Pages that link to "Item:Q4556858"

The following pages link to Quantum machine learning: a classical perspective (Q4556858):

Displaying 21 items.

• Quantum algorithm design: techniques and applications (Q1730317) (← links)
• Quantum driven machine learning (Q2024911) (← links)
• Blind quantum machine learning based on quantum circuit model (Q2099578) (← links)
• Approximation of quantum control correction scheme using deep neural networks (Q2100739) (← links)
• Quantum error reduction with deep neural network applied at the post-processing stage (Q2107019) (← links)
• The theory of the quantum kernel-based binary classifier (Q2213171) (← links)
• Quantum science and quantum technology (Q2218021) (← links)
• Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices (Q2231907) (← links)
• Tangible reduction in learning sample complexity with large classical samples and small quantum system (Q2679052) (← links)
• A hybrid classical-quantum approach for multi-class classification (Q2687223) (← links)
• Machine learning entanglement freedom (Q4620287) (← links)
• Approximate supervised learning of quantum gates via ancillary qubits (Q4620290) (← links)
• Continuous variable quantum perceptron (Q5219353) (← links)
• Quantum amplitude amplification algorithm simulation for prediction of a binary classification problem (Q6043933) (← links)
• SWAP test for an arbitrary number of quantum states (Q6093077) (← links)
• A multi-classification classifier based on variational quantum computation (Q6149140) (← links)
• Quantum deep neural networks for time series analysis (Q6550843) (← links)
• Enhancing adversarial robustness of quantum neural networks by adding noise layers (Q6559243) (← links)
• An introduction to quantum computing for statisticians and data scientists (Q6620130) (← links)
• Quantum natural language processing on near-term quantum computers (Q6645584) (← links)
• Kernel mean embedding vs kernel density estimation: a quantum perspective (Q6659743) (← links)