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Plants, Quantum Sensors, and Predicting Cancer Evolution (EP. 25)

Plants, Quantum Sensors, and Predicting Cancer Evolution (EP. 25)

From First Principles vor 7 Monaten

0:00

1:49:02

Hosted by Lester Nare and Krishna
Choudhary, this episode jumps from plant biochemistry to
quantum metrology to cancer evolution. We start with a University
of York breakthrough that solves a ~50-year mystery in alkaloid
biosynthesis—identifying the “missing” enzyme behind a key
asymmetric step plants use to build powerful defensive (and
pharmaceutically useful) molecules. Then we go deep on quantum
sensing with entangled atomic clouds, showing
how correlated measurements can beat the standard quantum limit.
Finally, we close with ALFA-K, a new tool that
maps local fitness landscapes to predict how aneuploid cancers
may evolve under pressure from therapy.

Summary

Plants making medicines — the “phantom enzyme”
in alkaloid biosynthesis and why solving this pathway matters
for scalable drug production.

Quantum measurements with entangled atom
clouds — squeezed/entangled states, noise reduction,
and why correlations unlock better sensing.

Predicting cancer evolution — ALFA-K and
measurable fitness landscapes for aneuploidy-driven
trajectories under treatment.

Show Notes

Story 1 — Plant alkaloid biosynthesis (University of York)

Paper — New Phytologist

Story 2 — Quantum measurements with entangled atomic clouds
(University of Basel)

Paper — Science

Story 3 — Alpha-K (Moffitt Cancer Center)

Paper — Nature Communications