Research Projects
Explore our open-source research projects, implementations, and tools that advance the state of AI and quantum computing.
A comprehensive framework for building and training quantum neural networks with classical-quantum hybrid architectures.
Implementation of adaptive sparse transformer blocks that dynamically adjust sparsity patterns for improved efficiency.
Comprehensive evaluation framework for measuring creativity and independence in large language models.
Implementation of progressive difficulty curriculum learning for multi-modal AI systems.
Practical tools for converting classical tensors to quantum representations with efficiency optimizations.
Framework for measuring and evaluating consciousness-like properties in artificial intelligence systems.