RESEARCH
Advancing the Boundaries of Science
Our research programs span artificial intelligence, quantum computing, machine learning, and software systems. We combine theoretical investigation with practical experimentation to produce measurable advances in computational science.
RESEARCH AREAS
Our Focus
Deep Learning Architectures
Developing novel neural network architectures for improved reasoning, generalization, and efficiency in AI systems.
Quantum Algorithms
Designing quantum algorithms that achieve practical speedups for optimization, simulation, and machine learning tasks.
Distributed ML Systems
Building scalable infrastructure for training and deploying machine learning models across distributed computing environments.
Hardware-Software Co-design
Optimizing algorithms and software to leverage specialized hardware accelerators for maximum computational efficiency.
Knowledge Representation
Creating methods for structuring, storing, and retrieving knowledge to enhance AI reasoning and decision-making.
AI Safety & Alignment
Investigating techniques to ensure AI systems behave reliably, safely, and in accordance with human values.
PUBLICATIONS
Recent Work
Our research findings are shared with the scientific community through publications, preprints, and technical reports.
Efficient Quantum Circuit Compilation for Near-Term Devices
Axionxlab Research Team · arXiv preprint · 2025
We present a novel approach to quantum circuit compilation that reduces gate counts while maintaining fidelity on noisy intermediate-scale quantum (NISQ) devices.
Scaling Laws for Sparse Mixture-of-Experts Models
Axionxlab Research Team · Under Review - NeurIPS 2026 · 2026
An empirical study of scaling behavior in sparse mixture-of-experts architectures, with practical guidelines for efficient training.
Memory-Efficient Attention Mechanisms for Long Sequences
Axionxlab Research Team · Technical Report · 2025
Novel attention variants that achieve linear memory complexity while preserving the expressiveness of standard transformer attention.