Litcius/Paper detail

Three-dimensional entanglement on a silicon chip

Liangliang Lu, Lijun Xia, Zhiyu Chen, Leizhen Chen, Tonghua Yu, Tao Tao, Wenchao Ma, Ying Pan, Xinlun Cai, Yanqing Lu, Shining Zhu, Xiao-Song Ma

2020npj Quantum Information65 citationsDOIOpen Access PDF

Abstract

Abstract Entanglement is a counterintuitive feature of quantum physics that is at the heart of quantum technology. High-dimensional quantum states offer unique advantages in various quantum information tasks. Integrated photonic chips have recently emerged as a leading platform for the generation, manipulation and detection of entangled photons. Here, we report a silicon photonic chip that uses interferometric resonance-enhanced photon-pair sources, spectral demultiplexers and high-dimensional reconfigurable circuitries to generate, manipulate and analyse path-entangled three-dimensional qutrit states. By minimizing on-chip electrical and thermal cross-talk, we obtain high-quality quantum interference with visibilities above 96.5% and a maximally entangled-qutrit state with a fidelity of 95.5%. We further explore the fundamental properties of entangled qutrits to test quantum nonlocality and contextuality, and to implement quantum simulations of graphs and high-precision optical phase measurements. Our work paves the path for the development of multiphoton high-dimensional quantum technologies.

Topics & Concepts

PhysicsQuantum entanglementPhotonicsQuantum technologyQuantumQuantum sensorQuantum mechanicsQuantum networkQuantum informationQuantum nonlocalityQuantum computerInterferometryQubitQutritQuantum teleportationQuantum channelQuantum metrologyQuantum imagingOptoelectronicsQuantum error correctionQuantum information scienceQuantum stateOpen quantum systemW stateQuantum opticsInterference (communication)Computer scienceString (physics)ChipQuantum simulatorSilicon photonicsOptical pathQuantum cryptographyTopology (electrical circuits)Electronic engineeringQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureNeural Networks and Reservoir Computing