params['sweep_pts'] = m.params['FT_element_repetitions']
if m.params['init_line'] == '-1':
m.params['AWG_MBI_MW_pulse_mod_frq']=m.params['mIm1_mod_frq'] #ms=-1
elif m.params['init_line'] == '0':
m.params['AWG_MBI_MW_pulse_mod_frq']=m.params['mI0_mod_frq'] #ms=0
elif m.params['init_line'] == '+1':
m.params['AWG_MBI_MW_pulse_mod_frq']=m.params['mIp1_mod_frq']#ms=+1
print 'dont use this --> CORPSE is bad for +1'
else:
raise(Exception('Unknown init line' + str(m.params['init_line'])))
funcs.finish(m, debug=False, upload=True)
def get_sweep_elements(self):
e = element.Element('Hadamard', pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
# this is for using the detuned pi pulse
# prep_name = e.append(pulse.cp(self.N_pi2,
# phase = BSM.phaseref(self.N_pi2.frequency,
# -self.N_pi2.length) - 90.,
# amplitude = 1))
# hadamard_name = e.append(pulse.cp(self.N_pulse,
# frequency = self.N_pi.frequency - self.params['N_rabi_frequency'],
# length = self.N_pi.length / np.sqrt(2),
# amplitude = 1,
# phase = 36.5))
# t = e.length()-e.pulse_start_time(hadamard_name, 'RF')
# this is by using two rotations around x/y -- This works much better!
prep_name = e.append(pulse.cp(self.N_pi2,
phase = -90,
amplitude = 1))
# first a pi/2 over +Y
h_pi2_name = e.append(pulse.cp(self.N_pi2,
phase = BSM.phaseref(self.N_pi2.frequency,
e.pulse_length(prep_name)),
amplitude = 1))
# then a pi over +X
h_pi_name = e.append(pulse.cp(self.N_pi,
phase = BSM.phaseref(self.N_pi2.frequency,
e.pulse_length(prep_name)+e.pulse_length(h_pi2_name)) + 90.,
amplitude = 1))
self.element = e
self.params['tomo_time_offset'] = e.length() - e.pulse_start_time(prep_name, 'RF')
return BSM.NTomo.get_sweep_elements(self)
def N_rabi(name):
m = NRabi(name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
pts = 17
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['RF_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['RF_pulse_delays'] = np.ones(pts) * 1e-6
# MW pulses
m.params['RF_pulse_durations'] = np.linspace(1e-6, 181e-6, pts)
m.params['RF_pulse_amps'] = np.ones(pts) * 1
m.params['RF_pulse_frqs'] = np.ones(pts) * m.params['N_0-1_splitting_ms-1']
# for the autoanalysis
m.params['sweep_name'] = 'RF duration (us)'
m.params['sweep_pts'] = m.params['RF_pulse_durations'] * 1e6
BSM.finish(m, debug=False)
def run_nmr_rabi(name):
m = BSM.NRabiMsmt('Nuclear_rabi_' + name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
pts = 26
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['RF_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['RF_pulse_delays'] = np.ones(pts) * 1e-6
# MW pulses
m.params['RF_pulse_durations'] = np.linspace(1e-6, 361e-6, pts)
m.params['RF_pulse_amps'] = np.ones(pts) * 1
m.params['RF_pulse_frqs'] = np.ones(pts) + m.params['N_0-1_splitting_ms-1']
# for the autoanalysis
m.params['sweep_name'] = 'RF duration (us)'
m.params['sweep_pts'] = m.params['RF_pulse_durations'] * 1e6
BSM.finish(m, debug=False)
def run_nmr_frq_scan(name):
m = BSM.NRabiMsmt('NMR_frq_scan_' + name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
pts = 21
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['RF_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['RF_pulse_delays'] = np.ones(pts) * 1e-6
# MW pulses
m.params['RF_pulse_durations'] = np.ones(pts) * 70e-6
m.params['RF_pulse_amps'] = np.ones(pts) * 1
m.params['RF_pulse_frqs'] = np.linspace(7.12e6, 7.15e6, pts)
# for the autoanalysis
m.params['sweep_name'] = 'RF frequency (MHz)'
m.params['sweep_pts'] = m.params['RF_pulse_frqs'] * 1e-6
funcs.finish(m, debug=False)
def run_nmr_frq_scan(name):
m = BSM.NRabiMsmt('NMR_frq_scan_'+name) # BSM.ElectronRabiMsmt(name)
BSM.prepare(m)
pts = 21
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
m.params['RF_pulse_multiplicities'] = np.ones(pts).astype(int) * 1
m.params['RF_pulse_delays'] = np.ones(pts) * 1e-6
# MW pulses
m.params['RF_pulse_durations'] = np.ones(pts) * 70e-6
m.params['RF_pulse_amps'] = np.ones(pts) * 1
m.params['RF_pulse_frqs'] = np.linspace(7.12e6, 7.15e6, pts)
# for the autoanalysis
m.params['sweep_name'] = 'RF frequency (MHz)'
m.params['sweep_pts'] = m.params['RF_pulse_frqs'] * 1e-6
funcs.finish(m, debug=False)
def run_N_uncond_rot_calib(name):
m = NitrogenUnconditonalRotationCalib(name)
BSM.prepare(m)
delays = 51.1e-6 + np.linspace(-0.5e-6, 0.5e-6, 17)
