Sampling asymmetric open quantum systems for artificial neural networks

Single-photon Quantum Router by Two Distant Artificial Atoms

Nowadays, quantum router is playing a key role in quantum communication and quantum network- s. Here we propose a tunable single-photon routing scheme, based on quantum interference, which uses two distant artificial atoms coupling to two transmission lines. Depending on the distance between the two atoms, the collective effect will lead to destructive or constructive interference between the scattered photons. Under standing wave condition, single photon from the incident channel can be perfectly transmitted or redirected into another channel by asymmetric or symmet- ric reflected phase shift…

Entanglement and complexity of interacting qubits subject to asymmetric noise

The simulation complexity of predicting the time evolution of delocalized many-body quantum systems has attracted much recent interest, and simulations of such systems in real quantum hardware are promising routes to demonstrating a quantum advantage over classical machines. In these proposals, random noise is an obstacle that must be overcome for a faithful simulation, and a single error event can be enough to drive the system to a classically trivial state. We argue that this need not always be the case, and consider a modification to a leading quantum sampling problem-- time evolution in an…

非对称非线性器件中通过量子干涉实现输运互易性的复兴

Revival of transport reciprocity via quantum interference in asymmetric nonlinear devices

该研究针对非对称非线性器件的非互易光输运问题，通过人工原子耦合波导的双光子散射模型，利用量子干涉效应实现输运互易性的调控与复兴。

开放自旋链中的量子输运：基于神经网络量子态方法

Quantum Transport in Open Spin Chains using Neural-Network Quantum States

本文针对非对称开放量子系统，利用受限玻尔兹曼机神经网络量子态，提出优化与采样方法，利用林德布拉德算子对称性，获得高保真稳态近似，并给出与已知结果一致的自旋电流。

Cryptographic One-way Function Based on Boson Sampling

The quest for practical cryptographic primitives that are robust against quantum computers is of vital importance for the field of cryptography. Among the abundance of different cryptographic primitives one may consider, one-way functions stand out as fundamental building blocks of more complex cryptographic protocols, and they play a central role in modern asymmetric cryptography. We propose a mathematical one-way function, which relies on coarse-grained boson sampling. The evaluation and the inversion of the function are discussed in the context of classical and quantum computers. The presen…

混合玻色子采样-神经网络架构用于增强分类

Hybrid boson sampling-neural network architecture for enhanced classification

该研究提出混合玻色子采样-神经网络框架，构建量子核增强支持向量机分类，在四个数据集上优于经典核，展示量子增强机器学习的潜力。