Symbolic Hamiltonian Compiler for Hybrid Qubit-Boson Processors
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912405480538112 |
|---|---|
| author | Decker, Ethan Gustafson, Erik McKinney, Evan Jones, Alex K. Goetz, Lucas Li, Ang Schuckert, Alexander Stein, Samuel Li, Gushu Crane, Eleanor |
| author_facet | Decker, Ethan Gustafson, Erik McKinney, Evan Jones, Alex K. Goetz, Lucas Li, Ang Schuckert, Alexander Stein, Samuel Li, Gushu Crane, Eleanor |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_00215 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Symbolic Hamiltonian Compiler for Hybrid Qubit-Boson Processors Decker, Ethan Gustafson, Erik McKinney, Evan Jones, Alex K. Goetz, Lucas Li, Ang Schuckert, Alexander Stein, Samuel Li, Gushu Crane, Eleanor Quantum Physics Materials Science Strongly Correlated Electrons 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. |
| title | Symbolic Hamiltonian Compiler for Hybrid Qubit-Boson Processors |
| topic | Quantum Physics Materials Science Strongly Correlated Electrons |
| url | https://arxiv.org/abs/2506.00215 |