Package evaluation of Qecsim on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T07:00:25.843 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 4.86s ################################################################################ # Installation # Installing Qecsim... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [e6c2bad3] + Qecsim v0.1.0 Updating `~/.julia/environments/v1.10/Manifest.toml` [861a8166] + Combinatorics v1.0.2 [34da2185] + Compat v4.16.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.20 [ffbed154] + DocStringExtensions v0.9.3 [92d709cd] + IrrationalConstants v0.2.4 [682c06a0] + JSON v0.21.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.0 [69de0a69] + Parsers v2.8.1 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [e6c2bad3] + Qecsim v0.1.0 [189a3867] + Reexport v1.2.2 [a2af1166] + SortingAlgorithms v1.2.1 [82ae8749] + StatsAPI v1.7.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [b77e0a4c] + InteractiveUtils [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [de0858da] + Printf [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [4536629a] + OpenBLAS_jll v0.3.23+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.04s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 9.99s ################################################################################ # Testing # Testing Qecsim Status `/tmp/jl_6PFHDk/Project.toml` [861a8166] Combinatorics v1.0.2 [682c06a0] JSON v0.21.4 [e6c2bad3] Qecsim v0.1.0 [189a3867] Reexport v1.2.2 [1bc83da4] SafeTestsets v0.1.0 ⌅ [2913bbd2] StatsBase v0.33.21 [37e2e46d] LinearAlgebra [9a3f8284] Random [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_6PFHDk/Manifest.toml` [861a8166] Combinatorics v1.0.2 [34da2185] Compat v4.16.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.20 [ffbed154] DocStringExtensions v0.9.3 [92d709cd] IrrationalConstants v0.2.4 [682c06a0] JSON v0.21.4 [2ab3a3ac] LogExpFunctions v0.3.29 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.0 [69de0a69] Parsers v2.8.1 [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [e6c2bad3] Qecsim v0.1.0 [189a3867] Reexport v1.2.2 [1bc83da4] SafeTestsets v0.1.0 [a2af1166] SortingAlgorithms v1.2.1 [82ae8749] StatsAPI v1.7.0 ⌅ [2913bbd2] StatsBase v0.33.21 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [b77e0a4c] InteractiveUtils [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [de0858da] Printf [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [4536629a] OpenBLAS_jll v0.3.23+4 [bea87d4a] SuiteSparse_jll v7.2.1+1 [8e850b90] libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 1000 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xf6e3bae2ccccdeaa089c4aa2ef1b17cb) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.981100000000003, :time_steps => 1, :n_logical_commutations => [221, 255], :error_weight_total => 1270, :wall_time => 0.359342696, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.254, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 642, :logical_failure_rate => 0.358, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 358, :n_run => 1000) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 1 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x2bc39ac95614bdc0fd0c360bad169be2) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 3, :wall_time => 0.000214178, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.6, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 1) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x1bfcaac92007211753a18d0255d8d16a) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.76, :time_steps => 1, :n_logical_commutations => [3, 1], :error_weight_total => 12, :wall_time => 0.000291367, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 7, :logical_failure_rate => 0.3, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = nothing └ max_failures = 2 [ Info: qec_run: rng=Random.MersenneTwister(0xa02b3b6c7e752b8563d4a88981759e85) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 4, :wall_time => 0.000233518, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.4, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 2) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 10 └ max_failures = 3 [ Info: qec_run: rng=Random.MersenneTwister(0xbdf96712e723ba77d49085ac37f1f96f) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.5555555555555557, :time_steps => 1, :n_logical_commutations => [3, 3], :error_weight_total => 8, :wall_time => 0.000371826, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.26666666666666666, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 3, :logical_failure_rate => 0.5, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 6) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 1000 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xfd8643bd7b1ad7407df0282b0d8deabb) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9053439999999928, :time_steps => 1, :n_logical_commutations => [225, 224], :error_weight_total => 1216, :wall_time => 0.016154787, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2432, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 666, :logical_failure_rate => 0.334, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 334, :n_run => 1000) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 1 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x3c9bc617f1ed1cd63848c663fcb266c6) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 1, :wall_time => 0.000140099, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 1, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 1) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xbf2380e027c7b3246d51a7f505ec445b) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.76, :time_steps => 1, :n_logical_commutations => [3, 1], :error_weight_total => 12, :wall_time => 0.000278368, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 7, :logical_failure_rate => 