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Commit fecb249

Browse files
author
v_anyuhe
committed
add to_tqasm test
1 parent ea6f217 commit fecb249

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5 files changed

+310
-0
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5 files changed

+310
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lines changed

‎tests/01_test_gate.py‎

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import sys
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import os
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import matplotlib.pyplot as plt
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# Add the directory containing your module to Python's search path
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module_path = ".."
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sys.path.insert(0, module_path)
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from tensorcircuit import Circuit, Param, gates, waveforms
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from tensorcircuit.cloud.apis import submit_task, get_device, set_provider, set_token, list_devices, list_properties
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import re
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# from dotenv import load_dotenv
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# load_dotenv()
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shots_const = 1000
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print("✅ TEST FILE LOADED")
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set_token(os.getenv("TOKEN"))
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set_provider("tencent")
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ds = list_devices()
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print(ds)
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def gen_gate_circuit(t):
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qc = Circuit(2)
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qc.h(0)
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qc.cnot(0, 1)
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return qc
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def run_circuit(qc):
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device_name = "tianji_s2"
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d = get_device(device_name)
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t = submit_task(
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circuit=qc,
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shots=shots_const,
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device=d,
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enable_qos_gate_decomposition=False,
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enable_qos_qubit_mapping=False,
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)
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# print(qc.to_tqasm())
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# n = qc._nqubits
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rf = t.results()
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print(rf)
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qc = gen_gate_circuit(1.0)
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result = run_circuit(qc)

‎tests/02_test_param_pulse.py‎

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import sys
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import os
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import matplotlib.pyplot as plt
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# Add the directory containing your module to Python's search path
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module_path = ".."
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sys.path.insert(0, module_path)
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from tensorcircuit import Circuit, Param, gates, waveforms
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from tensorcircuit.cloud.apis import submit_task, get_device, set_provider, set_token, list_devices, list_properties
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import re
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# from dotenv import load_dotenv
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# load_dotenv()
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shots_const = 1000
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print("✅ TEST FILE LOADED")
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set_token(os.getenv("TOKEN"))
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set_provider("tencent")
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ds = list_devices()
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print(ds)
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def gen_parametric_waveform_circuit(t):
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qc = Circuit(2)
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param0 = Param("a")
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# 需根据以下定义的方式,修改代码
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builder = qc.calibrate("basic_pulse", [param0])
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frame = builder.new_frame("drive_frame", param0)
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builder.play(frame, waveforms.CosineDrag(t, 0.2, 0.0, 0.0))
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builder.build()
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qc.add_calibration(builder, [0])
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# print(qc.to_tqasm())
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return qc
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def run_circuit(qc):
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device_name = "tianji_s2"
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d = get_device(device_name)
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t = submit_task(
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circuit=qc,
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shots=shots_const,
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device=d,
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enable_qos_gate_decomposition=False,
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enable_qos_qubit_mapping=False,
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)
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# print(qc.to_tqasm())
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# n = qc._nqubits
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rf = t.results()
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print(rf)
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qc = gen_parametric_waveform_circuit(1.0)
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result = run_circuit(qc)

‎tests/03_test_gate_pulse_mix.py‎

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import sys
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import os
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import matplotlib.pyplot as plt
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# Add the directory containing your module to Python's search path
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module_path = ".."
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sys.path.insert(0, module_path)
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from tensorcircuit import Circuit, Param, gates, waveforms
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from tensorcircuit.cloud.apis import submit_task, get_device, set_provider, set_token, list_devices, list_properties
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import re
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# from dotenv import load_dotenv
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# load_dotenv()
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shots_const = 1000
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print("✅ TEST FILE LOADED")
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set_token(os.getenv("TOKEN"))
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set_provider("tencent")
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ds = list_devices()
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print(ds)
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def gen_gate_pulse_mix_circuit(t):
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qc = Circuit(2)
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param0 = Param("a")
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builder = qc.calibrate("basic_pulse", [param0])
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frame = builder.new_frame("drive_frame", param0)
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builder.play(frame, waveforms.CosineDrag(t, 0.2, 0.0, 0.0))
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builder.build()
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qc.add_calibration(builder, [0])
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qc.i(0)
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qc.x(0)
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return qc
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def run_circuit(qc):
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device_name = "tianji_s2"
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d = get_device(device_name)
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t = submit_task(
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circuit=qc,
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shots=shots_const,
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device=d,
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enable_qos_gate_decomposition=False,
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enable_qos_qubit_mapping=False,
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)
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# print(qc.to_tqasm())
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# n = qc._nqubits
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rf = t.results()
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print(rf)
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qc = gen_gate_pulse_mix_circuit(1.0)
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result = run_circuit(qc)

