The Senior Staff Scientist will lead efforts to discover, implement, test, and deploy hybrid quantum/classical algorithms for the prediction of chemical properties on near-term quantum circuit hardware. The Senior Staff Scientist will be responsible for developing QC Ware’s research portfolio by bringing in and working with clients (industrial customers and US federal funding agencies) to develop end-to-end workflows for the quantum solution of real-world chemistry problems. The overarching goal of this role is for the Senior Staff Scientist to find and manage a portfolio of clients who need to solve serious chemistry problems on NISQ hardware, where the quantum computing solution offers a performance advantage.
QC Ware has an established and growing portfolio of near-term quantum algorithms for quantum chemistry applications. We particularly focus on hybrid quantum/classical algorithms that provide an end-to-end prediction of useful chemical properties such as excitation energies and molecular interaction energies that use extensive classical pre-computation to compress the “hard kernel” of the problem to the minimal-sized qubit problem. More details can be found in some of our recent papers:
We are part of a large collaborative research endeavor in quantum algorithms for photochemistry sponsored by the US Department of Energy (DoE), and involving collaborators at SLAC National Accelerator Laboratory, Oak Ridge National Laboratory, University of Pennsylvania, and Columbia University. We also deliver quantum algorithms solutions for quantum chemistry for a number of industrial and government clients, including Covestro and Boehringer Ingleheim.