Efficient generation of graph states for quantum computation

基于图论的融合图态生成优化

Graph-theoretical optimization of fusion-based graph state generation

提出基于图论的融合图态生成优化策略及Python包，通过简化图态、构建融合网络和确定融合顺序，降低资源开销并提高生成成功率。

Generation of graph-state streams

We propose a protocol to generate a stream of mobile qubits in a graph state through a single stationary parent qubit and discuss two types of its physical implementation, namely, the generation of photonic graph states through an atom-like qubit and those of flying atoms through a cavity-mode photonic qubit. The generated graph states fall into an important class that can hugely reduce the resource requirement of fault-tolerant linear optics quantum computation, which was previously known to be far from realistic. In regard to the flying atoms, we also propose a heralded generation scheme, wh…

Scalable Generation of Graph-State Entanglement through Realistic Linear Optics

We propose a scheme for efficient construction of graph states using realistic linear optics, imperfect photon source and single-photon detectors. For any many-body entanglement represented by tree graph states, we prove that the overall preparation and detection efficiency scales only polynomially with the size of the graph, no matter how small the efficiencies for the photon source and the detectors.

通过局域操作优化确定性光子图态生成

Optimization of deterministic photonic graph state generation via local operations

针对线性光学中确定性光子图态生成缺乏纠缠门的难题，提出基于局域Clifford等价性和图论相关性的优化方法，可大幅减少量子比特门使用量。

使用单个量子发射器和线性光学近确定性混合生成任意光子图态

Near-deterministic hybrid generation of arbitrary photonic graph states using a single quantum emitter and linear optics

针对光子图态制备难题，提出将基于量子发射器的图态生成与全光子融合门结合的近确定性方案，可制备复杂拓扑图态，推动资源高效量子信息处理的实际落地。

考虑成本的光子图状态生成：一种图形框架

Cost-aware Photonic Graph State Generation: A Graphical Framework

提出一种考虑成本的光子图状态生成框架，通过确定性算法显著减少量子门使用，提升光子量子信息处理的可扩展性与效率。