‎tests/04_test_custom_chip.py‎

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import sys
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import os
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import matplotlib.pyplot as plt
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# Add the directory containing your module to Python's search path
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module_path = ".."
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sys.path.insert(0, module_path)
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from tensorcircuit import Circuit, Param, gates, waveforms
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from tensorcircuit.cloud.apis import submit_task, get_device, set_provider, set_token, list_devices, list_properties
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import re
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# from dotenv import load_dotenv
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# load_dotenv()
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shots_const = 1000
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print("✅ TEST FILE LOADED")
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set_token(os.getenv("TOKEN"))
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set_provider("tencent")
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ds = list_devices()
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print(ds)
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def gen_custom_chip_circuit(t):
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qc = Circuit(2)
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# 需添加 MapQubits(user_addr, chip_addr),对应 #pragram的qubits.mapping
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# 需添加 GridQubit(left_user_addr, right_user_addr),对应 #pragram的qubits.coupling
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# 以下是两种映射方式
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qc.map_qubits([4,9,8,14])
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qc.map_qubits([4,9,8,14], [3,2,1,0])
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qc.i(0)
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qc.cnot(0)
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# print(qc.to_tqasm())
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return qc
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def gen_custom_chip_circuit(t):
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qc = Circuit(2)
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# 需添加 MapQubit(user_addr, chip_addr),对应 #pragram的qubits.mapping
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# 需添加 GridQubit(left_user_addr, right_user_addr),对应 #pragram的qubits.coupling
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qc.MapQubit(0, 4)
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qc.MapQubit(1, 9)
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qc.MapQubit(2, 8)
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qc.MapQubit(3, 14)
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qc.GridQubit(0, 1)
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qc.GridQubit(0, 2)
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qc.GridQubit(1, 3)
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qc.i(0)
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qc.cnot(0)
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# print(qc.to_tqasm())
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return qc
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def run_circuit(qc):
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device_name = "tianji_s2"
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d = get_device(device_name)
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t = submit_task(
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circuit=qc,
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shots=shots_const,
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device=d,
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enable_qos_gate_decomposition=False,
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enable_qos_qubit_mapping=False,
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)
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# print(qc.to_tqasm())
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# n = qc._nqubits
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rf = t.results()
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print(rf)
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qc = gen_gate_pulse_mix_circuit(1.0)
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result = run_circuit(qc)

‎tests/05_test_multi_measure.py‎

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import sys
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import os
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import matplotlib.pyplot as plt
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# Add the directory containing your module to Python's search path
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module_path = ".."
7+
sys.path.insert(0, module_path)
8+
9+
from tensorcircuit import Circuit, Param, gates, waveforms
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from tensorcircuit.cloud.apis import submit_task, get_device, set_provider, set_token, list_devices, list_properties
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import re
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# from dotenv import load_dotenv
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# load_dotenv()
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shots_const = 1000
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print("✅ TEST FILE LOADED")
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set_token(os.getenv("TOKEN"))
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set_provider("tencent")
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ds = list_devices()
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print(ds)
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def gen_multi_measure_circuit(t):
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qc = Circuit(6)
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qc.h(0)
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qc.cnot(0, 1)
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# 参数门在 to_tqasm 中的转换丢失了参数
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# qc.rxx(0, 5, theta=1.04632)
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# 需添加测量指令
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qc.measure(0, 1)
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qc.cz(0, 1)
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qc.measure(0, 1)
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# print(qc.to_tqasm())
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return qc
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def run_circuit(qc):
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device_name = "tianji_s2"
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d = get_device(device_name)
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t = submit_task(
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circuit=qc,
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shots=shots_const,
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device=d,
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enable_qos_gate_decomposition=False,
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enable_qos_qubit_mapping=False,
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)
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# print(qc.to_tqasm())
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# n = qc._nqubits
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rf = t.results() # 需返回 multi_results
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print(rf)
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qc = gen_multi_measure_circuit(1.0)
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result = run_circuit(qc)

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