Package evaluation to test Qecsim on Julia 1.14.0-DEV.1877 (00654c1407*) started at 2026-03-10T14:51:01.329 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.6s ################################################################################ # 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 v2.8.3 [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 v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+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 To see why use `status --outdated -m` Installation completed after 4.62s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 3928.3 ms ✓ Qecsim 1 dependency successfully precompiled in 4 seconds. 37 already precompiled. Precompilation completed after 27.05s ################################################################################ # Testing # Testing Qecsim Status `/tmp/jl_FRPwIJ/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_FRPwIJ/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 v2.8.3 [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 v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.30+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(0x9dcf6f42b39f9be8cf2d1365e255bd34, 0xf940126331491de4a6eea2fbc87920aa) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8798310000000016, :time_steps => 1, :n_logical_commutations => [215, 222], :error_weight_total => 1263, :wall_time => 0.478046117, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2526, :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(0xd6510627aabd55f2a8c695e09aaeaf1a, 0x81059e22d0eb5268f05e588a46e7fec6) [ 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 => 0.000240708, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.0, :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(0x6f6a35e5711f01694aec2b86af6d4fb3, 0xbc80aa3cf27865980b70fab7bb40e8b1) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.4, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 10, :wall_time => 0.000417486, :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 => 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 = 0.25 │ random_seed = nothing │ max_runs = nothing └ max_failures = 2 [ Info: qec_run: rng=Random.MersenneTwister(0x4bea497e3e5c737e411edab306b5124b, 0xcf029b27ed1079865d2324b9b7464a30) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.43786982248520706, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 11, :wall_time => 0.000498485, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.16923076923076924, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 11, :logical_failure_rate => 0.15384615384615385, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 2, :n_run => 13) ┌ 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(0x462cdda26648b600a5793414dddca3e7, 0x9dfefadea4f817a6dc15a953f65dc8f7) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.2, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 10, :wall_time => 0.000561784, :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 => 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 = 0.25 │ random_seed = nothing │ max_runs = 1000 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x86d67817b94e9a077e0d3ea511f86848, 0x104f6208b915be8e5f95a3bf9e2bc43a) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9321760000000069, :time_steps => 1, :n_logical_commutations => [243, 219], :error_weight_total => 1268, :wall_time => 0.024675028, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2536, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 651, :logical_failure_rate => 0.349, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 349, :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(0x3e70c6dcf08863fc21c7f259e6353b39, 0x115917ea7537116a13cd2774da2abed3) [ 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 => 0.000183598, :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(0x22f5e8afd3656ddc88a4dac0628867c1, 0x2be5adc85de034adb8d260ac95b271a5) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.7600000000000001, :time_steps => 1, :n_logical_commutations => [2, 3], :error_weight_total => 8, :wall_time => 0.000380147, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.16, :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(0xe922d6a50246add9a16fec3b2b661ea2, 0x2200f7dbe66926b41135385571f10549) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 7, :wall_time => 0.000245457, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.27999999999999997, :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(0x4ffa85141773cb190ff39b68ddb0d02e, 0x1226554a182a5e26defccc3730aadc23) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6666666666666666, :time_steps => 1, :n_logical_commutations => [3, 0], :error_weight_total => 9, :wall_time => 0.270905336, :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 => 6, :logical_failure_rate => 0.3333333333333333, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 3, :n_run => 9) ┌ 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 => 0.018631938, :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 => 0.01935369, :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#153"._DuckCode() │ error_model = Main.var"##App.jl#153"._DuckErrorModel() │ decoder = Main.var"##App.jl#153"._DuckDecoder() │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x7b132bb206f5d8ad920d359409ea4fd3, 0x320ada0d81c769f031835041ac635d8c) [ 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 => 0.000505735, :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#153"._DuckCode() │ error_model = Main.var"##App.jl#153"._DuckErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xcffc7c32f3fb657fd2606cab95ad385a, 0xe4187154d502062b90e4964758697d36) [ 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 => 0.000623234, :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#153"._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(0x651cc6dd49a71c1dc054a16b830afc24, 0xfb6081afbad9b97d1dc769af63b7e89f) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.25, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 5, :wall_time => 0.001104619, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.1, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xbc80e7dc13b89ad5c01cf8a00780752d, 0xc69cb968a72c8593d608f2bd2de8754e) [ 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 => 0.000231988, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x9eb8d826145f3fd787bb8436cd724563, 0x304e8b2d591f0d8dbf0c9d888e30dac1) [ 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 => 0.000224828, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xb6c085a6629bba65cf5cb67b07950f34, 0x34a4b95ef85fe58db27969b495b26c19) [ 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 => 0.000223218, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x61c2762818bb367704c871b4cd22784e, 0x7d2f122f93869ad9c6c7eb576137ad2b) [ 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 => 0.000294907, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x3e79a2a2e8a801a1a31da6e4607cab0d, 