From 87dd25475d9cbed1250b068b0e9866a4976ac6a1 Mon Sep 17 00:00:00 2001 From: "Juan M. Bello-Rivas" Date: Mon, 1 Jul 2019 20:30:09 -0700 Subject: [PATCH] Fix typos. paramaterized -> parameterized. parametrized -> parameterized (this spelling was chosen for consistency with the rest of the code). --- docs/vqe.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/vqe.rst b/docs/vqe.rst index 6c152c4..ec37666 100644 --- a/docs/vqe.rst +++ b/docs/vqe.rst @@ -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 @@ -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