Skip to main content
George S. Barron on Muck Rack

George S. Barron

As seen in: Nature, Physical Review B, Mukilteo Beacon
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with George S.

Contact George S., search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

HED: Safety at the proposed Mukilteo Dive Park

|
By George S. Barron
| Mukilteo Beacon Verified
Guest View It’s good to see that the proposed Dive Park is in the Mukilteo Beacon news. I think it’s good to get the news out that the City of Mukilteo may have, in the relatively near future, a … This item is available in full to subscribers. Username or Email address Password Print and web subscribers If you're a print and web subscriber, but do not yet have an online account, click here to create one.
Open in Who Shared View Duplicates (111) Issue with article?

Scaling adaptive quantum simulation algorithms via operator pool tiling

|
By George S. Barron, Nicholas J. Mayhall, Edwin Barnes, Karunya Shirali
| Physical Review B
Adaptive variational quantum simulation algorithms use information from a quantum computer to dynamically create optimal trial wave functions for a given problem Hamiltonian. A key ingredient in these algorithms is a predefined operator pool from which trial wave functions are constructed. Finding suitable pools is critical for the efficiency of the algorithm as the problem size increases.
Open in Who Shared Issue with article?

Adaptive, problem-tailored variational quantum eigensolver mitigates rough parameter landscapes and barren plateaus - npj Quantum Information

|
By Harper R. Grimsley, George S. Barron, Sophia E. Economou
| Nature Verified
Abstract Variational quantum eigensolvers (VQEs) represent a powerful class of hybrid quantum-classical algorithms for computing molecular energies. Various numerical issues exist for these methods, however, including barren plateaus and large numbers of local minima. In this work, we consider the Adaptive, Problem-Tailored Variational Quantum Eiegensolver (ADAPT-VQE) ansätze, and examine how they are impacted by these local minima.
Open in Who Shared Issue with article?
See all 6 articles