[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
Recent advances for quantum classifiers
Abstract Machine learning has achieved dramatic success in a broad spectrum of
applications. Its interplay with quantum physics may lead to unprecedented perspectives for …
applications. Its interplay with quantum physics may lead to unprecedented perspectives for …
Effect of data encoding on the expressive power of variational quantum-machine-learning models
Quantum computers can be used for supervised learning by treating parametrized quantum
circuits as models that map data inputs to predictions. While a lot of work has been done to …
circuits as models that map data inputs to predictions. While a lot of work has been done to …
Pennylane: Automatic differentiation of hybrid quantum-classical computations
V Bergholm, J Izaac, M Schuld, C Gogolin… - ar** of
hybrid quantum-classical models for classical or quantum data. This framework offers high …
hybrid quantum-classical models for classical or quantum data. This framework offers high …
Tensorcircuit: a quantum software framework for the nisq era
TensorCircuit is an open source quantum circuit simulator based on tensor network
contraction, designed for speed, flexibility and code efficiency. Written purely in Python, and …
contraction, designed for speed, flexibility and code efficiency. Written purely in Python, and …
Reinforcement learning for optimization of variational quantum circuit architectures
M Ostaszewski, LM Trenkwalder… - Advances in …, 2021 - proceedings.neurips.cc
Abstract The study of Variational Quantum Eigensolvers (VQEs) has been in the spotlight in
recent times as they may lead to real-world applications of near-term quantum devices …
recent times as they may lead to real-world applications of near-term quantum devices …
Filtering variational quantum algorithms for combinatorial optimization
Current gate-based quantum computers have the potential to provide a computational
advantage if algorithms use quantum hardware efficiently. To make combinatorial …
advantage if algorithms use quantum hardware efficiently. To make combinatorial …