[18][19] Three simulators are provided - one in the Fock basis, one using the Gaussian formulation of quantum optics,[20] and one using the TensorFlow machine learning library. {\displaystyle |\phi \rangle } It is built on top of the LLVM Compiler Infrastructure to perform optimizations on Scaffold code before generating a specified instruction set. to [43][38] Unlike Selinger's QPL, this language takes duplication, rather than discarding, of quantum information as a primitive operation. 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. QCL (Quantum Computation Language) tries to fill this gap: QCL is a high level, architecture independent programming language for quantum computers, with a syntax derived from classical procedural languages like C or Pascal. Open Quantum Assembly Language Andrew W. Cross, Lev S. Bishop, John A. Smolin, Jay M. Gambetta January 10th, 2017 1 Background Software architectures, compilers, and languages speci cally for quantum computing have The first attempt to define a quantum lambda calculus was made by Philip Maymin in 1996. ϕ [15] Forest is based on the Quil instruction set. [50], In 2004, Selinger and Valiron defined a strongly typed lambda calculus for quantum computation with a type system based on linear logic. A language developed by Microsoft to be used with the Quantum Development Kit. [45] It is currently being developed by the Quantum Architectures and Computation Group (QuArC)[46] part of the StationQ efforts at Microsoft Research. An Open Source project developed by Google, which uses the Python programming language to create and manipulate quantum circuits. procedure - Can call measure, print, and dump inside this function. An operational semantics for QML is given in terms of quantum circuits, while a denotational semantics is presented in terms of superoperators, and these are shown to agree. Note that the dump operation is different from measurement, since it does not influence the state of the quantum machine and can be realized only using a simulator. A project developed by Microsoft[17] as part of the .NET Framework. There are two main groups of quantum programming languages: imperative quantum programming languages and functional quantum programming languages. The most important feature of QCL is the support for user-defined operators and functions. Since the qcl interpreter uses qlib simulation library, it is possible to observe the internal state of the quantum machine during execution of the quantum program. [33][34], Silq is a high-level programming language for quantum computing with a strong static type system, developed at ETH Zürich. [51], Quipper was published in 2013. The language runs on the startup’s proprietary Quantum Orchestration Platform. | [52][53] It is implemented as an embedded language, using Haskell as the host language. [12] Quantum circuits are created and manipulated using Python, Swift or Java. Quantum programming languages help express quantum algorithms using high-level constructs.[1]. In principle, an algorithm is a "recipe" for solving a problem; a programming language describes the algorithm so that a computer can perform the necessary calculations. The QCL standard library provides standard quantum operators used in quantum algorithms such as: The basic built-in quantum data type in QCL is the qureg (quantum register). QFC and QPL are two closely related quantum programming languages defined by Peter Selinger. Or even look at Quipper, a functional Quantum programming language. 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. [49] Selinger gives a denotational semantics for these languages in a category of superoperators. Quantum lambda calculi are extensions of the classical lambda calculus introduced by Alonzo Church and Stephen Cole Kleene in the 1930s. Quantum Computation Language (QCL) is one of the first implemented quantum programming languages. QML is a Haskell-like quantum programming language by Altenkirch and Grattage. Integrate your quantum development with Visual Studio, Visual Studio Code, and Jupyter Notebooks. ϕ [1] The most important feature of QCL is the support for user-defined operators and functions. Duplication in this context is understood to be the operation that maps Written mostly in the Python programming language, it enables users to formulate problems in Ising Model and Quadratic Unconstrained Binary Optimization formats (QUBO). Results are obtained using simulators that run on the user's own device. [11] Results are obtained either using a simulator, or by sending jobs to IBM quantum devices. The computation process is executed using a provided simulator. T. Altenkirch, V. Belavkin, J. Grattage, A. It can be interpreted as an array of qubits (quantum bits). Q Language is the second implemented imperative quantum programming language. QML also introduces both classical and quantum control operators, whereas most other languages rely on classical control. Quantum Computation Language (QCL) is one of the first implemented quantum programming languages. Current quantum languages are somewhat similar to assembly languages in their expressiveness, as the programmer must provide every operation the computer is to perform.