Hybrid boson sampling
V. V. Kocharovsky

TL;DR
This paper introduces a hybrid boson sampling approach using coupled photons and Bose-Einstein condensates in a multi-mode cavity, demonstrating a quantum advantage potential by sampling from a #P-hard distribution.
Contribution
It proposes a novel hybrid boson sampling system combining cavity-QED and quantum-gas technologies, enabling complex quantum sampling beyond classical capabilities.
Findings
Joint probability distribution involves a hafnian of an extended covariance matrix.
Sampling statistics are #P-hard to compute even for photon-only sampling.
Hybrid system can potentially surpass limitations of separate photon or atom sampling schemes.
Abstract
We propose boson sampling from a system of coupled photons and Bose-Einstein condensed atoms placed inside a multi-mode cavity as a simulation process testing quantum advantage of quantum systems over classical computers. Consider a two-level atomic transition far-detuned from photon frequency. An atom-photon scattering and interatomic collisions provide interaction creating quasiparticles and exciting atoms, photons into squeezed entangled states orthogonal, respectively, to the atomic condensate and classical field driving the two-level transition. We find a joint probability distribution of atom and photon numbers within a quasi-equilibrium model via a hafnian of an extended covariance matrix. It shows a sampling statistics that is #P-hard for computing even if only photon numbers are sampled. Merging cavity-QED and quantum-gas technologies into hybrid boson sampling setup has the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAtomic and Subatomic Physics Research · Particle physics theoretical and experimental studies · High-Energy Particle Collisions Research
