Physics, Technology News

American Physical Society Launches New APS Member Log In System

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May 14, 2026 by Ivy Delaney

Beginning August 1, readers will no longer be able to access content from the American Physical Society using their existing APS Journal Account credentials, requiring a change in login procedures for regular subscribers. The organization is facilitating this transition by offering access via established institutional authentication systems, specifically Shibboleth and OpenAthens, accommodating academic libraries and university IT departments managing access for their users. This change applies to all publications, including Physical Review Applied, a trademark of the American Physical Society registered in the United States, which underscores the organization’s brand protection. The American Physical Society is directing users to alternative login options, including institutional access and direct purchase, to ensure continued access to its physics resources.

Institutional & APS Member Access Protocols

Beginning August 1, a change in authentication protocols will require American Physical Society member subscribers to utilize their member credentials rather than APS Journal Account logins, potentially impacting workflows for those accustomed to the previous system. The APS directs users to resources for a smooth transition. This legal designation reinforces the brand identity of the flagship publication and signals the APS’s long-term investment in its scientific journals. Beyond direct subscriptions and institutional access, alternative options exist for those seeking to view content, including purchasing individual articles and utilizing access points provided by U.S. public and high schools, ensuring broad dissemination of physics research.

Article Acquisition & Copyright Information

The American Physical Society provides multiple avenues for accessing its publications, including subscriptions, institutional access, and individual article purchases. These options ensure that researchers, educators, and students can continue to access important physics research. The organization’s commitment to protecting its brand and providing access to its content demonstrates its dedication to the scientific community.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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