Table 1 Hyper-parameter of our model optimization
From: Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways
Parameters | Range | Role |
|---|---|---|
Number of Qubits | 11 | Sampler for \(2^{11} = 2048\) genes |
\(\varvec{\alpha }\) | \([-2\pi , 2\pi ]\) | \(\varvec{R}_X\) rotation |
\(\varvec{\beta }\) | \([-2\pi , 2\pi ]\) | \(\varvec{R}_Y\) rotation |
\(\epsilon\) | \([\pi /96,\pi /24]\) | Standard Deviation of Model Weight |
\(\tau\) | [0.5, 0.7] | Threshold Value |
\(\text {temp}\) | \([1/10^3, 2\times 10^{3}]\) | SoftMax Temperature |