Seminar: Nicholas Rubin, Google
Reduced density matrices and simulating fermionic systems on near-term quantum resources
In this talk, simulating fermionic systems on classical and quantum resources from a reduced-density-matrix (RDM) perspective will be discussed.
Quantum computers could potentially revolutionize research in chemistry and material science by allowing a new mechanism for designing new materials, drugs, and catalysts. Image: Louis Reed/Unsplash
Presenter: Nicholas Rubin
Title: Reduced density matrices and simulating fermionic systems on near-term quantum resources
Abstract:
In this talk I will discuss simulating fermionic systems on classical and quantum resources from a reduced-density-matrix (RDM) perspective. Classically, the variational RDM method provides a lower bound to the ground state energy and can be formulated as a semidefinite program. From a quantum perspective, reduced density matrices provide a route to error mitigation techniques informed by the geometry of allowable fermionic states. Applied to the variational quantum eigensolver we devise methodologies that extend the accuracy of chemical simulations with minimal additional quantum resource requirements.
