Classical bit, which can be either Zero 0 or One 1 in single state at a time moment, a Qubit or Quantum Bit can be Zero 0 and One 1 at same time called as in superposition state. Quantum Computers will use quantum superposition and quantum entanglement are the two basic laws of ...
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. machine-learningsystemdeep-learningneural-networkquantumpytorchquantum-computingquantum-machine-learningquantum-si...
The basic idea of quantum computing is surprisingly similar to that of kernel methods in machine learning, namely to efficiently perform computations in an intractably large Hilbert space. In this paper we explore some theoretical foundations of this link and show how it opens up a new avenue ...
Machine learning for practical quantum error mitigation Quantum error mitigation improves the accuracy of quantum computers at a computational overhead. Liao et al. demonstrate that classical machine learning models can deliver accuracy comparable to that of conventional techniques while reducing quantum co...
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Machine learning for practical quantum error mitigation Quantum error mitigation improves the accuracy of quantum computers at a computational overhead. Liao et al. demonstrate that classical machine learning models can deliver accuracy comparable to that of conventional techniques while reducing quantum co...
Machine learning is a research area of artificial intelligence that enables computers to learn and improve from large datasets without being explicitly programmed. It involves creating algorithms that can analyze patterns in data and generate models for specific tasks, allowing for accurate predictions and...
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. Source: r2d3 Interactive Deep Learning Playground New to Deep Learning? Tinker with a Neural Network in your browser. ...
Several attempts to generalize neurons to the quantum regime have been proposed, but all proposals collided with the difficulty of implementing non-linear activation functions, which is essential for classical neurons, due to the linear nature of quantum mechanics. Here we propose a solution to this...
The field of quantum machine learning explores how to devise and implement quantum software that could enable machine learning that is faster than that of classical computers. Recent work has produced quantum algorithms that could act as the building blocks of machine learning programs, but the ...