Succinct Fermion Data Structures
Joseph Carolan, Luke Schaeffer

TL;DR
This paper introduces two new quantum data structures for efficiently representing fermionic states, reducing space and gate complexity by leveraging physical symmetries and information-theoretic bounds.
Contribution
It proposes two novel fermion encodings that nearly match the minimal qubit requirement and significantly improve rotation gate complexity over prior methods.
Findings
First encoding uses near-minimal qubits with efficient rotations.
Second encoding achieves constant extra qubits with polynomial gate complexity.
Both encodings outperform previous approaches in space and gate efficiency.
Abstract
Simulating fermionic systems on a quantum computer requires representing fermionic states using qubits. The complexity of many simulation algorithms depends on the complexity of implementing rotations generated by fermionic creation-annihilation operators, and the space depends on the number of qubits used. While standard fermion encodings like Jordan-Wigner are space optimal for arbitrary fermionic systems, physical symmetries like particle conservation can reduce the number of physical configurations, allowing improved space complexity. Such space saving is only feasible if the gate overhead is small, suggesting a (quantum) data structures problem, wherein one would like to minimize space used to represent a fermionic state, while still enabling efficient rotations. We define a structure which naturally captures mappings from fermions to systems of qubits. We then instantiate it in…
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