How to install tensorflow quantum at Google Colab?

----What i use to install tensorflow quantum-----------
!pip3 install --upgrade pip

!pip3 install -U tensorflow

!pip3 install -U cirq

!pip3 install -U tensorflow-quantum

-------------------------I always get this error------------------
ERROR: Could not find a version that satisfies the requirement tensorflow-quantum (from versions: none)
ERROR: No matching distribution found for tensorflow-quantum

how can i fix it

----------------list of packages------------------
Package Version


absl-py 1.4.0
aiohttp 3.8.5
aiosignal 1.3.1
alabaster 0.7.13
albumentations 1.2.1
altair 4.2.2
anyio 3.7.1
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
array-record 0.4.0
arviz 0.15.1
astropy 5.2.2
astunparse 1.6.3
async-timeout 4.0.2
attrs 21.4.0
audioread 3.0.0
autograd 1.6.2
Babel 2.12.1
backcall 0.2.0
beautifulsoup4 4.11.2
bleach 6.0.0
blinker 1.4
blis 0.7.10
blosc2 2.0.0
bokeh 3.1.1
branca 0.6.0
build 0.10.0
CacheControl 0.13.1
cachetools 5.3.1
catalogue 2.0.9
certifi 2023.7.22
cffi 1.15.1
chardet 4.0.0
charset-normalizer 2.0.12
chex 0.1.7
cirq 1.2.0
cirq-aqt 1.2.0
cirq-core 1.2.0
cirq-ft 1.2.0
cirq-google 1.2.0
cirq-ionq 1.2.0
cirq-pasqal 1.2.0
cirq-rigetti 1.2.0
cirq-web 1.2.0
click 8.1.6
click-plugins 1.1.1
cligj 0.7.2
cloudpickle 2.2.1
cmake 3.25.2
cmdstanpy 1.1.0
colorcet 3.0.1
colorlover 0.3.0
community 1.0.0b1
confection 0.1.0
cons 0.4.6
contextlib2 21.6.0
contourpy 1.1.0
convertdate 2.4.0
cryptography 3.4.8
cufflinks 0.17.3
cvxopt 1.3.1
cvxpy 1.3.2
cycler 0.11.0
cymem 2.0.7
Cython 0.29.36
dask 2022.12.1
datascience 0.17.6
db-dtypes 1.1.1
dbus-python 1.2.18
debugpy 1.6.6
decorator 4.4.2
defusedxml 0.7.1
distributed 2022.12.1
distro 1.7.0
dlib 19.24.2
dm-tree 0.1.8
docutils 0.18.1
dopamine-rl 4.0.6
duckdb 0.8.1
duet 0.2.9
earthengine-api 0.1.361
easydict 1.10
ecos 2.0.12
editdistance 0.6.2
en-core-web-sm 3.5.0
entrypoints 0.4
ephem 4.1.4
et-xmlfile 1.1.0
etils 1.4.0
etuples 0.3.9
exceptiongroup 1.1.2
fastai 2.7.12
fastcore 1.5.29
fastdownload 0.0.7
fastjsonschema 2.18.0
fastprogress 1.0.3
fastrlock 0.8.1
filelock 3.12.2
Fiona 1.9.4.post1
firebase-admin 5.3.0
Flask 2.2.5
flatbuffers 23.5.26
flax 0.7.0
folium 0.14.0
fonttools 4.41.1
frozendict 2.3.8
frozenlist 1.4.0
fsspec 2023.6.0
future 0.18.3
gast 0.4.0
gcsfs 2023.6.0
GDAL 3.4.3
gdown 4.6.6
gensim 4.3.1
geographiclib 2.0
geopandas 0.13.2
geopy 2.3.0
gin-config 0.5.0
glob2 0.7
google 2.0.3
google-api-core 2.11.1
google-api-python-client 2.84.0
google-auth 2.17.3
google-auth-httplib2 0.1.0
google-auth-oauthlib 1.0.0
google-cloud-bigquery 3.10.0
google-cloud-bigquery-connection 1.12.1
google-cloud-bigquery-storage 2.22.0
google-cloud-core 2.3.3
google-cloud-datastore 2.15.2
google-cloud-firestore 2.11.1
google-cloud-functions 1.13.1
google-cloud-language 2.9.1
google-cloud-storage 2.8.0
google-cloud-translate 3.11.2
google-colab 1.0.0
google-crc32c 1.5.0
google-pasta 0.2.0
google-resumable-media 2.5.0
googleapis-common-protos 1.59.1
googledrivedownloader 0.4
graphviz 0.20.1
greenlet 2.0.2
grpc-google-iam-v1 0.12.6
grpcio 1.56.2
grpcio-status 1.48.2
gspread 3.4.2
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h11 0.14.0
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h5py 3.8.0
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imgaug 0.4.0
