def execute_set3(xtalk_date, today):
experiments_path = '/Users/rum/Documents/aqua/gp/experiments'
errorinfo_path = '/Users/rum/Documents/aqua/gp/errors_information'
# prepare benchmark qc
name_list_set = load_gspread(worksheet_name='set_3',
num_set=10,
num_qc=3,
shift=3)
qc_path = experiments_path + '/xtalk_compiler/benchmark_qc/qasmbench.pickle'
for label, name_list in enumerate(name_list_set):
try:
qasmbench = PrepQASMBench(name_list, qc_path)
qc_list = qasmbench.qc_list()
# prepare execution environment
backend = get_IBM_backend('ibmq_toronto')
simulator = get_IBM_backend('ibmq_qasm_simulator')
shots_single = 8192
shots_multi = 8192
xtalk_prop = pickle_load(
errorinfo_path +
'/toronto_from20201224/xtalk_data_daily/ratio/' +
str(xtalk_date) + '.pickle')
save_path = experiments_path + '/xtalk_compiler/ibmq_toronto/job_id/' + str(
today) + '_set3/' + str(label) + '.pickle'
data = execute_xtalk(qc_list, backend, simulator, shots_single,
shots_multi, xtalk_prop, save_path)
pprint(data)
except:
print('Failed: set3 label:', label, ' ', name_list)
def execute_set4():
# prepare benchmark qc
name_list_set = load_gspread(worksheet_name='set_4',
num_set=11,
num_qc=4,
shift=4)
qc_path = '/Users/Yasuhiro/Documents/aqua/gp/experiments/xtalk_compiler/benchmark_qc/qasmbench.pickle'
for label, name_list in enumerate(name_list_set):
qasmbench = PrepQASMBench(name_list, qc_path)
qc_list = qasmbench.qc_list()
# prepare execution environment
backend = get_IBM_backend('ibmq_toronto')
simulator = get_IBM_backend('ibmq_qasm_simulator')
shots_single = 8192
shots_multi = 8192
xtalk_prop = pickle_load(
'/Users/Yasuhiro/Documents/aqua/gp/errors_information/toronto_from20201224/xtalk_data_daily/ratio/2021-01-19.pickle'
)
save_path = '/Users/Yasuhiro/Documents/aqua/gp/experiments/xtalk_compiler/ibmq_toronto/job_id/2021-01-19_set4/' + str(
label) + '.pickle'
data = execute_xtalk(qc_list, backend, simulator, shots_single,
shots_multi, xtalk_prop, save_path)
pprint(data)
def test_xtalkadaptivelayout():
name_list_set = load_gspread(worksheet_name='set_3', num_set=10, num_qc=3, shift=3)
name_list = name_list_set[9]
print(name_list)
qc_path = '/Users/Yasuhiro/Documents/aqua/gp/experiments/xtalk_compiler/benchmark_qc/qasmbench.pickle'
qasmbench = PrepQASMBench(name_list, qc_path)
qc_list = qasmbench.qc_list()
backend = get_IBM_backend('ibmq_toronto')
shots_multi = 1000
xtalk_prop = {(16, 19): {}, (1, 4): {(7, 10): 1.5523922159364776, (1, 4): 1.0}, (22, 25): {(4, 7): 1.373897836294811, (10, 12): 1.24005278534089, (12, 15): 1.2650717924862478, (14, 13): 1.2295727510296106, (22, 25): 1.0}, (11, 14): {}, (0, 1): {}, (1, 2): {}, (2, 3): {(5, 8): 1.9828579923816556, (19, 20): 1.187980385590695, (2, 3): 1.0}, (4, 7): {(10, 12): 1.4782839452414733, (4, 7): 1.0}, (3, 5): {(8, 11): 1.1101731182299803, (3, 5): 1.0}, (5, 8): {(2, 3): 3.8982912112371535, (5, 8): 1.0}, (7, 6): {}, (7, 10): {(1, 4): 1.384978600658456, (12, 15): 3.716655801629963, (16, 19): 1.0479045105542835, (7, 10): 1.0}, (8, 9): {}, (8, 11): {}, (10, 12): {(4, 7): 4.584756718619288, (14, 13): 3.3950730369059334, (15, 18): 3.7004301070979504, (10, 12): 1.0}, (12, 13): {(11, 14): 1.6664397082756501, (12, 13): 1.0}, (12, 15): {(7, 10): 3.399583065550418, (14, 13): 3.2251935324570224, (12, 15): 1.0}, (14, 13): {(8, 11): 3.704876525263742, (10, 12): 4.890490951462605, (12, 15): 7.076589040196085, (14, 13): 1.0}, (14, 16): {(8, 11): 1.0959863890724943, (14, 16): 1.0}, (15, 18): {(10, 12): 1.7782238443072769, (15, 18): 1.0}, (18, 17): {}, (18, 21): {(18, 21): 1.0}}
# transpile
qc_multi = multi_transpile(
qc_list, backend=backend,
instruction_durations=None,
basis_gates=['id', 'rz', 'sx', 'x', 'cx'],
layout_method='xtalk_adaptive', xtalk_prop=xtalk_prop,
)
# run combined qc job
# qobj_multi = assemble(experiments=qc_multi, backend=backend, shots=shots_multi)
# job_multi = backend.run(qobj_multi)
# print(job_multi.job_id())
def execute_alap(size: str,
names: List[str],
backend,
simulator,
shots,
nseed,
save_path=None,
instruction_durations=None):
"""
size: 'small', 'medium', 'large'
names: List of names of the benchmark circuits
"""
_qc_list = PrepQASMBench.multi_circuits(size=size, names=names)
qc_sim = multi_transpile(_qc_list, backend=simulator)
qc = multi_transpile(
_qc_list,
backend=backend,
basis_gates=[
'id', 'u1', 'u2', 'u3', 'cx', 'delay', 'u3cx', 'barrier',
'snapshot', 'measure', 'reset'
],
layout_method='xtalk_adaptive',
xtalk_prop={},
)
qc_alap = multi_transpile(
_qc_list,
backend=backend,
scheduling_method='as_late_as_possible',
instruction_durations=instruction_durations,
basis_gates=[
'id', 'u1', 'u2', 'u3', 'cx', 'delay', 'u3cx', 'barrier',
'snapshot', 'measure', 'reset'
],
layout_method='xtalk_adaptive',
xtalk_prop={},
)
job_sim, job, job_alap, job_id_sim, job_id, job_id_alap = _execute(
backend, simulator, shots, qc_sim, qc, qc_alap, nseed)
if save_path:
_save_experiments(qc_sim, qc, qc_alap, job_id_sim, job_id, job_id_alap,
names, nseed, save_path)
return job_sim, job, job_alap
def debug_benchmark_prop():
bench = PrepQASMBench(size="small")
bp = bench.benchmark_prop()
pprint(bp)
return bp
def save_medium_bench():
path = '/Users/Yasuhiro/Documents/aqua/gp/experiments/alap_scheduling/benchmarks/qasmbench_medium.pickle'
bench = PrepQASMBench(size="medium")
obj = bench.benchmark_prop()
PrepQASMBench.save_pickle(obj, path)
def save_small_bench():
path = '/Users/Yasuhiro/Documents/aqua/gp/experiments/alap_scheduling/benchmarks/qasmbench_small.pickle'
obj = debug_benchmark_prop()
PrepQASMBench.save_pickle(obj, path)
