D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave”), a leader in quantum computing systems, software and services, and the pharmaceutical division of Japan Tobacco Inc. (“JT”) announced plans to partner on a joint proof-of-concept project to explore the use of quantum computing technology and artificial intelligence (“AI”) to accelerate the speed and quality of the drug discovery process, i.e., “Quantum AI-driven Drug Discovery.” The project aims to pioneer a new process for discovering ‘first-in-class’ pharmaceutical small compounds. Upon completion of the proof-of-concept project, JT’s pharmaceutical division intends to further advance the developed Quantum AI-driven Drug Discovery analysis systems and eventually apply the quantum computing technology in production operations.
“Pharmaceutical companies need to maintain competitiveness while addressing the challenges of difficulty, uncertainty, and duration in new drug development, creating an environment that is accelerating the speed and quality for AI drug discovery,” said Dr. Alan Baratz, CEO of D-Wave. “D-Wave is committed to supporting JT’s pharmaceutical division in maximizing the capabilities of AI through quantum computing technology, with the goal of expanding the exploration space for pharmaceutical small compounds.”
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About D-Wave Quantum Inc.
D-Wave is a leader in the development and delivery of quantum computing systems, software and services, and is the world’s first commercial supplier of quantum computers—and the only company building both annealing quantum computers and gate-model quantum computers. The company’s mission is to unlock the power of quantum computing today to benefit business and society. D-Wave does this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection and financial modeling. D-Wave’s technology has been used by some of the world’s most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jülich, University of Southern California, and Los Alamos National Laboratory.
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