📅 This Week in Quantum Machine Learning ⚛️

🎫Events:

• Quantum Education – Workforce Development: A New Approach to Quantum Machine Learning | April 28th
•  Bristol Quantum Information Technologies Workshop (BQIT) 2021 | April 26-28, 2021

📰News:

• Cambridge Quantum pushes into NLP and quantum computing with new head of AI
• Combining light, superconductors could boost AI capabilities
• IS THE MOON THERE IF NO ONE LOOKS? OR IS THERE NO “THERE” THERE?

📽Videos:

• Quantum Machine Learning – Hannover Messe 2021
• Data Science on AWS Meetup: Learning Quantum Computing and Pruning Deep Learning Models to Save Cost
• Torsten Zache: Quantum Variational Entanglement Hamiltonian Learning
• Active Learning in Quantum Mechanics – Tom Giblin

👨‍💻Developers:

• New Repo to watch: Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning https://github.com/qdevpsi3/qrl-dqn-gym
• Qiskit release: Qiskit 0.25.2
• PennyLane: Release 0.15.0

📗Papers:

• Fast Tensor Disentangling Algorithm
• An efficient measure for the expressivity of variational quantum algorithms
• Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale
• Quantum Architecture Search via Deep Reinforcement Learning
• Robust quantum classifier with minimal overhead
• Higgs analysis with quantum classifiers
• Learning Neural Network Quantum States with the Linear Method
• Modeling the Nervous System as An Open Quantum System
• Scaling of neural-network quantum states for time evolution