📅 Week in Quantum Machine Learning ⚛️

🎫Events:

• Qhack 2021 | February 17 – 26th 2021 | The Quantum Machine Learning Hackathon
  • QHACK twitch stream
• QUSOFT SEMINAR: DAVID SUTTER (IBM ZURICH)The power of quantum neural networks | FEB 19th 2021 from 11:00 to 12:00(Europe/Amsterdam / UTC100)

📰News:

• AWS joins PennyLane, an open-source framework that melds machine learning with quantum computing
• Postdocs Present Research in Exascale, Machine Learning and Quantum Computing at Berkeley Symposium
• IBM Reveals Five Year Quantum Development Roadmap
• The Interplay between Quantum Theory And Artificial Intelligence

👨‍💻Developers:

• Qhack repo released: https://github.com/XanaduAI/QHack
• Qiskit v0.23.6 Release: https://github.com/Qiskit/qiskit/releases/tag/0.23.6
• Pennylane v0.14.1 Release: https://github.com/PennyLaneAI/pennylane/releases/tag/v0.14.1

📗Papers:

• Private learning implies quantum stability Feb 16 2021
• Generalization in Quantum Machine Learning: a Quantum Information Perspective Feb 19 2021
• Universal Adversarial Examples and Perturbations for Quantum Classifiers Feb 17 2021
• Unitary Block Optimization for Variational Quantum Algorithms Feb 18 2021
• Empirical performance bounds for quantum approximate optimization Feb 16 2021
• Evaluating the Performance of Some Local Optimizers for Variational Quantum Classifiers Feb 19 2021
• The Wavefunction of Continuous-Time Recurrent Neural Networks Feb 19 2021
• Machine-learning-assisted electron-spin readout of nitrogen-vacancy center in diamond Feb 18 2021
• Channel-noise tracking for sub-shot-noise-limited receivers with neural networks Feb 16 2021