11 citations · 12 across the 7 of their papers we have counts for
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quant-ph2024
Universal 2-Local Symmetry-Preserving Quantum Neural Networks for Fermionic Systems
Ge Yan, Kaisen Pan, Ruocheng Wang +3
Simulating quantum many-body systems represents a fundamental challenge where classical machine learning methods are severely bottlenecked by the exponential curse of dimensionalit…
quant-ph2024★ 11 cited
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
Ge Yan, Wenjie Wu, Yuheng Chen +6
Quantum computing is a promising paradigm that may overcome the current computational power bottlenecks. The increasing maturity of quantum processors provides more possibilities f…
cs.AR2024★ 1 cited
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling
Wenjie Wu, Yiquan Wang, Ge Yan +3
Quantum computing has gained considerable attention, especially after the arrival of the Noisy Intermediate-Scale Quantum (NISQ) era. Quantum processors and cloud services have bee…