Classical algorithms for Forrelation
Sergey Bravyi, David Gosset, et al.
QIP 2022
Simulation of fermionic many-body systems on a quantum computer requires a suitable encoding of fermionic degrees of freedom into qubits. Here we revisit the superfast encoding introduced by Kitaev and one of the authors. This encoding maps a target fermionic Hamiltonian with two-body interactions on a graph of degree d to a qubit simulator Hamiltonian composed of Pauli operators of weight O(d). A system of m Fermi modes gets mapped to n=O(md) qubits. We propose generalized superfast encodings (GSEs) which require the same number of qubits as the original one but have more favorable properties. First, we describe a GSE such that the corresponding quantum code corrects any single-qubit error provided that the interaction graph has degree d≥6. In contrast, we prove that the original superfast encoding lacks the error correction property for d≤6. Second, we describe a GSE that reduces the Pauli weight of the simulator Hamiltonian from O(d) to O(logd). The robustness against errors and a simplified structure of the simulator Hamiltonian offered by GSEs can make simulation of fermionic systems within the reach of near-term quantum devices. As an example, we apply the new encoding to the fermionic Hubbard model on a 2D lattice.
Sergey Bravyi, David Gosset, et al.
QIP 2022
Stephen Bartlett, Sergey Bravyi, et al.
QIP 2020
Eugene Tang, Sergey Bravyi, et al.
QIP 2020
Abhinav Kandala, Kristan Temme, et al.
Nature