Showing 2 open source projects for "quantum python"

View related business solutions
  • Cut Data Warehouse Costs up to 54% with BigQuery Icon
    Cut Data Warehouse Costs up to 54% with BigQuery

    Migrate from Snowflake, Databricks, or Redshift with free migration tools. Exabyte scale without the Exabyte price.

    BigQuery delivers up to 54% lower TCO than cloud alternatives. Migrate from legacy or competing warehouses using free BigQuery Migration Service with automated SQL translation. Get serverless scale with no infrastructure to manage, compressed storage, and flexible pricing—pay per query or commit for deeper discounts. New customers get $300 in free credit.
    Try BigQuery Free
  • Deploy Apps in Seconds with Cloud Run Icon
    Deploy Apps in Seconds with Cloud Run

    Host and run your applications without the need to manage infrastructure. Scales up from and down to zero automatically.

    Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
    Try Cloud Run Free
  • 1
    DeepChem

    DeepChem

    Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, etc

    DeepChem aims to provide a high-quality open-source toolchain that democratizes the use of deep learning in drug discovery, materials science, quantum chemistry, and biology. DeepChem currently supports Python 3.7 through 3.9 and requires these packages on any condition. DeepChem has a number of "soft" requirements. If you face some errors like ImportError: This class requires XXXX, you may need to install some packages. Deepchem provides support for TensorFlow, PyTorch, JAX and each requires an individual pip Installation. ...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    ALAMODE

    ALAMODE

    Ab initio simulator for thermal transport and lattice anharmonicity

    ALAMODE is designed for analyzing lattice anharmonicity and lattice thermal conductivity of solids. By using an external DFT package such as VASP and Quantum ESPRESSO, you can extract harmonic and anharmonic force constants straightforwardly with ALAMODE. Using the anharmonic force constants, you can also calculate lattice thermal conductivity from first principles. For more information about ALAMODE, please visit the following webpages: Documentation :...
    Leader badge
    Downloads: 4 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB