QC Ware awarded a $1.5 million project in deeptech development funding from Bpifrance
The funding will be used to develop two new quantum software APIs for deep learning and finance which will be integrated into QC Ware’s Forge quantum-as-a-service platform. With a goal to create a quantum software ecosystem in Europe, the funds will also be used to hire ten new employees for QC Ware’s Paris office within the next three years.
“We are honored to have been awarded our second grant from Bpifrance after the i-Nov award,” said Iordanis Kerenidis, Head of Quantum Algorithms for QC Ware. “Quantum computing promises to revolutionize the future of information technology. With this new funding, we plan to continue growing the quantum software ecosystem in Europe from our Paris offices and fuel our mission to help companies in Europe and around the world prepare for the upcoming quantum disruption.”
QC Ware’s growing network of customers – which includes Aisin Group, Airbus, Air Force Research Laboratory (AFRL), BMW Group, Equinor, Goldman Sachs, and Total – collaborate with QC Ware on the design of practical algorithms that deliver performance on near-term quantum computing hardware. By potentially halving the industry timeline for quantum advantage, QC Ware has boosted enterprise and U.S. federal sector adoption of its algorithms for quantum machine learning, quantum Monte Carlo simulations, and quantum optimization. The company is experiencing brisk growth in collaborations with customers and hardware partners in fields that are ripe for quantum disruption, including chemistry simulations, materials discovery, drug design, and beyond.
Designed for data scientists and quantum engineers, Forge delivers a competitively advantageous path to quantum readiness. Forge distinguishes itself from other quantum computing cloud services by providing data scientists with access to pioneering and fine-tuned turnkey quantum algorithms for practical industry problems. Furthermore, quantum engineers can use Forge to gain access to the fundamental components of QC Ware’s unique algorithmic IP and reuse these as building blocks for more complex approaches.
Sandra K. Helsel, Ph.D. has been researching and reporting on frontier technologies since 1990. She has her Ph.D. from the University of Arizona.