ffsim: Faster simulation of fermionic quantum circuits

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Authors: Kevin J. Sung, Inho Choi, Mirko Amico, Bartholomew Andrews, Esra Ayantuna, Yukio Kawashima, Wan-Hsuan Lin, David Omanovic, Samuele Piccinelli, Javier Robledo Moreno, Abdullah Ash Saki, James Shee
+5 more Soyoung Shin, Minh C. Tran, Kento Ueda, Haimeng Zhang, Mario Motta
Cited by: 1

Abstract

We present ffsim, an open-source software library for fast simulation of fermionic quantum circuits. ffsim exploits conservation of particle number and the z component of spin, symmetries present in a wide range of fermionic systems, to dramatically reduce memory usage and simulation time compared to general-purpose quantum circuit simulators. Compared to FQE, a library with similar functionality, ffsim differs in software design and is faster on a representative set of simulation benchmarks. Beyond state vector evolution by basic fermionic gates, ffsim offers a number of additional features including variational ansatzes, Hamiltonian time evolution via Trotter-Suzuki product formulas, efficient sampling of Slater determinants, seamless integration with Qiskit and PySCF, and comprehensive documentation. We demonstrate ffsim's capabilities on scientific applications involving quantum circuits of up to 64 qubits.

Fields of Study & Subjects

Quantum Computing Algorithms and Architecture Quantum many-body systems Machine Learning in Materials Science

Publication details

Journal / source
arXiv (Cornell University)
Publication date
4 May 2026
Document type
Preprint