Quantum Simulations of Chemistry in First Quantization with any Basis Set
ORAL
Abstract
Quantum computation of the energy of molecules and materials is one of the most promising
applications of fault-tolerant quantum computers. Practical applications require development of
quantum algorithms with reduced resource requirements. Previous work has mainly focused on
quantum algorithms where the Hamiltonian is represented in second quantization with compact
basis sets while existing methods in first quantization are limited to a grid-based basis. In this work,
we present a new method to solve the generic ground-state chemistry problem in first quantization
using any basis set. We achieve asymptotic speedup in Toffoli count for molecular orbitals, and
orders of magnitude improvement using dual plane waves as compared to the second quantization
counterparts. In some instances, our approach provides similar or even lower resources compared to
previous first quantization plane wave algorithms that, unlike our approach, avoids the loading of
the classical data. This work opens up possibilities to reduce quantum resources even further using,
for example, factorization of a Hamiltonian and modern pseudopotentials.
applications of fault-tolerant quantum computers. Practical applications require development of
quantum algorithms with reduced resource requirements. Previous work has mainly focused on
quantum algorithms where the Hamiltonian is represented in second quantization with compact
basis sets while existing methods in first quantization are limited to a grid-based basis. In this work,
we present a new method to solve the generic ground-state chemistry problem in first quantization
using any basis set. We achieve asymptotic speedup in Toffoli count for molecular orbitals, and
orders of magnitude improvement using dual plane waves as compared to the second quantization
counterparts. In some instances, our approach provides similar or even lower resources compared to
previous first quantization plane wave algorithms that, unlike our approach, avoids the loading of
the classical data. This work opens up possibilities to reduce quantum resources even further using,
for example, factorization of a Hamiltonian and modern pseudopotentials.
–
Publication: https://arxiv.org/pdf/2408.03145
Presenters
-
Marius Bothe
Riverlane Ltd
Authors
-
Marius Bothe
Riverlane Ltd
-
Timothy N Georges
Riverlane Ltd, Riverlane Ltd.
-
Christoph Sünderhauf
Riverlane, Riverlane Ltd., Riverlane Ltd
-
Bjorn K Berntson
Riverlane Ltd
-
Robert Izsak
Riverlane Ltd
-
Aleksei V Ivanov
Riverlane Ltd, Riverlane Ltd.