activity
20192026
most citedRobust shadow estimation

146 citations · 420 across the 26 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

quant-ph2026

Exponential separation in sensing continuous signals via squeezing

Francesco Anna Mele, Nadine Meister, Haimeng Zhao +2

Quantum sensing traditionally focuses on using quantum resources such as squeezing and entanglement to improve precision for sensing fixed signals. However, in many applications su…

quant-ph2026

When are bosonic Gaussian states classical to learn?

Senrui Chen, Antonio Anna Mele, Francesco Anna Mele +1

A fundamental question in physics is: When does classical behavior emerge from quantum systems? Bosonic Gaussian states provide a natural setting to explore this quantum-classical…

quant-ph2026

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…

quant-ph2026

Optimal tomography of bosonic and fermionic Gaussian states

Senrui Chen, Marco Fanizza, Filippo Girardi +4

The sample complexity is the minimum number of copies required to learn an accurate classical description of a quantum state. Bosonic and fermionic Gaussian quantum states are fami…

quant-ph2026

Learning Midcircuit Measurement Backaction from Three Repeated Measurements

Chia-Tung Chu, Su-un Lee, Han Zheng +4

Accurate modeling of midcircuit measurements (MCMs) is essential for dynamic-circuit operations such as syndrome extraction, measurement-based reset, and the separation of state-pr…

quant-ph2026

What resources are needed for optimal learning of bosonic Gaussian states?

Senrui Chen, Francesco Anna Mele, Marco Fanizza +5

Continuous-variable systems enable key quantum technologies in computation, communication, and sensing. Bosonic Gaussian states emerge naturally in various such applications, inclu…