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Optimal Fermiontoqubit Mapping Via Ternary Trees With Applications To Reduced Quantum States Learning

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Hartmut Neven
paper · 2019-10-23
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We introduce a fermion-to-qubit mapping defined on ternary trees, where any single Majorana operator on an $n$-mode fermionic system is mapped to a multi-qubit Pauli operator acting nontrivially on $\lceil \log_3(2n+1)\rceil$ qubits. The mapping has a simple structure and is optimal in the sense that it is impossible to construct Pauli operators in any fermion-to-qubit mapping acting nontrivially on less than $\log_3(2n)$ qubits on average.

Ternary Tree Fermion-to-Qubit Mapping for Optimal RDM Learning