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Ace-TN: GPU-Accelerated Corner-Transfer-Matrix Renormalization of Infinite Projected Entangled-Pair States
by Addison D. S. Richards, Erik S. Sørensen
Submission summary
| Authors (as registered SciPost users): | Addison Richards |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2503.13900v1 (pdf) |
| Code repository: | https://github.com/ace-tn/ace-tn |
| Code version: | 0.1 |
| Code license: | Apache-2.0 |
| Data repository: | https://github.com/ace-tn/data |
| Date submitted: | 2025-03-20 23:32 |
| Submitted by: | Richards, Addison |
| Submitted to: | SciPost Physics Codebases |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approach: | Computational |
Abstract
The infinite projected entangled-pair state (iPEPS) ansatz is a powerful tensor-network approximation of an infinite two-dimensional quantum many-body state. Tensor-based calculations are particularly well-suited to utilize the high parallel efficiency of modern GPUs. We present Ace-TN, a modular and easily extendable open-source library developed to address the current need for an iPEPS framework focused on GPU acceleration. We demonstrate the advantage of using GPUs for the core iPEPS simulation methods and present a simple parallelization scheme for efficient multi-GPU execution. The latest distribution of Ace-TN can be obtained at https://github.com/ace-tn/ace-tn.
Current status:
In refereeing