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BMW Group and Amazon Web Services Select QCI’s ‘Qatalyst’ as a Finalist in the Quantum Computing Challenge

QCI qatalyst model
QCI qatalyst model
Qatalyst quantum software was selected as a finalist for the final round of the BMW Group and Amazon Web Services (AWS) Quantum Computing Challenge.

PRESS RELEASE — Quantum Computing Inc., a leader in bridging the power of classical and quantum computing, announced that its Qatalyst ready-to-run quantum software was selected as one of three finalists for the second and final round of the BMW Group and Amazon Web Services (AWS) Quantum Computing Challenge for the Vehicle Sensor Placement use case.

The Quantum Computing Challenge invited the quantum community to apply innovations in quantum computing to real world problems in industrial applications. The use case problems presented in the challenge represent critical commercial applications that demonstrate the real-world value of quantum computing.

BMW stated that its goal with the challenge is to “tap into additional innovative power, inspire new thinking, and create opportunities for quantum builders to work with BMW on meaningful business problems.”

The Vehicle Sensor Placement use case challenges participants to find optimal configurations of sensors for a given vehicle so that it can reliably detect obstacles in different driving scenarios – using quantum computing or nature-inspired optimization approaches. The number of sensors per car is expected to increase significantly as autonomous driving becomes more common. Vehicles need sensors to gather data from as large a portion of their surroundings as possible, but each sensor adds additional costs, so optimizing the sensor placement uses genetic algorithms. The goal of the challenge is to use quantum computing techniques to optimize the positions of sensors, enabling maximum coverage while keeping costs to a minimum.

“This Challenge is yet another step in showcasing quantum computing’s potential for commercial applications and real-world business problem solving,” said Bob Liscouski, CEO of QCI. “We are pleased that we have been selected to participate in the final level of competition, and our team will work hard to demonstrate the power of Qatalyst. Regardless of the final outcome, we believe that the applications for quantum computing will significantly increase over the coming years, and QCI is well positioned to be a key player.”

SOURCE: Quantum Computing Inc.
Quantum Computing Inc. (QCI) (Nasdaq: QUBT) is focused on accelerating the value of quantum computing for real-world business solutions. The company’s flagship product, Qatalyst, is the first software to bridge the power of classical and quantum computing, hiding complexity and empowering SMEs to solve complex computational problems today. QCI’s expert team in finance, computing, security, mathematics and physics has over a century of experience with complex technologies; from leading edge supercomputing innovations, to massively parallel programming, to the security that protects nations. Connect with QCI on LinkedIn and @QciQuantum on Twitter. For more information about QCI, visit www.quantumcomputinginc.com.

QCI trades on Nasdaq at QUBT.

About the BMW Group Quantum Computing Challenge
The BMW Group Quantum Computing Challenge is open to participants from research groups and companies worldwide. The challenge is organized into two rounds. In the first round, participants need to submit a well-documented concept proposal for one of four use case challenges. In the second and final round, teams with the top three submissions in each use case will be asked to build out their solutions. The final, virtual presentation to the competition’s judging panel, including domain experts from BMW and AWS will take place in December. The winners will be announced at the Q2B quantum computing industry conference (Dec. 7–9).

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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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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

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