In collaboration with Microsoft, Case Western Reserve University created an MRI scan that takes a third of the time of a conventional MRI based on quantum solutions running on classical hardware. These advances in speed could help doctors detect diseases earlier, develop new drugs for conditions where progress is hard to measure today, or use imaging to diagnose cancers rather than relying on invasive procedures like biopsies.
OTI Lumionics develops advanced materials for OLED displays for use in next generation consumer electronics. This includes fully transparent displays that can integrate under-display cameras. Using their quantum chemistry applications with Microsoft’s quantum-inspired algorithms running in Azure, the team was able to successfully simulate Alq3, an OLED fluorescent material, with greater accuracy than typical methods available today. These quantum solutions enabled the team to achieve simulation without the need for expensive high-performance computations or a scalable quantum system. This marks a milestone in chemistry simulation that could inspire more efficient and scalable methods of materials, chemical and drug discovery across the industry.
Recently, Microsoft partnered with 1QBit and IonQ to demonstrate end-to-end quantum computing in Azure Quantum. The team collaborated with Dow and identified a problem in which the molecular energy of a ring of hydrogen atoms had to be evaluated. Using 1QBit’s problem decomposition solution expressed in Q#, the team was able to run computation in Azure against IonQ’s quantum computer based on trapped ions. This demonstrates how Azure Quantum can start to fuel innovations across the quantum stack – from applications and algorithms down to simulators and hardware. By bringing these end-to-end capabilities into one platform, the quantum community will be able to unlock new solutions that scale to even greater impact in the future.