Merge branch 'master' into fix_transpiler_notebook

Author: nonhermitian

INSTALL.md

@@ -42,7 +42,7 @@ installation procedure:
    accompanying `environment.yml` file)
 
 ```
-cd qiskit-iqx-tutorials
+cd qiskit-tutorials
 conda env create -f environment.yml
 ```
 

README.md

@@ -6,7 +6,7 @@
 
 Welcome to the [Qiskit](https://www.qiskit.org/) Tutorials!
 
-In this repository, we've put together a collection of Jupyter notebooks aimed at teaching people who want to use Qiskit for writing quantum computing programs, and executing them on one of several backends (online quantum processors, online simulators, and local simulators). The online quantum processors are the [IBM Quantum](https://quantum-computing.ibm.com) devices.
+In this repository, we've put together a collection of Jupyter notebooks aimed at teaching people who want to use Qiskit for writing quantum computing programs, and executing them on one of several backends (online quantum processors, online simulators, and local simulators). The online quantum processors are the [IBM Quantum](https://quantum-computing.ibm.com) systems.
 
 For our community-contributed tutorials, please check out the [qiskit-community-tutorials](https://github.com/Qiskit/qiskit-community-tutorials) repository.
 

tutorials/optimization/1_quadratic_program.ipynb

@@ -218,7 +218,7 @@
    "metadata": {},
    "source": [
     "The `QuadraticProgram` supports three types of variables:\n",
-    "- Binary varible\n",
+    "- Binary variable\n",
     "- Integer variable\n",
     "- Continuous variable\n",
     "\n",
@@ -607,10 +607,10 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can substitue some of variables with constants or other variables.\n",
+    "You can substitute some of variables with constants or other variables.\n",
     "More precicely, `QuadraticProgram` has a method `substitute_variables(constants=..., variables=...)` to deal with the following two cases.\n",
     "- $x \\leftarrow c$: when `constants` have a dictionary `{x: c}`. \n",
-    "- $x \\leftarrow c y$: when `variables` have a dictuinary `{x: (y, c)}`."
+    "- $x \\leftarrow c y$: when `variables` have a dictionary `{x: (y, c)}`."
    ]
   },
   {
@@ -691,7 +691,7 @@
    "metadata": {},
    "source": [
     "You cannot substitute variables multiple times. \n",
-    "The metdod raises an error in such a case."
+    "The method raises an error in such a case."
    ]
   },
   {
@@ -776,7 +776,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.7"
   }
  },
  "nbformat": 4,

tutorials/optimization/3_minimum_eigen_optimizer.ipynb

@@ -298,7 +298,7 @@
    "metadata": {},
    "source": [
     "The `RecursiveMinimumEigenOptimizer` takes a `MinimumEigenOptimizer` as input and applies the recursive optimization scheme to reduce the size of the problem one variable at a time.\n",
-    "Once the size of the generated intermediate problem is below a given threshold (`min...`), the `RecurisveMinimumEigenOptimizer` uses another solver (`...`), e.g., an exact classical solver such as CPLEX or the `MinimumEigenOptimizer` based on the `NumPyMinimumEigensolver`.\n",
+    "Once the size of the generated intermediate problem is below a given threshold (`min...`), the `RecursiveMinimumEigenOptimizer` uses another solver (`...`), e.g., an exact classical solver such as CPLEX or the `MinimumEigenOptimizer` based on the `NumPyMinimumEigensolver`.\n",
     "\n",
     "In the following, we show how to use the `RecursiveMinimumEigenOptimizer` using the two `MinimumEigenOptimizer` introduced before."
    ]
@@ -398,7 +398,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.7"
   },
   "toc": {
    "base_numbering": 1,