pts = len(delays)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
# DEBUG
# m.params['CORPSE_pi_amp'] = 0.
m.params['CORPSE_pi_phase_shift'] = 65.2
m.params['delays'] = delays
# for the autoanalysis
m.params['sweep_name'] = 'Interpulse delay (us)'
m.params['sweep_pts'] = delays * 1e6
BSM.finish(m, debug=False)
def run_N_uncond_rot_calib(name):
m = NitrogenUnconditonalRotationCalib(name)
BSM.prepare(m)
delays = 51.1e-6 + np.linspace(-0.5e-6, 0.5e-6, 17)
pts = len(delays)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 500
# DEBUG
# m.params['CORPSE_pi_amp'] = 0.
m.params['CORPSE_pi_phase_shift'] = 65.2
m.params['delays'] = delays
# for the autoanalysis
m.params['sweep_name'] = 'Interpulse delay (us)'
m.params['sweep_pts'] = delays * 1e6
BSM.finish(m, debug=False)
def estimate(self):
# initialize
N = len(self.z) # use close market's value
t_init = 0
y_init = self.z[t_init]
# BSM model
model = bsm.BSM(N, self.params["mu"], self.params["sgm"], t_init,
y_init, self.seed)
y = model.predict()
loss = model.calc_loss(np.array(self.z, dtype=float))
return loss, y
def estimate_last(self, args):
# initialize
N = len(self.z) # use close market's value
t_init = 0
y_init = self.z[t_init]
# BSM model
model = bsm.BSM(N, args.mu, args.sigma, t_init, y_init, self.seed)
y = model.predict()
#print(float(y[-1]),float(self.z[-1]),(float(y[-1])-float(self.z[-1])))
error = (float(y[-1]) - float(self.z[-1]))**2
return error
def run_NUrot_vs_timing(name):
m = NitrogenURotVsTiming(name)
BSM.prepare(m)
delays = 50.9e-6 + np.linspace(-0.5e-6, 0.5e-6, 26)
# DEBUG
# m.params['N_pi2_amp'] = 0
pts = len(delays)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['CORPSE_pi_phase_shift'] = 65.2
m.params['CORPSE_pi_phase_shifts'] = \
np.ones(pts) * m.params['CORPSE_pi_phase_shift']
m.params['e_delays'] = delays
# for the autoanalysis
m.params['sweep_name'] = 'Interpulse delay (us)'
m.params['sweep_pts'] = delays * 1e6
BSM.finish(m, debug=True)
def run_NUrot_vs_timing(name):
m = NitrogenURotVsTiming(name)
BSM.prepare(m)
delays = 50.9e-6 + np.linspace(-0.5e-6, 0.5e-6, 26)
# DEBUG
# m.params['N_pi2_amp'] = 0
pts = len(delays)
m.params['pts'] = pts
m.params['reps_per_ROsequence'] = 1000
m.params['CORPSE_pi_phase_shift'] = 65.2
m.params['CORPSE_pi_phase_shifts'] = \
np.ones(pts) * m.params['CORPSE_pi_phase_shift']
m.params['e_delays'] = delays
# for the autoanalysis
m.params['sweep_name'] = 'Interpulse delay (us)'
m.params['sweep_pts'] = delays * 1e6
BSM.finish(m, debug=True)
def import_iv():
# set option param
spot = 2.483
today = dt.date(2015, 1, 27)
risk_free = 0.05
qList = []
# 读取行情
with open('option_20150127.csv') as f:
f_csv = csv.reader(f)
headers = next(f_csv)
for row in f_csv:
price = float(row[5])
