Package evaluation to test Qecsim on Julia 1.14.0-DEV.2114 (cccbcd9611*) started at 2026-05-05T11:00:46.333 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.63s ################################################################################ # Installation # Installing Qecsim... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [e6c2bad3] + Qecsim v0.1.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [861a8166] + Combinatorics v1.1.0 [34da2185] + Compat v4.18.1 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [ffbed154] + DocStringExtensions v0.9.5 [92d709cd] + IrrationalConstants v0.2.6 ⌅ [682c06a0] + JSON v0.21.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.1 [69de0a69] + Parsers v2.8.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [e6c2bad3] + Qecsim v0.1.0 [189a3867] + Reexport v1.2.2 [a2af1166] + SortingAlgorithms v1.2.2 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [4536629a] + OpenBLAS_jll v0.3.33+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+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 To see why use `status --outdated -m` Installation completed after 4.83s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 3.8 s ✓ Qecsim 1 dependency successfully precompiled in 5 seconds. 37 already precompiled. Precompilation completed after 29.79s ################################################################################ # Testing # Testing Qecsim Status `/tmp/jl_brTtj7/Project.toml` [861a8166] Combinatorics v1.1.0 ⌅ [682c06a0] JSON v0.21.4 [e6c2bad3] Qecsim v0.1.0 [189a3867] Reexport v1.2.2 [1bc83da4] SafeTestsets v0.1.0 [10745b16] Statistics v1.11.1 ⌅ [2913bbd2] StatsBase v0.33.21 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_brTtj7/Manifest.toml` [861a8166] Combinatorics v1.1.0 [34da2185] Compat v4.18.1 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [ffbed154] DocStringExtensions v0.9.5 [92d709cd] IrrationalConstants v0.2.6 ⌅ [682c06a0] JSON v0.21.4 [2ab3a3ac] LogExpFunctions v0.3.29 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.1 [69de0a69] Parsers v2.8.4 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [e6c2bad3] Qecsim v0.1.0 [189a3867] Reexport v1.2.2 [1bc83da4] SafeTestsets v0.1.0 [a2af1166] SortingAlgorithms v1.2.2 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.1+0 [4536629a] OpenBLAS_jll v0.3.33+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [8e850b90] libblastrampoline_jll v5.15.0+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(0xcf3da2cfca53d9d28eb1957e76c6dcc1, 0x471543a41dd2183ab533b7e2d4b0753a) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9196310000000053, :time_steps => 1, :n_logical_commutations => [213, 216], :error_weight_total => 1213, :wall_time => 0.518365244, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24259999999999998, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 682, :logical_failure_rate => 0.318, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 318, :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(0xa48d93725fbc80259cf2bbd3098967c5, 0x012b010de27ee512784dbc3c97db16ca) [ 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 => 0.000270348, :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(0xbe02761f36b0a5bbd4c35dcef6fbd507, 0x5c7ea1b5050cda5c8c484f956fd35842) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.41, :time_steps => 1, :n_logical_commutations => [5, 3], :error_weight_total => 17, :wall_time => 0.000542624, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.33999999999999997, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 4, :logical_failure_rate => 0.6, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 6, :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(0x28b75de1d05897a5b27dd9529f3305be, 0x3e7c94a7a713eb01295355bd965aeee1) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.64, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 8, :wall_time => 0.000385856, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.32, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 3, :logical_failure_rate => 0.4, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 5) ┌ 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(0x77a850476973144cba524717428e92fe, 0x56335f0445aba890d4fe161eb9028c8d) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.22222222222222224, :time_steps => 1, :n_logical_commutations => [3, 1], :error_weight_total => 7, :wall_time => 0.000328207, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.4666666666666666, :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 => 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 = 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(0x8753b0838d003c86899199e22207266a, 0x57de06a9ecf4bbf15c24aed345fc4a91) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9354840000000055, :time_steps => 1, :n_logical_commutations => [242, 216], :error_weight_total => 1246, :wall_time => 0.026743326, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24919999999999998, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 653, :logical_failure_rate => 0.347, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 347, :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(0x942ad42fb0e6c3555266557a792f8027, 0xfa39457c0085a0a9d886822527faf07b) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 4, :wall_time => 0.000229227, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.8, :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(0x25c9b47e6007300a82c76a36dca12326, 0x75172bc2eafeb03d4185630e123152ef) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8099999999999999, :time_steps => 1, :n_logical_commutations => [4, 1], :error_weight_total => 13, :wall_time => 0.000429776, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.26, :measurement_error_probability => 0.0, :error_probability => 0.25, :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 = 0.25 │ random_seed = nothing │ max_runs = nothing └ max_failures = 2 [ Info: qec_run: rng=Random.MersenneTwister(0xaf24a629d47ca07c8d756515799fcd4b, 0xbd75c5729ff160ad97e9afb4ad2c7707) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6666666666666666, :time_steps => 1, :n_logical_commutations => [2, 0], :error_weight_total => 6, :wall_time => 0.000312867, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.19999999999999998, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 4, :logical_failure_rate => 