activity
20242026
most citedEfficient preparation of Dicke states

9 citations · 14 across the 13 of their papers we have counts for

collaborators

15 papers

quant-ph2026

Moving quantum sensors

Evan Zhang, Erfan Abbasgholinejad, Yu-Xin Wang +6

We investigate whether controlled motion of a quantum sensor offers a metrological advantage in a field-detection task. We consider a localized field of known strength occupyin…

quant-ph2026

Bosonic unstructured search: quantum enhancement without entanglement

Yu-Xin Wang, Erfan Abbasgholinejad, Supratik Sarkar +4

We consider unstructured search using multimode bosonic quantum systems under energy constraints. The task is to locate an unknown marked mode among possibilities using arbitra…

quant-ph2026

Anticoncentration and entanglement in Gaussian boson sampling

Laura Shou, Adam Ehrenberg, Yu-Xin Wang +2

Anticoncentration and entanglement are two properties used to study classical hardness or easiness of Gaussian boson sampling in varying regimes. In this paper, we consider three d…

quant-ph2026

Fault-Tolerant Heisenberg-Limited Quantum Sensing

Lorcan O. Conlon, Yu-Xin Wang, Erfan Abbasgholinejad +3

Quantum sensors hold great promise for achieving better sensitivity in the measurement of physical quantities compared to their classical counterparts. However, the conditions unde…

quant-ph2026

Precision Limits of Multiparameter Markovian-Noise Metrology

Anthony J. Brady, Yu-Xin Wang, Luis Pedro García-Pintos +1

Measuring stochastic signals ("noise metrology") constitutes a central task in quantum sensing and the characterization of open quantum systems. Here we establish ultimate precisio…

quant-ph2026

Depth dependence of entanglement and circuit complexity in random linear optical networks

Laura Shou, Joseph T. Iosue, Yu-Xin Wang +2

We study the growth of entanglement and circuit complexity in random passive linear optical networks as a function of the circuit depth. For entanglement dynamics, we start with an…

quant-ph2026

Entanglement advantage in sensing power-law spatiotemporal noise correlations

Yu-Xin Wang, Anthony J. Brady, Federico Belliardo +1

Noise sensing underlies many physical applications including tests of non-classicality, thermometry, verification of correlated phases of quantum matter, and characterization of cr…

quant-ph2026

In-situ Characterization of Light-Matter Coupling in Multimode Circuit-QED Systems

Kellen O'Brien, Won Chan Lee, Alexandra Behne +5

Multimode cavity-QED systems can be leveraged to explore a wide range of physical phenomena; however, a complex multimode environment makes systematic characterization of light-mat…

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

Higher moment theory and learnability of bosonic states

Joseph T. Iosue, Yu-Xin Wang, Ishaun Datta +4

We present a sample- and time-efficient algorithm to learn any bosonic Fock state acted upon by an arbitrary Gaussian unitary. As a special case, this algorithm efficiently learns…

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★ 3 cited

Correlated Noise Estimation with Quantum Sensor Networks

Anthony J. Brady, Yu-Xin Wang, Victor V. Albert +2

We address the metrological problem of estimating collective stochastic properties imprinted on a network of quantum sensors. Canonical examples include center-of-mass quadrature f…

quant-ph2024★ 9 cited

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…

quant-ph2024★ 1 cited

Exponential entanglement advantage in sensing correlated noise

Yu-Xin Wang, Jacob Bringewatt, Alireza Seif +3

Correlated noise naturally arises in quantum systems due to, e.g., phase and amplitude fluctuations in global control or long-range correlations generated by a many-body sensing ta…

quant-ph2024★ 1 cited

Average Rényi Entanglement Entropy in Gaussian Boson Sampling

Jason Youm, Joseph T. Iosue, Adam Ehrenberg +2

Recently, many experiments have been conducted with the goal of demonstrating a quantum advantage over classical computation. One popular framework for these experiments is Gaussia…