Quantum Brain
← Back to papers

Symbolic Hamiltonian Compiler for Hybrid Qubit-Boson Processors

Ethan Decker, Erik Gustafson, Evan McKinney, A. Jones, Lucas Goetz, Ang Li, A. Schuckert, S. Stein, Gushu Li, Eleanor Crane·May 30, 2025·DOI: 10.1109/QCE65121.2025.00066
Physics

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Quantum simulation of the interactions of fermions and bosons - the fundamental particles of nature - is essential for modeling complex quantum systems in material science, chemistry and high-energy physics and has been proposed as a promising application of fermion-boson quantum computers, which overcome the overhead encountered in mapping fermions and bosons to qubits. However, compiling the simulation of specific fermion-boson Hamiltonians into the natively available fermion-boson gate set is challenging. In particular, the large local dimension of bosons renders matrix-based compilation methods, as used for qubits and in existing tools such as Bosonic Qiskit or OpenFermion, challenging. We overcome this issue by introducing a novel symbolic compiler based on matrix-free symbolic manipulation of second quantised Hamiltonians, which automates the decomposition of fermion-boson second quantized problems into qubit-boson instruction set architectures. This integration establishes a comprehensive pipeline for simulating quantum systems on emerging qubit-boson and fermion-boson hardware, paving the way for their large-scale usage.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.