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Quantum programming refers to the process of designing and implementing algorithms that operate on quantum systems, typically using quantum circuits composed of quantum gates, measurements, and classical control logic. This list may not reflect recent changes. In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the quantum circuit model of computation
Quil is being developed for the superconducting quantum processors developed by rigetti computing through the forest quantum programming api Category:quantum programming help pages in category quantum programming the following 15 pages are in this category, out of 15 total [5][6] a python library called pyquil was introduced to develop quil programs with higher level constructs
A quil backend is also supported by other quantum programming environments
Open quantum assembly language (openqasm Pronounced open kazm) [1] is a programming language designed for describing quantum circuits and algorithms for execution on quantum computers. A quantum computer is a (real or theoretical) computer that exploits superposed and entangled states Quantum computers can be viewed as sampling from quantum systems that evolve in ways that may be described as operating on an enormous number of possibilities simultaneously, though still subject to strict computational constraints.
Quantum computation language (qcl) is one of the first implemented quantum programming languages Its syntax resembles the syntax of the c programming language and its classical data types are similar to primitive data types in c One can combine classical code and quantum code in the same program. Quantum logic gate common quantum logic gates by name (including abbreviation), circuit form (s) and the corresponding unitary matrices in quantum computing and specifically the quantum circuit model of computation, a quantum logic gate (or simply quantum gate) is a basic quantum circuit operating on a small number of qubits.
Cirq was developed by the google ai quantum team, and the public alpha was announced at the international workshop on quantum software and quantum machine learning on july 18, 2018
[2] a demo by qc ware showed an implementation of qaoa solving an example of the maximum cut problem being solved on a cirq simulator
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