if (row[10] == "PO"):
mytype = -1
elif (row[10] == "CO"):
mytype = 1
else:
print "error"
strike = float(row[11])
T = (dt.datetime.strptime(row[9], "%Y/%m/%d").date() -
today).days / 365.0
qList.append(Quote(price, strike, T, mytype))
ivList = []
for i in qList:
# print (i.optionType, i.strike, riskFree, i.T, spot, i.optionPrice)
bsm = BSM.BSM(i.optionType, i.strike, risk_free, i.T, spot)
ivList.append(bsm.get_iv(i.optionType, i.optionPrice))
svi_sample_list = []
for i in range(0, len(ivList)):
svi_sample_list.append(
Svi_sample(ivList[i], (math.log(qList[i].strike / spot))))
#svi_sample_list_sub = svi_sample_list[1:6]+svi_sample_list[28:34]
svi_sample_list_sub = svi_sample_list[0:7] + svi_sample_list[28:35]
for i6 in svi_sample_list_sub:
print i6.iv, ",", i6.k
return svi_sample_list_sub
def get_sweep_elements(self):
e = element.Element('e1', pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
n = e.append(self.N_pi2)
t = e.length()-e.pulse_start_time(n, 'RF')
elts = []
for i in range(self.params['pts']):
e2 = element.Element('e2-{}'.format(i),
pulsar=qt.pulsar)
e2.append(pulse.cp(self.N_pi2,
phase = BSM.phaseref(self.N_pi2.frequency,t) + self.params['phases'][i]))
e2.append(self.TN)
# e2.append(self.pi2pi_m1)
elts.append([e,e2])
return elts
def get_sweep_elements(self):
e = element.Element('e1', pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
n = e.append(self.N_pi2)
t = e.length() - e.pulse_start_time(n, 'RF')
elts = []
for i in range(self.params['pts']):
e2 = element.Element('e2-{}'.format(i), pulsar=qt.pulsar)
e2.append(
pulse.cp(self.N_pi2,
phase=BSM.phaseref(self.N_pi2.frequency, t) +
self.params['phases'][i]))
e2.append(self.TN)
# e2.append(self.pi2pi_m1)
elts.append([e, e2])
return elts
def generate_sequence(self, upload=True):
self._pulse_defs()
elements = []
for i in range(self.params['pts']):
e = element.Element('Echo-{}'.format(i), pulsar=qt.pulsar)
e.append(pulse.cp(self.TIQ, length=500e-9))
e.append(pulse.cp(self.pi2_4MHz, lock_phase_to_element_time=False))
e.append(pulse.cp(self.TIQ,
length = self.params['2tau']/2. + \
self.params['pi_position_shifts'][i]))
### for doing a CORPSE pi
pi_phase = BSM.phaseref(self.pi2_4MHz.frequency,
self.pi2_4MHz.effective_length() + self.params['2tau']/2. + \
self.params['pi_position_shifts'][i])
e.append(
pulse.cp(self.CORPSE_pi,
phase=pi_phase,
frequency=self.pi2_4MHz.frequency))
### regular pi
# pi_phase = BSM.phaseref(self.pi2_4MHz.frequency,
# self.pi2_4MHz.effective_length() + self.params['2tau']/2. + \
# self.params['pi_position_shifts'][i])
# e.append(pulse.cp(self.pi_4MHz,
# lock_phase_to_element_time = False,
# phase = pi_phase))
e.append(pulse.cp(self.TIQ,
length = self.params['2tau']/2. - \
self.params['pi_position_shifts'][i]))
