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rigetticomputing avatar

rigetticomputing/grove

0
View on GitHub↗
384 stars·125 forks·Python·Apache-2.0·4 viewsrigetti.com/forest↗

Grove

Quantum algorithms built using pyQuil.

Features

  • Quantum Algorithms - Collection of quantum algorithms built on pyQuil.
  • Quantum Development Frameworks - Collection of quantum algorithms and tools for the Forest framework.

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Open-source alternatives to Grove

Similar open-source projects, ranked by how many features they share with Grove.
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    Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits on physical hardware and simulators. It functions as a quantum algorithm framework, a circuit simulator, and a vendor-agnostic hardware interface for dispatching workloads across diverse providers. The project features a quantum circuit transpiler that optimizes abstract designs to match the specific basis gates and qubit connectivity of target hardware. It employs a pass-based transpilation pipeline and symbolic instruction translation to convert high-level circuits into hard

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  • adgt/qonduitA

    adgt/qonduit

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  • agnostiqhq/covalentAgnostiqHQ avatar

    AgnostiqHQ/covalent

    861View on GitHub↗

    Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

    Python
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  • adgt/pyquirkA

    adgt/pyQuirk

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Frequently asked questions

What does rigetticomputing/grove do?

Quantum algorithms built using pyQuil.

What are the main features of rigetticomputing/grove?

The main features of rigetticomputing/grove are: Quantum Algorithms, Quantum Development Frameworks.

What are some open-source alternatives to rigetticomputing/grove?

Open-source alternatives to rigetticomputing/grove include: qiskit/qiskit — Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits… adgt/qonduit. agnostiqhq/covalent — Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute… artiste-qb-net/quantum-fog. atomistic-machine-learning/dtnn — Deep Tensor Neural Network. adgt/pyquirk.