Quantum computers offer the prospect of enabling calculations of electronic energies for systems well beyond the reach of conventional computers. However, realizing the full promise of quantum computing is heavily dependent on the implementation of error correction and fault tolerance. Current quantum computing devices with relatively small numbers of qubits have limited coherence times and generally do not employ error correction. I shall discuss hybrid quantum-classical algorithms that allow small scale demonstrations of quantum algorithms for quantum chemistry to be implemented on these noisy intermediate-scale quantum (NISQ) devices. These show how domain specific constraints, in this instance from the electronic structure problem, present both challenges and opportunities when imposed on solution of general mathematical and numerical problems. Tradeoffs between the different kinds of resource costs incurred will be discussed.

What can quantum computing do for quantum chemistry and how can it realize the promise?

ACS Spring Meeting 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.