To get started you can look into QC101 folder.
- Here you can start by looking into Hello World and Hello Multiverse Notebook.
- Then you can look into building your circuit. You can look into First_Quantum_Circuit Notebook.
- You can use IBMQ experience to work over actual Quantum Computer. Log in to IBMQ accounnt, and get the key. You can save the key locally so that later you can directly use them. Please look at IBMQ Check notebook.
- Now lets move to a bit complex circuit. Lets build half added, try to get the truth table right and then try to build the circuit on your own. Please look at First_Quantum_Circuit Notebook if you get stuck somewhere.
You can also look at my session which I delivered over basics of QML. The video is embedded in this blog which contains the content of the session.
I think by doing the above tasks, you should be knowing the basics of QC and can proceed to perform simple Machine Learning Task. Lets start with classification.
Lets try our hands on the QSVM, one of the oldest classifier of Classical Machine Learning.
- Please move to QSVM notebook. It is a simple classifier build over Z Featuremap, ZZ Feature Map, Pauli Feature Map and Custom Feature Map over binary and Multiclass dataset. I have delivered a session over QML, you can have a look of it at this blog.
- Now we attempt the classification problem with another algorithm called VQC. VQC gives us more flexibility with optimizers, so lets try it over a subset of MNIST Dataset. Please headover to VQC notebook.