The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…

A full-stack framework for quantum computing.

A python-to-quantum compiler

Classifying, auto-encoding and reverse-engineering QUBO matrices

Quantum Annealing for distribution unfolding in experimental High-Energy Physics

A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer

Codes used for the classical and simulated quantum annealing numerical experiments of https://arxiv.org/abs/2101.10154

Sawatabi is an application framework to develop and run stream-data-oriented Ising applications with quantum annealing.

Accelerating Qibo simulation with just-in-time compilation.

Parallel Quantum Annealing

Quantum ML for extremely imbalanced data

Python implementation of Bayesian Network Structure Learning using Quantum Annealing https://doi.org/10.1140/epjst/e2015-02349-9

Solves systems of ordinary first-order nonlinear differential equations by reformulating them in terms of Quadratic Unconstrained Binary Optimization (QUBO) problems, which allows to obtain solution on quantum annealers. Contains example application to molecular dynamics.

Quantum-inspired Cluster Expansion: formulating chemical space search as QUBOs and Ising models

Sub-project in the scope of QProgMods grant

Python Quantum Boolean Tensor Networks

Using the D-Wave 2000Q to error correct ASCII messages sent over a noisy channel, and understand the physics of quantum annealing. Repo to be used with the Leap IDE.

⚛ Quantum Computing, for Humans.

Quantum Annealing simulation via Tensor Networks. QIC, University of Padua.

Graph decomposition algorithms for MaxClique and Minimum Vertex Cover problems