Best Quantum Computing Software in the Middle East

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.

Covalent's serverless HPC architecture makes it easy to scale jobs from your laptop to the HPC/Cloud. Covalent is a Pythonic workflow tool that computational scientists, AI/ML program engineers, and anyone who needs to perform experiments on limited or costly computing resources such as HPC clusters and GPU arrays, cloud services, and quantum computers. Covalent allows researchers to run computation tasks on advanced hardware platforms, such as a serverless HPC cluster or quantum computer, using just one line of code. Covalent's latest release includes three major enhancements and two new feature sets. Covalent's modular design allows users to create custom pre-and post-hooks for electrons. This allows them to facilitate a variety of use cases, including setting up remote environments (using DepsPip), and running custom functions.

Data scientists need innovative and efficient turn-key solutions. For quantum engineers, powerful circuit building blocks. Turn-key implementations of algorithms for data scientists, financial analysts, engineers. Explore problems in binary optimization and machine learning on simulators and real hardware. You don't need to have any prior experience in quantum computing. To load classical data into quantum states, use NISQ data loader devices. Circuit building blocks are available for linear algebra with distance estimation or matrix multiplication circuits. You can create your own algorithms using our circuit building blocks. You can get a significant performance boost with D-Wave hardware. Also, the latest gate-based improvements will help you. Quantum data loaders and algorithms offer guaranteed speed-ups in clustering, classification, regression.

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.

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.

We conduct cutting-edge research in artificial intelligence and implement it to give financial investors an advantage. Transforming the financial market through groundbreaking neuro-prediction. Our algorithms combine graph-based learning and deep reinforcement learning algorithms to model and predict time series. Neuri aims to generate synthetic data that mimics the global financial markets and test it with complex simulations. Quantum optimization is the future of supercomputing. Our simulations will be able to exceed the limits of classical supercomputing. Financial markets are dynamic and change over time. We develop AI algorithms that learn and adapt continuously to discover the connections between different financial assets, classes, and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored.

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.

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.

The xx network is the first and only privacy-focused and quantum-resistant blockchain ecosystem. Now available the ultra-secure messaging app, xx messenger. The blockchain of the future is now available. It is the only Layer One protocol that is protected against quantum computing attacks. The first and only messenger app that protects communication between sender & receiver. All messages are encrypted from the beginning to the end, and no metadata is ever gathered. Powered by the xx network. A new digital currency that is easy to use. It is the most secure and easily-useable digital currency currently available. All user activity is kept private by xx messenger. No tracking, profiling, or surveillance. End-to-end encryption is included, of course. Introducing xx messenger. Imagine a world in which no one can read your messages or sell your data. It is low-cost, quantum-ready and metadata-protected. To protect against next-gen threats, a next-gen currency.

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.

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.

Silq, a high-level quantum computing programming language with a robust static type system developed at ETH Zurich, is a new high level programming language. Silq was first published at PLDI '20.

BQSKit is a complete compiling solution that combines the latest partitioning, synthesis and instantiation algorithms. The framework is easy to use and extend, allowing users the flexibility to tailor their workflow to their specific domain. Global circuit optimization is a process that reduces (optimizes) the depth of a quantum program. The depth of a circuit is directly correlated to the runtime of the program and the probability of errors in the final result. BQSKit's unique strategy combines circuit partitioning with synthesis and instantiation in order to optimize circuits beyond the capabilities of traditional optimizing compilers.

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.

> 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.

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.

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.

The Quantum Exact Simulation Toolkit is a high performance simulator of quantum circuits. It also simulates state-vectors, density matrices and density vectors. QuEST uses multithreading and GPU acceleration to run lightning-fast on laptops, desktops, and networked supercomputers. QuEST is a stand-alone program that requires no installation and is easy to compile. QuEST does not require any setup. It can be downloaded, compiled, and run within seconds. QuEST is free of external dependencies, and it compiles natively under Windows, Linux, and MacOS. You can get QuEST to run on almost any device, whether it's a laptop, desktop, supercomputer, microcontroller or cloud.

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.

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.

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.

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.

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.

Cirq is a Python library that allows you to write, manipulate, and optimize quantum circuits. Then, you can run them on quantum simulators and quantum computers. Cirq is a Python software library that provides useful abstractions to deal with noisy intermediate-scale quantum computer systems, where the details of hardware are crucial for achieving state-ofthe-art results. Cirq has built-in simulations for both wave functions and density matrices. These can handle noisy quanta channels using monte-carlo or full matrix simulations. Cirq also works with the state-of-the art wavefunction simulator qsim. These simulators can also be used to simulate quantum hardware using the quantum virtual machines. Cirq is used by Google to run experiments on its quantum processors. You can learn more about the latest experiments, and download the code so you can run them yourself.

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.