activity
20232026
most citedEntanglement-enabled advantage for learning a bosonic random displacement channel

17 citations · 47 across the 10 of their papers we have counts for

collaborators

10 papers

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

High-rate qLDPC processors

Aditya Bhardwaj, Muzhou Ma, Nadine Meister +6

Despite significant progress on quantum low-density parity-check (qLDPC) codes, building qLDPC processors that are high-rate, high-throughput, hardware-friendly, and fast-to-decode…

quant-ph2026★ 2 cited

Shor's algorithm is possible with as few as 10,000 reconfigurable atomic qubits

Madelyn Cain, Qian Xu, Robbie King +6

Quantum computers have the potential to perform computational tasks beyond the reach of classical machines. A prominent example is Shor's algorithm for integer factorization and di…

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…

quant-ph2025★ 8 cited

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…

quant-ph2024

Predicting adaptively chosen observables in quantum systems

Jerry Huang, Laura Lewis, Hsin-Yuan Huang +1

Recent advances have demonstrated that measurements suffice to predict properties of arbitrarily large quantum many-body systems. However, these remarkabl…