Distributed Quantum Computing with Photons and Atomic Memories

The promise of universal quantum computing requires scalable single- and inter-qubit control interactions. Currently, three of the leading candidate platforms for quantum computing are based on superconducting circuits, trapped ions, and neutral atom arrays. However, these systems have strong interaction with environmental and control noises that introduce decoherence of qubit states and gate operations. Alternatively, photons are well decoupled from the environment and have advantages of speed and timing for quantum computing. Photonic systems have already demonstrated capability for solving specific intractable problems like Boson sampling, but face challenges for practically scalable universal quantum computing solutions because it is extremely difficult for a single photon to talk to another deterministically. Here, a universal distributed quantum computing scheme based on photons and atomic-ensemble-based quantum memories is proposed. Taking the established photonic advantages, two-qubit nonlinear interaction is mediated by converting photonic qubits into quantum memory states and employing Rydberg blockade for the controlled gate operation. Spatial and temporal scalability of this scheme is demonstrated further. These results show photon-atom network hybrid approach can be a potential solution to universal distributed quantum computing.

Automated summary

The promise of universal quantum computing requires scalable control interactions between single or multiple qubits. Current leading candidate platforms for quantum computing, superconducting circuits, trapped ions, and neutral atom arrays, suffer from strong interaction with environmental and control noises resulting in qubit decoherence. Photons, on the other hand, have advantages of being well decoupled from the environment and having high speed and timing capabilities. This article proposes a universal distributed quantum computing scheme based on photons and atomic-ensemble-based quantum memories, showcasing the potential of a photon-atom network hybrid approach.