importlib-metadata 4.6.4
importlib-resources 6.0.0
imutils 0.5.4
inflect 6.0.5
iniconfig 2.0.0
intel-openmp 2023.2.0
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ipython 7.34.0
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ipython-sql 0.4.1
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itsdangerous 2.1.2
jax 0.4.13
jaxlib 0.4.13+cuda11.cudnn86
jedi 0.19.0
jeepney 0.7.1
jieba 0.42.1
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joblib 1.3.1
jsonpickle 3.0.1
jsonschema 4.3.3
jupyter-client 6.1.12
jupyter-console 6.1.0
jupyter_core 5.3.1
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kaggle 1.5.16
keras 2.13.1
keyring 23.5.0
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launchpadlib 1.10.16
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linkify-it-py 2.0.2
lit 16.0.6
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locket 1.0.0
logical-unification 0.4.6
LunarCalendar 0.0.9
lxml 4.9.3
Markdown 3.4.4
markdown-it-py 3.0.0
MarkupSafe 2.1.3
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mdurl 0.1.2
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mkl 2019.0
ml-dtypes 0.2.0
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multitasking 0.0.11
murmurhash 1.0.9
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nbconvert 6.5.4
nbformat 5.9.1
nest-asyncio 1.5.6
networkx 2.8.8
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nltk 3.8.1
notebook 6.4.8
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numexpr 2.8.4
numpy 1.22.4
oauth2client 4.1.3
oauthlib 3.2.2
opencv-contrib-python 4.7.0.72
opencv-python 4.7.0.72
opencv-python-headless 4.8.0.74
openpyxl 3.0.10
opt-einsum 3.3.0
optax 0.1.7
orbax-checkpoint 0.3.1
osqp 0.6.2.post8
packaging 23.1
palettable 3.3.3
pandas 1.5.3
pandas-datareader 0.10.0
pandas-gbq 0.17.9
pandocfilters 1.5.0
panel 1.2.1
param 1.13.0
parso 0.8.3
partd 1.4.0
pathlib 1.0.1
pathy 0.10.2
patsy 0.5.3
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.4.0
pip 23.2.1
pip-tools 6.13.0
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plotly 5.13.1
plotnine 0.10.1
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portpicker 1.5.2
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preshed 3.0.8
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proglog 0.1.10
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promise 2.3
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prophet 1.1.4
proto-plus 1.22.3
protobuf 4.23.4
psutil 5.9.5
psycopg2 2.9.6
ptyprocess 0.7.0
py 1.11.0
py-cpuinfo 9.0.0
py4j 0.10.9.7
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pyasn1 0.5.0
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pydotplus 2.0.2
PyDrive 1.3.1
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pyproject_hooks 1.0.0
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PySocks 1.7.1
pytensor 2.10.1
pytest 7.2.2
python-apt 0.0.0
python-dateutil 2.8.2
python-louvain 0.16
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python-utils 3.7.0
pytz 2022.7.1
pyviz-comms 2.3.2
PyWavelets 1.4.1
PyYAML 6.0.1
pyzmq 23.2.1
qcs-api-client 0.21.6
qdldl 0.1.7.post0
qudida 0.0.4
regex 2022.10.31
requests 2.27.1
requests-oauthlib 1.3.1
requirements-parser 0.5.0
retry 0.9.2
retrying 1.3.4
rfc3339 6.2
rfc3986 1.5.0
rich 13.4.2
rpcq 3.11.0
rpy2 3.4.2
rsa 4.9
ruamel.yaml 0.17.32
ruamel.yaml.clib 0.2.7
scikit-image 0.19.3
scikit-learn 1.2.2
scipy 1.10.1
scs 3.2.3
seaborn 0.12.2
SecretStorage 3.3.1
Send2Trash 1.8.2
setuptools 67.7.2
shapely 2.0.1
six 1.16.0
sklearn-pandas 2.2.0
smart-open 6.3.0
sniffio 1.3.0
snowballstemmer 2.2.0
sortedcontainers 2.4.0
soundfile 0.12.1
soupsieve 2.4.1
soxr 0.3.5
spacy 3.5.4
spacy-legacy 3.0.12
spacy-loggers 1.0.4
Sphinx 5.0.2
sphinxcontrib-applehelp 1.0.4
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.1
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
SQLAlchemy 2.0.19
sqlparse 0.4.4
srsly 2.4.7
statsmodels 0.13.5
sympy 1.11.1
tables 3.8.0
tabulate 0.9.0
tblib 2.0.0
tenacity 8.2.2
tensorboard 2.13.0
tensorboard-data-server 0.7.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.13.0
tensorflow-datasets 4.9.2
tensorflow-estimator 2.13.0
tensorflow-gcs-config 2.12.0
tensorflow-hub 0.14.0
tensorflow-io-gcs-filesystem 0.32.0
tensorflow-metadata 1.13.1
tensorflow-probability 0.20.1
tensorstore 0.1.40
termcolor 2.3.0
terminado 0.17.1
text-unidecode 1.3
textblob 0.17.1
tf-slim 1.1.0
thinc 8.1.10
threadpoolctl 3.2.0
tifffile 2023.7.18
tinycss2 1.2.1
toml 0.10.2
tomli 2.0.1
toolz 0.12.0
torch 2.0.1+cu118
torchaudio 2.0.2+cu118
torchdata 0.6.1
torchsummary 1.5.1
torchtext 0.15.2
torchvision 0.15.2+cu118
tornado 6.3.1
tqdm 4.65.0
traitlets 5.7.1
triton 2.0.0
tweepy 4.13.0
typer 0.9.0
types-setuptools 68.0.0.3
typing_extensions 4.5.0
tzlocal 5.0.1
uc-micro-py 1.0.2
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urllib3 1.26.16
vega-datasets 0.9.0
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wcwidth 0.2.6
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websocket-client 1.6.1
Werkzeug 2.3.6
wheel 0.41.0
widgetsnbextension 3.6.4
wordcloud 1.8.2.2
wrapt 1.14.1
xarray 2022.12.0
xarray-einstats 0.6.0
xgboost 1.7.6
xlrd 2.0.1
xyzservices 2023.7.0
yarl 1.9.2
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zict 3.0.0
zipp 3.16.2

Facing the same issue. Please let me know when you have the solution/workaround.

Hi @Naman_Yash, This is due to colab’s default python version is not being supported. Please track this thread for the latest updates.

As an alternative to colab you can try with qBraid as mentioned here. Thank You.

Thank You @Kiran_Sai_Ramineni :slight_smile:

Ok, lee me answer this, and please check if this helps you or not,

The error you’re encountering while trying to install tensorflow-quantum likely stems from a compatibility issue between your current TensorFlow version (2.13.0) and the available versions of tensorflow-quantum.

To resolve this, first, check for an updated version of tensorflow-quantum that is compatible with TensorFlow 2.13.0. If no compatible version exists, consider downgrading your TensorFlow to a version that is supported by the available tensorflow-quantum release.

Alternatively, explore other quantum machine learning libraries that align with your TensorFlow version or wait for updates to become available for compatibility. Always ensure compatibility when combining different software packages to avoid installation issues.

Hi everyone. FYI there is another related discussion on the subject. It seems to be all about Python and libraries compatbility/versions. But no definitive answer either in that other discussion.

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