While running the example code as provided in the docs for two qubit chip with C3, an error message appears. Error message is: AttributeError: module 'tensorflow.python.framework.ops' has no attribute 'Tensor'
To Reproduce
Create a fresh env with pip install c3-toolset (which will be a standard step for anyone starting with the package. It also requires pip install tf-keras ). Then run the example code (link: https://c3-toolset.readthedocs.io/en/master/two_qubits.html), the code where we define the Quantities does not work and gives the attribute error as mentioned above.
Expected behavior
A clear and concise description of what you expect(ed) to happen.
Screenshots
these two screenshots are there just visually showing the issue that I have briefly described above
Environment (please complete the following information)
OS: Windows
Python Version: Python 3.12.3
c3-toolset Version 1.4
Other 'might be important' packages version details:
A simple hack to get over this problem would have been to have an older version of TensorFlow installed but unfortunately, I am unable to install the older versions of TensorFlow.
On the other hand, the requirement for C3-toolset has TensorFlow version greater than 2.15.0 but greater than 2.15 versions do not seem to work.
Describe the bug
While running the example code as provided in the docs for two qubit chip with C3, an error message appears. Error message is: AttributeError: module 'tensorflow.python.framework.ops' has no attribute 'Tensor'
To Reproduce
Create a fresh env with pip install c3-toolset (which will be a standard step for anyone starting with the package. It also requires pip install tf-keras ). Then run the example code (link: https://c3-toolset.readthedocs.io/en/master/two_qubits.html), the code where we define the Quantities does not work and gives the attribute error as mentioned above.
Expected behavior
A clear and concise description of what you expect(ed) to happen.
Screenshots
Environment (please complete the following information)
c3-toolsetVersion 1.4Additional context
A simple hack to get over this problem would have been to have an older version of TensorFlow installed but unfortunately, I am unable to install the older versions of TensorFlow.
On the other hand, the requirement for C3-toolset has TensorFlow version greater than 2.15.0 but greater than 2.15 versions do not seem to work.