To get familiar with the computing possibilities on the Dynex Platform, we have prepared a number of Python Jupyter Notebooks. Here are some of our beginner guides demonstrating the use of the Dynex SDK to formulate and build the quadratic models, sampling them on the Dynex Platform and retrieve the results.

Building and Sampling a Simple Binary Quadratic Model

• Example: Computing on the Dynex Platform with Python - BQM

Building and Sampling a K4 Complete Graph

• Example: Computing on the Dynex Platform with Python - BQM K4 Complete Graph

Building and Sampling a Simple QUBO Model

• Example: Computing on the Dynex Platform with Python - QUBO

Building and Sampling Logic Gates

• Example: Computing on the Dynex Platform with Python - Logic Gates

Building and Sampling the Anti-Crossing Problem

• Example: Computing on the Dynex Platform with Python - Anti-crossing problem

Building and Sampling the Maximum Independent Set Problem

• Example: Computing on the Dynex Platform with Python - Maximum Independent Set

Building and Sampling a SAT Problem

• Example: Computing on the Dynex Platform with Python - SAT

Building and Sampling a NAE-3-SAT Problem

• Example: Computing on the Dynex Platform with Python - NAE3SAT

Advanced Examples

As quantum computing technology matures and becomes more accessible, its integration into various industries is set to revolutionize multiple fields. In the pharmaceutical industry, Dynex enables breakthroughs in drug discovery and personalized treatments through advanced examples like Quantum Protein Folding and Quantum RNA Folding, improving our ability to combat disease. The automotive and aerospace sectors benefit from enhanced Computational Fluid Dynamics (CFD) simulations and optimized satellite positioning, pushing the boundaries of design and efficiency. Financial services can harness Dynex for quantum portfolio optimization, leading to superior risk management and fraud detection. In telecommunications, Dynex enhances network performance with applications like optimal WiFi hotspot positioning. Furthermore, algorithms such as MaxCut, Quantum Single Image Super-Resolution, and Quantum Integer Factorization showcase Dynex's prowess in solving complex computational problems. Machine learning also sees significant advancements with quantum-enhanced models like QSVM, QPCA, QNNs, and Quantum K-Means Clustering, all implemented efficiently on the Dynex platform. These developments highlight Dynex's role in driving innovation and transforming industries with quantum computing solutions.

• Advanced Examples