2 citations · 7 across the 7 of their papers we have counts for
8 papers
Sample Complexity for Generative Learning of Quantum Measurement Data
Shuhan Zhang, Yi-Zhuang You
Generative learning of a quantum measurement distribution from finite data requires choosing a model capacity that balances representation accuracy against estimation cost. We deve…
Quantum Process Realization of LDPC Code Dualities and Product Constructions
Shuhan Zhang, Deepak Aryal, Yi-Zhuang You
We realize a broad class of code transformations, including Kramers-Wannier duality, tensor product, and check product, as quantum processes consisting of ancilla initialization, l…
Designing Shadow Tomography Protocols by Natural Language Processing
Yadong Wu, Pengfei Zhang, Ce Wang +2
Quantum circuits form a foundational framework in quantum science, enabling the description, analysis, and implementation of quantum computations. However, designing efficient circ…
Artificial intelligence for representing and characterizing quantum systems
Yuxuan Du, Yan Zhu, Yuan-Hang Zhang +8
Efficient characterization of large-scale quantum systems, especially those produced by quantum analog simulators and megaquop quantum computers, poses a central challenge in quant…
Contractive Unitary and Classical Shadow Tomography
Yadong Wu, Ce Wang, Juan Yao +3
The rapid development of quantum technology demands efficient characterization of complex quantum many-body states. However, full quantum state tomography requires an exponential n…
Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits
Menghan Song, Zhaoyi Zeng, Ting-Tung Wang +3
We investigate operator dynamics and entanglement growth in dual-unitary circuits, a class of locally scrambled quantum systems that enables efficient simulation beyond the exponen…
Holographic Classical Shadow Tomography
Shuhan Zhang, Xiaozhou Feng, Matteo Ippoliti +1
We introduce "holographic shadows", a new class of randomized measurement schemes for classical shadow tomography that achieves the optimal scaling of sample complexity for learnin…
Dual-unitary shadow tomography
Ahmed A. Akhtar, Namit Anand, Jeffrey Marshall +1
We introduce ``dual-unitary shadow tomography'' (DUST), a classical shadow tomography protocol based on dual-unitary brick-wall circuits. To quantify the performance of DUST, we st…