Radio-Frequency Hong-Ou-Mandel Interference with Conditionally Built States
A. Sheleg, D. Vovchuk, K. Boiko, P. Ginzburg, G. Slepyan, A. Boag, A. Mikhalychev, A. Ulyanenkov, T. Salgals, P. Kuzhir, D. Mogilevtsev
TL;DR
The paper addresses the challenge of observing quantum interference in radio frequencies by conditioning classical phase-averaged coherent states to emulate a single-photon state. It employs data-pattern tomography to represent the target state as a weighted mixture of phase-averaged coherent probes with coefficients $c_j$, including negative values realized via an ancilla. It demonstrates Hong-Ou-Mandel interference at 120 MHz, yielding dips in the normalized second-order correlation below the classical limit $0.5$, with depth tunable through the representation coefficients. The results validate conditional preparation as a scalable approach for quantum-like phenomena in spectral regions lacking practical quantum light sources and motivate future RF Bell tests and related quantum protocols.
Abstract
We report an experimental demonstration of room-temperature Hong-Ou-Mandel (HOM) interference at a radio-wave frequency of 120 MHz using conditional build-up of quantum states from classical phase-averaged coherent states. This approach enables observation of quantum effects in spectral regimes where conventional single-photon sources and detectors are unavailable or require cryogenic conditions. By constructing a high-fidelity approximation of a single-photon state with phase-averaged coherent states, we observe the normalized second-order intensity correlation dips significantly below the classical limit of 0.5. The method allows for tunable noise suppression via optimization of the state representation. Our results establish the feasibility of using conditionally prepared classical states to simulate quantum interference phenomena in the radio-frequency domain. This technique opens the door to realizing other quantum protocols, such as Bell inequality tests, in frequency ranges where standard quantum technologies are currently infeasible.
