Aker BP Partners with Cambridge Quantum Computing to Develop Quantum Machine Learning Algorithms for Energy Industry

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Cambridge Quantum Computing and Aker BP collaborated to create quantum machine learning applications for the energy industry.

Quantum computers are beginning to provide real-world solutions to business challenges, A collaboration between a quantum pioneer and one of Europe’s largest independent energy companies offers one of the earliest applications of quantum machine learning to the energy sector – an important step forward in the utility of today’s Noisy Intermediate Scale Quantum (“NISQ”) processors.

Cambridge Quantum Computing (“CQC”) announced the results of their work with energy giant Aker BP in a company statement.

According to the statement, the collaboration between Oslo based, Aker BP and CQC saw the design and demonstration of a cutting-edge quantum machine learning (“QML”) algorithm to tackle a multiphase flow classification problem.

The team’s solution consisted of an instantaneous quantum polynomial-time circuit trained as a three-class classifier, implemented on an IBM quantum processor using CQC’s quantum software development platform – t|ket⟩TM. Tested on Aker BP data, the QML classifier only required a handful of qubits to match the performance of a classical Support Vector Machine (“SVM”) with nonlinear kernels.

Mattia Fiorentini, Head of Quantum Machine Learning at CQC said, “We are pleased by the nature and results of our collaboration with Aker BP, demonstrating the early application of NISQ solutions to the energy sector. As both hardware and software continue to show significant developments, the impact of quantum technologies on many industry verticals is becoming increasingly clear.”

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Matt Swayne

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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