PennyLane: Automatic differentiation of hybrid quantum-classical computations

12 Nov 20187 code implementations

PennyLane is a Python 3 software framework for optimization and machine learning of quantum and hybrid quantum-classical computations.

QUANTUM MACHINE LEARNING

Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation

16 Oct 20181 code implementation

Topological error correcting codes, and particularly the surface code, currently provide the most feasible roadmap towards large-scale fault-tolerant quantum computation.

Image Processing in Quantum Computers

28 Dec 20181 code implementation

Quantum Image Processing (QIP)is an exciting new field showing a lot of promise as a powerful addition to the arsenal of Image Processing techniques.

Quantum Neuron: an elementary building block for machine learning on quantum computers

30 Nov 20171 code implementation

In the construction of feedforward networks of quantum neurons, we provide numerical evidence that the network not only can learn a function when trained with superposition of inputs and the corresponding output, but that this training suffices to learn the function on all individual inputs separately.

QUANTUM MACHINE LEARNING

Continuous-variable quantum neural networks

18 Jun 20184 code implementations

The quantum neural network is a variational quantum circuit built in the continuous-variable (CV) architecture, which encodes quantum information in continuous degrees of freedom such as the amplitudes of the electromagnetic field.

FRAUD DETECTION QUANTUM MACHINE LEARNING

Church: a language for generative models

13 Jun 20121 code implementation

We introduce Church, a universal language for describing stochastic generative processes.

Deep Residual Learning for Image Recognition

CVPR 2016 189 code implementations

Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

IMAGE CLASSIFICATION OBJECT DETECTION SEMANTIC SEGMENTATION

Private Machine Learning in TensorFlow using Secure Computation

18 Oct 20182 code implementations

We present a framework for experimenting with secure multi-party computation directly in TensorFlow.

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks

3 May 20193 code implementations

TensorNetwork is an open source library for implementing tensor network algorithms in TensorFlow.

TENSOR NETWORKS

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

6 Mar 20201 code implementation

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 MACHINE LEARNING