Quantum circuit compilation with quantum computers
Compilation optimizes quantum algorithms’ performances on real-world quantum computers. To date, it is performed via classical optimization strategies. We introduce a class of quantum algorithms to perform compilation via quantum computers, paving the way for a quantum advantage in compilation. We demonstrate the effectiveness of this approach via quantum and simulated annealing-based compilation: We successfully compile a Trotterized Hamiltonian simulation with up to 64 qubits and 64 time steps and a quantum Fourier transform with up to 40 qubits and 771 time steps. We show that, for a translationally invariant circuit, the compilation results in a fidelity gain that grows extensively in the size of the input circuit, outperforming any local or quasilocal compilation approach.
Authors
- Simone Montangero (ORCID: https://orcid.org/0000-0002-8882-2169)
- Davide Rattacaso (ORCID: https://orcid.org/0000-0001-8219-5806)
- Ilaria Siloi (ORCID: https://orcid.org/0000-0002-3806-2034)
- Marco Ballarin (ORCID: https://orcid.org/0000-0002-3215-3453)
- Daniel Jaschke (ORCID: https://orcid.org/0000-0001-7658-3546)
Institutions
- University of Padua (IT)
- Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT)
Publication Details
- Journal
- Physical Review Research
- Published
- 2025-08-20
- DOI
- https://doi.org/10.1103/hcz4-nv2y
- Citations
- 1
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 2.48