chore: Update contact link (#2160)

This PR updates the contact link for one of Q-CTRL's docs notebooks.

docs/guides/q-ctrl-optimization-solver.ipynb

@@ -17,7 +17,7 @@
     "\n",
     "The Solver is flexible and can be used to solve combinatorial optimization problems defined as objective functions or arbitrary graphs. Problems do not have to be mapped to device topology. Both unconstrained and constrained problems are solvable, given that constraints can be formulated as penalty terms. The examples included in this guide demonstrate how to solve an unconstrained and a constrained utility-scale optimization problem using different Solver input types. The first example involves a Max-Cut problem defined on a 156-node, 3-Regular graph, while the second example tackles a 50-node Minimum Vertex Cover problem defined by a cost function.\n",
     "\n",
-    "To get access to the Optimization Solver, [fill out this form](https://quantum.ibm.com/functions?id=a8a2b0b6-486a-41b5-8ea4-ada3b108d6b6)."
+    "To get access to the Optimization Solver, [contact Q-CTRL](https://form.typeform.com/to/uOAVDnGg?typeform-source=q-ctrl.com)."
    ]
   },
   {

docs/guides/q-ctrl-performance-management.ipynb

@@ -21,7 +21,7 @@
     "\n",
     "The Performance Management function can be used with any algorithm, and you can easily use it in place of the standard [Qiskit Runtime primitives](./primitives). Behind the scenes, multiple error suppression techniques work together to prevent errors from happening at runtime. All Fire Opal pipeline methods are pre-configured and algorithm-agnostic, meaning you always get the best performance out of the box.\n",
     "\n",
-    "To get access to Performance Management, [contact Q-CTRL](https://form.typeform.com/to/JKHcaxlv?typeform-source=q-ctrl.com#product=Fire%20Opal)."
+    "To get access to Performance Management, [contact Q-CTRL](https://form.typeform.com/to/uOAVDnGg?typeform-source=q-ctrl.com)."
    ]
   },
   {