The New Horizons prizes are awarded to "promising early-career researchers who have already produced important work," according to the Breakthrough Prize website.
PMA invites family and friends to join us for our annual Fall Gathering!
September 28 | 4:30pm
Join this week's Astronomy Colloquium: "Galaxies Lacking Dark Matter" with Jorge Moreno. (learn more)
September 26 | 7:30pm
Join this week's Astronomy on Tap: "Life Finds a Way" and "Not All Who Wander Are Planets" with Ivey Davis and Max Goldberg. (learn more)
September 27 | 2pm
Join this week's Caltech/UCLA/USC Joint Analysis Seminar: "The gradient flow structure of the Landau equation" with Jeremy Wu. (learn more)
September 26 | 7:30pm
Join this week's Caltech/UCLA/USC Joint Analysis Seminar: "On slowly rotating star solutions" with Juhi Jang. (learn more)
September 28 | 11am
Join this week's Logic Seminar: "Iteration problems in Symbolic Dynamics" with Adrian R.D. Mathias. (learn more)
September 28 | 11am
Join this week's IQIM Postdoctoral and Graduate Student Seminar: "NLTS Hamiltonians from good quantum codes" with Nikolaus Breuckmann. (learn more)
September 28 | 12:15pm
Join this week's IPAC Seminar: "Planetary Climate on Red Water Worlds" with Ana Lobo. (learn more)
September 30 | 11am
Join this week's High Energy Theory Seminar: "Collisions of shockwaves and quantum circuits" with Ying Zhao. (learn more)
September 30 | 12pm
Join this week's IQIM Postdoctoral and Graduate Student Seminar: "Gravitationally induced decoherence vs space-time diffusion: testing the quantum nature of gravity" with Jonathan Oppenheim. (learn more)
September 30 | 2pm
Join this week's TAPIR Seminar: "The role of AGN accretion disks in the formation of characteristic, low frequency GW sources" with Andrea Derdzinski. (learn more)
September 30 | 4pm
Join this week's Geometry and Topology Seminar: "A filtered mapping cone formula for cables of the knot meridian" with Hugo Zhou. (learn more)
September 30 | 8pm
Join this week's Stargazing Lecture: "The Mystery of Cosmic Rays" with Kathryn Plant. (learn more)
A Q&A with Caltech alumnus John Clauser on his first experimental proof of quantum entanglement.
A new Caltech-led study in the journal Science describes how machine learning tools, run on classical computers, can be used to make predictions about quantum systems and thus help researchers solve some of the trickiest physics and chemistry problems. While this notion has been proposed before, the new report is the first to mathematically prove that the method works in problems that no traditional algorithms could solve.
