Dynex Advances Semiconductor Roadmap Through Georgia Tech Research Collaboration
Research collaboration supports advanced 16 nm analog semiconductor development for neural network computation and strengthens the chip-level foundation behind Dynex Apollo.
Baar, Switzerland / Atlanta, Georgia - July 7th, 2026 - Dynex Quantum Technologies AG ("Dynex"), a Swiss deep-tech company developing quantum and quantum-driven computing infrastructure, today announced a research collaboration with Georgia Institute of Technology into advanced 16 nm analog semiconductor architectures optimized for neural network computation.
The research program is closely aligned with Dynex Apollo, the company's quantum-driven neuromorphic computing architecture. Apollo is designed to combine analog semiconductor systems, probabilistic dynamics, and room-temperature operation to support efficient computation for optimization, artificial intelligence, inference, and other complex industrial workloads.
For Dynex, the collaboration strengthens an important semiconductor research layer within a broader deep-tech roadmap spanning quantum-driven neuromorphic computing, diamond-spin quantum architectures, large-scale probabilistic computation, NV-diamond quantum sensing, and photonic interference for optical AI computation. Together, these technology areas position Dynex across several of the most strategically relevant fields in next-generation computing: quantum infrastructure, AI acceleration, advanced semiconductors, physical AI, sensing, and deployable industrial computing.
Dynex operates at the intersection of advanced physics, materials science, computational engineering, and enterprise software deployment. Its objective is to translate rigorous scientific research into practical, scalable computing systems that can be applied to real-world industrial problems through its quantum-driven platform and application-specific solution development model.
Building the Semiconductor Foundation Behind Dynex Apollo
The research collaboration supports Dynex's long-term objective to develop scalable, efficient, room-temperature computing architectures that move beyond the limitations of conventional digital processing. Advanced analog semiconductor architectures are strategically important because they enable computational states and interactions to be represented directly in silicon, allowing complex systems to evolve in parallel through physical dynamics.
Dynex Apollo is designed around this principle. Rather than relying exclusively on sequential digital instruction cycles, Apollo uses analog computation to explore complex energy landscapes relevant to optimization, inference, sampling, and selected machine-learning workloads. This approach is intended to support high-throughput computation while maintaining the practical advantages of semiconductor-based implementation.
Georgia Tech has long-standing expertise in analog computing, low-power computation, reconfigurable analog hardware, and continuous-time signal processing. Through the collaboration with GT, Dynex is supporting foundational research that is directly relevant to the semiconductor layer behind Apollo and to the broader development of analog AI computing systems.
Expanding Dynex's Deep-Tech Platform
The collaboration forms part of Dynex's broader strategy to build a differentiated deep-tech platform across proprietary computing architectures, quantum and quantum-driven hardware research, cloud-based deployment infrastructure, and application-specific industrial solutions.
This platform approach is central to Dynex's institutional positioning. Dynex is not developing a single software layer or a narrow cloud service. The company is building a technology stack that combines quantum-driven neuromorphic computing, diamond-spin quantum architectures, quantum sensing, photonic interference, algorithmic qubits, and qubit-agnostic cloud infrastructure.
As artificial intelligence, optimization, simulation, sensing, and real-time decision systems continue to grow in complexity, the need for new computing substrates is becoming increasingly urgent. Dynex believes that future value in quantum and next-generation computing will be created by companies that combine scientific credibility, proprietary hardware architectures, defensible intellectual property, scalable infrastructure, and practical enterprise deployment.
Advancing Practical Quantum-Driven Computing
Dynex's development strategy is focused on translating next-generation computing architectures into practical systems that can be accessed and deployed by enterprises. Through its Quantum-as-a-Service infrastructure and application-specific solution development model, Dynex enables industrial clients to address complex computational challenges in areas such as optimization, artificial intelligence, financial services, healthcare, logistics, simulation, and research.
The Georgia Tech research collaboration reinforces the scientific foundation behind this strategy. By supporting advanced analog semiconductor research for neural network computation, Dynex is expanding the hardware research base behind Apollo.
Dynex's roadmap is designed to bridge scientific research and commercial deployment. Apollo targets quantum-driven neuromorphic computation; Zeus advances diamond-spin quantum architectures; Dynex Quantum Sensing focuses on compact NV-diamond sensing systems; Photonic Interference explores optical AI computation using light-based interference; and Dynex's cloud infrastructure enables scalable access to quantum and quantum-driven computing capabilities.
Together, these initiatives reflect Dynex's ambition to build a full-stack platform for next-generation computation - from hardware research and intellectual property to enterprise-grade deployment and industrial solution development.
About Dynex
Dynex combines a first-mover commercial advantage in delivering quantum-driven solutions at industrial scale with the technological strength to compete head-to-head with the world's leading advanced computing and quantum companies, positioning itself as a frontrunner in a global race where the ultimate technology leader has yet to be determined.
Dynex is a deep-tech quantum technology company developing advanced computing architectures across quantum, quantum-driven neuromorphic, photonic, and sensing systems.
Dynex provides access to algorithmic qubits through efficient patent-pending CPU/GPU quantum circuit emulation and p-qubits through a 16nm mixed-signal CMOS architecture utilizing quantum-mechanical effects. The company's broader roadmap includes Apollo quantum-driven neuromorphic computing, Zeus diamond-spin quantum computing, NV-diamond quantum sensing, optical interference for AI computation, and qubit-agnostic cloud infrastructure.
Dynex works at the intersection of quantum physics, materials science, artificial intelligence, photonics, advanced hardware systems, and enterprise software, with the objective of translating next-generation research into real-world technology platforms.
For more information, visit www.dynex.co.
About Georgia Tech
The Georgia Institute of Technology is a leading public research university based in Atlanta, Georgia, with internationally recognized research activity across engineering, computing, sciences, design, business, and related fields.
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Forward-Looking Statement
This press release contains forward-looking statements, including statements regarding quantum processors, patent applications, hardware architectures, development programs, technology roadmaps, product areas, customer use cases, future capabilities, and strategic positioning. These statements are based on current expectations and development objectives and are subject to technical validation, intellectual property examination, regulatory processes, market conditions, commercialization risks, and other uncertainties. Technologies described as in development are not necessarily commercially available products unless expressly stated. Dynex undertakes no obligation to update forward-looking statements except as required by applicable law.
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