The Dynex roadmap for quantum computing showcases a comprehensive and phased approach to quantum innovation, spanning across software, hardware, compute, and business models. Dynex’s evolution from emulation on GPUs to quantum processing units (QPUs) is marked by significant technological milestones. Initially focused on efficiently emulating quantum circuits using GPUs, Dynex is now advancing toward building proprietary, patent-pending silicon quantum chips. These QPUs will be designed for specialized tasks, with increasing gate capacity, and will eventually lead to general-purpose chips with 1 million gates. This shift from simulation to physical quantum computing reflects Dynex's long-term strategy to achieve large-scale quantum computational power with specialized hardware innovations.
Starting from 2020-2021, it outlines the transition from research and prototyping, with a focus on overcoming the computational challenges of Schrödinger’s equations, to efficient emulation on GPUs in 2022. By 2023, the roadmap introduces quantum algorithms such as Quantum CFD and Quantum RBM, and the development of the Dynex SDK. Looking forward, 2024 sees the integration of Quantum Nodes using GPU-based circuits, followed by physical silicon quantum chips (QPUs) with up to 1,000 qubits being introduced in 2025.
The roadmap then moves toward specialized and general-purpose silicon quantum chips with increasing gate capacities and qubit counts through 2034, reaching a projected 1 million qubits. Alongside hardware advancements, software development continues with innovations in quantum operating systems and advanced algorithms. The roadmap also highlights Dynex's evolving business model, including subscription and royalty-based economic models, partnerships for scaling quantum applications, and a long-term vision for full-scale quantum chips by 2034. The future of computing is quantum-centric, with Dynex leading the charge through continuous innovation in both hardware and software realms.
