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Minor update in the supported configurations and tensor network library list

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yangliwei
2024-02-07 16:48:18 +08:00
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README.md
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@@ -8,17 +8,15 @@ Tensor network contractions to:
- dense vectors
- expecation values of given Pauli string
The supported configuration are:
- single node
- multi node with Message Passing Interface (MPI)
- multi node with NVIDIA Collective Communications Library (NCCL)
The supported configurations are:
- single-node CPU
- single-node GPU or GPUs
- multi-node multi-GPU with Message Passing Interface (MPI)
- multi-node multi-GPU with NVIDIA Collective Communications Library (NCCL)
Currently the supported libraries are:
- [cuQuantum](https://github.com/NVIDIA/cuQuantum)
- [quimb](https://quimb.readthedocs.io/en/latest/)
2. Tensornet (TN) with contractions to:
- dense vector (single node)
Currently, the supported tensor network libraries are:
- [cuQuantum](https://github.com/NVIDIA/cuQuantum), an NVIDIA SDK of optimized libraries and tools for accelerating quantum computing workflows.
- [quimb](https://quimb.readthedocs.io/en/latest/), an easy but fast python library for ‘quantum information many-body’ calculations, focusing primarily on tensor networks.
# Sample Codes
## Single Node