Publications
Optimal fermion-to-qubit mapping via ternary trees with applications to reduced quantum states learning
Abstract
We introduce a fermion-to-qubit mapping defined on ternary trees, where any single Majorana operator on an -mode fermionic system is mapped to a multi-qubit Pauli operator acting nontrivially on 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 qubits on average. We apply it to the problem of learning -fermion reduced density matrix (RDM), a problem relevant in various quantum simulation applications. We show that one can determine individual elements of all -fermion RDMs in parallel, to precision , by repeating a single quantum circuit for times. This result is based on a method we develop here that allows one to determine individual elements of all -qubit RDMs in parallel, to precision , by repeating a single quantum circuit for times, independent of the system size. This improves over existing schemes for determining qubit RDMs.
- Date
- 2020
- Authors
- Zhang Jiang, Amir Kalev, Wojciech Mruczkiewicz, Hartmut Neven
- Journal
- Quantum
- Volume
- 4
- Pages
- 276
- Publisher
- Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften