jax-cfd VS tequila

https://github.com/google/jax-cfd#other-awesome-projects lists "Other differentiable CFD codes compatible with deep learning"

FWIU the AlphaZero for Fusion optimization is for the non-fluid plasma Deep Learning convex optimization part of the problem?

Which of the Quantum circuit simulator back ends supported by tequila are accelerateable with CUDA quantum?

src/tequila/simulators: https://github.com/tequilahub/tequila/tree/master/src/tequil...

> Once you stop caring about the brain and neurons and you find out that almost every cell in the body has gap junctions and voltage-gated ion channels which for all intents and purposes implement boolean logic and act as transistors for cell-to-cell communication, biology appears less as something which has been overcome and more something towards which we must strive with our primitive technologies: for instance, we can only dream of designing rotary engines as small, powerful, and resilient as the ATP synthase protein [2].

But what of wave function(s); and quantum chemistry at the cellular level? https://github.com/tequilahub/tequila#quantumchemistry

Is emergent cognition more complex than boolean entropy, and are quantum primitives necessary to emulate apparently consistently emergent human cognition for whatever it's worth?

[Church-Turing-Deutsch, Deutsch's Constructor theory]

Is ATP the product of evolutionary algorithms like mutation and selection? Heat/Entropy/Pressure, Titration/Vibration/Oscillation, Time

From the article:

> The next step, Lechner said, “is to figure out how many, or how few, neurons we actually need to perform a given task.”

Notes regarding Representational drift* and remarkable resilience to noise in BNNs) from "The Fundamental Thermodynamic Cost of Communication: https://news.ycombinator.com/item?id=34770235

It's never just one neuron.

And furthermore, FWIU, human brains are not directed graphs of literally only binary relations.

In a human brain,

https://github.com/tequilahub/tequila/blob/master/src/tequil...

Pauli matrices > Quantum information: https://en.wikipedia.org/wiki/Pauli_matrices#Quantum_informa...

From Quantum_information#Quantum_information_processing https://en.wikipedia.org/wiki/Quantum_information#Quantum_in... :

> The state of a qubit contains all of its information. This state is frequently expressed as a vector on the Bloch sphere. This state can be changed by applying linear transformations or quantum gates to them. These unitary transformations are described as rotations on the Bloch Sphere. While classical gates correspond to the familiar operations of Boolean logic, quantum gates are physical unitary operators.

> Tequila is an Extensible Quantum Information and Learning Architecture where the main goal is to simplify and accelerate implementation of new ideas for quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state of the art simulators as well as on real quantum devices.

https://github.com/tequilahub/tequila#quantum-backends

Quantum Backends currently supported by tequilahub/tequila: Qulacs, Qibo, Qiskit, Cirq, PyQuil, QLM, myQLM)

tequila-tutorials/Quantum_Calculator.ipynb https://github.com/tequilahub/tequila-tutorials/blob/main/Qu... :

> Welcome to the Tequila Calculator Tutorial. In this tutorial, you will learn how to create a quantum circuit that simulates addition using Tequila. We also compare the performance of various backends that Tequila uses.

a) have you heard of tequila? seems pretty similar