0x02db39ceb5f55589b7a79e3e383a18be) [ 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 => 0.000237978, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x28f1ec104f4c8dbf98aae898dd035ec2, 0xe073d9f629d77af0597722f535ba793e) [ 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 => 0.000218877, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xedf951b5caaa01e08979834c5a17f376, 0x02972e0442eb3d6e693a26da4a8223e2) [ 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 => 0.091241446, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xa74285f340af470c2f73ddde509e36af, 0x42c04705743c8d78f7a50a8bd824f8f6) [ 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 => 0.000293227, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x301e20c2b14151331a0c887879cfb204, 0xffc16ff305bb7668cad344266a36e3ef) [ 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 => 0.564862114, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xcc5cca95126a8d81e9b154b1c1164e4d, 0xb58bfefc73ba77a668df398de38f4d2d) [ 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 => 0.570697257, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x9fb5a2608324b3ef9e2c44ddf8ec2e1e, 0xbfbe6b81ade474a8c442c8bcb23742fc) [ 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 => 0.509367967, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xbbdd2c88b03d56d199b78254c764341a, 0x3a66ad9e85b95aec046b2dd9dd238e2b) [ 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 => 0.083921577, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xba95f86fb552e3af0037b63bf774598c, 0xbcd7101740acec4b089798eb7ec541ca) [ 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 => 0.632579629, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x962631645665930077db6230b0a55f1e, 0x65d8a39dc29a3e0a0766e9dc5ffbe46a) [ 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 => 0.264738285, :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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0x4fd39646d957e227b904efbdf3bcbf1e, 0x94d2660f71d451b889d7fe32c792daa2) ┌ 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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xadda64e9e936b89fe898b3e92823890d, 0x97eaf09871f2d001f7341b70495de7c7) ┌ 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#153"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#153"._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(0xf574060d53e0134dfe99b9370e767c89, 0x1e8c509050cc0da4ad27a0ab73f5d16b) ┌ 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(0xf18ae62b034f04a214ad9261100daf2f, 0xdef419fd832d570917fd183e60608d71) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6400000000000001, :time_steps => 1, :n_logical_commutations => [4, 2], :error_weight_total => 14, :wall_time => 0.000450185, :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.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x29ba43ea3eca456f05c18c47648471c2, 0x15c05702c69bffa60f3cded96d0d5870) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.16, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 12, :wall_time => 0.000428566, :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 => 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 = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x55cd27deb5bc29a33e07f1114817c036, 0x53c8c7b80c7fb3f4c9fc2c35f2aa929d) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.20999999999999996, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 3, :wall_time => 0.000412496, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.06, :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 = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xd26b7072595d53a6a41550f47dddabd4, 0xcbbe931485513d2665e65ebd2349de34) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.43999999999999995, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 6, :wall_time => 0.000363946, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.12, :measurement_error_probability => 0.0, :error_probability => 0.2, :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(0xf1defc9c0371f1e3b468827c8761ffb6, 0xf535c6a71d323c5e39f12bd712e6c41b) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.21000000000000002, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 3, :wall_time => 0.019261611, :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 => 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#153"._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(0x11e924acaeec9b52e9cee5ab4c8794c1, 0x5258753f122a6ff6cd8cf5eb57552cc6) [ 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 => 0.033950868, :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#153"._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(0x36d2aca93e1ce590337106df27096483, 0x93fa18ac16ec1eb904b68591f24cab72) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.2222222222222222, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 4, :wall_time => 0.000298447, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.26666666666666666, :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(0x66f74edc0717e9ea2dd89020ca514372, 0xac4b2867381f0c8bf3450c3b646a1469) [ 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 => 0.000520185, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.12, :measurement_error_probability => 0.0, :error_probability => 0.08, :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 = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x0ade25ccf03f2ae1daad6f6b34e9b23e, 0xfb702461004f02acdbdac27d1f55aaf4) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.4400000000000001, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 4, :wall_time => 0.000455766, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.08, :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(0xc02f619b326b8dfd234a57d9de3f3774, 0x0b3d2ae45c5b6c89146398c52d7e841d) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.25, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 5, :wall_time => 0.000565644, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.1, :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":0.25},{"time_steps":1},{"n_logical_commutations":[0,0]},{"error_weight_total":5},{"wall_time":0.000565644},{"n_k_d":[5,1,3]},{"error_model":"Bit-flip"},{"physical_error_rate":0.1},{"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(0x886a2f6ea2dbf1dd2eeb47ea027e8c97, 0xfe7d0c9f51e11f38386846ce427e5115) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.21000000000000002, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 3, :wall_time => 0.000581024, :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 => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10) Test Summary: | Pass Total Time Qecsim.jl | 241 241 1m26.6s error.jl | 3 3 4.1s PauliTools.jl | 43 43 13.4s Model.jl | 21 21 3.5s models/BasicModels.jl | 13 13 0.6s models/GenericModels/simpleerrormodel.jl | 44 44 10.8s models/GenericModels/naivedecoder.jl | 16 16 2.9s App.jl | 101 101 51.0s Testing Qecsim tests passed Testing completed after 95.44s PkgEval succeeded after 151.57s