57 citations · 200 across the 19 of their papers we have counts for
21 papers
Super-Exponential Advantage of Squeezed Light in Phase Estimation under Discrete Phase Randomisation
Lorcan O. Conlon, V Vijendran, Aritra Das +7
A paradigmatic task in quantum metrology is that of phase estimation. For this task it is commonly believed, under reasonable assumptions about prior information, that a quadratic…
Error-corrected function estimation advantage in multiparameter Hamiltonians
Erfan Abbasgholinejad, Lorcán O. Conlon, Sean R. Muleady +4
We establish the ultimate precision limits for estimating a function of multiple Hamiltonian parameters in the presence of Markovian noise. By reducing multiparameter function esti…
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…
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…
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…
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…
Lieb-Mattis states for robust entangled differential phase sensing
Raphael Kaubruegger, Diego Fallas Padilla, Athreya Shankar +9
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…
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…
Generalized geometric speed limits for quantum observables
Jacob Bringewatt, Zach Steffen, Martin A. Ritter +6
Leveraging quantum information geometry, we derive generalized quantum speed limits on the rate of change of the expectation values of observables. These bounds subsume and, for Hi…
Resilience-Runtime Tradeoff Relations for Quantum Algorithms
Luis Pedro García-Pintos, Tom O'Leary, Tanmoy Biswas +4
A leading approach to algorithm design aims to minimize the number of operations in an algorithm's compilation. One intuitively expects that reducing the number of operations may d…
Estimation of Hamiltonian parameters from thermal states
Luis Pedro García-Pintos, Kishor Bharti, Jacob Bringewatt +4
We upper- and lower-bound the optimal precision with which one can estimate an unknown Hamiltonian parameter via measurements of Gibbs thermal states with a known temperature. The…
Optimal function estimation with photonic quantum sensor networks
Jacob Bringewatt, Adam Ehrenberg, Tarushii Goel +1
The problem of optimally measuring an analytic function of unknown local parameters each linearly coupled to a qubit sensor is well understood, with applications ranging from field…
Quantum Sensing with Erasure Qubits
Pradeep Niroula, Jack Dolde, Xin Zheng +7
The dominant noise in an "erasure qubit" is an erasure -- a type of error whose occurrence and location can be detected. Erasure qubits have potential to reduce the overhead associ…
Lower Bounds on Quantum Annealing Times
Luis Pedro García-Pintos, Lucas T. Brady, Jacob Bringewatt +1
The adiabatic theorem provides sufficient conditions for the time needed to prepare a target ground state. While it is possible to prepare a target state much faster with more gene…
Simultaneous Stoquasticity
Jacob Bringewatt, Lucas T. Brady
Stoquastic Hamiltonians play a role in the computational complexity of the local Hamiltonian problem as well as the study of classical simulability. In particular, stoquastic Hamil…
Lefschetz Thimble Quantum Monte Carlo for Spin Systems
T. C. Mooney, Jacob Bringewatt, Neill C. Warrington +1
Monte Carlo simulations are useful tools for modeling quantum systems, but in some cases they suffer from a sign problem, leading to an exponential slow down in their convergence t…
Minimum Entanglement Protocols for Function Estimation
Adam Ehrenberg, Jacob Bringewatt, Alexey V. Gorshkov
We derive a family of optimal protocols, in the sense of saturating the quantum Cramér-Rao bound, for measuring a linear combination of field amplitudes with quantum sensor net…
Protocols for estimating multiple functions with quantum sensor networks: geometry and performance
Jacob Bringewatt, Igor Boettcher, Pradeep Niroula +2
We consider the problem of estimating multiple analytic functions of a set of local parameters via qubit sensors in a quantum sensor network. To address this problem, we highlight…
Optimal Measurement of Field Properties with Quantum Sensor Networks
Timothy Qian, Jacob Bringewatt, Igor Boettcher +2
We consider a quantum sensor network of qubit sensors coupled to a field analytically parameterized by the vector of parameters . The qubit sensors are fi…
Confronting lattice parton distributions with global QCD analysis
J. Bringewatt, N. Sato, W. Melnitchouk +3
We present the first Monte Carlo based global QCD analysis of spin-averaged and spin-dependent parton distribution functions (PDFs) that includes nucleon isovector matrix elements…
Study of radon reduction in gases for rare event search experiments
K. Pushkin, C. Akerlof, D. Anbajagane +15
The noble elements, argon and xenon, are frequently employed as the target and event detector for weakly interacting particles such as neutrinos and Dark Matter. For such rare proc…