### pay attention here with which pi pulse we're using!
second_pi2_phase = BSM.phaseref(self.pi2_4MHz.frequency,
self.pi2_4MHz.effective_length() + self.params['2tau'] + \
self.CORPSE_pi.effective_length())
# second_pi2_phase = BSM.phaseref(self.pi2_4MHz.frequency,
# self.pi2_4MHz.effective_length() + self.params['2tau'] + \
# self.pi_4MHz.effective_length())
e.append(
pulse.cp(self.pi2_4MHz,
lock_phase_to_element_time=False,
phase=second_pi2_phase))
e.append(pulse.cp(self.TIQ, length=500e-9))
elements.append(e)
# e.print_overview()
seq = seq = pulsar.Sequence('{}_{} sequence'.format(
self.mprefix, self.name))
for i, e in enumerate(elements):
seq.append(name='MBI-{}'.format(i),
wfname=self.mbi_elt.name,
trigger_wait=True,
goto_target='MBI-{}'.format(i),
jump_target='Echo-{}'.format(i))
seq.append(name='Echo-{}'.format(i),
wfname=e.name,
trigger_wait=True)
seq.append(name='sync-{}'.format(i), wfname=self.sync_elt.name)
# program AWG
if upload:
qt.pulsar.upload(self.mbi_elt, self.sync_elt, *elements)
qt.pulsar.program_sequence(seq)
def get_iv(self):
bsm = BSM.BSM(self.option_type, self.strike, self.interest,
self.param_t, self.future_price)
return bsm.get_iv(self.option_type, self.quote.last_price)
def generate_sequence(self, upload=True):
self._pulse_defs()
elements = []
for i in range(self.params['pts']):
e = element.Element('Echo-{}'.format(i),
pulsar = qt.pulsar)
e.append(pulse.cp(self.TIQ, length=500e-9))
e.append(pulse.cp(self.pi2_4MHz,
lock_phase_to_element_time = False))
e.append(pulse.cp(self.TIQ,
length = self.params['2tau']/2. + \
self.params['pi_position_shifts'][i]))
### for doing a CORPSE pi
pi_phase = BSM.phaseref(self.pi2_4MHz.frequency,
self.pi2_4MHz.effective_length() + self.params['2tau']/2. + \
self.params['pi_position_shifts'][i])
e.append(pulse.cp(self.CORPSE_pi,
phase = pi_phase,
frequency = self.pi2_4MHz.frequency))
### regular pi
# pi_phase = BSM.phaseref(self.pi2_4MHz.frequency,
# self.pi2_4MHz.effective_length() + self.params['2tau']/2. + \
# self.params['pi_position_shifts'][i])
# e.append(pulse.cp(self.pi_4MHz,
# lock_phase_to_element_time = False,
# phase = pi_phase))
e.append(pulse.cp(self.TIQ,
length = self.params['2tau']/2. - \
self.params['pi_position_shifts'][i]))
### pay attention here with which pi pulse we're using!
second_pi2_phase = BSM.phaseref(self.pi2_4MHz.frequency,
self.pi2_4MHz.effective_length() + self.params['2tau'] + \
self.CORPSE_pi.effective_length())
# second_pi2_phase = BSM.phaseref(self.pi2_4MHz.frequency,
# self.pi2_4MHz.effective_length() + self.params['2tau'] + \
# self.pi_4MHz.effective_length())
e.append(pulse.cp(self.pi2_4MHz,
lock_phase_to_element_time = False,
phase = second_pi2_phase))
e.append(pulse.cp(self.TIQ,
length = 500e-9))
elements.append(e)
# e.print_overview()
seq = seq = pulsar.Sequence('{}_{} sequence'.format(self.mprefix,
self.name))
for i,e in enumerate(elements):
seq.append(name = 'MBI-{}'.format(i),
wfname = self.mbi_elt.name,
trigger_wait = True,
goto_target = 'MBI-{}'.format(i),
jump_target = 'Echo-{}'.format(i))
seq.append(name = 'Echo-{}'.format(i),
wfname = e.name,
trigger_wait = True)
seq.append(name = 'sync-{}'.format(i),
wfname = self.sync_elt.name)
# program AWG
if upload:
qt.pulsar.upload(self.mbi_elt, self.sync_elt, *elements)
qt.pulsar.program_sequence(seq)
def generate_sequence(self, upload=True):
self._pulse_defs()
seq = pulsar.Sequence('{}_{} sequence'.format(self.mprefix,
self.name))
elements = []
elements.append(self.mbi_elt)
elements.append(self.sync_elt)
