Update release.md

Author: Sinestro38

tensorflow_quantum/release.md

@@ -1,4 +1,10 @@
 # Release 0.7.0
+# Breaking Changes
+- Build, compilation, and packaging:
+  - The TensorFlow dependency has been upgraded from 2.7.0 to 2.11.0:
+  - TensorFlow Quantum is now compiled with `_GLIBCXX_USE_CXX11_ABI=1`. Downstream projects that encounter `std::__cxx11` or `[abi:cxx11]` linker errors will need to adopt this compiler option. See [the GNU C++ Library docs on Dual ABI](https://gcc.gnu.org/onlinedocs/libstdc++/manual/using_dual_abi.html).
+  - TensorFlow Quantum is now compiled with `-std=c++17`, see [install.md](/docs/install.md) for build instructions.
+
 # Major Features and Improvements
 - Significant performance improvements by introducing cuQuantum support for circuit execution on GPU:
   - TensorFlow Quantum Keras layers can now be executed on GPU by setting `use_cuquantum=True` at layer instantiation. Examples:
@@ -8,11 +14,5 @@
     - `tfq.layers.Sample(use_cuquantum=True)`
     - `tfq.layers.SimulateSample(use_cuquantum=True)`
 
-- Build, compilation, and packaging:
-  - The TensorFlow dependency has been upgraded from 2.7.0 to 2.11.0:
-  - TensorFlow Quantum is now compiled with `_GLIBCXX_USE_CXX11_ABI=1`. Downstream projects that encounter `std::__cxx11` or `[abi:cxx11]` linker errors will need to adopt this compiler option. See [the GNU C++ Library docs on Dual ABI](https://gcc.gnu.org/onlinedocs/libstdc++/manual/using_dual_abi.html).
-  - TensorFlow Quantum is now compiled with `-std=c++17`, see [install.md](/docs/install.md) for build instructions.
-
-
 # Thanks to our Contributors
 This release contains contributions from many people at Google, Nvidia, as well as: