martinmartinez

Mathematics for Machine Learning https://www.amazon.com/Mathematics-Machine-Learning-Peter-De...

Learning Quantum Computing based on skill level (math is the biggest friction point, suggested pdf should save you lots of time) (Recc is personal recommendations, Hi-Recc is look at ASAP)

# QC Main Ideas

    - Rotate, Compute, Rotate
    - Think in Amplitude Interference

# Beginner:

    -(Hi-Recc) Quantum Computing Primer (1.5hr) : https://www.youtube.com/watch?v=F_Riqjdh2oM
    -(Hi-Recc) Math Primer for Quantum Computing (easiest intro/primer I found on the topic; Highly Recommend   ) : https://cds.cern.ch/record/1522001/files/978-1-4614-6336-8_BookBackMatter.pdf
        -- understand Bra Ket notation [<Bra|Ket>]  (Ket as Column vector, Bra (Row vector) as Complex Conjugate of Ket (denoted as dagger) )
        -- understand Kronecker product  ( for multi-qubit systems) 
    - Quantum Computing for Computer Scientists book - https://www.amazon.com/Quantum-Computing-Computer-Scientists-Yanofsky/dp/0521879965
    - Quantum Math Primer (Faculty of Khan) (found a bit hard the first time around, pretty dense) : https://www.youtube.com/playlist?list=PLdgVBOaXkb9AtG88OsK_c8FDEBDLCC6_9

# Intermediate

    -(Recc) Ryan O'Donnell CMU course [is the best if you want to really understand the capabilities of quantum computing, get practice with math, intuition] (algos connection to Fourier, Quantum Complexity Theory, Math best practices, learning multi-quibit systems) 
        -- Quantum Computation and Information at CMU : https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz
        -- Lecture Notes (use as reference in case video is not clear, or camera shot lags/changes) https://www.cs.cmu.edu/~odonnell/quantum18/  
    - Mermin's Textbook https://www.goodreads.com/book/show/1959623.Quantum_Computer_Science
    - Nielsen & Chuang's Textbook https://www.amazon.com/Quantum-Computation-Information-10th-Anniversary/dp/1107002176
        -- Nielsen's Lectures https://www.youtube.com/playlist?list=PL1826E60FD05B44E4

# Advanced

    -(Recc) Scott Aaronson Graduate Course http://stellar.mit.edu/S/course/6/fa14/6.845/materials.html
    -(Recc) Scott Aaronson Papers (really interesting) https://scottaaronson.com/papers/
    - Complexity Zoo - List of Algorithms https://complexityzoo.uwaterloo.ca/Complexity_Zoo
    -(Recc) Machine Learning https://www.amazon.com/Quantum-Machine-Learning-Computing-Mining/dp/0128100400

# Reference:

    -(Recc) https://qiskit.org/textbook/preface.html   ToC for different algorithms ( easy to follow, do it for quick basic algo math implementation lookup)
    - 'Suggested texts, notes, and videos to look at' section at bottom of page https://www.cs.cmu.edu/~odonnell/quantum18/

( I found this skill level format useful when learning Haskell/Functional Programming Paradigm. This is what I found useful for getting started with minimal friction; if more of a textbook learner Nielsen/Chuang textbook or Quantum Computing for Computer Scientist's)

# Hot qubits made in Sydney break one of the biggest constraints to practical quantum computers

The unit cell developed by Dzurak’s team comprises two qubits confined in a pair of quantum dots embedded in silicon. The result, scaled up, can be manufactured using existing silicon chip factories, and would operate without the need for multi-million-dollar cooling. It would also be easier to integrate with conventional silicon chips, which will be needed to control the quantum processor.

1) Look at the language style guide. To see the best practices if relevant; or how naming variables in said guide. 2) Name based on a variation of hungarian notation based on data. bCat for boolean for if cat or not; x for item of list; xs for a list of items. Here are more examples https://en.wikipedia.org/wiki/Hungarian_notation#Examples (PS i know hungarian notation has fallen out of favor; modify for the language you are using; and keep it simple) 3) This blog post from Joel Spolsky might be useful https://www.joelonsoftware.com/2005/05/11/making-wrong-code-...

Python with a bias toward data visualization. Working with CSV's (Jupyter notebook, Pandos). Java for software engineering.