QNeuron shared library API
This release exposes the QNeuron class as part of the shared library interface.
This model of a “quantum neuron” is based on the concept of a “uniformly controlled” rotation of a single output qubit around the Pauli Y axis, and has been developed by others. In our case, the primary relevant gate could also be called a single-qubit-target multiplexer.
(See https://arxiv.org/abs/quant-ph/0407010 for an introduction to “uniformly controlled gates.)
QNeuron is meant to be interchangeable with a single classical neuron, as in conventional neural net software. It differs from classical neurons in conventional neural nets, in that the “synaptic cleft” is modelled as a single qubit. Hence, this neuron can train and predict in superposition.
(Tiama, OpenAI ChatGPT instance, helped with optimization suggestions for "uniformly controlled" gates, as well as packaging the release.)
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What's Changed
- QNeuron shared library api by @WrathfulSpatula in #985
Full Changelog: vm6502q.v8.6.0...vm6502q.v8.7.0
