We are pleased to announce the winners of Stage 1 of the NIH Quantum Computing Challenge!

The teams will receive $10,000 for their proposals and will be invited to participate in Stage 2 of the Challenge. Congratulations!

Stage 1 Winners

Team QCAT4CT
“Quantum Solution to NP-Hard Challenge in Limited-View and Sparse-View CT Image Reconstruction”
Lead: Yang Yang, Michigan State University

Artephi Computing, Inc.
“Accelerating Cancer Treatment Planning Using Quantum Computing”
Lead: Xiaodi Wu, Artephi Computing, Inc.

Team Baymax
“Quantum-Enhanced Nano-enabled Antimicrobial Design”
Lead: Lisa M. Stabryla, University of Illinois Chicago

Cleveland Clinic
“Quantum Tensor Decomposition for Medical Image Analysis”
Lead: Xiaojuan Li, Cleveland Clinic Lerner College of Medicine-CWRU

Team QUICK
“QUantum-Informed Simulation of Covalent Kinase Inhibitors”
Lead: Brenda Rubenstein, Brown University

Cleveland Clinic
“Alchemical Free Energy Calculations Using Quantum Hardware”
Lead: Kenneth M. Merz Jr., Cleveland Clinic Lerner College of Medicine-CWRU

University of Southern California
“A quantum computational stack for binding energies in cancer drug discovery (QCDD-bind)”
Lead: Rosa Di Felice, University of Southern California

Team QuantuMRI
“A novel quantum algorithm approach to enhance quantitative magnetic resonance imaging”
Lead: Riccardo Lattanzi, New York University

Singularity Quantum, Inc.
“Quantum Algorithms for Clinical Risk Predictions and Diagnosis for Cardiovascular Disease”
Lead: David Ahn, Singularity Quantum, Inc.

Narang Lab
“QuADSolve: Quantum Algorithms for Drug Discovery through Simulation of Solvent Environments”
Lead: Prineha Narang, University of California Los Angeles