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mit-han-lab / torchquantum

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A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

machine-learning system deep-learning neural-network quantum pytorch quantum-computing quantum-machine-learning quantum-simulation ml-for-systems pytorch-quantum quantum-neural-network parameterized-quantum-circuit
  • Updated Apr 30, 2024
  • Jupyter Notebook
Peregrine

microsoft / Peregrine

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Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest and analyze query workload telemetry into a common engine-agnostic representation, 2. help developers to quickly build workload optimization applications to reduce overall costs and improve operational efficienc…

big-data workload-optimization ml-for-systems cloud-data-systems
  • Updated Aug 31, 2020
  • Python

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