0.3333333333333333, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :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 = 10 └ max_failures = 3 [ Info: qec_run: rng=Random.MersenneTwister(0xaa441fe22e879f60def30df7974c1991, 0x6141695e972e26f75f7b41df1c815e83) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.0, :time_steps => 1, :n_logical_commutations => [3, 1], :error_weight_total => 12, :wall_time => 0.000358726, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.3, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 5, :logical_failure_rate => 0.375, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :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 = 0.1 │ random_seed = 13 │ max_runs = 1000 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x5410db514147269f83c92808266cc643, 0x74d52d3dced48953f77713e0f592ff81) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.022973411, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1032, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 908, :logical_failure_rate => 0.092, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 92, :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(0x5410db514147269f83c92808266cc643, 0x74d52d3dced48953f77713e0f592ff81) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4977440000000004, :time_steps => 1, :n_logical_commutations => [60, 63], :error_weight_total => 516, :wall_time => 0.020448496, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1032, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 908, :logical_failure_rate => 0.092, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 92, :n_run => 1000) ┌ Info: qec_run: starting │ code = Main.var"##App.jl#154"._DuckCode() │ error_model = Main.var"##App.jl#154"._DuckErrorModel() │ decoder = Main.var"##App.jl#154"._DuckDecoder() │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x344e2cd19ddeb06f3f34257bab3bb342, 0x4235eaddb221a06f31c7e6f14816b258) [ 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 => 0.000526455, :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#154"._DuckCode() │ error_model = Main.var"##App.jl#154"._DuckErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x0a5b8f38b6cb8f4dac37a68a30137bbd, 0x268155a5cd8c17254a421207c4a7a27e) [ 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 => 0.000584044, :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#154"._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(0xd6295750424bb6af1f936c9d7d9339ff, 0x980e980c74d563b3e357a8333353e0b7) [ 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 => 0.000755193, :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 => "duck", :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 = Main.var"##App.jl#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x0e1b69bd3bc4b1a5a9c19e1479eb64a0, 0x0adf04309f55f58ef0bb47c59674cc2a) [ 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 => 0.000198288, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x608950003400b57c51bce1371e4f4d84, 0xe6db5f9dac9d3a9785dec66ea4c9710c) [ 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 => 0.000171959, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x9a52b21701e8b61530910c6b59a4e823, 0x1ed40a5634aa9cc0695727a1e4ecbacc) [ 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 => 0.000115129, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0xb982089b3f5ea8876cd987a635d7bfd0, 0xa4901e5a080f91dfa64b8f31c096b3fa) [ 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 => 0.000269707, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x19ff259a4f3cd6d44189006928f8826a, 0xc13c28fba2e04b0731b2f204f42e7673) [ 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 => 0.000199308, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x39aee72ea34258c7ded0690a6e2240a5, 0x6db6e3ff279f53b31bc4271ceb03abca) [ 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 => 0.000194308, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x045d79d742b82e0764bc01d4cc8ff9b6, 0x6456180e8f4bc9265ac64b37da058b91) [ 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 => 0.071961566, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x9c606f11d17f11d75d9bf7ed1666f136, 0x5f5653b43d085b48fdf20d41e46e0700) [ 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 => 0.000222458, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0xa2fb67ffd3c1549b931e43fcc6eab6ac, 0x250393779da41a2d014a3f81a12fd43f) [ 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 => 0.432503441, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x936473e75e1ec405d49a3ac9d6c738e7, 0x6938c15e43dc98a88d9685042900bd20) [ 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 => 0.48405824, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._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(0x13ec75103415371d1001302932ee02e0, 0x86f2103225f933b6e15d9d75e3a6e0f6) [ 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 => 0.43251637, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Int64}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{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))) │ p = 0.1 │ random_seed = nothing │ max_runs = 12 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xdb04031dcc99d91a599399d4fe8eb613, 0xa537fe4d734d12e3892c05f85eeb5a13) [ 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 => 0.080148429, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, 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))) │ p = 0.1 │ random_seed = nothing │ max_runs = 2 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x42cc3292c43ffc7c76dd43d1673cc607, 0x4c95414f39410fbb42942ff19aa2f488) [ 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 => 0.605703124, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, 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))) │ p = 0.1 │ random_seed = nothing │ max_runs = 2 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xf4062bea9a515a5b5e6ffed7d135d717, 0x67b04befabcbd0059087b2547fbddb27) [ 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 => 0.21891041, :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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Nothing}, 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))) │ p = 0.1 │ random_seed = nothing │ max_runs = 5 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x767d9f71c8478c59f7beb669dd4b79b8, 0xe10c85485c0081e55a4ac089c595cf05) ┌ 