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// Xanadu Research

We want quantum computers to be useful

Our research aims to identify key ideas and translate them into tools that anyone can access.

We want quantum computers to be useful

// Focus

Xanadu Research focuses on three domains

Photonic architectures

Quantum programming

Quantum algorithms

Publications

Predicting Properties of Quantum Systems with Conditional Generative Models

Implicit differentiation of variational quantum algorithms

Generating Approximate Ground States of Molecules Using Quantum Machine Learning

Simulating key properties of lithium-ion batteries with a fault-tolerant quantum computer

A practical overview of image classification with variational tensor-network quantum circuits

Generalization despite overfitting in quantum machine learning models

Fast quantum circuit cutting with randomized measurements

Tailgating quantum circuits for high-order energy derivatives

Quantum computational advantage with a programmable photonic processor

Variational Quantum Optimization of Nonlocality in Noisy Quantum Networks

Is quantum advantage the right goal for quantum machine learning?

Quantum computing with differentiable quantum transforms