aiqbench analysis
This research bridges distinct quantum computing paradigms by developing a method to map photonic systems onto qubit-based circuits using truncated Fock space. The authors provide explicit circuit constructions for basic optical operations and release the CO$\Phi$ compiler tool, enabling the simulation of Gaussian Boson Sampling on digital quantum hardware. This work is significant for advancing hybrid architectures and expanding the utility of existing qubit processors to handle photonic algorithms.
CO$\Phi$ - COmpiling PHotonics into dIgital quantum circuits
arXiv:2610.28349v1 Announce Type: new Abstract: Photonic and qubit-based (digital) approaches to quantum computing are largely regarded as separate paradigms. This article aims to bridge these paradigms by developing a method for mapping quantum-optical systems onto qubit-based quantum circuits. The key ingredient enabling this mapping is the introduction of a truncation of the Fock space describing single-mode optical states. Within this framework, representations of basic photonic operations are developed, including the phase-rotation operator, the displacement operator, the squeezing operator, and the beam splitter. Explicit quantum circuit constructions are provided for Fock-space truncations of dimension $N=2$ and $N=4$. We discuss benchmarking of the implemented operations and identify the regime of applicability and the limitations of the proposed method. The presented results can be used to simulate quantum optical circuits on qubit-based quantum computers, with special relevance to Gaussian Boson Sampling in the low-photon-number regime. To demonstrate the practical applicability of this approach, we complement the theoretical framework with a Python-based quantum programming tool CO$\Phi$ that compiles Blackbird quantum-optics programs into qubit-based OpenQASM circuits using a truncated Fock-space encoding. The compiler is available on GitHub at https://github.com/Quantum-Cosmos-Lab/cophi.
Abstract:Photonic and qubit-based (digital) approaches to quantum computing are largely regarded as separate paradigms. This article aims to bridge these paradigms by developing a method for mapping quantum-optical systems onto qubit-based quantum circuits. The key ingredient enabling this mapping is the introduction of a truncation of the Fock space describing single-mode optical states. Within this framework, representations of basic photonic operations are developed, including the phase-rotation operator, the displacement operator, the squeezing operator, and the beam splitter. Explicit quantum circuit constructions are provided for Fock-space truncations of dimension $N=2$ and $N=4$. We discuss benchmarking of the implemented operations and identify the regime of applicability and the limitations of the proposed method. The presented results can be used to simulate quantum optical circuits on qubit-based quantum computers, with special relevance to Gaussian Boson Sampling in the low-photon-number regime. To demonstrate the practical applicability of this approach, we complement the theoretical framework with a Python-based quantum programming tool CO$\Phi$ that compiles Blackbird quantum-optics programs into qubit-based OpenQASM circuits using a truncated Fock-space encoding. The compiler is available on GitHub at this https URL.
arXiv:2610.28349 [quant-ph]
(or arXiv:2610.28349v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.28349 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 272 words
Related coverage

Kp Labs Simulates Photonics on Digital Qubits
Quantum Zeitgeist · Oct 25, 2026
Faster quantum chemistry simulations on a quantum computer with improved tensor factorization and active volume compilation
arXiv · Jul 31, 2026

Quandela’s research earns two ‘Best Paper’ awards at IEEE Quantum Week
Quantum Zeitgeist · Oct 13, 2026

Top Quantum Error Correction Companies 2026: Complete Vendor Guide
Quantum Zeitgeist · May 30, 2026