Quantum Campus shares the latest in quantum science and technology. Read by more than 2,000 researchers, we publish on Fridays and are always looking for news from across the country. Want to see your work featured? Submit your ideas to the editor.

Google combined calibration with computation for error correction during runs on its Willow superconducting quantum computing platform, allowing for “a quantum computer that learns from its errors and never stops computing.”

The technique produced average logical error per cycle of approximately 7.72 × 10⁻⁴ on surface codes and 8.19 × 10⁻³ on color codes. Error-detection events “are not only used to correct the logical quantum state but are also repurposed as a learning signal, teaching a reinforcement learning agent to continuously steer the control parameters and stabilize the quantum system during computation,” according to the team.

This work was published in Nature.

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Quanta magazine covered the research team that, for the first time, identified a computational problem that requires quantum computing in order to prove that the correct answer has been identified. The work focused on the spectral forrelation problem, which compares two ways of measuring a quantum state. John Bostanci, Jonas Haferkamp, Chinmay Nirkhe, and Mark Zhandry presented it at the 2026 Symposium on Theory of Computing in June.

Read the Quanta story. Read the team’s paper.

Politico covered this week’s White House summit with quantum companies. The meeting emphasized DARPA’s Quantum Benchmarking Initiative and responses to the initiative’s 2033 timeline for an industrially useful quantum computer.

Read the article.

The AI tool you tried last quarter waited for a prompt, hallucinated a number, then asked if you'd like a summary.

Viktor opened a PR at 2am, rebased it against main, ran your test suite, and posted a note in #eng: "Two flaky tests in payments service, both pre-existing. Recommended merging after fixing them." Then drafted the customer reply for the support ticket the bug created.

That's 619K autonomous actions per day across 20,000+ teams. Not chat replies. Real work shipped to GitHub, Stripe, Linear, Notion, and 3,000+ other tools, from inside Slack and Microsoft Teams.

You don't supervise him any more than you supervise a senior engineer.

SOC 2 certified. Your data never trains models.

"It's what you probably originally thought AI was going to be when you first heard of it in sci-fi movies." Tyler, CEO.

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