6 citations · 7 across the 11 of their papers we have counts for
4 papers · 2 filters
Encoding Choices and Fault-Tolerant Resource Estimates for Digital Quantum Hamiltonian Descent
Chenxu Liu, Meng Wang, Mingze Li +3
Quantum Hamiltonian descent (QHD) formulates continuous optimization as time-dependent quantum dynamics, where a kinetic term drives exploration and a potential term encodes the ob…
Quantum Information Harvesting with the Parallel Quantum Flow Algorithm
Nicholas P. Bauman, Ajay Panyala, Chenxu Liu +3
The Quantum Flow (QFlow) algorithm provides a resource-efficient framework for describing correlated many-body systems on hybrid quantum-classical architectures. By enabling parall…
Benchmarking and Resource Analysis for Augmented-Lagrangian Quantum Hamiltonian Descent
Zeguan Wu, Mingze Li, Muqing Zheng +6
Quantum Hamiltonian Descent (QHD) is a continuous optimization algorithm based on simulating a time-dependent quantum Hamiltonian whose potential energy encodes the objective funct…
QASMTrans: An End-to-End QASM Compilation Framework with Pulse Generation for Near-Term Quantum Devices
Aaron Hoyt, Meng Wang, Fei Hua +8
QASMTrans is a lightweight, high-performance, C++-based quantum compiler that bridges abstract quantum algorithms to device-level control and is designed for just-in-time (JIT) dep…