Zobrazeno 1 - 10
of 5 681
pro vyhledávání: '"Holland, A. J. A."'
Autor:
Holland, Matthew J., Hamada, Toma
While the traditional formulation of machine learning tasks is in terms of performance on average, in practice we are often interested in how well a trained model performs on rare or difficult data points at test time. To achieve more robust and bala
Externí odkaz:
http://arxiv.org/abs/2408.03619
Autor:
Wilson, John Drew, Reilly, Jarrod T., Zhang, Haoqing, Luo, Chengyi, Chu, Anjun, Thompson, James K., Rey, Ana Maria, Holland, Murray J.
The ability to create and harness entanglement is crucial to the fields of quantum sensing and simulation, and ultracold atom-cavity systems offer pristine platforms for this undertaking. Here, we present a method for creating and controlling entangl
Externí odkaz:
http://arxiv.org/abs/2406.13616
Autor:
Alam, Shah Saad, Colussi, Victor E., Wilson, John Drew, Reilly, Jarrod T., Perlin, Michael A., Holland, Murray J.
The performance of a quantum sensor is fundamentally limited by noise. This noise is particularly damaging when it becomes correlated with the readout of a target signal, caused by fluctuations of the sensor's operating parameters. These uncertaintie
Externí odkaz:
http://arxiv.org/abs/2405.07907
Autor:
Holland, Matthew J.
In this work, we consider the notion of "criterion collapse," in which optimization of one metric implies optimality in another, with a particular focus on conditions for collapse into error probability minimizers under a wide variety of learning cri
Externí odkaz:
http://arxiv.org/abs/2402.09802
Estimating a quantum phase is a necessary task in a wide range of fields of quantum science. To accomplish this task, two well-known methods have been developed in distinct contexts, namely, Ramsey interferometry (RI) in atomic and molecular physics
Externí odkaz:
http://arxiv.org/abs/2402.04471
Autor:
Holland, Matthew J., Nakatani, Kosuke
As a heuristic for improving test accuracy in classification, the "flooding" method proposed by Ishida et al. (2020) sets a threshold for the average surrogate loss at training time; above the threshold, gradient descent is run as usual, but below th
Externí odkaz:
http://arxiv.org/abs/2310.10006
Autor:
Reilly, Jarrod T., Jäger, Simon B., Wilson, John Drew, Cooper, John, Eggert, Sebastian, Holland, Murray J.
We present a simple and effective method to create highly entangled spin states on a faster timescale than that of the commonly employed one-axis twisting (OAT) model. We demonstrate that by periodically driving the Dicke Hamiltonian at a resonance f
Externí odkaz:
http://arxiv.org/abs/2310.07694
Autor:
Reilly, Jarrod T., Wilson, John Drew, Jäger, Simon B., Wilson, Christopher, Holland, Murray J.
We propose a computationally efficient method to derive the unitary evolution that a quantum state is most sensitive to. This allows one to determine the optimal use of an entangled state for quantum sensing, even in complex systems where intuition f
Externí odkaz:
http://arxiv.org/abs/2305.15556
Autor:
Luo, Chengyi, Zhang, Haoqing, Koh, Vanessa P. W., Wilson, John D., Chu, Anjun, Holland, Murray J., Rey, Ana Maria, Thompson, James K.
Quantum simulation and sensing hold great promise for providing new insights into nature, from understanding complex interacting systems to searching for undiscovered physics. Large ensembles of laser-cooled atoms interacting via infinite-range photo
Externí odkaz:
http://arxiv.org/abs/2304.01411
Autor:
Irvine, Samuel K, Fullard, Luke A, Holland, Daniel J, Clarke, Daniel A, Lynch, Thomasin A, Lagrée, Pierre-Yves
Granular material is often handled using silos with inserts in industrial processes to prevent "rat-holing" and similar behaviour, optimise mixing behaviour, and prevent segregation. We study the mass flow rate and the static zones of granular silos
Externí odkaz:
http://arxiv.org/abs/2302.12550