QM - research

This repository contains all of my study notes / practice/research done on Quantum Computing mainly through the QISKIT library. ( IBM's qm library ). Planning to use Microsoft's Q# too sometime.

Important

I'm in the middle of uploading all of my codes and materials. Just give this repo a star to stay up-to-date

TODO: Add explanation of code in python-impl

This repo by no means is the creation of qiskit or q#. It is to safely keep and track my learning journey in QM. It comes with open LICENSE and can be reused for teaching / ( community stuff ) as per LICENSE

Repo organizations:

• python-impl: Contains all of the python implementations. The code is divided into subfolders, and with them, there is a readme file, explaining the code.
• qasm-impl: Contains all of the qasm implementation. Same subfolder structure.
• notes: This contains approx all of the notes made while learning QM.
• *: These will be git submodules containing my research/projects around QM

my work:

research

Right now I'm researching the ability of Quantum Computer to break RSA, SHA-256, and SHA-128 encryption algorithms and possible solutions to this. As of now, I'm able to break RSA algorithms mathematically, though a few code optimizations are ongoing to improve their ability to break the algorithms.

Qiskit-QM Codes

(python) :

• circuit draw: draw basic quantum circuit.
• commutation_relation: generate circuit for communication analysis, and so on...
• ghz state: implementation of ghz state
• init: example use of initialize gate to prepare arbitrary pure states
• load_qasm: load qasm file on the circuit
• qft: implementation of Quantum Fourier Transform
• reppleadd: repple adder based on Cuccaro et al., quant-ph/0410184
• st_swap: Example usage of StochasticSwap pass
• teleport: Quantum teleportation example
• qiskit_terra_level_0: Use Qiskit at the introduction level

(qasm):

• simple_qasm_code
• entangled_registers.qasm: 8-bit qubit entangling two 4-bit registers
• plaquette_check.qasm: plaquette check

Contributing:

You are welcome to contribute to my repo. Please make a PR to the main branch.

Note

All the contributions made will be used by my initiatives SynthAI-Labs and OpenEdu to give these resources to communities for free with the intent of teaching. Proper credit will be given to you along with your GitHub-userId, though your can opt-out of it if you wish too.

LICENSE

TBD

SynthAI-Labs OpenSource LICENSE