#
# Copyright © 2022-2024 University of Strasbourg. All Rights Reserved.
# Copyright © 2032-2024 QPerfect. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import mimiqlink
import tempfile
import json
import os
import shutil
from mimiqcircuits.circuit import Circuit
from mimiqcircuits.qcsresults import QCSResults
from mimiqcircuits.__version__ import __version__
import numpy as np
from time import sleep
# maximum number of samples allowed
MAX_SAMPLES = 2**16
# default value for the number of samples
DEFAULT_SAMPLES = 1000
# minimum and maximum bond dimension allowed
MIN_BONDDIM = 1
MAX_BONDDIM = 2**12
# minimum and maximum entanglement dimension allowed
MIN_ENTDIM = 4
MAX_ENTDIM = 64
# default bond dimension
DEFAULT_BONDDIM = 256
# default entanglement dimension
DEFAULT_ENTDIM = 16
# default time limit
DEFAULT_TIME_LIMIT = 30
# default algorithm
DEFAULT_ALGORITHM = "auto"
RESULTSPB_FILE = "results.pb"
CIRCUIT_FNAME = "circuit"
EXTENSION_PROTO = "pb"
EXTENSION_QASM = "qasm"
EXTENSION_QASM = "stim"
TYPE_PROTO = "proto"
TYPE_QASM = "qasm"
TYPE_STIM = "stim"
class QCSError:
def __init__(self, error):
self.error = error
def __repr__(self):
return self.error
[docs]
class MimiqConnection(mimiqlink.MimiqConnection):
"""Represents a connection to the Mimiq Server.
Inherits from: mimiqlink.MimiqConnection python.
"""
def __get_timelimit(self):
"""Fetch the maximum time limit for execution from the server."""
limits = self.user_limits
if limits and limits.get("enabledMaxTimeout"):
return limits.get("maxTimeout", DEFAULT_TIME_LIMIT)
return DEFAULT_TIME_LIMIT
[docs]
def execute(
self,
circuits, # Can be a single Circuit object or a list of Circuit objects or QASM file paths
label="pyapi_v" + __version__,
algorithm=DEFAULT_ALGORITHM,
nsamples=DEFAULT_SAMPLES,
bitstrings=None,
timelimit=None,
bonddim=None,
entdim=None,
seed=None,
qasmincludes=None,
force=False,
**kwargs,
):
"""
Execute a circuit or a list of quantum circuits on the Mimiq server.
Args:
circuits (Circuit or list of Circuits or str): A single Circuit object, a list of Circuit objects,
or QASM file paths representing the circuits to be executed.
label (str): A label for the execution. Defaults to "pyapi_v" + __version__.
algorithm (str): The algorithm to use. Defaults to "auto".
nsamples (int): The number of samples to collect. Defaults to DEFAULT_SAMPLES.
bitstrings (list of str, optional): Specific bitstrings to measure. Defaults to None.
timelimit (int, optional): The maximum execution time in minutes. Defaults to None.
bonddim (int, optional): The bond dimension to use. Defaults to None.
entdim (int, optional): The entanglement dimension to use. Defaults to None.
seed (int, optional): A seed for random number generation. Defaults to None.
qasmincludes (list of str, optional): Additional QASM includes. Defaults to None.
**kwargs: Additional keyword arguments.
Returns:
object: A handle to the execution, typically used to retrieve results.
Raises:
ValueError: If nsamples exceeds MAX_SAMPLES, bond/entanglement dimensions are out of bounds,
or if a circuit contains unevaluated symbolic parameters.
FileNotFoundError: If a QASM file is not found.
TypeError: If the circuits argument is not a Circuit object or a valid file path.
.. note::
You can also pass a single QASM file path as a string or a list of QASM file paths instead of Circuit objects.
This allows for executing circuits defined in the OpenQASM format directly.
Examples:
...
