The HEPQPR.Qallse project encodes the HEP (ATLAS) pattern recognition problem into a QUBO and solves it using a D-Wave or other classical QUBO libraries (qbsolv, neal). Master's project (2019).
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Updated
Nov 23, 2019 - Jupyter Notebook
The HEPQPR.Qallse project encodes the HEP (ATLAS) pattern recognition problem into a QUBO and solves it using a D-Wave or other classical QUBO libraries (qbsolv, neal). Master's project (2019).
Open collaborative book on quadratization in discrete optimization and quantum mechanics.
Implementation of protein folding on 2D lattice on D-Wave QPU, using turn ancilla encoding (Babbush 2013). Conventional Monte Carlo Simulated Annealing is also included as a sepate approach
D-Wave Instance Generator (D-WIG)
Python Quantum Boolean Tensor Networks
⚛ Quantum Computing, for Humans.
My attempt to implement problems described "A Tutorial on Formulating and Using QUBO Models" (https://arxiv.org/pdf/1811.11538.pdf) using D-Wave Ocean SDK in Python and solving on D-Wave Quantum Computer
Quantum annealing knowledge base: T-Wave
D-Wave Ising Sample Collector (D-WISC)
Introduction to quantum annealing in D-Wave systems.
This repository contains the Python code associated with the scientific publication "Exploring Quantum Annealing Architectures: A Spin Glass Perspective".
Quantum Markowitz on D-Wave
Repository where you will find theory and problem solving with quantum annealing
Quantum Route Optimizer, made as a supplement to my bachelor thesis - uses D-Wave annealers to solve a TSP problem
Binary matrix factorization on D-Wave's quantum annealer.
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