AI RESEARCH
Minimizing classical resources in variational measurement-based quantum computation for generative modeling
arXiv CS.AI
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ArXi:2604.11578v1 Announce Type: cross Measurement-based quantum computation (MBQC) is a framework for quantum information processing in which a computational task is carried out through one-qubit measurements on a highly entangled resource state. Due to the indeterminacy of the outcomes of a quantum measurement, the random outcomes of these operations, if not corrected, yield a variational quantum channel family. Traditionally, this randomness is corrected through classical processing in order to ensure deterministic unitary computations.