When to Reject a Ground State Preparation Algorithm
- URL: http://arxiv.org/abs/2212.09492v2
- Date: Thu, 22 Dec 2022 15:08:02 GMT
- Title: When to Reject a Ground State Preparation Algorithm
- Authors: Katerina Gratsea, Chong Sun and Peter D. Johnson
- Abstract summary: We introduce a criteria for accepting or rejecting a GSP method for the purposes of GSEE.
We consider different methods ranging from algorithms with provable performance guarantees to benchmark their performance on different chemical systems.
This work sets a foundation from which to further explore the requirements to achieve quantum advantage in quantum chemistry.
- Score: 3.8624049174917214
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In recent years substantial research effort has been devoted to quantum
algorithms for ground state energy estimation (GSEE) in chemistry and
materials. Given the many heuristic and non-heuristic methods being developed,
it is challenging to assess what combination of these will ultimately be used
in practice. One important metric for assessing utility is runtime. For most
GSEE algorithms, the runtime depends on the ground state preparation (GSP)
method. Towards assessing the utility of various combinations of GSEE and GSP
methods, we asked under which conditions a GSP method should be accepted over a
reference method, such as the Hartree-Fock state. We introduce a criteria for
accepting or rejecting a GSP method for the purposes of GSEE. We consider
different GSP methods ranging from heuristics to algorithms with provable
performance guarantees and perform numerical simulations to benchmark their
performance on different chemical systems, starting from small molecules like
the hydrogen atom to larger systems like the jellium. In the future this
approach may be used to abandon certain VQE ansatzes and other heursitics. Yet
so far our findings do not provide evidence against the use of VQE and more
expensive heuristic methods, like the low-depth booster. This work sets a
foundation from which to further explore the requirements to achieve quantum
advantage in quantum chemistry.
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