Quantum Research Activities
Advancements in quantum research have paved the way for a new generation of technology with several near-term applications in biomedical fields.
About NIH Quantum Biomedical Innovations and Technologies (Qu-BIT) Program
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Recent progress in quantum information sciences (QIS) and engineering through the National Quantum Initiative and international efforts has led to new second-generation quantum technologies (i.e., sensing, computing, networking, communications). These technologies use the power of quantum physics and engineered quantum states for novel and improved measurement and computational abilities. Quantum sensing is the most advanced of these technologies; it has several near-term applications in biomedical fields. Quantum computing and algorithms are moving quickly and may be useful for certain biomedical applications.
Qu-BIT aims to further the application of innovative novel quantum-enabled sensing technologies and quantum computing approaches for various biomedical and translational use cases purposes.
NCATS has been leading the quantum science technology working group at NIH to explore ways to apply quantum technology in the areas of sensing and computing in biomedical fields. NCATS has identified several key gaps and opportunities to speed the development and adoption of prototype quantum technologies for real-world applications. NCATS partnered with other NIH institutes and centers (i.e., National Eye Institute, National Institute of Biomedical Imaging and Bioengineering, Office of Data Science Strategy, Center for Information Technology, and National Cancer Institute) to address these gaps and spur the application of these technologies to solve problems in clinical and biomedical sciences.
NCATS leads the NIH QIS and Quantum Sensing in Biology Interest Group. The group hosts seminars and workshops by national and international quantum experts to promote knowledge of quantum technology applications. The workshops also identify opportunities for learning, training, and workforce development in partnership with academia, industry, and government agencies.
Quantum Sensing for Biomedical Applications
Atomic-scale quantum sensing technologies provide unmatched sensitivity, precision, accuracy, and resolution to study and measure biological signals and processes. For example, they offer noninvasive detection of ultra-weak biological signals in vivo and in ultra-low sample volumes. They also are used in bioimaging without photodamage and photobleaching. Despite the advances in these technologies, their use in biomedical fields remains narrow and not well explored. Their real-world use requires further optimization, testing, validation, and application for translational impact in health sciences.
Quantum Computing for Biomedical Applications
Classical computations are limited by binary states, whereas quantum computations rely on multiple quantum states. This difference results in much higher computing speeds. Using mathematical formulations of quantum mechanics, such as entanglement and superposition, new quantum algorithms for improved speed and accuracy of current computations (e.g., simulation, optimization, machine learning) are emerging quickly. The rapid growth of quantum computing and quantum/classical algorithmic approaches may soon be able to transform certain biomedical use cases. These biomedical applications include molecular simulations, protein and DNA/RNA folding, drug discovery, medical image–based classification and diagnosis, biological sequence analysis, and treatment effectiveness forecasting. These items were noted as being of interest at a recent roundtable between the NIH and the U.S. Department of Energy.
NIH-Wide Quantum Funding Opportunities
- Notice of Special Interest (NOSI)—Quantum Sensing in Biomedical Applications (SBIR/STTR)
- Notice of Special Interest (NOSI)—Quantum Sensing Technologies in Biomedical Applications
- Advisory Council Concept Clearances: (Concept clearance May 2024) (AWAITING UPLOAD). Link to NIH VideoCast for presentation.
Related Links
Office of Data Science Strategy, Information Sciences
The Office of Data Science Strategy focuses on improving the use of data across the federal government. It promotes best practices in data science to enhance decision-making and drive innovation.
National Quantum Initiative
The National Quantum Initiative (NQI) aims to advance quantum information science and technology in the U.S. It focuses on research, education and collaboration to strengthen the U.S. position in this emerging field.
National Science and Technology Council
The National Science and Technology Council (NSTC) coordinates the U.S. government's science and technology policy across various agencies. Its goal is to promote innovation and ensure that research supports national priorities.