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Rolls-Royce and Classiq Collaborate on Quantum Algorithm Design

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Insider Brief

  • Classiq, the leader in quantum software, today announced that it is working with Rolls-Royce to implement novel computational fluid dynamics — CFD — algorithms.
  • CFD requires heavy, and complex numerical simulations of fluid and gas phenomena.
  • Rolls Royce is interested in it because it is critical to designs that could optimizing aerodynamics and thermodynamics.

PRESS RELEASE — Classiq, a leader in quantum software, today announced that it is working with Rolls-Royce to implement novel computational fluid dynamics algorithms. Computational fluid dynamics (CFD) deals with heavy, and complex numerical simulations of fluid and gas phenomena. Used in many industrial applications, CFD is key to improving advanced equipment design by, for example, optimizing aerodynamics and thermodynamics. The collaboration will combine quantum and classical computing techniques, leveraging the strengths of each technology.

The quantum HHL algorithm, which solves a linear set of equations, can be utilized in a hybrid classical/quantum computer implementation of CFD. The nonlinear and linear parts are solved on classical and quantum hardware, respectively.

Classiq will provide an efficient implementation of the linear problem definition into the quantum circuit and will generate optimized circuits for the different quantum functions within the HHL algorithm. Using the Classiq platform, Rolls-Royce will develop state-of-the-art optimized quantum circuits for the HHL algorithm.

“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 optimisation and ease of use that will be essential as we seek to run more and more sophisticated CFD models”, said Leigh Lapworth, Rolls-Royce Fellow and Quantum Computing Lead. “Achieving our net zero carbon goals requires ongoing enhancements to the sophistication of design simulations that will continue to stretch the limits of classical supercomputing. The potential of quantum computers to drastically reduce simulation run-times cannot be ignored and the work we’re doing today ensures we will have the capabilities to benefit from Quantum Advantage when it arrives.”

The Classiq platform will enable Rolls-Royce to design, optimize, and analyze quantum algorithms that scale. This will allow Rolls-Royce, a leader in aerospace and power systems, to implement novel computational fluid dynamics algorithms in a way that is hardware independent.

Classiq’s powerful synthesis engine implicitly explores a vast design space of potential circuits to meet each users’ needs and provides state of the art optimization – leaving users with more resources, whether it’s time, qubits, quantum gates, or accuracies. This functional-level exploration is possible only when synthesizing circuits from functional models, an approach fundamentally different from existing quantum solution schemes.

Quantum computers are expected to provide a calculation speedup compared to classical computers in the coming years and capability building is a key step to take in preparation for this new computing era. Rolls-Royce, with Classiq’s support, is implementing optimized and hardware-agnostic algorithms for the quantum computers of today and tomorrow.

“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 state of the art results using a novel algorithmic approach”, said Shai Lev, VP of Strategic Partnerships at Classiq.

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With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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