module 'cirq.study' has no attribute 'ResultDict'

[RubensZimbres]

Hello, I'm following the Colab notebook at https://www.tensorflow.org/quantum/tutorials/hello_many_worlds, downloaded the code and I'm running on Visual Studio. When I installed cirq for the first time, it worked. Now that I installed tensorflow-quantum==0.72 and tensorflow==2.7.0 I get the above error.

I created a Python 3.8 environment in Anaconda and installed tensorflow==2.7.0 and tensorflow-quantum==0.7.2

When I run:

import simpy import cirq

I get the following error:

AttributeError: module 'cirq.study' has no attribute 'ResultDict'

Also,
tensorflow-quantum 0.7.2 requires cirq-core==0.13.1, but you have cirq-core 1.0.0 which is incompatible. tensorflow-quantum 0.7.2 requires protobuf==3.17.3, but you have protobuf 3.20.1 which is incompatible.

! pip install cirq-core==0.13.1 ! pip install protobuf==3.17.3

But it didn't work.

Details of the error:

`---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Input In [2], in <cell line: 2>()
1 import tensorflow as tf
----> 2 import tensorflow_quantum as tfq
4 import sympy
5 import cirq

File ~/.local/lib/python3.8/site-packages/tensorflow_quantum/init.py:18, in
15 """Module functions for tensorflow_quantum.*"""
17 # Import basic ops and op getters.
---> 18 from tensorflow_quantum.core import (append_circuit, get_expectation_op,
19 get_sampled_expectation_op,
20 get_sampling_op, get_state_op,
21 get_unitary_op, padded_to_ragged,
22 padded_to_ragged2d, resolve_parameters)
24 # Import math ops.
25 from tensorflow_quantum.core import math_ops as math

File ~/.local/lib/python3.8/site-packages/tensorflow_quantum/core/init.py:17, in
15 """Imports to tensorflow_quantum.core.* level."""
16 # Import getters for constructing ops.
---> 17 from tensorflow_quantum.core.ops import (get_expectation_op,
18 get_sampled_expectation_op,
19 get_sampling_op, get_state_op,
20 get_unitary_op)
21 # Import regular ops.
22 from tensorflow_quantum.core.ops import (append_circuit, padded_to_ragged,
23 padded_to_ragged2d, resolve_parameters)

File ~/.local/lib/python3.8/site-packages/tensorflow_quantum/core/ops/init.py:18, in
15 """Module for tfq.core.ops.*"""
17 # Import getters for constructing ops.
---> 18 from tensorflow_quantum.core.ops.circuit_execution_ops import (
19 get_expectation_op, get_sampled_expectation_op, get_sampling_op,
20 get_state_op)
22 from tensorflow_quantum.core.ops.tfq_unitary_op import get_unitary_op
23 from tensorflow_quantum.core.ops.tfq_utility_ops import (append_circuit,
24 padded_to_ragged,
25 padded_to_ragged2d,
26 resolve_parameters)

File ~/.local/lib/python3.8/site-packages/tensorflow_quantum/core/ops/circuit_execution_ops.py:18, in
15 """A module for user-facing generators of tfq ops."""
16 import enum
---> 18 import cirq
20 from tensorflow_quantum.core.ops import (cirq_ops, tfq_simulate_ops,
21 tfq_utility_ops)
22 from tensorflow_quantum.python import quantum_context

File ~/.local/lib/python3.8/site-packages/cirq/init.py:624, in
616 # pylint: enable=redefined-builtin
617
618 # Unflattened sub-modules.
620 from cirq import (
621 testing,
622 )
--> 624 _compat.deprecated_submodule(
625 new_module_name='cirq_google',
626 old_parent=name,
627 old_child='google',
628 deadline="v0.14",
629 create_attribute=True,
630 )
632 _compat.deprecated_submodule(
633 new_module_name='cirq_aqt',
634 old_parent=name,
(...)
637 create_attribute=True,
638 )
641 _compat.deprecated_submodule(
642 new_module_name='cirq_ionq',
643 old_parent=name,
(...)
646 create_attribute=True,
647 )

File ~/.local/lib/python3.8/site-packages/cirq/_compat.py:626, in deprecated_submodule(new_module_name, old_parent, old_child, deadline, create_attribute)
624 if create_attribute:
625 try:
--> 626 new_module = importlib.import_module(new_module_name)
627 _setup_deprecated_submodule_attribute(
628 new_module_name, old_parent, old_child, deadline, new_module
629 )
630 except ImportError as ex:

File /usr/lib/python3.8/importlib/init.py:127, in import_module(name, package)
125 break
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)

