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Fix typos. #211

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Fix typos. #211

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4 changes: 2 additions & 2 deletions docs/vqe.rst
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Expand Up @@ -31,7 +31,7 @@ this eigenvalue:

Practically, the quantum subroutine of VQE amounts to preparing a state based off
of a set of parameters :math:`\vec{\theta}` and performing a series of measurements
in the appropriate basis. The paramaterized state (or ansatz) preparation can be tricky
in the appropriate basis. The parameterized state (or ansatz) preparation can be tricky
in these algorithms and can dramatically affect performance. Our ``VQE`` module allows any
Python function that returns a pyQuil program to be used as an ansatz generator. This
function is passed into ``vqe_run`` as the ``variational_state_evolve`` argument. More details
Expand All @@ -52,7 +52,7 @@ Basic Usage

Here we will take you through an example of a very small variational
quantum eigensolver problem. In this example we will use a quantum
circuit that consists of a single parametrized gate to calculate an
circuit that consists of a single parameterized gate to calculate an
eigenvalue of the Pauli Z matrix.

First we import the necessary pyQuil modules to construct our ansatz
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