Alternatives to Silq

> is a software architecture and tool suite for quantum computing. It includes a programming langage, optimization and scheduling algorithm, and quantum simulations. > can be used to translate a quantum algorithm written in the form of a high-level program into the low-level machine instructions for a quantum device. > is being developed by the quantum architectures and computation Group (QuArC) at Microsoft Research. >. > allows the simulation of Hamiltonians, quantum circuits, quantum stabilizer circuits, and quantum noise models, and supports client, service, and cloud operation.

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

Developers and enterprises have the ability to build Quantum-resistant smart contracts, DApps or DeFi solutions, tokens, and tokens on top of QAN's blockchain platform in any programming language. QANplatform is the first Hyperpolyglot Smart-Contract platform that allows developers to code in any programming language. Developers also get rewarded for writing code that can be reused by others. Quantum is a real threat. Existing chains cannot defend against it. QAN is resistant to it from the ground up, so your future funds will be safe. Quantum-resistant algorithms, also known as post quantum, quantum-secure, and quantum-safe, are cryptographic algorithms that can withstand attacks from quantum computers. Quantum-resistant cryptographic algorithms, also known as quantum-secure, post-quantum, or quantum-safe, can withstand attacks from quantum computers.

Cellframe Network is an open-source platform that allows for the creation and bridging of blockchains and services. It is secured by post-quantum encryption. We provide a platform for developers and enterprises to build a wide range of products, from low-level t -dApps to complex blockchains. We believe mass adoption is the next paradigm in blockchain technology and our platform aims to expand the number of applications. Cellframe can offer extremely high transaction throughput due to its original sharding implementation. Post-quantum cryptography also makes it resistant to hacking by quantum computer, which are very close to being invented. Cellframe, based on the original sharding implementation can provide high transaction throughput.

D is a general-purpose programming languages with static typing, system-level access and C-like syntax. The D Programming Language allows you to write fast, read fast and run fast. D is possible thanks to the dedication and hard work of many volunteers and the coordination and outreach by the D Language Foundation, which is a 501(c),(3) non-profit organization. Support the Foundation to help develop the D language and grow our community. You can discuss D on the forums, join IRC channel, read the official Blog, and follow us on Twitter. You can browse the wiki to see the vision and high-level goals of the D Language Foundation. Refer to the Phobos documentation and the language specification. The DMD manual explains how to use the compiler. To deepen your understanding, you can read various articles.

Circuit can be exported into multiple quantum programming languages/frameworks, and can be run on different simulators and quantum computer. Drag & Drop user interface allows you to assemble circuit diagrams that automatically translate to code. You can also type code to update the diagram. QPS Client runs on your local machine or in the cloud where your quantum programming environment has been installed. It opens a websocket secure connection with Quantum Programming Studio Server and executes quantum networks (that you designed in the web interface) on your local simulation or on a quantum computer.

Scala combines object-oriented programming with functional programming in a single, concise language. Scala's static type system helps avoid bugs in complex applications. Its JavaScript and JVM runtimes allow you to build high-performance systems and have easy access to large libraries. Scala is intelligent about static types. You don't usually need to tell Scala what the types of your variables are. Instead, it will use its powerful type inference to figure them out. Scala uses case classes to represent structural data types. They implicitly equip the class using meaningful toString, equals, and hashCode methods. They also have the ability to be deconstructed using pattern matching. Scala functions are values. They can be described as anonymous functions using a concise syntax.

Work with different types quantum computers and circuit simulators using a consistent tool set. Build quantum projects in a trusted cloud, with simple pricing and management control for both quantum workloads and classical workloads. With priority access to quantum computing and no classical infrastructure required, hybrid quantum-classical algorithm development is faster. Braket Direct allows you to reserve dedicated device access, and communicate directly with quantum computing experts. AWS Cloud Credit for Research Program provides tools for algorithm development, as well as support for scientific discovery. Access to superconducting devices, neutral atom and trapped ion devices, will allow you to push the limits of quantum hardware research. Amazon Braket's Software Development Kit, simple pricing and workflow management will help you bring software for quantum computing quickly to market.

The computer language was designed to program embedded and real-time applications. It is now available for development on Windows, DOS, as well as Unix variants that include macOS. Cross-compilers for Forth, which are commercially available, produce highly optimized code that runs on a variety microprocessors. They also prove themselves to be very adept in custom-hardware environments. Forth is a high level programming language. However, most versions include an assembly language. Software tools are often included in fourth-system providers to allow application code to make the most of system resources. Forth is interactive. It allows you to develop modular, well-tested code in a shorter time frame. It can also lead to very concise code. Programmers aren't used to languages that are concise, direct, and (apparently) simple. Forth is known for its speed of development, lean code and outstanding performance.