**Connecting to server**
>>> from mimiqcircuits import *
>>> import os
>>> conn = MimiqConnection(os.getenv("MIMIQCLOUD2"))
>>> conn.connect(os.getenv("MIMIQUSER"), os.getenv("MIMIQPASS"))
Connection:
├── url: https://mimiqfast.qperfect.io/api
├── Computing time: 597/10000 minutes
├── Executions: 452/10000
├── Max time limit per request: 180 minutes
└── status: open
<BLANKLINE>
>>> c = Circuit()
>>> c.push(GateH(), range(10))
10-qubit circuit with 10 instructions:
├── H @ q[0]
├── H @ q[1]
├── H @ q[2]
├── H @ q[3]
├── H @ q[4]
├── H @ q[5]
├── H @ q[6]
├── H @ q[7]
├── H @ q[8]
└── H @ q[9]
<BLANKLINE>
>>> job = conn.execute(c, algorithm="auto")
>>> res = conn.get_results(job)
>>> res
[QCSResults:
├── simulator: MIMIQ-StateVector 0.18.0
├── timings:
│ ├── parse time: 7.3677e-05s
│ ├── apply time: 2.4677e-05s
│ ├── total time: 0.000306075s
│ ├── compression time: 8.103e-06s
│ └── sample time: 0.000141276s
├── fidelity estimate: 1
├── average multi-qubit gate error estimate: 0
├── most sampled:
│ ├── bs"1100000001" => 7
│ ├── bs"1010110100" => 5
│ ├── bs"0010110110" => 4
│ ├── bs"1001010110" => 4
│ └── bs"1001100111" => 4
├── 1 executions
├── 0 amplitudes
└── 1000 samples]
**Prepare List of Circuits for execution (Batch-Mode)**
>>> c1 = Circuit()
>>> c1.push(Control(2, GateH()), 0, 1, 3)
4-qubit circuit with 1 instructions:
└── C₂H @ q[0,1], q[3]
<BLANKLINE>
>>> job = conn.execute([c,c1], algorithm="auto")
List of Results for all Circuits
>>> res = conn.get_results(job)
>>> res
[QCSResults:
├── simulator: MIMIQ-StateVector 0.18.0
├── timings:
│ ├── parse time: 0.00011103s
│ ├── apply time: 2.7497e-05s
│ ├── total time: 0.000326494s
│ ├── compression time: 8.657e-06s
│ └── sample time: 0.000110076s
├── fidelity estimate: 1
├── average multi-qubit gate error estimate: 0
├── most sampled:
│ ├── bs"1011011100" => 6
│ ├── bs"0110001101" => 4
│ ├── bs"0001011001" => 4
│ ├── bs"1011010010" => 4
│ └── bs"1000000001" => 4
├── 1 executions
├── 0 amplitudes
└── 1000 samples, QCSResults:
├── simulator: MIMIQ-StateVector 0.18.0
├── timings:
│ ├── parse time: 0.081798891s
│ ├── apply time: 0.277081657s
│ ├── total time: 0.43127283099999997s
│ ├── amplitudes time: 1.08e-07s
│ ├── compression time: 0.072055493s
│ └── sample time: 5.2623e-05s
├── fidelity estimate: 1
├── average multi-qubit gate error estimate: 0
├── most sampled:
│ └── bs"0000" => 1000
├── 1 executions
├── 0 amplitudes
└── 1000 samples]
Result of the first circuit
>>> res = conn.get_result(job)
Warning: Multiple results found. Returning the first one.
>>> res
QCSResults:
├── simulator: MIMIQ-StateVector 0.18.0
├── timings:
│ ├── parse time: 0.00011103s
│ ├── apply time: 2.7497e-05s
│ ├── total time: 0.000326494s
│ ├── compression time: 8.657e-06s
│ └── sample time: 0.000110076s
├── fidelity estimate: 1
├── average multi-qubit gate error estimate: 0
├── most sampled:
│ ├── bs"1011011100" => 6
│ ├── bs"0110001101" => 4
│ ├── bs"0001011001" => 4
│ ├── bs"1011010010" => 4
│ └── bs"1000000001" => 4
├── 1 executions
├── 0 amplitudes
└── 1000 samples
Input parameters and List of the input Circuits
>>> circs, parameters = conn.get_inputs(job)
Downloaded files: ['circuit1.pb', 'circuit2.pb', 'circuits.json', 'request.json']
>>> circs
[10-qubit circuit with 10 instructions:
├── H @ q[0]
├── H @ q[1]
├── H @ q[2]
├── H @ q[3]
├── H @ q[4]
├── H @ q[5]
├── H @ q[6]
├── H @ q[7]
├── H @ q[8]
└── H @ q[9]
, 4-qubit circuit with 1 instructions:
└── C₂H @ q[0,1], q[3]
]
>>> parameters
{'algorithm': 'auto', 'bitstrings': [], 'samples': 1000, 'seed': 1550300089630762344, 'circuits': [{'file': 'circuit1.pb', 'type': 'proto'}, {'file': 'circuit2.pb', 'type': 'proto'}], 'bondDimension': 256, 'entDimension': 16}
Input parameters and first input Circuit
>>> circ, parameters = conn.get_input(job)
Downloaded files: ['circuit1.pb', 'circuit2.pb', 'circuits.json', 'request.json']
Warning: Multiple results found. Returning the first one.