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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Nothing}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Nothing}, 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))) │ p = 0.1 │ random_seed = nothing │ max_runs = 5 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xf7f19f8b9fe87c6cc4b76efe77092ca8, 0x7973bfbe016338ce84b6189a020a438a) ┌ 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#154"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult, 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))) │ p = 0.1 │ random_seed = nothing │ max_runs = 5 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x0c4179cb7668c94140cf59448efc6017, 0xdbd01bb10ca53d29977f52a245128911) ┌ 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(0x5baf4f3ec91b6ad365815d4fdaf72390, 0x0e62f5e6299adaeb76d13750b73f5f93) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.89, :time_steps => 1, :n_logical_commutations => [3, 1], :error_weight_total => 11, :wall_time => 0.000458765, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.22000000000000003, :measurement_error_probability => 0.0, :error_probability => 0.2, :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 = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xe2da09b7a020242980bace4006ea755b, 0xe1c6c1244074f5995c6982faca4d7621) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.5599999999999999, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 8, :wall_time => 0.000437516, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.16, :measurement_error_probability => 0.0, :error_probability => 0.2, :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(0x3315db08362bca6887c10548dd5b6fc8, 0xd317cb610a1087c11fea275827bc9248) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8900000000000002, :time_steps => 1, :n_logical_commutations => [3, 3], :error_weight_total => 9, :wall_time => 0.000481735, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.18, :measurement_error_probability => 0.0, :error_probability => 0.1, :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 = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x57c797eca39b63b499810f2fdb5ecf8f, 0x041d9dd1e653663a3bc63f0816516e4b) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.0400000000000003, :time_steps => 1, :n_logical_commutations => [3, 2], :error_weight_total => 14, :wall_time => 0.000433856, :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 => 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.BitFlipErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x605403287cab2e0d55d71c8ef31f8e65, 0x8fe24d78508aa8a3f7a9f6063fb895c4) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.89, :time_steps => 1, :n_logical_commutations => [2, 2], :error_weight_total => 9, :wall_time => 0.022412757, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.18, :measurement_error_probability => 0.0, :error_probability => 0.1, :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 = Main.var"##App.jl#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, 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))) │ p = 0.2 │ random_seed = nothing │ max_runs = 3 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x99ab189c7c5d9f0a954c1a291562a32a, 0x1e51ca519674476231b1848ead9dc8ef) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 3, :wall_time => 0.035188386, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.19999999999999998, :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#154"._CycleDecoder(Base.Iterators.Stateful{Base.Iterators.Cycle{Vector{Qecsim.Model.DecodeResult{Vector{Any}}}}, Union{Nothing, Tuple{Qecsim.Model.DecodeResult{Vector{Any}}, 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))) │ p = 0.2 │ random_seed = nothing │ max_runs = 3 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x7c356ae49a112f5b53354a88c14f42c2, 0x2fdaf871f88b8a0e15611131d97c84fa) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.5555555555555554, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 8, :wall_time => 0.000294227, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.5333333333333333, :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(0xbdff919845fa27980b16b6b50334a0f7, 0x2e6582166c21881f8a550625bead57e2) [ 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 => 0.000418506, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.04, :measurement_error_probability => 0.0, :error_probability => 0.08, :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 = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xf67d57d3fa606ed7f3ae9d667a542083, 0xe3858905fbc36fc07d4469fc25fb6ea1) [ 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 => 0.000401336, :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(0xbe8fe5bb8af68a944f059bff5f5438aa, 0x96b221ef7404c99ae9cd782269556ec7) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.40999999999999986, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 3, :wall_time => 0.000402876, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.06, :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) ┌ Error: Recovered data: [{"error_weight_pvar":0.40999999999999986},{"time_steps":1},{"n_logical_commutations":[1,0]},{"error_weight_total":3},{"wall_time":0.000402876},{"n_k_d":[5,1,3]},{"error_model":"Bit-flip"},{"physical_error_rate":0.06},{"measurement_error_probability":0.0},{"error_probability":0.1},{"n_success":9},{"logical_failure_rate":0.1},{"custom_totals":null},{"code":"5-qubit"},{"decoder":"Naive"},{"n_fail":1},{"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(0xf151b597eb6493df0a640044c3d17b2a, 0x71f318249e1487cfcd937657a4d7ed06) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.5600000000000002, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 8, :wall_time => 0.000460095, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.16, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 8, :logical_failure_rate => 0.2, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 10) Test Summary: | Pass Total Time Qecsim.jl | 241 241 1m20.6s error.jl | 3 3 3.1s PauliTools.jl | 43 43 9.2s Model.jl | 21 21 3.9s models/BasicModels.jl | 13 13 0.6s models/GenericModels/simpleerrormodel.jl | 44 44 11.1s models/GenericModels/naivedecoder.jl | 16 16 2.9s App.jl | 101 101 49.7s Testing Qecsim tests passed Testing completed after 87.97s PkgEval succeeded after 155.73s