Scheme is a general-purpose programming language for computers. It is a high level language that supports operations on structured data like strings, lists, vectors, and numbers, as well as operations with more traditional data like numbers and characters. Although Scheme is often associated with symbolic applications, it has a rich set of data types that can be used to create complex control structures and a wide range of other data types. Scheme can be used to create text editors, optimize compilers and graphics packages, expert system, numerical applications, financial analysis programs, virtual reality systems, as well as operating systems, graphics, expert systems, operating systems, graphics, expert systems, operating systems, graphic packages, optimization systems, programming languages, and other types of applications. Because it is based only on a few syntactic forms, semantic concepts, and because most implementations are interactive, Scheme is easy to learn. It is difficult to fully understand Scheme.

You can use the latest cloud tools and resources to refine and build quantum algorithms. Access a diverse range of quantum hardware. Access a wide range of quantum hardware today to help you build towards fault-tolerant quantum systems. Microsoft Learn, Quantum Katas tutorials and industry case studies are among the world-class resources that can help you navigate complexity and learn new skills. Azure Quantum resource estimator can be used to estimate the number and size of qubits required to run quantum applications on future-scaled computers. Calculate the number of qubits required for a quantum solution, and compare the differences between qubit technologies. Prepare and refine quantum solution to run on future-scaled machines.

BASIC (Beginners' All Purpose Symbolic Instruction Code) is a group of high-level, general-purpose programming languages that are designed to be easy to use. BASIC was initially designed to support simple mathematical operations. Matrix arithmetic was supported from its first implementation as a batch-language, and character strings were added in 1965. BASIC was born out of a larger movement towards time-sharing. Some dialects of BASIC support matrices and matrix-based operations that can be used to solve a set of simultaneous linear algebraic problems. These dialects directly supported matrix operations like assignment, addition, multiplicand (of compatible matrix types) and evaluation of a determinate. In the 1990s, BASIC's popularity declined as more powerful computers were introduced and advanced programming languages (such as Pascal or C) were made available.

Quantum computing is a promising way to develop new molecules and materials quickly and at a low cost. InQuanto is a cutting-edge quantum computational chemistry platform that represents a crucial step towards this goal. Quantum chemistry is used to accurately predict and describe the fundamental properties of matter. It is therefore a powerful tool for the design and development new molecules and materials. However, industrially relevant molecules and materials are complex and difficult to accurately simulate. The current capabilities force a trade either to use highly accurate methods for the smallest systems or to use approximating technologies. InQuanto’s modular workflow allows both computational chemists, and quantum algorithm developers, to easily mix and combine the latest quantum algorithms and advanced subroutines with error mitigation techniques.

Superstaq's device-specific, low-level optimizations allow users to get the best performance from today's hardware in multiple qubit modalities. Qiskit and Cirq are open-source frontends that allow users to submit their work to leading quantum hardware platforms such as IBM, Infleqtion OQC, Rigetti and more. Use our pre-built quantum applications library to benchmark performance on "impossible problems" with quantum hardware. Superstaq's library includes sophisticated noise mitigation and compilation techniques, including dynamical decoupling. These techniques optimize quantum programs automatically based on the hardware's native gates. Superstaq allows you to write quantum code that targets virtually any quantum computer, whether it's Cirq.

Qiskit comes with a complete set of quantum gates, as well as a variety pre-built circuits. This allows users of all levels to use Qiskit in research and application development. The transpiler converts Qiskit code to an optimized circuit using the native gate set of a backend, allowing users program for any quantum processor. Users can transpile using Qiskit's standard optimization, a custom configuration, or their own plugin. Qiskit allows users to schedule and run quantum programs using a variety local simulators or cloud-based quantum processors. It supports a variety of quantum hardware designs such as superconducting ions and trapped qubits. Are you ready to discover Qiskit for yourself? Learn how to run Qiskit on your local Python environment or in the cloud.

