9 citations · 10 across the 3 of their papers we have counts for
3 papers
Circumventing Traps in Analog Quantum Machine Learning Algorithms Through Co-Design
Rodrigo Araiza Bravo, Jorge Garcia Ponce, Hong-ye Hu +1
Quantum machine learning QML algorithms promise to deliver near-term, applicable quantum computation on noisy, intermediate-scale systems. While most of these algorithms leverage q…
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao +50
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite t…
Measurement-Induced Criticality is Tomographically Optimal
Ahmed A. Akhtar, Hong-Ye Hu, Yi-Zhuang You
We develop a classical shadow tomography protocol utilizing the randomized measurement scheme based on hybrid quantum circuits, which consist of layers of two-qubit random unitary…