Sergio Boixo
Artificial Intelligence · 2010–2024
A researcher in the Science corpus: 19 papers; trusts 14 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 328 citations into it; #9,890 of 35,345 by trust here, #1,857 by citations
- Atomic and Molecular Physics, and Optics — 223 citations into it; #4,340 of 7,135 by trust here, #469 by citations
- Computational Theory and Mathematics — 75 citations into it
- Electronic, Optical and Magnetic Materials — 5 citations into it
Whom Sergio Boixo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vicky Siu-Ngan Choi
- Edward Farhi
- Geoffrey E. Hinton
- G. Santoro
- Yoshua Bengio
- Julius Orion Smith III
- Yann LeCun
- Kaiming He
- Franz Rendl
- Jeffrey Goldstone
Who trusts Sergio Boixo overall
- Tameem Albash
- Göran Wendin
- Daniel A. Lidar
- Nicholas Hunter-Jones
- Ryan Babbush
- M. Cerezo
- Fred W. Glover
- Maria Schuld
- Leo Zhou
- Xiao Yuan
Papers from Sergio Boixo's perspective
Ordered by how strongly the researchers Sergio Boixo trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Quantum approximate optimization of non-planar graph problems on a planar superconducting processor (2020) — 622 citations
- Defining and detecting quantum speedup (2014) — 626 citations
- Suppressing quantum errors by scaling a surface code logical qubit (2022) — 1,354 citations
- Universal quantum control through deep reinforcement learning (2018) — 394 citations
- Exponential suppression of bit or phase errors with cyclic error correction (2021) — 443 citations
- Quantum error correction below the surface code threshold (2024) — 1,230 citations
- Hartree-Fock on a superconducting qubit quantum computer (2020) — 849 citations
- Power of data in quantum machine learning (2020) — 1,021 citations
- Observation of separated dynamics of charge and spin in the Fermi-Hubbard model (2020) — 165 citations
- Quantum supremacy using a programmable superconducting processor (2019) — 7,893 citations
- Barren plateaus in quantum neural network training landscapes (2018) — 2,812 citations
- A blueprint for demonstrating quantum supremacy with superconducting qubits (2017) — 489 citations
- Quantum algorithms to simulate many-body physics of correlated fermions. (2017) — 183 citations
- Characterizing quantum supremacy in near-term devices (2016) — 1,354 citations
- What is the Computational Value of Finite Range Tunneling (2015) — 427 citations
- Entanglement in a Quantum Annealing Processor (2014) — 328 citations
- Evidence for quantum annealing with more than one hundred qubits (2013) — 779 citations
- Quantum adiabatic Markovian master equations (2012) — 266 citations
- Operational interpretations of quantum discord (2010) — 290 citations