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  2. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  3. Flipism - Wikipedia

    en.wikipedia.org/wiki/Flipism

    Coin flipping, cutting a deck of playing cards, finding a quotation in a holy book, consulting a Magic 8 Ball, or rolling a die. Accepting the first option that seems like it might achieve the desired result (known as " satisficing "), given the marginal effort involved in trying to process the information and optimize the result.

  4. Penney's game - Wikipedia

    en.wikipedia.org/wiki/Penney's_game

    One suggested variation on Penney's Game uses a pack of ordinary playing cards. The Humble-Nishiyama Randomness Game follows the same format using Red and Black cards, instead of Heads and Tails. [2] [3] The game is played as follows. At the start of a game each player decides on their three colour sequence for the whole game.

  5. Quantum coin flipping - Wikipedia

    en.wikipedia.org/wiki/Quantum_coin_flipping

    Quantum coin flipping uses the principles of quantum mechanics to encrypt messages for secure communication. It is a cryptographic primitive which can be used to construct more complex and useful cryptographic protocols, [ 2 ] e.g. Quantum Byzantine agreement .

  6. Generator (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Generator_(computer...

    In Python, a generator can be thought of as an iterator that contains a frozen stack frame. Whenever next() is called on the iterator, Python resumes the frozen frame, which executes normally until the next yield statement is reached. The generator's frame is then frozen again, and the yielded value is returned to the caller.

  7. Commitment scheme - Wikipedia

    en.wikipedia.org/wiki/Commitment_scheme

    In 1991 Moni Naor showed how to create a bit-commitment scheme from a cryptographically secure pseudorandom number generator. [17] The construction is as follows. If G is a pseudo-random generator such that G takes n bits to 3n bits, then if Alice wants to commit to a bit b: Bob selects a random 3n-bit vector R and sends R to Alice.

  8. Zen of Python - Wikipedia

    en.wikipedia.org/wiki/Zen_of_Python

    The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...

  9. Quantum error correction - Wikipedia

    en.wikipedia.org/wiki/Quantum_error_correction

    A generalisation of the technique used by Steane, to develop the 7-qubit code from the classical [7, 4] Hamming code, led to the construction of an important class of codes called the CSS codes, named for their inventors: Robert Calderbank, Peter Shor and Andrew Steane. According to the quantum Hamming bound, encoding a single logical qubit and ...