Dive into a comprehensive lecture on quantum error correction delivered by Victor Albert from NIST/Maryland at the Noisy Intermediate-Scale Quantum Systems conference. Explore the origins, growth, and basics of quantum error correction, starting with repetition codes and progressing to more complex structures like stabilizer codes, surface codes, and bosonic codes. Examine the geometric perspective of error correction, discuss break-even points and threshold theorems, and learn about the hardness of decoding. Gain insights into recent experimental implementations, commercial proposals, and the explosion of quantum low-density parity-check (QLDPC) codes. Conclude with observations on notable codes and emerging opportunities in the field of quantum error correction.