5 citations · 9 across the 5 of their papers we have counts for
5 papers
Resource-Efficient Bio-Molecular Docking on a NISQ-era Digital Quantum Computer
Tianqi Chen, Adrian M. Mak, Jianguo Li +3
Molecular docking is a vital computational task in drug discovery, wherein the objective is to efficiently identify optimal binding poses between a ligand and a target receptor pro…
Designing a Machine Learning-Driven, Cross-Hardware Emulator for Noisy Quantum Computers with Gate-Based Protocols
Matthew Ho, Jun Yong Khoo, Adrian M. Mak +1
Quantum computer emulators model the behavior and error rates of specific quantum processors. Without accurate noise models in these emulators, it is challenging for users to optim…
Resource-Efficient Hybrid Quantum-Classical Simulation Algorithm
Chong Hian Chee, Daniel Leykam, Adrian M. Mak +2
Digital quantum computers promise exponential speedups in performing quantum time-evolution, providing an opportunity to simulate quantum dynamics of complex systems in physics and…
Shallow quantum circuits for efficient preparation of Slater determinants and correlated states on a quantum computer
Chong Hian Chee, Daniel Leykam, Adrian M. Mak +1
Fermionic ansatz state preparation is a critical subroutine in many quantum algorithms such as Variational Quantum Eigensolver for quantum chemistry and condensed matter applicatio…
Computing Electronic Correlation Energies using Linear Depth Quantum Circuits
Chong Hian Chee, Adrian M. Mak, Daniel Leykam +2
Efficient computation of molecular energies is an exciting application of quantum computing for quantum chemistry, but current noisy intermediate-scale quantum (NISQ) devices can o…