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New Drug Development Targeted by Quantum CompaniesNew Drug Development Targeted by Quantum Companies

Classiq, Quantum Intelligence Corp partner to explore quantum computing for pharmacology

Berenice Baker, Editor, Enter Quantum, co-editor AI Business

April 5, 2024

1 Min Read
Glass ampoules on a conveyor
Classiq and QIC aim to make drug development faster and safer. Getty

Quantum computing company Classiq is working with South Korea-based Quantum Intelligence Corp (QIC) on research to accelerate drug development using quantum computing.

The project falls under the Quantum Computing for Life Sciences and Healthcare Center, which Classiq launched with Nvidia last year. The initiative aims to develop and implement quantum algorithms and applications for life sciences and health care.

The new program aims to make drug development more efficient and accurate by integrating Classiq's quantum computing platform with QIC's drug development platform.

The partners plan to use Classiq’s platform to explore how quantum computing could be used for predictive and analytical applications in pharmacology. This includes discovering and designing new drug candidates and the prediction of potential side effects and interactions.

“This agreement marks a significant step towards a new era of accelerated drug development using quantum computing technology,” said Classiq CEO Nir Minerbi.

“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.”

QIC developed a candidate drug testing platform based on quantum computing and AI technologies called QUEST-ADMET. It aims to predict compound properties through electronic charge distribution algorithms to assess potential new drugs for effectiveness and safety.

Related:Nvidia Collaborates for Hybrid Quantum

“Quantum Intelligence diverges from the traditional route of biopharmaceutical companies, positioning itself more as a platform company powered by quantum and AI technology,” said QIC CEO Hwanho Choi.

“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.”

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About the Author

Berenice Baker

Editor, Enter Quantum, co-editor AI Business, Informa TechTarget

Berenice is the editor of Enter Quantum and co-editor of AI Business. She has over 20 years of experience as a technology journalist, having previously worked at The Engineer and Global Defence Technology.

Before that, she worked as an IT consultant, fuelling her passion for technology and innovation. She graduated with one of the country's first-ever IT degrees so long ago it coincided with Tim Berners-Lee inventing the World Wide Web.

Berenice lives in north London with her cat Huxley. In her spare time, she enjoys going to music gigs, museums and galleries, dabbling in art and playing guitar (badly).

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