>>> circ
10-qubit circuit with 10 instructions:
├── H @ q[0]
├── H @ q[1]
├── H @ q[2]
├── H @ q[3]
├── H @ q[4]
├── H @ q[5]
├── H @ q[6]
├── H @ q[7]
├── H @ q[8]
└── H @ q[9]
<BLANKLINE>
>>> parameters
{'algorithm': 'auto', 'bitstrings': [], 'samples': 1000, 'seed': 1550300089630762344, 'circuits': [{'file': 'circuit1.pb', 'type': 'proto'}, {'file': 'circuit2.pb', 'type': 'proto'}], 'bondDimension': 256, 'entDimension': 16}
Connecting Using Credentials
----------------------------
.. code-block:: python
conn = MimiqConnection(url="https://mimiq.qperfect.io/api")
conn.connect("Email_address", "Password")
Saving and Loading Tokens
-------------------------
.. code-block:: python
conn.savetoken("qperfect.json")
conn.loadtoken("qperfect.json")
Closing a Connection and Checking Connection Status
---------------------------------------------------
.. code-block:: python
conn.close()
conn.isOpen()
"""
if nsamples > MAX_SAMPLES:
raise ValueError(f"nsamples must be less than {MAX_SAMPLES}")
if timelimit is None:
timelimit = self.__get_timelimit()
maxtimelimit = self.__get_timelimit()
if timelimit > maxtimelimit:
raise ValueError(
f"Timelimit cannot be set more than {maxtimelimit} minutes."
)
if bitstrings is None:
bitstrings = []
elif isinstance(circuits, Circuit):
nq = circuits.num_qubits()
for b in bitstrings:
if len(b) != nq:
raise ValueError(
"The number of qubits in the bitstring is not equal to the number of qubits in the circuit."
)
if seed is None:
seed = int(np.random.randint(0, np.iinfo(np.int_).max, dtype=np.int_))
# Set bond and entangling dimensions based on algorithm
if algorithm == "auto" or algorithm == "mps":
if bonddim is None:
bonddim = DEFAULT_BONDDIM
if entdim is None:
entdim = DEFAULT_ENTDIM
if bonddim is not None and (bonddim < MIN_BONDDIM or bonddim > MAX_BONDDIM):
raise ValueError(f"bonddim must be between {MIN_BONDDIM} and {MAX_BONDDIM}")
# Check for entdim constraint in specific algorithms
if algorithm in ["mps", "auto"]:
actual_entdim = DEFAULT_ENTDIM if entdim is None else entdim
if actual_entdim < MIN_ENTDIM and not force:
raise ValueError(f"entdim must be between {MIN_ENTDIM} and {MAX_ENTDIM}")
elif actual_entdim < MIN_ENTDIM and force:
print(f"Warning: Running simulation with entdim={actual_entdim}. Results may be misleading.")
with tempfile.TemporaryDirectory() as tmpdir:
allfiles = []
circuit_files = []
# Ensure circuits is a list
if isinstance(circuits, (Circuit, str)):
circuits = [circuits]
if len(circuits) > 1 and algorithm == "auto":
raise ValueError(
"The 'auto' algorithm is not supported in batch mode. Please specify 'mps' or 'statevector' for batch executions."
)
if not circuits:
raise ValueError("The provided list of circuits is empty. At least one circuit is required.")
for i, c in enumerate(circuits):
if not isinstance(c, (Circuit, str)):
raise TypeError(f"Invalid type at index {i}: expected Circuit or QASM file path, got {type(c).__name__}.")
if isinstance(c, Circuit) and len(c) == 0:
raise ValueError(f"Empty Circuit object at index {i} is not allowed.")
if isinstance(c, str) and not os.path.isfile(c):
raise ValueError(f"Invalid QASM file path at index {i}: {c} does not exist.")
for i, circuit in enumerate(circuits):
if isinstance(circuit, Circuit) and circuit.is_symbolic():
raise ValueError(
"The circuit contains unevaluated symbolic parameters and cannot be processed until all parameters are fully evaluated."
