From 2c759dc388e917774bbdd86bb8fd396ca57b3734 Mon Sep 17 00:00:00 2001 From: christopherporter1 Date: Mon, 5 Jan 2026 10:38:55 -0500 Subject: [PATCH] Corrected ry to y in vqe course --- learning/courses/quantum-chem-with-vqe/ansatz.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/learning/courses/quantum-chem-with-vqe/ansatz.ipynb b/learning/courses/quantum-chem-with-vqe/ansatz.ipynb index 44f9a907ece..5ad8e9da6b2 100644 --- a/learning/courses/quantum-chem-with-vqe/ansatz.ipynb +++ b/learning/courses/quantum-chem-with-vqe/ansatz.ipynb @@ -45,7 +45,7 @@ "\n", "An `efficient_su_2` circuit consists of layers of single qubit operations spanned by SU(2) (special unity group of degree 2, like Pauli rotation gates) and CX entanglements. This is a heuristic pattern that can be useful in variational quantum algorithms like VQE and classification circuits in quantum machine learning (QML).\n", "\n", - "We'll start with a four-qubit example `efficient_su2` circuit with two types of SU(2) gates, say rx and ry. We also specify an entanglement scheme and the number of repetitions. If you simply `.draw()` the circuits, you will get a fairly abstract representation. A more comprehensible circuit diagram is obtained by using `.decompose().draw()`, and here we will use `output = \"mpl\"'." + "We'll start with a four-qubit example `efficient_su2` circuit with two types of SU(2) gates, say `rx` and `y`. We also specify an entanglement scheme and the number of repetitions. If you simply `.draw()` the circuits, you will get a fairly abstract representation. A more comprehensible circuit diagram is obtained by using `.decompose().draw()`, and here we will use `output = \"mpl\"'." ] }, {