Students and Postdocs working in David Hsieh's lab | © 2015 Elizabeth Eisenstein
News2025-03-01T11:43:37-08:00

Latest News and Publications

Shor’s algorithm is possible with as few as 10,000 reconfigurable atomic qubits

Quantum computers of the future may be closer to reality thanks to new research from Caltech and Oratomic, a Caltech-linked start-up company. Theorists and experimentalists teamed up to develop a new approach for reducing the [...]

March 31st, 2026|Categories: News, Publications, Uncategorized|Comments Off on Shor’s algorithm is possible with as few as 10,000 reconfigurable atomic qubits

Welcome to The Quantum Revolution! A conversation with John Preskill.

Welcome to the Quantum Revolution (TQR)! John Preskill is featured in conversation with Antonella Navarro, host of the newly launched TQR podcast. Learn more about John Preskill’s path from particle physics to quantum information. Recorded [...]

February 6th, 2026|Categories: News, Podcasts, Uncategorized|Comments Off on Welcome to The Quantum Revolution! A conversation with John Preskill.

Resolving superconducting and correlated gaps in magic-angle twisted trilayer graphene

Atomically resolved image of twisted-trilayer graphene obtained by scanning tunneling microscope.Scale bar 10nm. Credit: Nadj-Perge Lab. Magic-angle graphene hosts robust unconventional superconductivity, yet its underlying mechanism has remained elusive despite years of investigation. [...]

February 4th, 2026|Categories: News, Publications, Uncategorized|Comments Off on Resolving superconducting and correlated gaps in magic-angle twisted trilayer graphene

Quantum learning advantage on a scalable photonic platform

An international, multi-institution effort has shown a significant speed-up in using quantum learning techniques to characterize physical systems. The researchers showed that while a classical, entanglement-free approach to these measurements would take 20 million years, [...]

September 26th, 2025|Categories: News, Uncategorized|Comments Off on Quantum learning advantage on a scalable photonic platform
Go to Top