Wave-particle duality in orbital angular momentum based quantum delayed-choice experiment using diffractive neural networks
Dawei Lyu, Qianke Wang, Jun Liu, Jian Wang
Abstract
Abstract Wave-particle duality is a foundational yet counterintuitive feature of quantum mechanics, typically demonstrated via delayed-choice and quantum delayed-choice (QDC) experi ments. Photon-based implementations commonly rely on polarization or path degrees of freedom (DoFs), but these approaches present limitations: polarization is restricted to two dimensions, and the path-based schemes, while scalable, face increasing challenges in opti cal complexity and interferometric stability as the dimensionality grows. Here, we present a scalable QDC scheme leveraging the orbital angular momentum (OAM) of photons that overcomes these limitations. Instead of directly encoding paths in OAM states, we encode qubits in subsystems of the OAM DoF—specifically, its signs and amplitudes—and real ize a controlled-Hadamard (CH) gate with 98.73±0.02% fidelity on these qubits using a diffractive neural network. This allows us to demonstrate the QDC experiment within the OAM subsystems, achieving interference transitions between wave-like and particle like behaviors, with fidelities exceeding 99%. Our results show that wave-particle duality extends beyond intrinsic DoFs to qubits encoded in internal substructures of those DoFs, offering a broader perspective on the fundamental nature of quantum behavior.