🎫Events:
- Qhack 2021 | February 17 – 26th 2021 | The Quantum Machine Learning Hackathon
- 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
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