Jonathan M. Baker

Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment

2021

In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and apply such a hybrid quantum-classical algorithm to a power system optimization problem …

Navigating the dynamic noise landscape of variational quantum algorithms with QISMET

2022 · arXiv (Cornell University)

Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detrimental to classes of applications that are iterative and/or long-running, and therefore their timely mitigation is important for quantum advantage …

CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms

2022

Classical computing plays a critical role in the advancement of quantum frontiers in the NISQ era. In this spirit, this work uses classical simulation to bootstrap Variational Quantum Algorithms (VQAs). VQAs rely upon the iterative …