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Merge pull request #189 from GenericP3rson/patch-5
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Minor Update to README
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Hanrui-Wang authored Sep 2, 2023
2 parents 728592d + 810c4fe commit 519b04a
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12 changes: 6 additions & 6 deletions README.md
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Expand Up @@ -165,11 +165,11 @@ print(tq.measure(x, n_shots=2048))

We also prepare many example and tutorials using TorchQuantum.

For **beginning level**, you may check [QNN for MNIST](examples/simple_mnist), [Quantum Convolution (Quanvolution)](examples/quanvolution) and [Quantum Kernel Method](examples/quantum_kernel_method), and [Quantum Regression](examples/regression).
For **beginning level**, you may check [QNN for MNIST](examples/mnist), [Quantum Convolution (Quanvolution)](examples/quanvolution) and [Quantum Kernel Method](examples/quantum_kernel_method), and [Quantum Regression](examples/regression).

For **intermediate level**, you may check [Amplitude Encoding for MNIST](examples/amplitude_encoding_mnist), [Clifford gate QNN](examples/clifford_qnn), [Save and Load QNN models](examples/save_load_example), [PauliSum Operation](examples/PauliSumOp), [How to convert tq to Qiskit](examples/converter_tq_qiskit).

For **expert**, you may check [Parameter Shift on-chip Training](examples/param_shift_onchip_training), [VQA Gradient Pruning](examples/gradient_pruning), [VQE](examples/simple_vqe), [VQA for State Prepration](examples/train_state_prep), [QAOA (Quantum Approximate Optimization Algorithm)](examples/qaoa).
For **expert**, you may check [Parameter Shift on-chip Training](examples/param_shift_onchip_training), [VQA Gradient Pruning](examples/gradient_pruning), [VQE](examples/vqe), [VQA for State Prepration](examples/train_state_prep), [QAOA (Quantum Approximate Optimization Algorithm)](examples/qaoa).


## Usage
Expand Down Expand Up @@ -238,8 +238,8 @@ Train a quantum circuit to perform VQE task.
Quito quantum computer as in [simple_vqe.py](./examples/simple_vqe/simple_vqe.py)
script:
```python
cd examples/simple_vqe
python simple_vqe.py
cd examples/vqe
python vqe.py
```

## MNIST Example
Expand All @@ -248,8 +248,8 @@ Train a quantum circuit to perform MNIST classification task and deploy on the r
Quito quantum computer as in [mnist_example.py](./examples/simple_mnist/mnist_example_no_binding.py)
script:
```python
cd examples/simple_mnist
python mnist_example.py
cd examples/mnist
python mnist.py
```

## Files
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