Guang Hao Low

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Singular Vectors

Bayesian Network Inference

Top Venues

SIAM J. Comput.

Publications

Guang Hao Low, Yuan Su
Quantum eigenvalue processing. CoRR (2024)
Jeongwan Haah, Matthew B. Hastings, Robin Kothari, Guang Hao Low
Quantum Algorithm for Simulating Real Time Evolution of Lattice Hamiltonians. SIAM J. Comput. 52 (6) (2023)
Bo Peng, Yuan Su, Daniel Claudino, Karol Kowalski, Guang Hao Low, Martin Roetteler
Quantum Simulation of Boson-Related Hamiltonians: Techniques, Effective Hamiltonian Construction, and Error Analysis. CoRR (2023)
Guang Hao Low, Yuan Su, Yu Tong, Minh C. Tran
On the complexity of implementing Trotter steps. CoRR (2022)
Dong An, Di Fang, Stephen Jordan, Jin-Peng Liu, Guang Hao Low, Jiasu Wang
Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation. CoRR (2022)
Michael E. Beverland, Prakash Murali, Matthias Troyer, Krysta M. Svore, Torsten Hoefler, Vadym Kliuchnikov, Guang Hao Low, Mathias Soeken, Aarthi Sundaram, Alexander Vaschillo
Assessing requirements to scale to practical quantum advantage. CoRR (2022)
Duo Song, Nicholas P. Bauman, Guen Prawiroatmodjo, Bo Peng, Cassandra Granade, Kevin M. Rosso, Guang Hao Low, Martin Roetteler, Karol Kowalski, Eric J. Bylaska
Periodic Plane-Wave Electronic Structure Calculations on Quantum Computers. CoRR (2022)
Vera von Burg, Guang Hao Low, Thomas Häner, Damian S. Steiger, Markus Reiher, Martin Roetteler, Matthias Troyer
Quantum computing enhanced computational catalysis. CoRR (2020)
András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. STOC (2019)
Guang Hao Low
Hamiltonian simulation with nearly optimal dependence on spectral norm. STOC (2019)
Guang Hao Low, Nicholas P. Bauman, Christopher E. Granade, Bo Peng, Nathan Wiebe, Eric J. Bylaska, Dave Wecker, Sriram Krishnamoorthy, Martin Roetteler, Karol Kowalski, Matthias Troyer, Nathan A. Baker
Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers. CoRR (2019)
Jeongwan Haah, Matthew B. Hastings, Robin Kothari, Guang Hao Low
Quantum Algorithm for Simulating Real Time Evolution of Lattice Hamiltonians. FOCS (2018)
András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics. CoRR (2018)
Guang Hao Low, Theodore J. Yoder, Isaac L. Chuang
Quantum Inference on Bayesian Networks. CoRR (2014)