activity
20162026
most citedSpectrum estimation of density operators with alkaline-earth atoms

8 citations · 8 across the 14 of their papers we have counts for

collaborators

23 papers

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

Ordering-Aware Theory of Trotter Error

Zhenning Liu, Zhi-Yuan Wei, Michael Foss-Feig +2

Product formulas are a basic tool for simulating quantum many-body dynamics, but a fundamental degree of freedom in their application---the ordering of Hamiltonian terms---has rema…

quant-ph2026

Pricing of graph-based quantum portfolios from first principles

Daniel J. Spencer, Bin Cheng, Dinh-Long Vu +3

A central topic in economics and finance is the valuation of strategic games and bets, of investments providing uncertain future cashflows, and of other asset-like structures and c…

quant-ph2026

Learning Many-Body Hamiltonians Using a Local Probe

Suying Liu, Zitai Xu, Alexey V. Gorshkov +3

Hamiltonian learning provides a systematic framework for reconstructing unknown quantum dynamics. However, existing protocols typically assume direct measurement access to the enti…

quant-ph2026

Function-like pseudorandom unitaries generate pseudorandom quantum processes

Zitai Xu, Rahul Arvind, Kishor Bharti +5

Haar-random unitaries provide a canonical model of generic random quantum evolution, but they typically have exponential description and circuit complexity. Although pseudorandom u…

quant-ph2026

Mixed-state phases induced by power-law quantum channels

Christopher Fechisin, Tsung-Cheng Lu, Zhi-Yuan Wei +4

Open quantum systems can exhibit inherently mixed quantum orders, such as strong-to-weak spontaneous symmetry breaking (SW-SSB), which have no analogue in pure states. It is genera…

quant-ph2026

Deciding the Attainability of the Multiparameter Quantum Fisher Information is NP-Hard

Lorcan O. Conlon, Laura Shou, V Vijendran +7

The quantum Fisher information (QFI) sets a fundamental bound on the attainable precision when estimating multiple parameters simultaneously. Incompatibility among the individually…

quant-ph2026

Optimal noisy sequential multiparameter quantum sensing

Andrew Tanggara, Lorcán O Conlon, Alexey V. Gorshkov +1

The most general strategy for estimating parameters of a quantum channel is to probe the channel many times sequentially with the help of coherent ancillary systems. However, findi…

quant-ph2026

A constructive violation of additivity of minimum output von Neumann entropy

Laura Shou, Alexey V. Gorshkov

We give an explicit non-random example of nonadditivity of minimum output von Neumann entropy. The proof uses a finite-dimensional construction which imitates free Haar unitary beh…

quant-ph2026

Log-depth entanglement transition in hypercube Gaussian boson sampling

Laura Shou, Alexey V. Gorshkov

We study an entanglement transition at logarithmic depth in random hypercube linear optical networks. Starting from an initial Gaussian state with all modes squeezed, we prove that…

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

Fast GHZ encoding with fidelity

Laura Shou, T. C. Mooney, Twesh Upadhyaya +1

We prove that -fidelity -qubit Greenberger--Horne--Zeilinger (GHZ) encoding can be performed in time using all-to-all 2-local Hamiltonians with bounded 2…

quant-ph2026

Proof of the hiding conjecture for Gaussian boson sampling with an arbitrary number of squeezed input modes

Laura Shou, Alexey V. Gorshkov, Victor Galitski +1

Gaussian boson sampling (GBS) is a sampling task proposed to demonstrate quantum advantage. We consider Gaussian boson sampling on optical modes, with equally squeezed inpu…

quant-ph2026

Fock-state preparation based on amplitude amplification in cavity QED

Sharoon Austin, Zhi-Yuan Wei, Kartik Srinivasan +1

In this work, we develop a coherent control technique for cavity QED based on amplitude amplification. We consider two physical platforms. In the first setting, we study a three-le…

quant-ph2026

Differentially private quantum sensor networks

Daniel J. Spencer, Kaiyan Shi, Emil T. Khabiboulline +2

Quantum sensing is a promising technology capable of demonstrating clear advantage over comparable classical techniques for precise measurement. One application of quantum sensing…

quant-ph2026

An efficient Pauli decomposition algorithm for structured matrices

Daniel J. Spencer, Kishor Bharti, Alexey V. Gorshkov

Decomposing classical matrices into linear combinations of Pauli strings is a major bottleneck for end-to-end implementations of near-term quantum algorithms. In this work, we cons…

quant-ph2026

Multiparameter function estimation for general Hamiltonians

Erfan Abbasgholinejad, Sean R. Muleady, Jacob Bringewatt +2

Estimation of physical parameters encoded in a Hamiltonian is a central task in quantum sensing and learning. While the ultimate precision limit for estimating a single parameter c…

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

Noise-induced contraction of MPO truncation errors in noisy random circuits and Lindbladian dynamics

Zhi-Yuan Wei, Joel Rajakumar, Jon Nelson +3

We study how matrix-product-operator (MPO) truncation errors evolve when simulating two setups: (1) 1D Haar-random circuits under either depolarizing noise or amplitude-damping noi…

quant-ph2025

A vapor-cavity-QED system for quantum computation and communication

Sharoon Austin, Dhruv Devulapalli, Khoi Hoang +3

In this work, we propose performing key operations in quantum computation and communication using room-temperature atoms moving across a grid of high-quality-factor, small-mode-vol…

quant-ph2025

Efficiently learning fermionic unitaries with few non-Gaussian gates

Sharoon Austin, Mauro E. S. Morales, Alexey Gorshkov

Fermionic Gaussian unitaries are known to be efficiently learnable and simulatable. In this paper, we present a learning algorithm that learns an -mode circuit containing pa…

quant-ph2016★ 8 cited

Spectrum estimation of density operators with alkaline-earth atoms

Michael E. Beverland, Jeongwan Haah, Gorjan Alagic +3

We show that Ramsey spectroscopy of fermionic alkaline-earth atoms in a square-well trap provides an efficient and accurate estimate for the eigenspectrum of a density matrix whose…