دورية أكاديمية

Quantum computational advantage via high dimensional Gaussian boson sampling

التفاصيل البيبلوغرافية
العنوان: Quantum computational advantage via high dimensional Gaussian boson sampling
المؤلفون: Deshpande, A., Mehta, A., Vincent, T., Quesada, N., Hinsche, M., Ioannou, M., Madsen, L., Lavoie, J., Qi, H., Eisert, J., Hangleiter, D., Fefferman, B., Dhand, I.
سنة النشر: 2022
المجموعة: Helmholtz Zentrum Berlin (HZB): Publications
مصطلحات موضوعية: quantum computational advantage QCA, photonics, Gaussian boson sampling GBS
الوصف: Photonics is a promising platform for demonstrating a quantum computational advantage QCA by outperforming the most powerful classical supercomputers on a well defined computational task. Despite this promise, existing proposals and demonstrations face challenges. Experimentally, current implementations of Gaussian boson sampling GBS lack programmability or have prohibitive loss rates. Theoretically, there is a comparative lack of rigorous evidence for the classical hardness of GBS. In this work, we make progress in improving both the theoretical evidence and experimental prospects. We provide evidence for the hardness of GBS, comparable to the strongest theoretical proposals for QCA. We also propose a QCA architecture we call high dimensional GBS, which is programmable and can be implemented with low loss using few optical components. We show that particular algorithms for simulating GBS are outperformed by high dimensional GBS experiments at modest system sizes. This work thus opens the path to demonstrating QCA with programmable photonic processors
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: unknown
العلاقة: http://www.helmholtz-berlin.de/pubbin/oai_publication?VT=1&ID=109165Test
الإتاحة: https://doi.org/10.1126/sciadv.abi7894Test
http://www.helmholtz-berlin.de/pubbin/oai_publication?VT=1&ID=109165Test
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.81EEC71E
قاعدة البيانات: BASE