High-resolution tunable frequency beamsplitter enabled by an integrated silicon pulse shaper
Chen-You Su, Kaiyi Wu, Lucas M. Cohen, Saleha Fatema, Navin B. Lingaraju, Hsuan-Hao Lu, Andrew M. Weiner, Joseph M. Lukens, Jason D. McKinney
TL;DR
This work presents a silicon-on-chip quantum frequency processor that uses a six-channel integrated pulse shaper to realize high-fidelity, tunable frequency-bin beamsplitters with ultrafine spectral spacing down to $2\mathrm{GHz}$. The platform achieves near-ideal Hadamard gate performance, with fidelity $F>0.9995$ and modified success probability $\widetilde{\mathcal{P}}>0.9621$ across spacings from $2$ to $5\ \mathrm{GHz}$ and even with only four spectral channels. By adjusting spectral phase $\alpha$ or modulation index $\theta$, the system supports arbitrary beamsplitter ratios and rapid reconfiguration, enabling densely parallel single-qubit operations and multidimensional gate implementations in the frequency domain. These results demonstrate a scalable, resource-efficient path toward integrated frequency-bin quantum photonics and highlight opportunities for quantum transduction between optical and RF domains, as well as integration with on-chip photonic components to reduce SWaP and improve performance.
Abstract
We demonstrate high-fidelity, tunable, and ultrafine-resolution on-chip frequency beamsplitters using a quantum frequency processor based on an integrated pulse shaper with six spectral channels. Near-ideal Hadamard gate performance is achieved, with fidelity F > 0.9995 and modified success probability P > 0.9621 maintained across frequency spacings from 2-5 GHz and down to as few as four spectral pulse shaper channels. The system's support of frequency spacings as narrow as 2 GHz significantly surpasses prior bulk demonstrations and enables arbitrary splitting ratios via spectral phase or modulation index control. These results establish a scalable and resource-efficient platform for integrated frequency-bin quantum photonics, opening new directions in quantum information processing, including densely parallel single-qubit operations and multidimensional gate implementations.
