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Found 6 papers, 4 papers with code
Concentration of Data Encoding in Parameterized Quantum Circuits
This result in particular implies that the average encoded state will concentrate on the maximally mixed state at an exponential speed on depth.
Quantum Self-Attention Neural Networks for Text Classification
An emerging direction of quantum computing is to establish meaningful quantum applications in various fields of artificial intelligence, including natural language processing (NLP).
Optimal quantum dataset for learning a unitary transformation
In this work, we solve the problem on the minimum size of sufficient quantum datasets for learning a unitary transformation exactly, which reveals the power and limitation of quantum data.
Practical distributed quantum information processing with LOCCNet
Here we introduce LOCCNet, a machine learning framework facilitating protocol design and optimization for distributed quantum information processing tasks.
Detecting and quantifying entanglement on near-term quantum devices
Firstly, it decomposes a positive map into a combination of quantum operations implementable on near-term quantum devices.
Quantum Physics Strongly Correlated Electrons
Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
A novel variational algorithm for trace distance estimation is then derived from this technique, with the assistance of a single ancillary qubit.
Quantum Physics Information Theory Mathematical Physics Information Theory Mathematical Physics Optimization and Control
