Fermionic Simulators for Enhanced Scalability of Variational Quantum Simulation
Qingyu Li, Chiranjib Mukhopadhyay, Abolfazl Bayat

TL;DR
This paper demonstrates that fermionic quantum simulators, enabled by recent advances in atomic manipulation, outperform qubit-based simulators in resource efficiency and scalability for simulating strongly correlated fermionic systems.
Contribution
The study provides a comprehensive comparison showing fermionic simulators are more resource-efficient and scalable than qubit-based ones for variational ground-state emulation of fermionic systems.
Findings
Fermionic simulators require fewer resources for quantum evolution.
They show less sensitivity to initial circuit parameters.
Performance advantage increases with system size and interaction strength.
Abstract
Near-term quantum simulators are mostly based on qubit-based architectures. However, their imperfect nature significantly limits their practical application. The situation is even worse for simulating fermionic systems, which underlie most of material science and chemistry, as one has to adopt fermion-to-qubit encodings which create significant additional resource overhead and trainability issues. Thanks to recent advances in trapping and manipulation of neutral atoms in optical tweezers, digital fermionic quantum simulators are becoming viable. A key question is whether these emerging fermionic simulators can outperform qubit-based simulators for characterizing strongly correlated electronic systems. Here, we perform a comprehensive comparison of resource efficiency between qubit and fermionic simulators for variational ground-state emulation of fermionic systems in both condensed…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
