Understanding Adversarially Robust Quantum State Learning And Testing
Let's dive into the details surrounding Adversarially Robust Quantum State Learning And Testing. Authors: M. Aliakbarpour, V. Braverman, N. Chia, Y. Liu FOCS 2025 - session 4C.
Key Takeaways about Adversarially Robust Quantum State Learning And Testing
- Talk video for HPCA 2022 paper: "QuantumNAS: Noise-Adaptive Search for
- Errors occurring on noisy hardware pose a key challenge to
- "We introduce a simple two-player
- Speaker: Hong-Ye Hu (Harvard University) Date: August 28, 2024 10th International Conference on
- How do scientists measure something they can't even see? In
Detailed Analysis of Adversarially Robust Quantum State Learning And Testing
Speaker: Yuhan Liu Description: The EnCORE Workshop: New Horizons for Adaptive Fast and Current commercial
Superposition—the idea that particles such as electrons or photons can exist in multiple
That wraps up our extensive overview of Adversarially Robust Quantum State Learning And Testing.
