Classiq joins the project SEQUOIA which focuses on software engineering of quantum applications and industrial hybrid quantum algorithms
Classiq, which provides a platform for designing quantum algorithms, announced that it is collaborating with the Fraunhofer Institute, the leading organization for applied research in Europe, as well as other major academic centers, in the development of software for industrial use of quantum computers
The SEQUOIA project, centered at the Center for Quantum Computing in Baden-Württemberg, focuses on software engineering of quantum applications and industrial hybrid algorithms. The project participants research, develop and test new methods, tools and procedures for quantum computing in order to enable future industrial use. It includes the Fraunhofer Institute for Industrial Engineering and Management IAO, the Fraunhofer Institute for Production Engineering and Automation IPA, the Fraunhofer Institute for Applied Solid State Physics for the Air Force, the University of Tübingen, the FZI Research Center and the IAAS and HLRS institutes at the University of Stuttgart.
The SEQUOIA project focuses on three main aspects:
- The quantum application center with applications and algorithms, for example for production, manufacturing, logistics, energy and engineering.
- The set of quantum software components as a basis for implementing application components, algorithms, hybrid quantum-classical solutions and demonstrator.
- A quantum software engineering model with its own methods, procedures, technologies and experiences from the project.
"We are happy for the opportunity to collaborate with the Fraunhofer Institute on groundbreaking software work for the benefit of industrial clients," says Shai Lev, Head of Business Development and Partnerships at Classiq, "This collaboration leverages the unique capabilities of Classiq and the Fraunhofer Institute, two leaders in their field."
Specifically, Classiq will work within SEQUOIA and with SEQUOIA partners on two main issues:
- Solving mixed integer linear programming (MILP) problems on state-of-the-art (gate-based) quantum computers. MILP problems are a special class of linear programming problems used for production planning and scheduling, optimization of cellular and telecommunication networks, and more.
- Solving partial differential equations with the Herro Lloyd (HHL) quantum algorithm. Many problems such as fluid flow, electrodynamics and more are used in these equations.
"We welcome Classic to the Sequoia partnership," says Dr. Christian Tuchko, from the Fraunhofer Institute. "We look forward to working with the Classiq team on innovative methods for creating quantum algorithms."
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