Solving quantum scaling requires more than clever algorithms—it demands years of infrastructure development, deep physics expertise, and rigorous validation. Here's why we're positioned to deliver.
Since 2016, we've built our proprietary GPU computing infrastructure (AptML) specifically designed for efficient data management and complex numerical analysis. This was essential groundwork.
Our work culminated in a fundamental advance in computational physics: a patent-pending approach that achieves linear scaling for quantum and multi-scale simulations.
Unlike ML-based approaches, we enforce rigorous energy and entropy accounting. Multi-scale simulation is a data-management problem where energy must be tracked as it flows across space and between scales—our framework ensures nothing is lost or artificially created.
Our framework captures quantum tunneling, interference, and entanglement. We're conducting systematic validation against established benchmarks and experimental data, with early results matching quantum mechanical expectations.
Founder & CEO
Dr. Campos brings deep expertise across the key areas needed for building Bayris' innovative simulator: Ph.D. in Electrical Engineering (UC Davis) focused on CAD software development for circuit simulation and validation, along with quantum device physics; and 8 years architecting the proprietary AptML GPU computing framework that enabled our advances in computational physics. His 9 years as a patent agent protecting hardware and software technical IP positions Bayris to strategically build defensible technology and navigate the competitive landscape.
Join our Research Collaborative program and gain early access to technology that will redefine what's possible in quantum and multi-scale simulations.
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