)
if isinstance(circuit, Circuit):
circuit_filename = os.path.join(
tmpdir, f"{CIRCUIT_FNAME}{i+1}.{EXTENSION_PROTO}"
)
circuit.saveproto(circuit_filename)
circuit_files.append(
{
"file": os.path.basename(circuit_filename),
"type": TYPE_PROTO,
}
)
allfiles.append(circuit_filename)
elif isinstance(circuit, str):
if not os.path.isfile(circuit):
raise FileNotFoundError(f"QASM file {circuit} not found.")
circuit_filename = os.path.join(
tmpdir, f"{CIRCUIT_FNAME}{i+1}.{EXTENSION_QASM}"
)
shutil.copyfile(circuit, circuit_filename)
if qasmincludes is None:
qasmincludes = []
circuit_files.append(
{
"file": os.path.basename(circuit_filename),
"type": TYPE_QASM,
}
)
allfiles.append(circuit_filename)
else:
raise TypeError(
"circuits must be Circuit objects or paths to QASM files"
)
jsonbitstrings = ["bs" + o.to01() for o in bitstrings]
pars = {
"algorithm": algorithm,
"bitstrings": jsonbitstrings,
"samples": nsamples,
"seed": seed,
"circuits": circuit_files,
}
if bonddim is not None:
pars["bondDimension"] = bonddim
if entdim is not None:
pars["entDimension"] = entdim
# Add any additional keyword arguments
pars.update(kwargs)
# Save the parameters to a JSON file
pars_filename = os.path.join(tmpdir, "circuits.json")
with open(pars_filename, "w") as f:
json.dump(pars, f)
# Prepare the request
req = {
"executor": "Circuits",
"timelimit": timelimit,
"apilang": "python",
"apiversion": __version__,
"circuitsapiversion": __version__,
}
reqfile = os.path.join(tmpdir, "request.json")
with open(reqfile, "w") as f:
json.dump(req, f)
# Make the request to the server
emutype = "CIRC"
return self.request(
emutype,
algorithm,
label,
timelimit,
[reqfile, pars_filename] + allfiles,
)
[docs]
def get_results(self, execution, interval=1):
"""Retrieve the results of a completed execution.
Args:
execution (str): The execution identifier.
interval (int): The interval (in seconds) for checking job status (default: 1).
Returns:
List[QCSResults]: A list of QCSResults instances.
Raises:
RuntimeError: If the remote job encounters an error.
"""
# Wait for the job to finish
while not self.isJobDone(execution):
sleep(interval)
infos = self.requestInfo(execution)
if infos["status"] == "ERROR":
error_message = infos.get("errorMessage", "Remote job errored.")
raise RuntimeError(f"Remote job errored: {error_message}")
elif infos["status"] == "CANCELED":
raise RuntimeError("Remote job canceled.")
with tempfile.TemporaryDirectory(prefix="mimiq_res_") as tmpdir:
names = self.downloadResults(execution, destdir=tmpdir)
results_file_path = os.path.join(tmpdir, "results.json")
if "results.json" not in names or not os.path.isfile(results_file_path):
raise RuntimeError(f"No results found in execution {execution}.")
with open(results_file_path, "r") as f:
results_list = json.load(f)
results = []
for result in results_list:
if "error" in result:
results.append(QCSError(result["error"]))
else:
fname = os.path.join(tmpdir, result["file"])
if not os.path.isfile(fname):
raise RuntimeError(f"Missing result file {fname}")
results.append(QCSResults.loadproto(fname))
return results
[docs]
def get_result(self, execution, **kwargs):
"""Retrieve the first result if multiple are found.
Args:
execution (str): The execution identifier.
**kwargs: Additional keyword arguments for result retrieval.
Returns:
QCSResults: The first result found.
Raises:
RuntimeWarning: If multiple results are found.
"""
results = self.get_results(execution, **kwargs)
if len(results) > 1:
print("Warning: Multiple results found. Returning the first one.")
return results[0]
__all__ = ["MimiqConnection"]
