Open collaborative book on quadratization in discrete optimization and quantum mechanics.
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Updated
Sep 9, 2022 - TeX
Open collaborative book on quadratization in discrete optimization and quantum mechanics.
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).
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
Introduction to quantum annealing in D-Wave systems.
Quantum annealing knowledge base: T-Wave
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
D-Wave Instance Generator (D-WIG)
D-Wave Ising Sample Collector (D-WISC)
Quantum Route Optimizer, made as a supplement to my bachelor thesis - uses D-Wave annealers to solve a TSP problem
Python Quantum Boolean Tensor Networks
Binary matrix factorization on D-Wave's quantum annealer.
Quantum Markowitz on D-Wave
⚛ Quantum Computing, for Humans.
Repository where you will find theory and problem solving with quantum annealing
This repository contains the Python code associated with the scientific publication "Exploring Quantum Annealing Architectures: A Spin Glass Perspective".
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