Thirty years after it was first proposed, quantum teleportation remains one of the most
important protocols in quantum information and quantum technologies, enabling the …

Quantum computers are next-generation devices that hold promise to perform calculations
beyond the reach of classical computers. A leading method towards achieving this goal is …

In the modern financial industry system, the structure of products has become more and
more complex, and the bottleneck constraint of classical computing power has already …

Generalization is the ability of machine learning models to make accurate predictions on
new data by learning from training data. However, understanding generalization of quantum …

Quantum ghost imaging offers many advantages over classical imaging, including the ability
to probe an object with one wavelength and record the image with another, while low photon …

Quantum autoencoders serve as efficient means for quantum data compression. Here, we
propose and demonstrate their use to reduce resource costs for quantum teleportation of …

Silicon photonics enables the construction of chip-scale spectrometers, in which those using
a single tunable interferometer provide a simple and cost-effective solution. Among various …

We design a quantum method for classical information compression that exploits the hidden
subgroup quantum algorithm. We consider sequence data in a database with a priori …

Generalization is the ability of quantum machine learning models to make accurate
predictions on new data by learning from training data. Here, we introduce the data quantum …

Quantum circuits of a general quantum gate acting on multiple dd‐level quantum systems
play a prominent role in multi‐valued quantum computation. A recursive Cartan …