0.3, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = nothing └ max_failures = 2 [ Info: qec_run: rng=Random.MersenneTwister(0xada3f1fd24fe7ce9e9e9a30877223ab6) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.609375, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 7, :wall_time => 0.000181258, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.175, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 6, :logical_failure_rate => 0.25, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 8) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 10 └ max_failures = 3 [ Info: qec_run: rng=Random.MersenneTwister(0x434189d782d5d582cb48aa99187d06d) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.5, :time_steps => 1, :n_logical_commutations => [1, 3], :error_weight_total => 8, :wall_time => 0.000161388, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.4, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 1, :logical_failure_rate => 0.75, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 4) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = 13 │ max_runs = 1000 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(13) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4836389999999999, :time_steps => 1, :n_logical_commutations => [62, 54], :error_weight_total => 519, :wall_time => 0.013126124, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1038, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 915, :logical_failure_rate => 0.085, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 85, :n_run => 1000) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = 13 │ max_runs = 1000 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(13) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4836389999999999, :time_steps => 1, :n_logical_commutations => [62, 54], :error_weight_total => 519, :wall_time => 0.015050976, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1038, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 915, :logical_failure_rate => 0.085, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 85, :n_run => 1000) ┌ Info: qec_run: starting │ code = Main.var"##App.jl#231"._DuckCode() │ error_model = Main.var"##App.jl#231"._DuckErrorModel() │ decoder = Main.var"##App.jl#231"._DuckDecoder() │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x189770b1b406c428400917db49a8dd6a) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000413577, :n_k_d => (5, 1, 3), :error_model => "duck", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "duck", :decoder => "duck", :n_fail => 0, :n_run => 10) ┌ Info: qec_run: starting │ code = Main.var"##App.jl#231"._DuckCode() │ error_model = Main.var"##App.jl#231"._DuckErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x53684c0718b9ec50c307f2fa9081d26f) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000419066, :n_k_d => (5, 1, 3), :error_model => "duck", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "duck", :decoder => "Naive", :n_fail => 0, :n_run => 10) ┌ Info: qec_run: starting │ code = Main.var"##App.jl#231"._DuckCode() │ error_model = Qecsim.GenericModels.BitFlipErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x287b4bebf5a31bc4680e5e7fe444ab78) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.44000000000000006, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 6, :wall_time => 0.000578395, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.12, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "duck", :decoder => "Naive", :n_fail => 1, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], nothing, nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 1 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xe6adaa33881d51ed26e8e7aeb26e865e) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000233078, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 1, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 0, :n_run => 1) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[1, 1, 1, 1, 1, 0, 0, 0, 0, 0], nothing, nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 2 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xfc6eb92ae8b88e49309a4b13666991b7) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 0, :wall_time => 0.000180428, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 2, :n_run => 2) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[0, 0, 0, 0, 0, 1, 1, 1, 1, 1], nothing, nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 3 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xa1e52241fb735fad89972de67cb67f35) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [3, 0], :error_weight_total => 0, :wall_time => 0.000106069, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 3, :n_run => 3) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], nothing, nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 4 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x5fb767812e7e7bfead440ee2a0cfb532) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 0, :wall_time => 0.000244558, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 4, :n_run => 4) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(nothing, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], Bool[1, 1], nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 5 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x7e86999b3c82e497456589e5bc9bb831) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [5, 5], :error_weight_total => 0, :wall_time => 0.000129579, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 5, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 0, :n_run => 5) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], Bool[1, 1], nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 6 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xd9a15157a5e50557d7da323fb63da359) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [6, 6], :error_weight_total => 0, :wall_time => 