e = element.Element('H pulse', pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
n = e.append(pulse.cp(self.N_pulse,
frequency = self.N_pi.frequency - self.params['N_rabi_frequency'],
length = self.N_pi.length / np.sqrt(2),
amplitude = 1))
t = e.length()-e.pulse_start_time(n, 'RF')
e2 = element.Element('pi2', pulsar=qt.pulsar)
e2.append(pulse.cp(self.N_pi2,
phase = BSM.phaseref(
self.N_pi2.frequency, t)))
e2.append(self.TN)
e2.append(pulse.cp(self.pi2pi_m1))
elements.append(e2)
for i in range(self.params['pts']):
seq.append(name = 'MBI-{}'.format(i),
wfname = self.mbi_elt.name,
trigger_wait = True,
goto_target = 'MBI-{}'.format(i),
jump_target = 'H-{}'.format(i))
e = element.Element('H pulse-{}'.format(i), pulsar=qt.pulsar)
e.append(self.T)
e.append(self.shelving_pulse)
e.append(pulse.cp(self.T, length=100e-9))
n = e.append(pulse.cp(self.N_pulse,
frequency = self.N_pi.frequency - self.params['N_rabi_frequency'],
length = self.N_pi.length / np.sqrt(2),
amplitude = 1,
phase = self.params['phases'][i]))
elements.append(e)
seq.append(name = 'H-{}'.format(i),
wfname = e.name,
trigger_wait = True)
seq.append(name = 'pi2-{}'.format(i),
wfname = e2.name)
seq.append(name = 'sync-{}'.format(i),
wfname = self.sync_elt.name)
# program AWG
if upload:
qt.pulsar.upload(*elements)
qt.pulsar.program_sequence(seq)
parser.add_argument("-se", "--seed", type=int, default=-1)
args = parser.parse_args()
z = list()
# read csv file
with open(args.csvfile, "r") as file:
reader = csv.reader(file)
header = next(reader)
for row in reader:
z.append(float(row[4]))
Nt = len(z)
init = z[0]
# calc BSM model
model = bsm.BSM(Nt, args.mu, args.sigma, y_init=init, seed=args.seed)
y = model.predict()
# plot
t = range(Nt)
# plot BSM model
plt.plot(t, y, "ro-", label="BSM model", markeredgecolor="black")
# plot BTC data
plt.plot(t, z, "bs:", label="market price", markeredgecolor="black")
plt.yscale("log")
plt.xlabel("time")
plt.ylabel("BTC")
plt.legend()
plt.show()
import BSM
T=34/365
r=None
spot=2.3440
option_dict={}
bsm_list=[]
#read data
file_name="D://option.csv"
with open(file_name) as f:
f_csv = csv.reader(f)
headers = next(f_csv)
for row in f_csv:
if(row[0]=="C"):
temp=1
elif row[0]=="P":
temp=-1
else:
print "error"
exit(0)
option_dict[(temp,float(row[1]))]=tuple([float(x) for x in row[5:11]])
for i in option_dict:
bsm=BSM.BSM(i[0],i[1],r,T,spot)
bsm.update
bsm_list.append()
# read csv file
with open(args.csvfile, "r") as file:
reader = csv.reader(file)
header = next(reader)
for row in reader:
z.append(float(row[4]))
Nt = len(z)
init = z[0]
# calc BSM model
fig = plt.figure(figsize=(16, 10))
t = range(Nt)
for i in range(args.Nsample):
model = bsm.BSM(Nt, args.mu, args.sigma, t_init=0.0, y_init=init)
y = model.predict()
rows = args.Nsample / 2
cols = args.Nsample / rows
plt.subplot(cols, rows, i + 1)
# plot BTC data
plt.plot(t, z, "bs:", markeredgecolor="black")
# plot BSM model
plt.plot(t, y, "ro-", markeredgecolor="black")
plt.xlabel("time")
plt.ylabel("BTC")
plt.yscale("log")
del model
fig.suptitle("(mu,sigma)=(" + str(args.mu) + "," + str(args.sigma) + ")",
fontsize=30)
plt.savefig("BTC_BSM_mu" + str(args.mu) + "_s" + str(args.sigma) + ".png")
option.put.price=si.splev(S0,tck,der=0)
if __name__ == "__main__":
S0 = 100.0
K = 100.0
r=0.1
sigma = 0.30
T = 3
class param():
def __init__(self):
self.NAS = 300
p = param()
oc=bsm.optionClass(S0, K, r, sigma, T, False)
t=time.time()
#FiniteDiff(oc, p)
bsm.BlackScholesInfo(oc)
elapsed = time.time()-t
print(elapsed)
print(oc.call.price)
print(oc.put.price)