File ~/.local/lib/python3.8/site-packages/cirq_google/init.py:23, in
19 from cirq_google import api
21 from cirq_google._version import version
---> 23 from cirq_google.calibration import (
24 ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
25 CircuitWithCalibration,
26 FloquetPhasedFSimCalibrationOptions,
27 FloquetPhasedFSimCalibrationRequest,
28 FSimPhaseCorrections,
29 PhasedFSimCalibrationError,
30 PhasedFSimCalibrationOptions,
31 PhasedFSimCalibrationRequest,
32 PhasedFSimCalibrationResult,
33 PhasedFSimCharacterization,
34 PhasedFSimEngineSimulator,
35 XEBPhasedFSimCalibrationOptions,
36 XEBPhasedFSimCalibrationRequest,
37 LocalXEBPhasedFSimCalibrationOptions,
38 LocalXEBPhasedFSimCalibrationRequest,
39 SQRT_ISWAP_INV_PARAMETERS,
40 THETA_ZETA_GAMMA_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
41 make_zeta_chi_gamma_compensation_for_moments,
42 make_zeta_chi_gamma_compensation_for_operations,
43 merge_matching_results,
44 prepare_characterization_for_circuits_moments,
45 prepare_floquet_characterization_for_moments,
46 prepare_characterization_for_moments,
47 prepare_floquet_characterization_for_moment,
48 prepare_characterization_for_moment,
49 prepare_floquet_characterization_for_operations,
50 prepare_characterization_for_operations,
51 run_calibrations,
52 run_floquet_characterization_for_moments,
53 run_zeta_chi_gamma_compensation_for_moments,
54 try_convert_sqrt_iswap_to_fsim,
55 WITHOUT_CHI_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
56 )
58 from cirq_google.devices import (
59 GoogleNoiseProperties,
60 GridDevice,
(...)
63 Sycamore23,
64 )
66 from cirq_google.engine import (
67 Calibration,
68 CalibrationLayer,
(...)
82 noise_properties_from_calibration,
83 )

File ~/.local/lib/python3.8/site-packages/cirq_google/calibration/init.py:17, in
1 # Copyright 2021 The Cirq Developers
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
15 """Functions for calling the calibration API and characterizing qubits."""
---> 17 from cirq_google.calibration.engine_simulator import PhasedFSimEngineSimulator
19 from cirq_google.calibration.phased_fsim import (
20 ALL_ANGLES_FLOQUET_PHASED_FSIM_CHARACTERIZATION,
21 FloquetPhasedFSimCalibrationOptions,
(...)
38 try_convert_syc_or_sqrt_iswap_to_fsim,
39 )
41 from cirq_google.calibration.workflow import (
42 CircuitWithCalibration,
43 FSimPhaseCorrections,
(...)
55 run_zeta_chi_gamma_compensation_for_moments,
56 )

File ~/.local/lib/python3.8/site-packages/cirq_google/calibration/engine_simulator.py:32, in
30 import cirq
31 from cirq import value
---> 32 from cirq_google.calibration.phased_fsim import (
33 FloquetPhasedFSimCalibrationRequest,
34 PhaseCalibratedFSimGate,
35 IncompatibleMomentError,
36 PhasedFSimCalibrationRequest,
37 PhasedFSimCalibrationResult,
38 PhasedFSimCharacterization,
39 SQRT_ISWAP_INV_PARAMETERS,
40 try_convert_gate_to_fsim,
41 try_convert_sqrt_iswap_to_fsim,
42 )
44 ParametersDriftGenerator = Callable[[cirq.Qid, cirq.Qid, cirq.FSimGate], PhasedFSimCharacterization]
45 PhasedFsimDictParameters = Dict[
46 Tuple[cirq.Qid, cirq.Qid], Union[Dict[str, float], PhasedFSimCharacterization]
47 ]

File ~/.local/lib/python3.8/site-packages/cirq_google/calibration/phased_fsim.py:44, in
42 from cirq.experiments.xeb_fitting import XEBPhasedFSimCharacterizationOptions
43 from cirq_google.api import v2
---> 44 from cirq_google.engine import (
45 Calibration,
46 CalibrationLayer,
47 CalibrationResult,
48 Engine,
49 EngineJob,
50 util,
51 )
52 from cirq_google.ops import FSimGateFamily, SycamoreGate
54 if TYPE_CHECKING:

File ~/.local/lib/python3.8/site-packages/cirq_google/engine/init.py:18, in
1 # Copyright 2018 The Cirq Developers
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
15 """Client for running on Google's Quantum Engine.
16 """
---> 18 from cirq_google.engine.abstract_engine import AbstractEngine
20 from cirq_google.engine.abstract_job import AbstractJob
22 from cirq_google.engine.abstract_processor import AbstractProcessor

File ~/.local/lib/python3.8/site-packages/cirq_google/engine/abstract_engine.py:26, in
24 import cirq
25 from cirq_google.cloud import quantum
---> 26 from cirq_google.engine import abstract_job, abstract_program, abstract_processor
28 VALID_DATE_TYPE = Union[datetime.datetime, datetime.date]
31 class AbstractEngine(abc.ABC):

File ~/.local/lib/python3.8/site-packages/cirq_google/engine/abstract_job.py:23, in
21 import cirq
22 from cirq_google.cloud import quantum
---> 23 from cirq_google.engine.engine_result import EngineResult
25 if TYPE_CHECKING:
26 import datetime

