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INet
PublicQPMeL
PublicQuantum Polar Metric Learning (QPMeL ) that uses a classical model to learn the parameters of the polar form of a qubit. We then utilize a shallow PQC with 𝑅𝑦 and 𝑅𝑧 gates to create the state and a trainable layer of 𝑍𝑍 (𝜃 )-gates to learn entanglementQuIRK-PaperPage
PublicMPSLab-ASU.github.io
PublicQML-Tutorials
PublicGPUKernels
Public.github
PublicAcceleratedQC
PublicDSP_MLIR
PublicLUCI-Page
PublicPaper_Page_Template
Public templatecatalyst-installer
PublicIncidentNet
PublicCrimson_page
PublicDiRAC
PublicnZDC-Compiler
Publicccf
PublicML-Accelerators
PublicCCF-20.04
PublicJobbed
PublicdMazeRunner
PublicdMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable acceleratorstma
PublicRSS-Simulator-for-CAV
PublicUoI
PublicLLVM-r
Publicsmm_frameworks
Publicsmm_gem5
Publicsmm_llvm-3.6.0
PublicgemV
Public