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Code Editor : news.json.backup.1769688766840.json
[ { "id": "industry-partnership-quantum-ml", "date": "2024-11-15", "category": "Partnerships", "title": "Pharmaceutical Company Partners on Quantum ML for Drug Discovery", "description": "Major pharmaceutical firm to use CQT's quantum machine learning platform for accelerated drug screening.", "image": "/placeholder.svg", "author": "Dr. Arjun Mehta", "featured": false, "tags": [ "Industry", "Machine Learning", "Healthcare" ], "excerpt": "A leading pharmaceutical company has partnered with CQT to apply quantum machine learning algorithms to drug discovery and molecular design.", "content": "The Centre for Quantum Technology has announced a groundbreaking partnership with a major pharmaceutical company to apply quantum machine learning algorithms to drug discovery and molecular design. This collaboration represents one of the first commercial applications of quantum ML in the healthcare sector.\n\nUnder the three-year agreement, CQT's Quantum Machine Learning team, led by Dr. Arjun Mehta, will develop specialized quantum algorithms to screen millions of molecular compounds and identify promising drug candidates. The quantum approach is expected to reduce the time and cost of early-stage drug discovery by up to 40%.\n\n'Quantum computers can explore vast chemical spaces more efficiently than classical computers,' explains Dr. Mehta. 'Our variational quantum algorithms can predict molecular properties and binding affinities with remarkable accuracy, even on today's noisy quantum devices.'\n\nThe partnership will focus initially on identifying compounds for treating antibiotic-resistant infections, a global health priority. The pharmaceutical partner will provide access to their extensive chemical libraries and biological assay data, while CQT contributes quantum algorithms and computational resources.\n\nThe project will run on both quantum simulators and real quantum hardware provided by IBM and Google. Early results have already shown promising performance, with the quantum ML models matching or exceeding the accuracy of state-of-the-art classical methods while using significantly less computational time.\n\n'This collaboration demonstrates the practical value of quantum computing in addressing real-world challenges,' says the CQT Director. 'We're excited to contribute to accelerating the development of life-saving medications.'\n\nThe partnership includes provisions for joint publications, IP sharing, and potential licensing of the quantum ML platform to other pharmaceutical and biotech companies.", "relatedNews": [ "student-achievements-december", "quantum-error-correction-breakthrough" ], "externalLinks": [] } ]
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