3 papers
quant-ph2025
Optimally learning functions in interacting quantum sensor networks
Erfan Abbasgholinejad, Sean R. Muleady, Jacob Bringewatt +4
Estimating extensive combinations of local parameters in distributed quantum systems is a central problem in quantum sensing, with applications ranging from magnetometry to timekee…
quant-ph2025
Error mitigation of shot-to-shot fluctuations in analog quantum simulators
Thomas Steckmann, De Luo, Yu-Xin Wang +7
Analog quantum simulators have provided key insights into quantum many-body dynamics. However, in such systems, both coherent and incoherent errors limit their scalability, hinderi…
quant-ph2024
Efficient preparation of Dicke states
Jeffery Yu, Sean R. Muleady, Yu-Xin Wang +3
We present an algorithm utilizing mid-circuit measurement and feedback that prepares Dicke states with polylogarithmically many ancillas and polylogarithmic depth. Our algorithm us…