Experience the world's only quantum-computing-hardened encryption keys, ensuring provably superior protection and allowing you to seamlessly strengthen your existing cybersecurity systems for enhanced security today, and into the future. Every organization has sensitive data that needs to be kept secret. Quantum Origin gives your organization a long-term advantage against cyber criminals by adding unmatched cryptographic power to existing cybersecurity systems. To maintain the trust of your customers, shareholders and regulators, you must adapt and strengthen your cybersecurity foundations. Quantum Origin demonstrates your commitment to stay ahead of potential threats. Quantum Origin verifiably enhances the cryptographic security around your technology and service, proving that you take privacy and security as seriously as your customers. Let your customers feel secure knowing that their data is protected with the latest in cryptographic protection.

Quandela Cloud has a wide range functionalities. Perceval is our photonic quantum computing platform. Perceval uses Python as its programming language, so coding on Quandela QPUs is easy. You can also use a variety of unique algorithms that are already implemented, including those for solving PDEs, clustering, generating random numbers, solving logistics problems, computing properties, etc. Then, the specifications and status of Quandela QPUs will be displayed. You can select the one you want, run the job and monitor its progress on the interface for job monitoring.

It is based upon a complete representation for the qubit state, but avoids the explicit representation in terms of matrices of gates and other quantum operation. Intel-QS uses the MPI (message-passing-interface) protocol to handle communication between the distributed resources used to store and manipulate quantum states. Intel-QS is built as a library that, when linked to an application program, allows the user to benefit from the high-performance implementations of circuit simulations. The library can run on a wide range of systems, including laptops and HPC server systems.

Vala is a programming language that uses modern high-level abstractions and does not impose additional runtime requirements. Vala can be used in many other situations where native binaries are needed. More. GNOME Discourse is available for general discussion and developer discussions. For questions and discussions with developers, you can also join the Vala Matrix channel. Vala is a cross-platform development tool that includes third party distributions that provide binaries for Windows, macOS Linux, BSDs, and other platforms.

Odin is a general purpose programming language that supports data-oriented programming and modern systems. Odin is the C alternative to the Joy of Programming. Odin was designed to be easy to read, scalable, and orthogonal. Simple is easier to do right than complicated, but clear is better than clever. Odin provides the best performance by providing low-level control over memory layout, memory management, custom allocators, and many other features. Odin was built from the ground up to be compatible with modern computers. It also supports array programming and SOA data types. Programming is a passion that we love solving problems. Programming should bring us joy, so why shouldn't it? Programming with Odin is fun again!

In addition to the design of quantum computers, the development of useful algorithms for quantum computing is a major focus. In the absence a large quantum computer, a software simulation of quantum computers is needed to simulate the execution and study of quantum algorithms. The QX simulator is able to simulate a realistic noisy execution by using different error models, such as depolarizing noise. The user can select the error model, and then define a physical probability of error to simulate a target quantum computer. This error rate can also be defined by the gate fidelity of the target platform and the qubit decoherence.

TLA+ is an advanced language for modeling systems and programs, especially those that are concurrent and distributed. It is based on the notion that simple mathematics are the best way to describe something precisely. TLA+'s tools can help eliminate fundamental design errors that are difficult to detect and costly to fix in code.

PureScript is an entirely functional, strongly-typed programming language that compiles JavaScript. It allows developers to create robust web applications, mobile apps, and web servers using functional programming techniques. PureScript has features like algebraic data types and pattern matching. It also offers row polymorphism. The language emphasizes pure functions and strong static typing to ensure code reliability and maintainability. Developers can compile PureScript into readable JavaScript to facilitate seamless integration with existing JavaScript codes. The ecosystem includes a large collection of libraries, excellent tools, and editor support, including instant rebuilds. A vibrant community offers a variety of learning resources including the PureScript book which provides practical projects for beginners.

OQC's Quantum Computer is a complete unit that includes the control system, hardware, and software. It is the only commercially available quantum computer in the UK. OQC's Quantum Computing-as-a-Service (QCaaS) platform takes our proprietary quantum technology to the wider market through a private cloud. Register your interest for access to our QCaaS. We work closely with leading technical and strategic partners to ensure that our technology is at heart of the quantum revolution.

Use our suite applications to support your research and development needs. Copy your API token to track jobs and view quantum computing resources. Explore the service and API documentation for IBM Quantum resources.

SystemC is your online resource for all things related to SystemC. It is the language for system-level, high-level synthesis and modeling, as well as verification. SystemC™, addresses the need to have a system design language and verification language that can be used with both hardware and software. It is a language that was built in standard C++ and extended by the use of class libraries. It is used to model the system's partitioning, evaluate and verify the assignment blocks to hardware or software implementations, as well as to architect and measure interactions between functional blocks. SystemC is used by leading companies in the electronic design automation (EDA), semiconductor and embedded software industries for architectural exploration. It can deliver high-performance blocks at different levels of abstraction and create virtual platforms for hardware/software collaboration.

