Discovering optimal fermion-qubit mappings through algorithmic enumeration
Mitchell Chiew, Sergii Strelchuk

TL;DR
This paper introduces a novel approach to optimize fermion-qubit mappings by leveraging enumeration schemes for fermionic modes, significantly reducing the complexity of qubit Hamiltonians in quantum simulations.
Contribution
It demonstrates a new method for designing optimal fermion-qubit mappings using enumeration schemes, achieving substantial reductions in Pauli weight without additional resources.
Findings
Minimizes average Pauli weight in Jordan-Wigner transformations by 13.9%.
Reduces Hamiltonian complexity by 37.9% with two ancilla qubits.
Achieves an $n^{1/4}$ improvement in average Pauli weight for cellular arrangements.
Abstract
Simulating fermionic systems on a quantum computer requires a high-performing mapping of fermionic states to qubits. A characteristic of an efficient mapping is its ability to translate local fermionic interactions into local qubit interactions, leading to easy-to-simulate qubit Hamiltonians. All fermion-qubit mappings must use a numbering scheme for the fermionic modes in order for translation to qubit operations. We make a distinction between the unordered labelling of fermions and the ordered labelling of the qubits. This separation shines light on a new way to design fermion-qubit mappings by making use of the enumeration scheme for the fermionic modes. The purpose of this paper is to demonstrate that this concept permits notions of fermion-qubit mappings that are optimal with regard to any cost function one might choose. Our main example is the minimisation of the average number…
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