0.000128279, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 6, :n_run => 6) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, nothing, nothing, nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 7 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xad526b3d3bae19345d8f678e3d8f17c7) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.015149825, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 7, :n_run => 7) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Nothing}(false, nothing, Bool[1, 1], nothing)) │ p = 0.1 │ random_seed = nothing │ max_runs = 8 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xfbabcdadcce64262a8953548720e5f4b) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [8, 8], :error_weight_total => 0, :wall_time => 0.000213308, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "fixed", :n_fail => 8, :n_run => 8) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Vector{Int64}}(false, nothing, nothing, [1, 1])) │ p = 0.1 │ random_seed = nothing │ max_runs = 9 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xd1cbe611dc3ffed05e74d7a5ddde0220) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.1659246, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => [9, 9], :code => "5-qubit", :decoder => "fixed", :n_fail => 9, :n_run => 9) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Vector{Float64}}(false, nothing, nothing, [1.0, 1.0])) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x17f3a3df714d114a8aa90e379324b888) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.188813977, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => [10.0, 10.0], :code => "5-qubit", :decoder => "fixed", :n_fail => 10, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._FixedDecoder(Qecsim.Model.DecodeResult{Vector{Rational{Int64}}}(false, nothing, nothing, Rational{Int64}[1//2, 1//3])) │ p = 0.1 │ random_seed = nothing │ max_runs = 11 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x32a4e1dfdefffdb6b17a7af6fa4c9fc) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.189951946, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => Rational{Int64}[11//2, 11//3], :code => "5-qubit", :decoder => "fixed", :n_fail => 11, :n_run => 11) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Int64}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Int64}}, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Int64}}}}(Qecsim.Model.DecodeResult{Vector{Int64}}[Qecsim.Model.DecodeResult{Vector{Int64}}(false, nothing, nothing, [1, 1]), Qecsim.Model.DecodeResult{Vector{Int64}}(true, nothing, nothing, [2, 3])]), (Qecsim.Model.DecodeResult{Vector{Int64}}(false, nothing, nothing, [1, 1]), 2), -1)) │ p = 0.1 │ random_seed = nothing │ max_runs = 12 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x58b31426b30b2275a9ab34d9c42d1f85) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.04743321, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 6, :logical_failure_rate => 0.5, :custom_totals => [18, 24], :code => "5-qubit", :decoder => "cycle", :n_fail => 6, :n_run => 12) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1.0]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3.0]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1.0]]), 2), -1)) │ p = 0.1 │ random_seed = nothing │ max_runs = 2 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x9856288c0cfaf17fa44a343b714538c1) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.220873782, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 1, :logical_failure_rate => 0.5, :custom_totals => Any[3, [1.0, 3.0]], :code => "5-qubit", :decoder => "cycle", :n_fail => 1, :n_run => 2) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1 2]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3 4]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1 2]]), 2), -1)) │ p = 0.1 │ random_seed = nothing │ max_runs = 2 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x89a5d85fbc4c32e82e351913fd7d68e1) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 0, :wall_time => 0.095423614, :n_k_d => (5, 1, 3), :error_model => "fixed", :physical_error_rate => 0.0, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 1, :logical_failure_rate => 0.5, :custom_totals => Any[3, [1 2; 3 4]], :code => "5-qubit", :decoder => "cycle", :n_fail => 1, :n_run => 2) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Nothing}, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}(Qecsim.Model.DecodeResult{Nothing}[Qecsim.Model.DecodeResult{Nothing}(true, nothing, nothing, nothing), Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 0], nothing)]), (Qecsim.Model.DecodeResult{Nothing}(true, nothing, nothing, nothing), 2), -1)) │ p = 0.1 │ random_seed = nothing │ max_runs = 5 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x7ac3d614876b620849cf337c9c204e80) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Nothing}, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}(Qecsim.Model.DecodeResult{Nothing}[Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 1, 0], nothing), Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 0], nothing)]), (Qecsim.Model.DecodeResult{Nothing}(true, nothing, Bool[1, 1, 0], nothing), 2), -1)) │ p = 0.1 │ random_seed = nothing │ max_runs = 5 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x499b3b8e5a8b2d242002f0151ed42bb0) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Main.var"##App.jl#231"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult}}(Qecsim.Model.DecodeResult[Qecsim.Model.DecodeResult{Vector{Int64}}(true, nothing, nothing, [1, 0]), Qecsim.Model.DecodeResult{Vector{Float64}}(true, nothing, nothing, [1.1, 0.1])]), (Qecsim.Model.DecodeResult{Vector{Int64}}(true, nothing, nothing, [1, 0]), 2), -1)) │ p = 0.1 │ random_seed = nothing │ max_runs = 5 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x4f17a413b18298fc0dc1e84ebcd506ef) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x72453bf4e168bca74dda114c32887e8c) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24000000000000005, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 