1 citations · 1 across the 4 of their papers we have counts for
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Butterfly Echo Protocol for Axis-Agnostic Heisenberg-Limited Metrology
Jacob Bringewatt, Leon Zaporski, Matthew Radzihovsky +4
The extreme sensitivity of chaotic systems to external perturbations makes them natural candidates for sensing applications. We propose a single-shot echo-based protocol for estima…
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…
Lieb-Mattis states for robust entangled differential phase sensing
Raphael Kaubruegger, Diego Fallas Padilla, Athreya Shankar +10
We explore a two-node, entanglement-enhanced sensor network for differential phase sensing that exploits decoherence-free subspaces to suppress common-mode noise, a primary limitat…
A New Angle on Quantum Subspace Diagonalization for Quantum Chemistry
Xeno De Vriendt, Jacob Bringewatt, Nik O. Gjonbalaj +5
Quantum subspace diagonalization and quantum Krylov algorithms offer a feasible, pre- or early-fault tolerant alternative to quantum phase estimation for using quantum computers to…
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…
Exponential entanglement advantage in sensing correlated noise
Yu-Xin Wang, Jacob Bringewatt, Alireza Seif +3
In this work, we propose a new form of exponential quantum advantage in the context of sensing correlated noise. Specifically, we focus on the problem of estimating parameters asso…