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Fix typo and numbered list in variational algo doc #7647

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Sep 11, 2025
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Fix typo and numbered list in variational algo doc #7647

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10 changes: 5 additions & 5 deletions docs/experiments/variational_algorithm.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -281,7 +281,7 @@
"\n",
"Given this definition of the problem instance, we can now introduce our ansatz. It will consist of one step of a circuit made up of:\n",
"\n",
"0. Apply an initial mixing step that puts all the qubits into the $|+\\rangle=\\frac{1}{\\sqrt{2}}(|0\\rangle+|1\\rangle)$ state.\n"
"0\\. Apply an initial mixing step that puts all the qubits into the $|+\\rangle=\\frac{1}{\\sqrt{2}}(|0\\rangle+|1\\rangle)$ state.\n"
]
},
{
Expand All @@ -304,7 +304,7 @@
"id": "49482d550033"
},
"source": [
"1. Apply a `cirq.ZPowGate` for the same parameter for all qubits where the transverse field term $h$ is $+1$."
"1\\. Apply a `cirq.ZPowGate` for the same parameter for all qubits where the transverse field term $h$ is $+1$."
]
},
{
Expand All @@ -330,7 +330,7 @@
"id": "iSizAkjE_5pq"
},
"source": [
"2. Apply a `cirq.CZPowGate` for the same parameter between all qubits where the coupling field term $J$ is $+1$. If the field is $-1$, apply `cirq.CZPowGate` conjugated by $X$ gates on all qubits."
"2\\. Apply a `cirq.CZPowGate` for the same parameter between all qubits where the coupling field term $J$ is $+1$. If the field is $-1$, apply `cirq.CZPowGate` conjugated by $X$ gates on all qubits."
]
},
{
Expand Down Expand Up @@ -375,7 +375,7 @@
"id": "DI7wQure_5ps"
},
"source": [
"3. Apply an `cirq.XPowGate` for the same parameter for all qubits. This is the method `rot_x_layer` we have written above.\n",
"3\\. Apply an `cirq.XPowGate` for the same parameter for all qubits. This is the method `rot_x_layer` we have written above.\n",
"\n",
"Putting all together, we can create a step that uses just three parameters. Below is the code, which uses the generator for each of the layers (note to advanced Python users: this code does not contain a bug in using `yield` due to the auto flattening of the `OP_TREE concept`. Typically, one would want to use `yield` from here, but this is not necessary):"
]
Expand Down Expand Up @@ -523,7 +523,7 @@
"\n",
"Now that we have constructed a variational ansatz and shown how to simulate it using Cirq, we can think about optimizing the value. \n",
"\n",
"On quantum hardware, one would most likely want to have the optimization code as close to the hardware as possible. As the classical hardware that is allowed to inter-operate with the quantum hardware becomes better specified, this language will be better defined. Without this specification, however, Cirq also provides a useful concept for optimizing the looping in many optimization algorithms. This is the fact that many of the value in the gate sets can, instead of being specified by a float, be specified by a `symply.Symbol`, and this `sympy.Symbol` can be substituted for a value specified at execution time.\n",
"On quantum hardware, one would most likely want to have the optimization code as close to the hardware as possible. As the classical hardware that is allowed to inter-operate with the quantum hardware becomes better specified, this language will be better defined. Without this specification, however, Cirq also provides a useful concept for optimizing the looping in many optimization algorithms. This is the fact that many of the value in the gate sets can, instead of being specified by a float, be specified by a `sympy.Symbol`, and this `sympy.Symbol` can be substituted for a value specified at execution time.\n",
"\n",
"Luckily for us, we have written our code so that using parameterized values is as simple as passing `sympy.Symbol` objects where we previously passed float values."
]
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