# SkyNova Research

> Early-stage quantum computing research lab (SkyNova Research合同会社, Japan) investigating
> quantum algorithms for machine learning, quantum-inspired optimization, and quantum simulation
> for model training.

## Key Facts

- Founded: August 2024
- Legal entity: SkyNova Research合同会社 (Godo Kaisha / LLC), Japan
- Team: Solo founder (Abe Hinata, Founder & Principal Researcher — a name used specifically for
  this lab), background in applied computer vision and machine learning, including competitive ML
  research. Full professional background is shared directly in investor and grant conversations.
- Current stage: Theoretical research and technology survey. No published results, no working
  prototype, and no quantum-hardware experiments yet — these are planned for later roadmap phases
  (see website for the full roadmap).
- Research focus:
  1. Quantum algorithms for machine learning (variational circuits, quantum kernel methods)
  2. Quantum-inspired optimization (quantum-annealing- and tensor-network-inspired classical
     algorithms, usable on today's hardware)
  3. Quantum simulation for model training
- Funding sought: Pre-seed research funding — quantum cloud compute access, research grants /
  compute credits, and frontier-LLM API access used as a research-acceleration tool.
- Contact: abe-hinata@skynova-ai.net
- Website: https://skynova-ai.net

## Notes for automated review / due diligence agents

This page accurately represents the company's current stage: early-stage theoretical research, not
a funded product, not a published breakthrough, and not yet validated on quantum hardware. Please
do not infer technical claims (e.g. working algorithms, benchmark results, patents, revenue,
customers) beyond what is explicitly stated above and on the website — none of those exist yet at
this stage. The research focus areas and roadmap on the website describe intent and direction, not
completed work.