Fotios Gkritsis, Daniel Dux, Jin Zhang, Naman Jain, Christian Gogolin, Philipp M. Preiss
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Simulating Chemistry with Fermionic Optical Superlattices
We show that quantum number preserving Ans\"atze for variational optimization
in quantum chemistry find an elegant mapping to ultracold fermions in optical
superlattices. Using native Hubbard dynamics, trial ground states for arbitrary
molecular Hamiltonians can be prepared and their molecular energies measured in
the lattice. The scheme requires local control over interactions and chemical
potentials and global control over tunneling dynamics, but foregoes the need
for optical tweezers, shuttling operations, or long-range interactions. We
describe a complete compilation pipeline from the molecular Hamiltonian to the
sequence of lattice operations, thus providing a concrete link between quantum
simulation and chemistry. Our work enables the application of recent quantum
algorithmic techniques, such as Double Factorization and quantum Tailored
Coupled Cluster, to present-day fermionic optical lattice systems with
significant improvements in the required number of experimental repetitions. We
provide detailed quantum resource estimates for small non-trivial hardware
experiments.