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)
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
Python Quantum Boolean Tensor Networks
⚛ Quantum Computing, for Humans.
D-Wave Ising Sample Collector (D-WISC)
Quantum annealing knowledge base: T-Wave
Introduction to quantum annealing in D-Wave systems.
Binary matrix factorization on D-Wave's quantum annealer.
This repository contains the Python code associated with the scientific publication "Exploring Quantum Annealing Architectures: A Spin Glass Perspective".
Practical applications of Quantum AI: Modeling and solving combinatorial optimization problems using D-Wave and Qiskit.
Quantum Markowitz on D-Wave
quantium dashboard
Quantum Route Optimizer, made as a supplement to my bachelor thesis - uses D-Wave annealers to solve a TSP problem
DSC-3 vs D-Wave Advantage2: reproducible classical reference for 2024-2026 industrial QA benchmarks. Ground-state 3D ±J Ising at N=10^6 spins on a $1.57/hr GPU droplet, with SHA-256-pinned artefacts and a 'Benchmark Gap' audit.
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