4, :wall_time => 0.000424146, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.08, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xb5218aab1661e0126fe6c64669ad4dc2) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.56, :time_steps => 1, :n_logical_commutations => [3, 3], :error_weight_total => 12, :wall_time => 0.000262078, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 6, :logical_failure_rate => 0.4, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 4, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x96c38fd5528c04aed6e5d1df8c1a071c) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.36000000000000004, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 2, :wall_time => 0.000279798, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.04, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xca7c498fea6b06e9e9ec169b46d218a8) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.44000000000000006, :time_steps => 1, :n_logical_commutations => [5, 4], :error_weight_total => 14, :wall_time => 0.000278448, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.27999999999999997, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 5, :logical_failure_rate => 0.5, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 5, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.BitFlipErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xe82de37bec150eebb4f0592fa85c6572) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.16000000000000006, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 2, :wall_time => 0.013431611, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.04, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1]]), 2), -1)) │ p = 0.2 │ random_seed = nothing │ max_runs = 3 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x4db9f112f34fe58b2ac7947ff53c2abe) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.22222222222222224, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 1, :wall_time => 0.025184036, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.06666666666666667, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 1, :logical_failure_rate => 0.6666666666666666, :custom_totals => Any[4, [1, 3, 1]], :code => "5-qubit", :decoder => "cycle", :n_fail => 2, :n_run => 3) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Main.var"##App.jl#231"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, Int64}}, Int64}(Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}(Qecsim.Model.DecodeResult{Vector{Any}}[Qecsim.Model.DecodeResult{Vector{Any}}(false, nothing, nothing, Any[1, [1]]), Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3]])]), (Qecsim.Model.DecodeResult{Vector{Any}}(true, nothing, nothing, Any[2, [3]]), 3), -4)) │ p = 0.2 │ random_seed = nothing │ max_runs = 3 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x4a6df885fc40d4a9e1b3466a3dd74a7) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.22222222222222224, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 2, :wall_time => 0.000203778, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.13333333333333333, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 2, :logical_failure_rate => 0.3333333333333333, :custom_totals => Any[5, [3, 1, 3]], :code => "5-qubit", :decoder => "cycle", :n_fail => 1, :n_run => 3) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.08 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x14b6a56d1f7a7b653a604fe85cbea98d) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.65, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 5, :wall_time => 0.000285538, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1, :measurement_error_probability => 0.0, :error_probability => 0.08, :n_success => 8, :logical_failure_rate => 0.2, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xe5b9450907df61116c40a23d774bad57) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.44000000000000006, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 6, :wall_time => 0.000256067, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.12, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.BitFlipErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x17fc9a034d1490d94ea7666766aca1b6) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24000000000000005, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 4, :wall_time => 0.000374287, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.08, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10) ┌ Error: Recovered data: [{"error_weight_pvar":0.24000000000000005},{"time_steps":1},{"n_logical_commutations":[0,0]},{"error_weight_total":4},{"wall_time":0.000374287},{"n_k_d":[5,1,3]},{"error_model":"Bit-flip"},{"physical_error_rate":0.08},{"measurement_error_probability":0.0},{"error_probability":0.1},{"n_success":10},{"logical_failure_rate":0.0},{"custom_totals":null},{"code":"5-qubit"},{"decoder":"Naive"},{"n_fail":0},{"n_run":10}] └ @ Qecsim.App ~/.julia/packages/Qecsim/e9K2S/src/App.jl:423 ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.BitFlipErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x7e8ed003b390c1aa24708b9a7fd973c7) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.41000000000000003, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 7, :wall_time => 0.000320637, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.13999999999999999, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10) Test Summary: | Pass Total Time Qecsim.jl | 241 241 45.5s error.jl | 3 3 2.4s PauliTools.jl | 43 43 10.3s Model.jl | 21 21 2.2s models/BasicModels.jl | 13 13 0.2s models/GenericModels/simpleerrormodel.jl | 44 44 4.1s models/GenericModels/naivedecoder.jl | 16 16 1.2s App.jl | 101 101 25.0s Testing Qecsim tests passed Testing completed after 48.8s PkgEval succeeded after 76.45s