Classiq, a pioneering quantum computing software firm, and Quantum Intelligence Corp. (QIC, Korea) have forged a groundbreaking collaboration to harness the power of quantum computing in accelerating drug development. This partnership, operating under the auspices of Classiq’s Quantum Computing For Life Sciences & Healthcare Center, aims to explore the application of quantum computing in various predictive and analytical aspects of pharmacology.
The joint research endeavor will leverage Classiq’s cutting-edge quantum computing platform to facilitate the discovery and design of novel drug candidates, while also enabling more accurate predictions of potential side effects and drug interactions. By seamlessly integrating Classiq’s platform with QIC’s drug development platform, the partnership seeks to significantly enhance the efficiency and precision of the drug development process.
‘Quantum Intelligence diverges from the traditional route of biopharmaceutical companies, positioning itself more as a platform company powered by quantum and AI technology,’ stated QIC’s CEO, Hwanho Choi, MD., PhD. ‘Through this unique collaborative approach, we aim to precisely identify potential side effects early on, reducing risks across all stages of drug development and clinical trials.’
QIC, a South Korean startup, has pioneered the QUEST-ADMET platform, which utilizes quantum computing and AI technologies to predict compound properties through electronic charge distribution algorithms, thereby enabling efficient assessment of drug candidates’ efficacy and safety.
Classiq’s CEO, Nir Minerbi, emphasized the significance of this agreement, stating, ‘This agreement marks a significant step towards a new era of accelerated drug development using quantum computing technology. By combining Classiq’s quantum computing technology with QIC’s drug development platform, we target significant improvements in the efficiency and accuracy of drug development.’
Classiq’s platform offers a high-level abstraction that simplifies and accelerates the development of efficient, complex quantum software and applications. Its built-in functions, GitHub repository, and seamless execution on quantum computing hardware will play crucial roles in the research aimed at developing pharmacology applications.
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