QfeatQ

Quantum feature aQuisition framework

Usage

Create Experiments from Example Experiments

• Use experiments in examples folder

Create Experiments from Basic Simulation Templates:

• Use simulation & observable templates in templates folder
• 4 options: (local measurements or global measurements) and (stabilizer representation or matrix/array representation)

Create Experiments from Scratch:

• Create Custom experiments/simulations/tests with core framework.
• Minimal Experiment Controller file:

  using LinearAlgebra
  using Statistics
  using HDF5
  using JLD
  
  #Import framework:
  include("QfeatQ.jl")
  
  function mainExperimentController(system_size, subsystem_dim, number_of_measurements,  observableFile="observables.txt")
  
      QfeatQ.initialize(system_size, subsystem_dim)
      
      #Generate states to simulate on:
      tableauStateMemory = QfeatQ.state_generation_Controller("rp-stab", system_size, subsystem_dim, "systemState.txt")
      
      #Create a measurement_procedure: Randomized : GLOBAL
      cliffMeasScheme = QfeatQ.create_data_acquisition_scheme_Controller("rc", number_of_measurements, system_size,subsystem_dim, observableFile, false)
  
      #Measure based on GLOBAL measurement scheme:
      cliffordOutcomes = QfeatQ.measurement_Controller("clifford-eff-global", true, system_size,subsystem_dim, cliffMeasScheme, tableauStateMemory)
      
      #Post-process (classical shadows) the measurement outcomes & Predict observables
      #Observable Predictions
      
      predictions = round.(QfeatQ.observable_prediction_Controller("cShadowClifford-stab", "lo", system_size, subsystem_dim, observableFile, cliffordOutcomes, cliffMeasScheme) ,digits=10)
  
      trueExpectations = QfeatQ.observable_prediction_Controller("truthPauli", "o-eff", system_size,subsystem_dim, observableFile, nothing, cliffMeasScheme, stateCopy)
  
  
      error = abs.(predictions .- trueExpectations)
      return convert(Array{Float64, 1},predictions), convert(Array{Float64, 1},truePredictionArray), convert(Array{Float64, 1}, error)
  end
  
  mainExperimentController(3, 4, 400, string("observables.txt"))
  

• Basic Observable file:

  [system_size] [subsystem_dim]
  [Real Weight] [Imag. Weight] [Phase (Power)] [qn1]|X[xp1]Z[zp1] [qn2]|X[xp2]Z[zp2] ........
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  .
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  .

Based on https://github.com/momohuang/predicting-quantum-properties