5 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
HATT: Hamiltonian Adaptive Ternary Tree for Optimizing Fermion-to-Qubit Mapping
Yuhao Liu, Kevin Yao, Jonathan Hong +5
This paper introduces the Hamiltonian-Adaptive Ternary Tree (HATT) framework to compile optimized Fermion-to-qubit mapping for specific Fermionic Hamiltonians. In the simulation of…
MarQSim: Reconciling Determinism and Randomness in Compiler Optimization for Quantum Simulation
Xiuqi Cao, Junyu Zhou, Yuhao Liu +2
Quantum simulation, fundamental in quantum algorithm design, extends far beyond its foundational roots, powering diverse quantum computing applications. However, optimizing the com…
Fermihedral: On the Optimal Compilation for Fermion-to-Qubit Encoding
Yuhao Liu, Shize Che, Junyu Zhou +2
This paper introduces Fermihedral, a compiler framework focusing on discovering the optimal Fermion-to-qubit encoding for targeted Fermionic Hamiltonians. Fermion-to-qubit encoding…
Élivágar: Efficient Quantum Circuit Search for Classification
Sashwat Anagolum, Narges Alavisamani, Poulami Das +3
Designing performant and noise-robust circuits for Quantum Machine Learning (QML) is challenging -- the design space scales exponentially with circuit size, and there are few well-…