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Quantum Machine Learning

15 papers with code · Methodology

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Latest papers with code

Variational quantum Gibbs state preparation with a truncated Taylor series

18 May 2020PaddlePaddle/Quantum

By performing numerical experiments, we show that shallow parameterized circuits with only one additional qubit can be trained to prepare the Ising chain and spin chain Gibbs states with a fidelity higher than 95%.

QUANTUM MACHINE LEARNING

209
18 May 2020

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

6 Mar 2020tensorflow/quantum

We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data.

META-LEARNING QUANTUM APPROXIMATE OPTIMIZATION

935
06 Mar 2020

Transfer learning in hybrid classical-quantum neural networks

17 Dec 2019XanaduAI/quantum-transfer-learning

We extend the concept of transfer learning, widely applied in modern machine learning algorithms, to the emerging context of hybrid neural networks composed of classical and quantum elements.

QUANTUM MACHINE LEARNING TRANSFER LEARNING

13
17 Dec 2019

Quantum Wasserstein Generative Adversarial Networks

NeurIPS 2019 yiminghwang/qWGAN

The study of quantum generative models is well-motivated, not only because of its importance in quantum machine learning and quantum chemistry but also because of the perspective of its implementation on near-term quantum machines.

QUANTUM MACHINE LEARNING

18
01 Dec 2019

q-means: A quantum algorithm for unsupervised machine learning

NeurIPS 2019 JonasLandman/quantum_kmeans_NeurIPS_2019

Along with the algorithm, the theorems and tools introduced in this paper can be reused for various applications in quantum machine learning.

QUANTUM MACHINE LEARNING

0
01 Dec 2019

Quantum Wasserstein Generative Adversarial Networks

NeurIPS 2019 yiminghwang/qWGAN

The study of quantum generative models is well-motivated, not only because of its importance in quantum machine learning and quantum chemistry but also because of the perspective of its implementation on near-term quantum machines.

QUANTUM MACHINE LEARNING

18
31 Oct 2019

Quantum Natural Gradient

4 Sep 2019XanaduAI/qml

A quantum generalization of Natural Gradient Descent is presented as part of a general-purpose optimization framework for variational quantum circuits.

QUANTUM MACHINE LEARNING

78
04 Sep 2019

Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning

8 Jul 2019glivan/tensor_networks_for_probabilistic_modeling

Inspired by these developments, and the natural correspondence between tensor networks and probabilistic graphical models, we provide a rigorous analysis of the expressive power of various tensor-network factorizations of discrete multivariate probability distributions.

QUANTUM MACHINE LEARNING TENSOR NETWORKS

18
08 Jul 2019

Variational Quantum Circuits for Deep Reinforcement Learning

30 Jun 2019ycchen1989/Var-QuantumCircuits-DeepRL

The state-of-the-art Machine learning approaches are based on classical Von-Neumann computing architectures and have been widely used in many industrial and academic domains.

QUANTUM MACHINE LEARNING

8
30 Jun 2019

q-means: A quantum algorithm for unsupervised machine learning

NeurIPS 2019 Morcu/q-means

For a natural notion of well-clusterable datasets, the running time becomes $\widetilde{O}\left( k^2 d \frac{\eta^{2. 5}}{\delta^3} + k^{2. 5} \frac{\eta^2}{\delta^3} \right)$ per iteration, which is linear in the number of features $d$, and polynomial in the rank $k$, the maximum square norm $\eta$ and the error parameter $\delta$.

QUANTUM MACHINE LEARNING

4
10 Dec 2018