Advancing the Mathematical Foundations of Artificial Intelligence
Novel computational architectures.
Quantum-inspired classical systems.
Fundamental algorithmic research.
Fundamental Research in Computational Intelligence
PX Quantum conducts advanced research in alternative mathematical frameworks for artificial intelligence and large-scale computation. Our work challenges established paradigms, exploring fundamentally different architectures that address core limitations in current computational approaches.
We investigate whether quantum computational advantages can be achieved on classical hardware, develop post-transformer AI architectures, and conduct foundational research in algorithmic complexity and efficiency theory.
AI Architecture
Post-transformer computational models. Alternative attention mechanisms and information flow. Memory and resource optimization at scale.
LEARN MORE →Quantum-Inspired Systems
Classical implementations of quantum principles. Non-destructive observation techniques. Parallel computation optimization.
LEARN MORE →Computational Mathematics
Algorithmic complexity theory. Novel approaches to classical problems. Information theory and conservation principles.
LEARN MORE →Research Partnerships & Funding Opportunities
We are interested in government research programs (DARPA, NSA, SBIR), strategic investment partnerships, and academic collaborations.
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