Cleveland Clinic lead: Dan Blankenberg, PhD - IBM lead: Borja Peropadre, PhD
Classical computers, like the one you are using to read this text, rely on informational units known as bits. Bits can be in only one of two states: 0 or 1, also known as off/on or false/true. Conversely, quantum computers make use of quantum bits, or qubits. A qubit has the unique ability to place information into a state of superposition, a fundamental principle of quantum mechanics that allows the qubit to exist in both states.
Using the phenomena of quantum physics, new computing machines — like Cleveland Clinic’s Quantum System One — have been built to process information in new ways. This will lead to promising breakthroughs in a wide range of fields, including physics, chemistry, biology, machine learning, optimization, complex systems and risk analysis, anomaly detection and more.
Our Projects
DARPA Benchmarking Proposal
Cleveland Clinic lead: Dan Blankenberg, PhD - IBM lead: Omar Shehab, PhD
This project will develop a quantum computing benchmarking framework for fault-tolerant quantum computers. It will lead to developing, analyzing, selecting and delivering benchmarking problems for a variety of fields — including genomics, computational biology, protein conformational analysis, protein-drug interaction, radiation therapy planning, healthcare process optimization, computational biology and computational chemistry.
Investigating quantum kernels for real-world predictions
Cleveland Clinic lead: Erix Hixson, PhD - IBM lead: Omar Shehab, PhD
This project is based on active work studying the risk of perioperative cardiovascular adverse events following non-cardiac surgery. The quantum project will use a new (ε, δ)-differentially private synthetic dataset derived from the confidential data to evaluate the feasibility and comparative predictive performance of quantum algorithms and quantum-classical algorithms on representations of large electronic health record datasets.
Quantum Enablement series
Cleveland Clinic lead: Dan Blankenberg, PhD - IBM lead: Borja Peropadre, PhD
Cleveland Clinic caregivers will be instructed on the fundamental aspects of quantum computing to educate them on using IBM quantum computers via the Quantum Information Science Kit framework (Qiskit). This will enable caregivers to perform state-of-the-art research on quantum computing applications within healthcare and biomedical spaces.
Quantum chemistry drug discovery research collaboration
Cleveland Clinic lead: Jun Qin, PhD - IBM lead: Gavin Jones, PhD
In collaboration with IBM, we will develop the quantum computing method to screen and optimize drugs targeted to specific proteins. We plan to use AT1R protein as the subject of the studies since it is well recognized as the drug target GPCR protein with known drugs developed.
