Classiq, an Israel-based quantum computing company and leader in quantum software, has announced today that it is collaborating with Rolls Royce, a global leader in aerospace and power systems, to develop revolutionary computational fluid dynamics algorithms. The partnership will integrate quantum and traditional computing approaches, using each technology’s capabilities.
“We’re honored to work with Rolls Royce on a sophisticated quantum solution to an important industrial challenge. The Classiq platform will enable Professor Lapworth’s team of experts to reach ground-breaking results using a novel algorithmic approach,”
Shai Lev, VP of Strategic Partnerships at Classiq.
Computational fluid dynamics (CFD) is used in complex numerical fluid and gas process simulations. It is key for enhancing advanced equipment design by optimizing aerodynamics and thermodynamics.
A hybrid classical/quantum computer version of CFD can use the quantum Harrow-Hassidim-Lloyd (HHL) method, which solves a linear set of equations. Classical and quantum hardware solve the nonlinear and linear sections, respectively.
Classiq will build optimized circuits for the various quantum functions inside the HHL method and will give an efficient implementation of the linear problem specification into the quantum circuit. Rolls-Royce will build, optimize, and evaluate quantum algorithms using the Classiq platform. They will be able to deploy revolutionary computational fluid dynamics hardware-agnostic algorithms.
“We are very pleased to be working with Classiq on a very important part of our quantum computing roadmap. Classiq’s unique platform offers both optimization and ease of use that will be essential as we seek to run more and more sophisticated CFD models,”
Leigh Lapworth, Rolls-Royce Fellow, and Quantum Computing Lead.
Classiq’s sophisticated synthesis engine explores a wide design space of alternative circuits to satisfy each user’s demands and deliver cutting-edge optimization, leaving users with additional resources such as time, qubits, quantum gates, or accuracies.
This functional-level exploration is only conceivable when circuits are synthesized from functional models, fundamentally different from previous quantum solution approaches. In the future, quantum computers are predicted to give a calculating speedup over classical computers, and capability development is critical in preparing for this new computing era.