5 citations · 5 across the 4 of their papers we have counts for
4 papers
NeuroQD: A Learning-Based Simulation Framework For Quantum Dot Devices
Shize Che, Junyu Zhou, Seong Woo Oh +6
Electron spin qubits in quantum dot devices are promising for scalable quantum computing. However, architectural support is currently hindered by the lack of realistic and performa…
QTurbo: A Robust and Efficient Compiler for Analog Quantum Simulation
Junyu Zhou, Yuhao Liu, Shize Che +5
Analog quantum simulation leverages native hardware dynamics to emulate complex quantum systems with great efficiency by bypassing the quantum circuit abstraction. However, convent…
Fast Virtual Gate Extraction For Silicon Quantum Dot Devices
Shize Che, Seong W Oh, Haoyun Qin +3
Silicon quantum dot devices stand as promising candidates for large-scale quantum computing due to their extended coherence times, compact size, and recent experimental demonstrati…
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…