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EVMagz: Nvidia, BMW, and Classiq Partner to Explore Quantum Computing for Electric Vehicle Design

Nvidia, BMW, and Classiq Partner to Explore Quantum Computing for Electric Vehicle Design

Nvidia, BMW Group, and Classiq Technologies have embarked on a collaborative effort to leverage quantum computing in refining the design of electrical and mechanical systems for electric  vehicles (EVs). This initiative seeks to determine whether quantum computing can enhance efficiency and reduce energy waste, thereby advancing EV technology.

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The Quantum Insider: Classiq Collaborates With BMW Group And NVIDIA to Drive Quantum Computing Applicability in Electrical Systems Engineering

Classiq Collaborates With BMW Group And NVIDIA to Drive Quantum Computing Applicability in Electrical Systems Engineering

Insider Brief:
-Classiq announced a collaboration with NVIDIA and the BMW Group.
-The teams will work on solving a complex computational challenge to find the optimal architecture of electrical and mechanical systems.
-Ultimately, they hope to enhance efficiency and reduce energy waste, which can result – among other things – in the increased efficiency of electric vehicles.

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FierceElectronics: Classiq wants to streamline quantum software work for more businesses

Classiq wants to streamline quantum software work for more businesses

Matt Hamblen's piece in Fierce Electronics sheds light on Classiq's mission to make quantum software development more accessible. By integrating Classiq's quantum software with Nvidia CUDA-Q, Classiq is paving the way for innovations in hybrid quantum-classical computing and making it easier for companies to embark on their quantum journeys without the need for deep technical expertise.

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StorageReview: Researchers Poised for Advances With NVIDIA CUDA Quantum

Researchers Poised for Advances With NVIDIA CUDA Quantum

Classiq discusses its Tel Aviv Sourasky Medical Center research center to train life science experts in quantum application development as part of Nvidia's CUDA quantum community with Storage Review. This could lead to advancements in disease diagnosis and drug discovery.