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Fix MeasureMulti*PauliSum #288

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merged 3 commits into from
Nov 18, 2024
Merged

Fix MeasureMulti*PauliSum #288

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611cc2a
Update README.md
Hanrui-Wang Jul 11, 2024
a69808e
Fix MeasureMulti*PauliSum
yannick-couzinie Nov 12, 2024
46aa4e0
Use numpy<2
yannick-couzinie Nov 12, 2024
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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -58,6 +58,11 @@ Researchers on quantum algorithm design, parameterized quantum circuit training,
Dynamic computation graph, automatic gradient computation, fast GPU support, batch model tersorized processing.

## News
- Torchquantum is used in the winning team for ACM Quantum Computing for Drug Discovery Challenge.
- Torchquantum is highlighted in [UnitaryHack](https://unitaryhack.dev/projects/torchquantum/).
- TorchQuantum received [UnitaryFund](https://unitary.fund/).
- TorchQuantum is integrated to [IBM Qiskit Ecosystem](https://qiskit.github.io/ecosystem/).
- TorchQuantum is integrated to [PyTorch Ecosystem](https://pytorch.org/ecosystem/).
- v0.1.8 Available!
- Check the [dev branch](https://github.com/mit-han-lab/torchquantum/tree/dev) for new latest features on quantum layers and quantum algorithms.
- Join our [Slack](https://join.slack.com/t/torchquantum/shared_invite/zt-1ghuf283a-OtP4mCPJREd~367VX~TaQQ) for real time support!
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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -2,7 +2,7 @@
dill==0.3.4
matplotlib>=3.3.2
nbsphinx
numpy>=1.19.2
numpy>=1.19.2,<2

opt_einsum
pathos>=0.2.7
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7 changes: 4 additions & 3 deletions torchquantum/measurement/measurements.py
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Expand Up @@ -424,7 +424,7 @@ def __init__(self, obs_list, v_c_reg_mapping=None):
)

def forward(self, qdev: tq.QuantumDevice):
res_all = self.measure_multiple_times(qdev)
res_all = self.measure_multiple_times(qdev).prod(-1)

return res_all.sum(-1)

Expand Down Expand Up @@ -452,8 +452,9 @@ def __init__(self, obs_list, v_c_reg_mapping=None):
)

def forward(self, qdev: tq.QuantumDevice):
res_all = self.measure_multiple_times(qdev)
return (res_all * self.obs_list[0]["coefficient"]).sum(-1)
res_all = self.measure_multiple_times(qdev).prod(-1)

return (res_all * torch.tensor(self.obs_list[0]["coefficient"])).sum(-1)


if __name__ == '__main__':
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