8 citations · 13 across the 3 of their papers we have counts for
12 papers · 1 filter
Near-optimal quantum metrology with few-qubit measurements
Liang Mao, Senrui Chen, Hsin-Yuan Huang +2
Quantum metrology, which addresses parameter estimation in quantum systems, has broad applications across science and technology. Conventional metrology protocols for multi-qubit s…
Efficient learning of logical noise from syndrome data
Han Zheng, Chia-Tung Chu, Senrui Chen +4
Characterizing errors in quantum circuits is essential for device calibration, yet detecting rare error events requires a large number of samples. This challenge is particularly se…
Quantum learning advantage on a scalable photonic platform
Zheng-Hao Liu, Romain Brunel, Emil E. B. Østergaard +12
Recent advancements in quantum technologies have opened new horizons for exploring the physical world in ways once deemed impossible. Central to these breakthroughs is the concept…
Advancing quantum imaging through learning theory
Yunkai Wang, Changhun Oh, Junyu Liu +2
We study quantum imaging by applying the resolvable expressive capacity (REC) formalism developed for physical neural networks (PNNs). In this paradigm of quantum learning, the ima…
Unboxing Quantum Black Box Models: Learning Non-Markovian Dynamics
Stefan Krastanov, Kade Head-Marsden, Sisi Zhou +3
Characterizing the memory properties of the environment has become critical for the high-fidelity control of qubits and other advanced quantum systems. However, current non-Markovi…
Asymptotic theory of quantum channel estimation
Sisi Zhou, Liang Jiang
The quantum Fisher information (QFI), as a function of quantum states, measures the amount of information that a quantum state carries about an unknown parameter. The (entanglement…