Quantum Computational Complexity with Photons and Linear Optics
Jian-Wei Pan ()
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Jian-Wei Pan: University of Science and Technology of China, Chinese Academy of Sciences (CAS) Center for Excellence in Quantum Information and Quantum Physics
Chapter Chapter 6 in Dialogues Between Physics and Mathematics, 2022, pp 147-164 from Springer
Abstract:
Abstract On this wonderful occasion to celebrate Professor Yang Chen Ning’s 100th birthday, we are deeply honored to contribute a chapter on our recent study on the demonstration of quantum computational advantage, which is a dialogue among mathematics, computational complexity, and quantum optics. The concept of quantum computational advantage denotes a milestone that a quantum device can solve a specific mathematical problem that no classical computer can solve within a reasonable amount of time. Just like using the Bell experiments to refute Einstein’s local hidden variable model and establish the quantum entanglement as a valuable resource with strong-than-classical correlation, quantum computational advantage experiments provide evidences to refute the Extended Church-Turing thesis and prove the potential of faster-than-classical computation using quantum mechanics, a widely believed but unproven conjecture proposed by Richard Feynman about forty years ago. The first feasible proposal to demonstrate the quantum computational advantage is boson sampling based on multi-photon interference, where non-classical light is injected into a linear optical network, and the output highly random, photon-number- and path-entangled state is measured by single-photon detectors. We perform experiments which have produced up to 113 photon detection events out of a 144-mode photonic circuit. These rudimentary photonic quantum computers, Jiuzhang, yield an output state space dimension of 1043 and a sampling rate that is 1010 faster than using the state-of-the-art simulation strategy and supercomputers.
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-17523-7_6
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DOI: 10.1007/978-3-031-17523-7_6
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