Experimental loopback boson sampling
Yu. A. Biriukov, R. D. Morozov, K. I. Okhlopkov, I. V. Dyakonov, N. N. Skryabin, S. A. Zhuravitskii, M. A. Dryazgov, K. V. Taratorin, A. A. Korneev, S. P. Kulik, S. S. Straupe M. V. Rakhlin, A. I. Galimov, G. V. Klimko, S. V. Sorokin, I. V. Sedova, M. M. Kulagina, Yu. M. Zadiranov, A. A. Toropov
TL;DR
This work reports an experimental demonstration of loopback boson sampling, where optical feedback lines introduce temporal correlations to boost sampling complexity without adding physical hardware. A $N$-photon, $M$-mode interferometer with $L$ looped outputs yields a total transformation $U_{\text{total}}$, a block-lower-triangular Toeplitz matrix, effectively equating to a conventional boson sampler with $NT$ photons in $(M-L)T+L$ modes. Bayesian validation confirms both quantum interference and the impact of feedback, with an estimated effective Hilbert-space size of about $43$ qubits for $10$-photon events across four iterations. This resource-efficient approach points to scalable demonstrations of quantum advantage with single photons by exploiting temporal degrees of freedom in photonic circuits.
Abstract
We present an experimental demonstration of boson sampling enhanced by optical feedback lines, a novel approach that introduces temporal correlations among photons to amplify computational complexity. We utilize a 25-mode femtosecond laser-written interferometer with five output channels connected to five input channels to create correlations between consecutive photon arrival events. We have reconstructed the unitary matrix of the chip and have conducted Bayesian analysis to validate the sampler and confirm that the system exhibits behavior distinct from standard boson sampling. We also built a theoretical description of the system based on the transformation of annihilation operators and, using it, delivered the structure of the transmission matrix and the complexity of our boson sampler in terms of a conventional boson sampler. This work advances photonic quantum computing by demonstrating a resource-efficient method to increase sampling complexity, paving the way for scalable demonstration of quantum advantage with single photons.
