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Fix minor typo #255

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merged 3 commits into from
Apr 19, 2024
Merged

Fix minor typo #255

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56f7918
[minor] fix dead link
01110011011101010110010001101111 Mar 24, 2024
c8a1ab6
[minor] add missing dependencies
01110011011101010110010001101111 Mar 24, 2024
b7aa9f2
Fix minor typo
singular-value Mar 28, 2024
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -55,7 +55,7 @@ Simulate quantum computations on classical hardware using PyTorch. It supports s
Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, quantum neural networks.
#### Differences from Qiskit/Pennylane

Dynamic computation graph, automatic gradient computation, fast GPU support, batch model tersorized processing.
Dynamic computation graph, automatic gradient computation, fast GPU support, batch model tensorized processing.

## News
- v0.1.8 Available!
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2 changes: 1 addition & 1 deletion examples/README.md
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@@ -1,6 +1,6 @@
## TorchQuantum Examples

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

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

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2 changes: 2 additions & 0 deletions requirements.txt
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Expand Up @@ -10,6 +10,8 @@ pylatexenc>=2.10
pyscf>=2.0.1
qiskit>=0.39.0,<1.0.0
recommonmark
qiskit_ibm_runtime==0.20.0
qiskit-aer==0.13.3

scipy>=1.5.2
setuptools>=52.0.0
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