
QMill
QMill develops quantum-advantage algorithms which will be executed on near-term quantum computers to solve complex problems that are too large for existing supercomputers.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | Angel | |
Total Funding | 000k |
EUR | 2024 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Company filings or news article
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Based in Espoo, Finland, a significant hub for quantum technology, QMill was established in 2024 to address complex computational challenges currently beyond the scope of classical supercomputers. The company operates on a software-centric business model, concentrating on the development of proprietary quantum algorithms. These algorithms are specifically engineered for Noisy Intermediate-Scale Quantum (NISQ) computers, the current generation of quantum hardware.
The founding team combines deep academic research with extensive experience in scaling technology ventures. It includes Hannu Kauppinen, the former CTO of Nokia Technologies; Mikko Möttönen, a professor of Quantum Technology and co-founder of hardware manufacturer IQM; Ville Kotovirta, who previously led the quantum algorithms team at VTT Technical Research Centre of Finland; and Toni Annala, a mathematician from the University of Chicago. This blend of expertise positions QMill to translate scientific breakthroughs into practical, commercial applications. The company secured €4 million in seed funding and a grant of nearly €1 million from Business Finland to expand its team and accelerate development.
QMill's core offering consists of quantum-advantage algorithms designed to tackle demanding optimization problems for industrial clients. The firm's revenue model is based on licensing its algorithm library for direct system integration and providing API-based access for running algorithms on various quantum computing platforms. This allows businesses in sectors such as telecommunications, energy, finance, and logistics to leverage quantum capabilities without requiring deep in-house expertise. The company utilizes supercomputers, including the LUMI supercomputer, to simulate, verify, and benchmark its algorithms against classical computing methods, aiming to demonstrate a quantum advantage in the near future.
Keywords: quantum algorithms, quantum computing, NISQ, optimization problems, industrial optimization, quantum software, deep tech, computational modeling, algorithm licensing, API access, Espoo quantum hub, supply chain optimization, financial modeling, energy networks, telecom optimization, quantum advantage, high-performance computing, complex problem solving, scientific computing, business intelligence