- Classiq unveiled a new industry initiative, the Quantum Computing for Life Sciences & Healthcare Center.
- The collaboration includes NVIDIA and the Tel Aviv Sourasky Medical Center.
- Critical Quote: “The opportunities for quantum computing and especially the software that drives it are growing very quickly. The new Quantum Computing for Life Sciences & Healthcare Center aspires to bridge the gap between quantum theory and practice with tangible benefits in life sciences, healthcare and beyond.” — Classiq CEO Nir Minerbi
PRESS RELEASE — Quantum software pioneer Classiq unveiled a new industry initiative, the Quantum Computing for Life Sciences & Healthcare Center, formed in collaboration with NVIDIA and the Tel Aviv Sourasky Medical Center. The initiative will champion the development and implementation of quantum algorithms and applications, targeting their transformative potential on life sciences and healthcare.
Quantum computing, with the potential to process multifaceted data at unparalleled speeds, may play a pivotal role in reinventing domains like drug discovery, molecular analysis and bespoke medical treatment strategies. Beyond these domains, quantum computing may also be leveraged to address the challenges within supply chain and treatment coordination. By optimizing pharmaceutical supply chains, quantum may ensure the timely and efficient delivery of critical medications. For example, by aiding in treatment coordination, it could streamline patient care, ensuring optimized and personalized therapeutic journeys based on individual medical histories and real-time health data.
Classiq CEO Nir Minerbi said, “The opportunities for quantum computing and especially the software that drives it are growing very quickly. The new Quantum Computing for Life Sciences & Healthcare Center aspires to bridge the gap between quantum theory and practice with tangible benefits in life sciences, healthcare and beyond.”
In collaboration with NVIDIA, Classiq will establish a multifaceted research landscape. Leveraging NVIDIAH100 Tensor Core GPU capabilities, along with the integration between the NVIDIA CUDA Quantum programming platform and Classiq’s software infrastructure, the center is set to offer a robust environment for quantum-centric innovations and training non-quantum experts.
“Integrated quantum-classical computing holds great potential for powering breakthroughs in life sciences and healthcare, but many challenges to realizing that potential remain yet to be addressed,” said Tim Costa, Director of High-Performance Computing and Quantum at NVIDIA. “The Classiq Quantum Computing for Life Sciences & Healthcare Center, built on NVIDIA CUDA Quantum, aims to help researchers tackle these challenges and push the boundaries in applying quantum computing to problems in this critical area.”
Initiating the center’s collaborative approach is the renowned Tel Aviv Sourasky Medical Center (Ichilov Hospital). Celebrated for its progressive technological adoptions and pioneering AI integrations since 2014, this institution embodies the future-ready ethos of the healthcare sector.
Prof. Roni Gamzu of the Tel Aviv Sourasky Medical Center said, “Clinical and operational activities are typically managed at Ichilov Hospital through smart, data-driven computing systems. We are proud of our achievements but at the same time very much aware that currently available tools are not efficient enough to provide solutions to the steadily growing complexity of our systems. For this exact reason, we are delighted to announce the opening of the first quantum computing lab here at Ichilov. Together with Classiq and NVIDIA, we will break the boundaries of data science for the benefit of medicine and patients. I am convinced that this unique initiative will pave the way for a radically novel approach to data management in health organizations to the benefit of our patients and society at large.”
With the Quantum Computing for Life Sciences & Healthcare Center, Classiq and its collaborators are poised to tap into quantum capabilities to propel life sciences and healthcare into a future with potential for greater precision, efficiency and innovation.