activity
20122022
most citedBlack Holes, Information, and Hilbert Space for Quantum Gravity

78 citations · 81 across the 4 of their papers we have counts for

collaborators

7 papers

quant-ph2022

Quantum Neural Networks for a Supply Chain Logistics Application

Randall Correll, Sean J. Weinberg, Fabio Sanches +2

Problem instances of a size suitable for practical applications are not likely to be addressed during the noisy intermediate-scale quantum (NISQ) period with (almost) pure quantum…

quant-ph20223 cited

Supply Chain Logistics with Quantum and Classical Annealing Algorithms

Sean J. Weinberg, Fabio Sanches, Takanori Ide +2

Noisy intermediate-scale quantum (NISQ) hardware is almost universally incompatible with full-scale optimization problems of practical importance which can have many variables and…

hep-th2020

Radial Cutoffs and Holographic Entanglement

Brianna Grado-White, Donald Marolf, Sean J. Weinberg

Tensor networks, , and broader notions of a holographic principle all motivate the idea that some notion of gravitational holography should persist in the presence of a r…

astro-ph.CO2020

DAYENU: A Simple Filter of Smooth Foregrounds for Intensity Mapping Power Spectra

Aaron Ewall-Wice, Nicholas Kern, Joshua S. Dillon +14

We introduce DAYENU, a linear, spectral filter for HI intensity mapping that achieves the desirable foreground mitigation and error minimization properties of inverse co-variance w…

hep-th2019

Gauge-invariant observables in gravity and electromagnetism: black hole backgrounds and null dressings

Steven B. Giddings, Sean Weinberg

We address questions regarding construction and implications of gauge-invariant "dressed" observables in nontrivial background geometries such as that of a black hole. Formally, su…

hep-th2019

Holographic Shannon Entropy: The Outer Entropy of Entanglement Wedges

Sean J. Weinberg

We introduce a simple geometrical construction similar to covariant holographic entanglement entropy but with the addition of a new term proportional to boundary region volume. Thi…