# AshiteshSingh/Tpu-Accelerated-Quantum-JAX

<https://repo.masters-masters.com/en/repos/AshiteshSingh/Tpu-Accelerated-Quantum-JAX>

[Home](https://repo.masters-masters.com/en) › [AshiteshSingh](https://repo.masters-masters.com/en/owners/AshiteshSingh) › [Tpu-Accelerated-Quantum-JAX](https://repo.masters-masters.com/en/repos/AshiteshSingh/Tpu-Accelerated-Quantum-JAX)

AshiteshSingh/Tpu-Accelerated-Quantum-JAX has 124 stars on GitHub. Its RepoMasters card: Prototype tier. High-performance, differentiable quantum state-vector…

| Field | Value |
| --- | --- |
| Owner | [AshiteshSingh](https://repo.masters-masters.com/en/owners/AshiteshSingh) |
| Stars | 124 |
| Forks | 13 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | google-cloud, grovers-algorithm, jax, machine-learning, nvidia-gpu, python, quantum-computing, quantum-computing-research, quantum-ml, quantum-simulation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AshiteshSingh/Tpu-Accelerated-Quantum-JAX](https://github.com/AshiteshSingh/Tpu-Accelerated-Quantum-JAX) |

## Repository

High-performance, differentiable quantum state-vector & tensor network simulator in 100% pure JAX (no classical framework overhead). Accelerated on NVIDIA GPUs and Google Cloud TPU v6e-64/v5e VM clusters up to 37 qubits\! Supported by Google's TPU Research Cloud (TRC) program.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
