Updated: Friday, September 01,2023-09-01 09:44:19

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enter/Machine Tips (Quantum)/Resources/Code & Circuit Operations/Languages/Python Libraries/More Python Libraries.md

@@ -1,12 +1,18 @@
 There are a plethora of quantum python libraries being made and produced. So no need to reinvent the  wheel here, if you're looking for a certain quantum operation it probably exists. 
 
 ---
-
+**cuQuantum SDK**
+- This is NVidia's quantum library written in python 
+- The full  documentation can be[ found here](https://docs.nvidia.com/cuda/cuquantum/latest/index.html)
 
 - this is a really [great video tutorial](https://www.youtube.com/watch?v=E9yj0o1LGII) walking through QEC and generating circuit methods. 
 - MyQLM provides different tools and approaches to design your own quantum circuits.
 	- you can write pyQASM circuits explained [in the docs here](https://myqlm.github.io/programming.html)
 
+
+###### Quantum HEOM 
+- the full git repo is[ found here]()
+- the full git repo is[ found here]()
 ###### Toqito 
 - open source Python [library](https://vprusso.github.io/toqito/) for studying various objects in quantum information
 ```
@@ -49,4 +55,6 @@ Note: What is the CHSH game?
 ###### pyqu
 - PyQu is an extension module for Python to implement quantum algorithms
 - PyQu is an extension module for Python 3 whose main goal is to provide a complete set of data types and functions for simulating quantum computation with a neat syntax. PyQu is written in C and makes extensive use of libquantum-1.0.0 library by Björn Butscher and Hendrik Weimer. However, PyQu intends not to be just a wrapper of libquantum to Python, but rather a new high-level language (in Python style of course) for quantum programming.
-- More documentation can be found  [here](https://code.google.com/archive/p/pyqu/). 
+- More documentation can be found  [here](https://code.google.com/archive/p/pyqu/). 
+
+

enter/Machine Tips (Quantum)/Resources/Code & Circuit Operations/Languages/Python Libraries/Qisket/Qiskit.md

@@ -2,6 +2,8 @@
 
 Qiskit is the fundamental thingy(best way to describe it at this point) that a lot of quantum computers will refer to nowadays (at least for the moment) from IBM. We  first have to create a conda environment (or a  xonsh one!) in which we install qiskiet and all necessary distributions. Here are the docs to get [started](https://qiskit.org/documentation/getting_started.html). 
 
+The Assembly language for the quantum computer itself though is not written in python but rather in [OpenQASM](https://github.com/openqasm/openqasm), a specific language created for the machine specifically. Qiskit is what translates the language of the quantum computer over into python for us to use on our normal computers. 
+
 ---
 
 There seems to be qiskit distributions for: 

enter/Machine Tips (Quantum)/Resources/Code & Circuit Operations/Languages/Q Sharp/Quantum.NET C sharp.md

@@ -8,4 +8,6 @@ QuantumRegister GHZState = QuantumRegister.GHZState; // (|000> + |111>) / √2 (
 QuantumRegister GHZState4 = QuantumRegister.GHZStateOfLength(4); // (|0000> + |1111>) / √2 (GHZ state for 4 qubits)
 ```
 
-It seems to be an early precursor to Q#. 
+It seems to be an early precursor to Q#. 
+
+This is an excellent article on [how to translate a Gaussian Wave Function](https://guenp.medium.com/preparing-a-gaussian-wave-function-in-q-695c3941f6dc) in Q#.