LIQUi|> Description
> 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.
LIQUi|> Alternatives
Qiskit
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.
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Superstaq
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.
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QX Simulator
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.
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TensorFlow
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.
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Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
www.microsoft.com/en-us/research/project/language-integrated-quantum-operations-liqui/
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