Superstaq Description
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.
Superstaq 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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QC Ware Forge
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.
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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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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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Integrations
Company Details
Company:
Infleqtion
Year Founded:
2007
Headquarters:
United States
Website:
www.infleqtion.com/superstaq
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Product Details
Platforms
SaaS
Type of Training
Documentation
Videos
Customer Support
Online
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