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Finalize algorithms module #170

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merged 2 commits into from
Jun 12, 2024
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@Zhaoyilunnn Zhaoyilunnn commented Jun 7, 2024

  • consistently use Parameter and grad_para_shift() in algorithms
  • support QNN training
    • circuit parameters from previous layer
    • circuit also have its own parameters
      • transform qnn to torch module and support parameters() api, which only return the tunable parameters within QNN (exclude parameters for data encoding)
      • when execute qnn, pass the whole parameter vector instead.

@lss0208 lss0208 self-requested a review June 11, 2024 06:55
@Zhaoyilunnn Zhaoyilunnn changed the title (WIP) Finalize algorithms module Finalize algorithms module Jun 12, 2024
@Zhaoyilunnn Zhaoyilunnn merged commit bd11f41 into ScQ-Cloud:master Jun 12, 2024
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