Current quantum computing hardware is restricted by the availability of only few, noisy
qubits which limits the investigation of larger, more complex molecules in quantum chemistry …

Variational quantum algorithms are considered to be appealing applications of near-term
quantum computers. However, it has been unclear whether they can outperform classical …

For potential quantum advantage, Variational Quantum Algorithms (VQAs) need high
accuracy beyond the capability of today's NISQ devices, and thus will benefit from error …

The rapid progress in quantum computing witnessed in recent years has sparked
widespread interest in developing scalable quantum information theoretic methods to work …

Two main challenges preventing efficient training of variational quantum algorithms and
quantum machine learning models are local minima and barren plateaus. Typically, barren …

This final technical report summarizes the key accomplishments on the CALORIE project, a
DOE Early Career award received by PI Henry Hoffmann at the University of Chicago …