Qiskit Description
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.
Qiskit Alternatives
LIQUi|>
> 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.
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Google Cirq
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.
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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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Amazon Braket
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.
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Company Details
Company:
Qiskit
Headquarters:
United States
Website:
qiskit.org
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Online
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