Frederic T. Chong

Artificial Intelligence · 2004–2021

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it; #20,581 of 35,345 by trust here, #18,586 by citations
• Atomic and Molecular Physics, and Optics — 23 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Electrical and Electronic Engineering — 9 citations into it

Whom Frederic T. Chong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David A. Patterson
2. Crispin Cowan
3. John L. Hennessy

Who trusts Frederic T. Chong overall

1. Paolo Milani Comparetti
2. Dawn Song
3. Manuel Costa
4. Heng Yin

Papers from Frederic T. Chong's perspective

Ordered by how strongly the researchers Frederic T. Chong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Quantum Computing in the NISQ era and beyond (Quantum)
2. A Quantum Approximate Optimization Algorithm
3. The theory of variational hybrid quantum-classical algorithms
4. Supervised learning with quantum-enhanced feature spaces (Nature)
5. Scalable Quantum Simulation of Molecular Energies
6. Quantum algorithm for linear systems of equations. (Physical Review Letters)
7. A Practical Quantum Instruction Set Architecture (arXiv.org)
8. Quantum supremacy using a programmable superconducting processor (Nature)
9. An Introduction to Quantum Error Correction and Fault-Tolerant Quantum Computation
10. Efficient Variational Quantum Simulator Incorporating Active Error Minimization

Their papers

• QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits (2021) — 295 citations
• Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers (2019) — 495 citations
• Minos: Control Data Attack Prevention Orthogonal to Memory Model (2004) — 379 citations