Basic 101 Way to Start Your Quantum Computing Week
It has been quite a while since The Qubit Report reiterated the need to rewind and review the basic 101 of quantum computing. Recently, Microsoft placed some updates to their Microsoft Quantum site. Recommend taking a look at the source, below. Because Quantum is Coming. Qubit
Introduction to quantum computing and the Quantum Development Kit
Points to note…
+ The Microsoft Quantum Development Kit (QDK) is a set of open-source tools designed to help developers learn quantum algorithms and write quantum programs. Quantum computing holds the promise to solve some of our planet’s biggest challenges – in the areas of environment, agriculture, health, energy, climate, materials science, and others we haven’t encountered yet.
+ For some of these problems, even our most powerful computers run into problems. While quantum technology is just beginning to impact the computing world, it could be far-reaching and change the way we think about computing.
+ Q# and the Microsoft Quantum Development Kit (QDK)
+ Q# is Microsoft’s open-source programming language for developing and running quantum algorithms. It is part of the QDK, a full-featured development kit for Q# that you can use with standard tools and languages to develop quantum applications that you can run in various environments, including the built-in full-state quantum simulator.
+ There are extensions for Visual Studio and VS Code, and packages for use with Python and Jupyter Notebook.
+ The QDK includes a standard library along with specialized chemistry, machine learning, and numerics libraries.
+ The documentation includes a Q# language guide, tutorials, and sample code to get you started quickly, and rich articles to help you dive deeper into quantum computing concepts.
+ Cryptography and Shor’s algorithm
+ In 1994, Peter Shor showed that a scalable quantum computer could break widely used encryption techniques such as the RSA algorithm. Classical cryptography relies on the intractability of problems such as integer factorization or discrete logarithms, many of which can be solved more efficiently using quantum computers.
+ Search and Grover’s algorithm
+ In 1996, Lov Grover developed a quantum algorithm that dramatically sped up the solution to unstructured data searches, running the search in fewer steps than any classical algorithm could.
+ Quantum-inspired computing and optimization
+ Quantum-inspired algorithms use quantum principles for increased speed and accuracy but implement on classical computer systems. This approach allows developers to leverage the power of new quantum techniques today without waiting for quantum hardware, which is still an emerging industry.
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