def run():
name = "ToffoliSWAP_QAOA4"
IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q-keio',
group='keio-internal',
project='reservations')
backend = provider.get_backend('ibmq_toronto')
jobfile_path = "/Users/Yasuhiro/Documents/aqua/gp/experiments/jobfiles/ibmq_toronto/2020-09-13T12:40:29_Toffoli_SWAP-1_QAOA_4-1.pickle"
# result_dict = get_result(jobfile_path, backend)
################################################################
job_dictdict = pickle_load(jobfile_path)
jobfile_dict = {
'qiskit': {
'job': "5f5d94903e7dd000197b369f",
'circuit': job_dictdict['qiskit']['circuit'],
'job_cal': job_dictdict['qiskit']['job_cal'],
'state_labels': job_dictdict['qiskit']['state_labels'],
},
'xtalk_aware': {
'job': "5f5d949a3e7dd000197b36a0",
'circuit': job_dictdict['xtalk_aware']['circuit'],
'job_cal': job_dictdict['xtalk_aware']['job_cal'],
'state_labels': job_dictdict['xtalk_aware']['state_labels'],
},
'simulator': {
'job': job_dictdict['simulator']['job'],
'circuit': job_dictdict['simulator']['circuit']
}
}
result_dict = get_result(jobfile_path, backend, jobfile_dict=jobfile_dict)
################################################################
qiskit_dict = result_dict['qiskit']
xa_dict = result_dict['xtalk_aware']
sim_dict = result_dict['simulator']
# analyse whole result
print("################################################################")
print(qiskit_dict['counts'])
print(xa_dict['counts'])
print(sim_dict['counts'])
print("################################################################")
js1_total, js2_total, js_uni_total = analyse(
_sort_by_key(qiskit_dict['counts']),
_sort_by_key(xa_dict['counts']),
_sort_by_key(sim_dict['counts']),
num_bit=6)
output_path = "/Users/Yasuhiro/Documents/aqua/gp/experiments/data/ibmq_toronto/plot/" + name + ".png"
plot([[js_uni_total, js1_total, js2_total]], output_path)
# analyse each results in multi-programming
js_list = []
num_bit_list = [4, 3]
for qis, xa, sim, num_bit in zip(qiskit_dict['each_counts'],
xa_dict['each_counts'],
sim_dict['each_counts'], num_bit_list):
js1_i, js2_i, js_uni_i = analyse(_sort_by_key(qis),
_sort_by_key(xa),
_sort_by_key(sim),
num_bit=num_bit)
js_list.append([js1_i, js2_i, js_uni_i])
output_path = "/Users/Yasuhiro/Documents/aqua/gp/experiments/data/ibmq_toronto/plot/" + name + "_each.png"
plot(listlist=js_list, output_path=output_path)
res_path = "/Users/Yasuhiro/Documents/aqua/gp/experiments/data/ibmq_toronto/jsd.pickle"
try:
res = pickle_load(res_path)
except:
res = {}
res[name] = [js_uni_total, js1_total, js2_total]
pickle_dump(res, res_path)
def run():
name = "QFT3_Toffoli"
IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q-keio',
group='keio-internal',
project='reservations')
backend = provider.get_backend('ibmq_toronto')
jobfile_path = "/Users/Yasuhiro/Documents/aqua/gp/experiments/jobfiles/ibmq_toronto/2020-09-13T11:54:25_QFT_3-1_Toffoli-1.pickle"
# result_dict = get_result(jobfile_path, backend)
################################################################
job_dictdict = pickle_load(jobfile_path)
jobfile_dict = {
'qiskit': {
'job': "5f5d89c7e554e3001bad25f9",
'circuit': job_dictdict['qiskit']['circuit'],
'job_cal': job_dictdict['qiskit']['job_cal'],
'state_labels': job_dictdict['qiskit']['state_labels'],
},
'xtalk_aware': {
'job': "5f5d89cfebc63a001994b05d",
'circuit': job_dictdict['xtalk_aware']['circuit'],
'job_cal': job_dictdict['xtalk_aware']['job_cal'],
'state_labels': job_dictdict['xtalk_aware']['state_labels'],
},
'simulator': {
'job': job_dictdict['simulator']['job'],
'circuit': job_dictdict['simulator']['circuit']
}
}
result_dict = get_result(jobfile_path, backend, jobfile_dict=jobfile_dict)
################################################################
qiskit_dict = result_dict['qiskit']
xa_dict = result_dict['xtalk_aware']
sim_dict = result_dict['simulator']
# analyse whole result
print("################################################################")
print(qiskit_dict['counts'])
print(xa_dict['counts'])
print(sim_dict['counts'])
print("################################################################")
js1, js2, js_uni = analyse(_sort_by_key(qiskit_dict['counts']),
_sort_by_key(xa_dict['counts']),
_sort_by_key(sim_dict['counts']),
num_bit=6)
print(js1, js2, js_uni)
output_path = "/Users/Yasuhiro/Documents/aqua/gp/experiments/data/ibmq_toronto/plot/" + name + ".png"
plot([[js_uni, js1, js2]], output_path)
# analyse each results in multi-programming
js_list = []
num_bit_list = [3, 3]
for qis, xa, sim, num_bit in zip(qiskit_dict['each_counts'],
xa_dict['each_counts'],
sim_dict['each_counts'], num_bit_list):
js1, js2, js_uni = analyse(_sort_by_key(qis),
_sort_by_key(xa),
_sort_by_key(sim),
num_bit=num_bit)
print(js1, js2, js_uni)
js_list.append([js_uni, js1, js2])
output_path = "/Users/Yasuhiro/Documents/aqua/gp/experiments/data/ibmq_toronto/plot/" + name + "_each.png"
plot(listlist=js_list, output_path=output_path)
