Y. Nam
Artificial Intelligence · npj Quantum Information · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it; #34,171 of 35,345 by trust here, #12,387 by citations
- Atomic and Molecular Physics, and Optics — 52 citations into it; #6,621 of 7,135 by trust here, #3,591 by citations
- Computational Theory and Mathematics — 19 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Y. Nam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew Amy
- Yazhen Wang
- Dominic W. Berry
- Neil J. Ross
- Guang Hao Low
- Dmitri Maslov
- Alexander S. Green
- Shantanu Debnath
- Michele Mosca
- Graeme Ahokas
Who trusts Y. Nam overall
Papers from Y. Nam's perspective
Ordered by how strongly the researchers Y. Nam trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Computation and Quantum Information
- Universal quantum computation with ideal Clifford gates and noisy ancillas (14 pages)
- Efficient Quantum Algorithms for Simulating Sparse Hamiltonians
- A Meet-in-the-Middle Algorithm for Fast Synthesis of Depth-Optimal Quantum Circuits (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems)
- Exponential improvement in precision for simulating sparse Hamiltonians (Forum of Mathematics, Sigma)
- Optimal Hamiltonian Simulation by Quantum Signal Processing. (Physical Review Letters)
- Hamiltonian Simulation by Qubitization (Quantum)
- Hamiltonian Simulation with Nearly Optimal Dependence on all Parameters (IEEE Annual Symposium on Foundations of Computer Science)
- Scalable Quantum Simulation of Molecular Energies
- Simulating Hamiltonian dynamics with a truncated Taylor series. (Physical Review Letters)
Their papers
- Automated optimization of large quantum circuits with continuous parameters (2017) — 311 citations
- Benchmarking an 11-qubit quantum computer (2019) — 554 citations
- A generative modeling approach for benchmarking and training shallow quantum circuits (2018) — 414 citations
- Toward the first quantum simulation with quantum speedup (2017) — 617 citations