File ~/.local/lib/python3.8/site-packages/cirq_google/engine/engine_result.py:25, in
21 if TYPE_CHECKING:
22 import cirq
---> 25 class EngineResult(study.ResultDict):
26 """A ResultDict with additional job metadata.
27
28 Please see the documentation for cirq.ResultDict for more information.
(...)
32 job_finished_time: A timestamp for when the job finished.
33 """
35 def init(
36 self,
37 *, # Forces keyword args.
(...)
42 records: Optional[Mapping[str, np.ndarray]] = None,
43 ):

AttributeError: module 'cirq.study' has no attribute 'ResultDict'`

[lockwo]

Are you on windows or Linux?

[RubensZimbres]

I'm on Linux, Ubuntu 20.04. I managed to get rid of the error, but now I'm getting:

AttributeError: partially initialized module 'cirq' has no attribute 'TwoQubitCompilationTargetGateset' (most likely due to a circular import)

pip-list

Package Version

---

absl-py 1.2.0
asttokens 2.0.5
astunparse 1.6.3
attrs 20.3.0
backcall 0.2.0
cachetools 4.2.4
certifi 2022.6.15
charset-normalizer 2.1.0
cirq-aqt 1.0.0
cirq-core 0.13.1
cirq-google 0.13.1
cirq-ionq 1.0.0
cirq-pasqal 1.0.0
cirq-rigetti 1.0.0
cirq-web 1.0.0
cycler 0.11.0
debugpy 1.6.2
decorator 5.1.1
duet 0.2.7
entrypoints 0.4
executing 0.9.1
flatbuffers 2.0
fonttools 4.34.4
freezegun 0.3.15
gast 0.4.0
google-api-core 1.21.0
google-api-python-client 1.11.0
google-auth 1.18.0
google-auth-httplib2 0.1.0
google-auth-oauthlib 0.4.6
google-pasta 0.2.0
googleapis-common-protos 1.56.0
grpcio 1.47.0
h11 0.9.0
h5py 3.7.0
httpcore 0.11.1
httplib2 0.20.4
httpx 0.15.5
idna 3.3
importlib-metadata 4.12.0
ipykernel 6.15.1
ipython 8.4.0
iso8601 1.0.2
jedi 0.18.1
jupyter-client 7.3.4
jupyter-core 4.11.1
keras 2.7.0
Keras-Preprocessing 1.1.2
kiwisolver 1.4.4
lark 0.11.3
libclang 14.0.6
Markdown 3.4.1
MarkupSafe 2.1.1
matplotlib 3.5.2
matplotlib-inline 0.1.3
mpmath 1.2.1
msgpack 0.6.2
nest-asyncio 1.5.5
networkx 2.8.5
numpy 1.23.1
oauthlib 3.2.0
opt-einsum 3.3.0
packaging 21.3
pandas 1.4.3
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.2.0
pip 22.1.2
prompt-toolkit 3.0.30
proto-plus 1.20.6
protobuf 3.17.3
psutil 5.9.1
ptyprocess 0.7.0
pure-eval 0.2.2
py 1.11.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pydantic 1.9.1
Pygments 2.12.0
PyJWT 2.4.0
pyparsing 3.0.9
pyquil 3.2.1
python-dateutil 2.8.2
python-rapidjson 1.8
pytz 2022.1
pyzmq 23.2.0
qcs-api-client 0.21.1
requests 2.28.1
requests-oauthlib 1.3.1
retry 0.9.2
retrying 1.3.3
rfc3339 6.2
rfc3986 1.5.0
rpcq 3.10.0
rsa 4.9
ruamel.yaml 0.17.21
ruamel.yaml.clib 0.2.6
scipy 1.9.0
setuptools 63.4.2
six 1.16.0
sniffio 1.2.0
sortedcontainers 2.4.0
stack-data 0.3.0
sympy 1.8
tensorboard 2.9.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.7.0
tensorflow-estimator 2.7.0
tensorflow-io-gcs-filesystem 0.26.0
tensorflow-quantum 0.7.2
termcolor 1.1.0
toml 0.10.2
tornado 6.2
tqdm 4.64.0
traitlets 5.3.0
typing_extensions 4.3.0
uritemplate 3.0.1
urllib3 1.26.11
wcwidth 0.2.5
Werkzeug 2.2.1
wheel 0.37.1
wrapt 1.14.1
zipp 3.8.1

[lockwo]

I haven't done much with the 0.7 versions, I can look into more if there is something specific you are looking to use the 0.7 version for. If not, I might recommend installing the latest release build (0.6.1, https://github.com/tensorflow/quantum/releases/tag/v0.6.1). I believe most of the changes from 0.6 to 0.7 are minor e.g. bumping versions (for cirq and qsim).

[RubensZimbres]

Thanks very much, tensorflow==0.6.1 worked, no errors.