Qunova Computing develops and provides quantum computing solutions. The company focuses on building platforms and algorithms tailored for complex computational problems. They aim to deliver practical applications leveraging quantum processing capabilities.
Funding
$3.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


Founders
Product
Problem
Drug and material design rely on accurate chemical modeling, but traditional computational analysis methods can be slow and lack the necessary precision, hindering innovation and slowing down research cycles. Existing solutions often struggle to achieve chemical accuracy, leading to suboptimal designs and increased development costs.
Solution
Qunova Computing offers a platform leveraging quantum simulation and optimization algorithms to provide precise chemical modeling and performance scoring. Their core product, Pulsar, enables accurate ab initio modeling for chemical design and scalable optimization of scientific and industrial problems. Additionally, their Milky Way platform employs quantum AI and quantum optimization techniques to discover innovative designs for Hit/Hit-to-Lead SBDD and FBDD Platforms for drug and material design. The platform achieves chemical accuracy on commercial quantum computers, accelerating computational analysis.
Target Audience
The primary target audience includes researchers and developers in the fields of drug discovery, materials science, and chemical engineering who require accurate and efficient computational tools for molecular modeling and design.
Features
- **Pulsar:** Provides ab initio modeling exploiting the power of quantum simulation for accurate chemical design and performance scoring.
- **Milky Way:** Utilizes Quantum AI, quantum optimization, and quantum annealing optimization for discovering innovative designs for Hit/Hit-to-Lead SBDD and FBDD Platforms.
- Achieves chemical accuracy (below 1.6 millihartrees) on NISQ-era quantum computers.
- HiVQE algorithm accelerates computations.
- Hardware-agnostic algorithm compatible with various quantum computing platforms.