B. Mitchell
Artificial Intelligence · with Huggins · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
Whom B. Mitchell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from B. Mitchell's perspective
Ordered by how strongly the researchers B. Mitchell trusts endorse each paper. Same corpus, a different order for every researcher.
- A Quantum Approximate Optimization Algorithm
- Barren plateaus in quantum neural network training landscapes (Nature Communications)
- Quantum circuit learning (Physical Review A)
- Quantum Machine Learning in Feature Hilbert Spaces. (Physical Review Letters)
- Supervised Learning with Tensor Networks (Neural Information Processing Systems)
- Characterizing quantum supremacy in near-term devices (Nature Physics)
- Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems
- A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States
- Unsupervised Generative Modeling Using Matrix Product States (Physical Review X)
- Thermodynamic limit of density matrix renormalization.
Their papers
- Towards quantum machine learning with tensor networks (2018) — 410 citations