Prolog is a logic language that is associated with artificial intelligence (AI) and computational linguistics. Prolog's roots are in first-order formal logic. Unlike many other programming languages Prolog is primarily intended as a declarative language. The program logic is expressed as relations, represented by facts and rules. The computation is started by running a query on these relations. Prolog is one of the earliest logic programming languages. It remains the most popular today, with many free and commercial implementations. The language is used for natural language processing, theorem-proving, expert systems and term rewriting. Modern Prolog environments allow for the creation of graphical interfaces as well as administrative applications and networked applications.

We are focused on helping customers realize real value through quantum computing applications for business. You may be surprised to find out that our enterprise customers already have hundreds of quantum applications in many industries. The combination of the Advantage™, quantum system, and Leap™, hybrid solver services enables the first quantum applications in production that demonstrate business benefits. D-Wave, the practical quantum computing company, delivers real business value today for manufacturing, logistics and supply chain, scheduling and mobility applications. Quantum computing has already helped optimize many key components of the value chain for Industry 4.0.

Experience the possibilities of quantum computing by running your own quantum algorithms using our simulators and hardware backends. Spin-2 is being upgraded at the moment and is not available. We have a variety of simulators and real hardware available. See what they can offer you. Quantum Inspire was built with the best engineering practices. A layered and modular design was created starting with experimental setups to create a robust and solid hardware system. This quantum computer is made up of several layers, including quantum chip hardware and classical control electronics. It also includes a quantum compiler as well as a software front end with a cloud accessible web interface. They can act as technology accelerations because only by carefully analyzing the individual system layers and interdependencies is it possible to detect gaps and the necessary next steps on the innovation roadmap and supply chains.

We enable everyone to create faster, think bigger, and see farther. Our quantum solutions, which combine AI and machine-learning, give you the ability to solve the most pressing and important problems in the world. Thermodynamics was the catalyst for the Industrial Revolution. Quantum computers use the unique information processing capabilities of quantum mechanics, which were introduced by electromagnetism, to reduce time and energy required for high-impact computing. Quantum computing, the first paradigm-shifting advancement since the integrated circuit was introduced, is poised transform every global market. The gap between early adopters and fast followers is difficult to close.

Erlang is a programming language that allows you to create highly scalable soft real time systems. It also requires high availability. It is used in e-commerce and instant messaging, banking, telephony, and telecoms. Erlang's runtime system supports concurrency distribution and fault tolerance. OTP is a set of Erlang libraries, design principles, and middleware that allows you to develop these systems. It also includes a distributed database, applications that can interface with other languages, and debugging, as well as release handling tools.

Bayesforge™ is a Linux image that curates all the best open source software available for data scientists who need advanced analytical tools as well as quantum computing and computational math practitioners who want to work with QC frameworks. The image combines open source software such as D-Wave and Rigetti, IBM Quantum Experience, Google's new quantum computer language Cirq and other advanced QC Frameworks. Qubiter, our quantum compiler and fog modeling framework can be cross-compiled to all major architectures. The Jupyter WebUI makes all software accessible. Its modular architecture allows users to code in Python R and Octave.

Cython, an optimizing static compiler, is available for both the Python programming languages and the extended Cython programming languages (based on Pyrex). It makes it as easy to write Python extensions using C. Cython combines the power of Python with C, allowing you to write Python code that calls back to C or C++ natively at any time. Static type declarations can be used to convert readable Python code into plain C performance. Combine source code level debugging to identify bugs in Python, Cython and C code. Large data sets can be interacted with efficiently, e.g. Multi-dimensional NumPy arrays. You can quickly build your applications in the mature, well-used CPython ecosystem. The Cython language, which is a superset Python language, supports calling C functions as well as declaring C types on variables or class attributes.

Apache Groovy, a powerful, optionally-typed, dynamic language for Java, with static-typing capabilities and static compilation capabilities. It is designed to improve developer productivity through a simple, easy to understand syntax. It seamlessly integrates with any Java program and delivers powerful features to your application, including scripting capabilities and Domain-Specific Language authoring, runtime, compile-time metaprogramming and functional programming. It is easy to understand for Java developers thanks to its concise, readable, and expressive syntax. Closures, builders and runtime & compiler-time meta-programming. Functional programming, type inference and static compilation. Advanced integration & customization mechanisms, flexible syntax, and customizable syntax allow you to integrate readable business requirements into your applications. This is a great tool for writing concise, manageable tests and automating all your build and automation tasks.

