• Viewing computational linguistics from the length across linear algebra and linear structure
• Quantum algorithms and the necessary infra were being developed; and in the 2010s programmable quantum computers became showing up

Quantum is done over the complexes, which makes the normal linguistics done with the reals more powerful.

• want to infer the probability distribution of words based on their letters

  • Linearity breaks down: letter combinations in not commutative; and P(letter C) + P(letter A) != P(letters CA)

• instead of encoding letters as one-hot vectors; we encode these letters with matrices: adds more dimensions

The information theory computational model behind quantum theory. It proposes quantum computers, proposed during the 80s. Theoretically, quantum computers have quantum supremacy, which is exciting. It is a theory that works with counterfactual information.

quantum computer

A quantum computer is a computer that uses quantum effects to perform Turing-like computations

quantum supremacy

That a quantum computer outperforms all classical computers

universal computer

“a programmable system whose repertoire includes all physically possible computations” — Turing.

You will realize that modern computers are not actually capable of all computations—apparently, they can’t make itself.

quantum theory allows us to understand physics; it reconciliations the classical world with the quantum world.

1. Classical particles, in the double slit experiment, would just straight go through and bounce off
2. Actual particles (quantum) like light, under quantum theory, would actually exhibit interference via wave-like hebahior

The measurement of quantum theory is done via quantum information theory.

A little endeavor to learn about Lambek Calculus, quantum information theory, and linguistics I guess.

Courses to Take for QNLP

Categorical Grammars Index