Solidity is an ethereum-compatible programming language with curly braces that uses a statically typed syntax. Solidity is still a relatively new language. It is growing at a rapid pace. We aim to release a regular release (non-breaking release) every month with an average of one breaking release per calendar year. You can track the implementation status of the new features by visiting the Solidity Github Project. By switching from the default branch ("develop") to the "breaking branch", you can see what changes are coming for the next breaking release. Solidity can be actively shaped by your input and participation in the language design.

Assembly language is a low level computer programming language that can be used to control the hardware of a computer. It is composed of symbols and words that are specific instructions for the processor. Assembly language is used to optimize programs written using higher-level languages. It can be more efficient to access memory and other resources.

Mature and complete async await for user interfaces that contain event-driven code, paired together with isolate-based concurrency. A programming language that is optimized for creating user interfaces. It includes sound null safety, spread operator for expanding collections, as well as collection if you want to customize the UI for each platform. A flexible type system that allows for rich static analysis and powerful, configurable programming tools lets you write code. JavaScript compilers that are mature and fast for the web can be used to target the web. Backend code that supports your app is written in a single programming language. This collection isn't exhaustive. It's a quick introduction to the language for those who like to learn by doing. You might also like to visit the Dart cheatsheet codelab or language and library tours.

It is dynamic, while offering a programming model that supports efficient machine code generation. This includes fine-grained control of dynamic and static behaviors. This document describes the Open Dylan implementation, including a core set Dylan libraries and a library interchange mechanism. The core libraries include many language extensions, a threads interface and object finalization and printing and output formatting module. There are also modules that provide an interface to operating system features like the file system, time, date information, and foreign function interfaces.

Crystal's syntax is heavily inspired from Ruby's. It feels natural to read, easy to write, with the added benefit that it requires less learning curve for Ruby devs. Crystal is statically type-checked so errors in type will be caught before they reach runtime. Crystal also has type inference built-in, which means that most type annotations are unnecessary. Crystal makes all types non-nilable. The available variables are represented by a union of the type and null. The compiler will check for null references during compile time. Crystal's solution to metaprogramming is a powerful macro-system that covers everything from types inspection and basic templating to types inspection and running arbitrary programs.

ZenScript was created from MineTweaker, where a simple language was needed to allow users to execute simple commands without any programming knowledge by following the tutorials. MineTweaker originally had a one-line scripting system that was parsed, but it became apparent that it wasn't flexible. A simple parsed language, therefore, was created. This parsed language was quite efficient but inefficient because each value was wrapped up into its own object. ZenScript supports mixed typed and non-typed behavior. The compile will infer types where possible, and exhibit typeless behaviour when the type is effectively unknowable. In almost all cases, the type can be determined and the execution is performed at native Java speed. Types can be enforced and documented since they exist.

C# (also pronounced "See Sharp"), is a modern, object oriented and type-safe programming language. C# allows developers to create many types of secure, robust applications that run in.NET. C# is rooted in the C family languages and will be familiar to JavaScript, C++, Java and JavaScript programmers. This tour will give you an overview of the main components of C# 8 or earlier. C# is an object-oriented and component-oriented programming language. C# supports these concepts directly with language constructs. This makes C# an easy language to create and use software components. C# has been evolving over time to support new software design practices and workloads. C# is an object-oriented programming language. You can define types and their behavior.

Eclipse Ceylon is a language that allows you to write large programs in teams. Before you start the tour, take a 15-minute introduction to Eclipse Ceylon. It is best to download the IDE to get started and then write some code. You can then explore the modules in Ceylon Herd. You can also do it online. This is a community project. All of our work is open source. Eclipse Ceylon's powerful flow sensitive static type system is able to catch many bugs and allow you to express more easily: union and intersect types, tuples function types, mixin inheritance and reified generics. We spend more time reading code from others than we do writing our own. Eclipse Ceylon places a high value on readability. It supports treelike structures and elegant syntax sugar when appropriate.

Nim is a statically-typed compiled systems programming languages. It combines the best concepts of mature languages such as Ada, Python, and Modula. Nim generates native dependencies-free executables that are not dependent on a virtual computer. They are small and can be redistributed easily. Nim's memory management, which is deterministic and customizable, has destructors and moves semantics that are inspired by C++/Rust. It is well-suited to embedded, hard-realtime applications. Modern concepts such as zero-overhead iterators, compile-time evaluations of user-defined functions, and the preference for value-based datatypes on the stack make code extremely performant. It supports multiple backends: it can compile to C, C++, JavaScript so that Nim is available for all frontend and backend needs.

Fortran was designed from the ground up to support computationally intensive applications in engineering and science. You can write code that runs fast and close to the metal with mature and battle-tested libraries and compilers. Fortran is statically and heavily typed. This allows the compiler to catch programming errors early. This allows the compiler generate efficient binary code. Fortran is a small language that is easy to learn and use. It is easy to express most mathematical and arithmetic operations on large arrays by simply writing them out on a whiteboard. Fortran is a natively parallel programming languages that uses intuitive array-like syntax to exchange data between CPUs. It is possible to run almost identical code on one CPU, on a shared memory multicore system or on a distributed-memory HPC system or cloud-based system.

Pine Script® is TradingView’s programming language. It allows traders to build their own trading tools, and run them on TradingView's servers. Pine Script®, a lightweight but powerful language, is designed to allow you to create indicators and strategies for backtesting. Pine Script® is used to create most of TradingView's indicators. Our thriving community has created more than 100,000 scripts. Our goal is to make Pine Script®, as accessible and understandable as possible for the widest audience. Pine Script®, being cloud-based, is different from client-side languages. Pine Script®, while not a full-fledged programming language, is constantly improved and we are always open to new feature requests. We must set limits because each script uses computing resources in the cloud.

Clojure is a robust and practical programming language that is fast and easy to use. It also has a number of useful features that make it a powerful, simple, and coherent tool. Clojure is a dynamic programming language that can be used for general purposes. It combines the simplicity and interactivity of a scripting language and an efficient and robust infrastructure to support multithreaded programming. Clojure can be compiled, but it is completely dynamic. All features supported by Clojure are supported at runtime. Clojure has easy access to Java frameworks. It also supports type hints, type inference, and optional type hints. This allows Java calls to avoid reflection. Clojure is a dialect Lisp and shares the code-as data philosophy and powerful macro system. Clojure is a functional programming language that features a rich array of persistent, immutable data structures. Clojure provides a software transactional memory and reactive agent system for mutable states.

NoSQL, a domain-specific programming language, is used to access, manage, and manipulate non-tabular database data.

Common Lisp, a modern multi-paradigm, high performance, compiled, ANSI standard, most prominent (alongside Scheme) descendant from the long-running Lisp family of programming languages, is the modern, multiparadigm, high performing, compiled, ANSI standardized, most prominent (alongside Scheme). Common Lisp is well-known for its flexibility, excellent support for object-oriented programming, and rapid prototyping capabilities. Common Lisp also features a powerful macro system that allows for you to tailor the language to your applications. It also has a flexible runtime environment that allows modification of running programs and debugging (excellent for server-side programming and critical software). It supports multiple paradigms, so you can choose the right approach for your application.

Ada is a state of the art programming language that developers around the world use to create critical software. This includes microkernels, small-footprint embedded systems, large-scale enterprise applications and everything in between. Why Ada? Ada is used because it allows you to write reliable, efficient code and save time. Ada is unique in that it allows you to detect and eliminate bugs as early in the software development cycle as possible, when they are most cost-effective to fix. Ada is able to help you create software that is reliable and safe without sacrificing performance, as demonstrated by many successful applications that have been fielded. Ada is a modern language that provides all the technical features you would expect from a modern language. Support for multicore and concurrent programming.

The new generation Pascal programming language combines classic Pascal's simplicity with many modern extensions and the wide-ranging capabilities of Microsoft.NET Framework. IDE that is free, simple, and powerful. Built-in form designer allows for rapid development Windows desktop applications. Get the latest version PascalABC.NET with a built-in form designer. There are many extensions to the Pascal language: the foreach operator and in-block variable definitions. Auto type deduction in variable declarations. Simplified syntax of units. A new operator for object construction. Anonymous classes, auto-classes. BigIntegers. Modern programming language features include n-dimensional dynamic arrays and generics, interfaces. Operator overloading, exceptions. garbage collection, and lambda statements. IDE that integrates debugger, IntelliSense, code templates, auto-formatting, and code templates.