Package evaluation to test Qecsim on Julia 1.14.0-DEV.2043 (b936235316*) started at 2026-04-16T19:31:49.791 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.81s ################################################################################ # 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 To see why use `status --outdated -m` Installation completed after 4.74s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 4.7 s ✓ Qecsim 1 dependency successfully precompiled in 5 seconds. 37 already precompiled. Precompilation completed after 31.01s ################################################################################ # Testing # Testing Qecsim Status `/tmp/jl_66pZul/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_66pZul/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(0xd4d34d34b7706160c36f24314eab157b, 0x914e0ca18de31f24f176f37cdbe643d2) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.9849910000000128, :time_steps => 1, :n_logical_commutations => [237, 230], :error_weight_total => 1253, :wall_time => 0.548503083, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.2506, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 647, :logical_failure_rate => 0.353, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 353, :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(0x8068b78dfa5da555558c15d545e76fee, 0x773b282ddf5e0f9f740542e7b2c0543c) [ 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 => 0.000327907, :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(0x19f2284454168069c04655832bdb0aa1, 0xdd7c4d174b1e2d50f9f72c3406b848f8) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.44, :time_steps => 1, :n_logical_commutations => [3, 4], :error_weight_total => 16, :wall_time => 0.000496326, :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 => 5, :logical_failure_rate => 0.5, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 5, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = nothing └ max_failures = 2 [ Info: qec_run: rng=Random.MersenneTwister(0x6a0b000b890822e91c5054b5e6c8650b, 0x92fd98f910b5f4eb5bb240aa44d8e22c) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.36, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 6, :wall_time => 0.000358437, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.24, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 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(0x58b8d8e8ba4c8ef210e3a35b5f9c6ab7, 0xc8a8b5df158021d94fab9ba5db495f08) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.36, :time_steps => 1, :n_logical_commutations => [1, 2], :error_weight_total => 18, :wall_time => 0.000600144, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.36, :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 = 1000 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xb93b66fada48ef4d3e9a6920ab032733, 0x39c696920af356cdf70ef9db5b98a286) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8858999999999949, :time_steps => 1, :n_logical_commutations => [217, 211], :error_weight_total => 1210, :wall_time => 0.027834963, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.242, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 686, :logical_failure_rate => 0.314, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 314, :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(0x842c538d96558788c1eae465d45db0a1, 0xc2b51f63ce64b241cfb8bdee5a1bcf59) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.0, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 3, :wall_time => 0.000212678, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.6, :measurement_error_probability => 0.0, :error_probability => 0.25, :n_success => 0, :logical_failure_rate => 1.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 1) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.25 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xce31f515501e5f36531c6b252dbf0607, 0xdc21061454f9c2acde67e8d80285b7a6) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.04, :time_steps => 1, :n_logical_commutations => [2, 3], :error_weight_total => 14, :wall_time => 0.000488045, :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 => 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(0x89b4f742b6024282b654770b26ad1fdc, 0x4e3913e6fbdff01f3c5768acd0d29f55) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.8, :time_steps => 1, :n_logical_commutations => [2, 1], :error_weight_total => 5, :wall_time => 0.000287958, :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 => 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(0x98e727fece1e5a38f3ad9d407156d1f6, 0x38cdf8963d4051e2c046e5319c6bfd99) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6100000000000001, :time_steps => 1, :n_logical_commutations => [0, 2], :error_weight_total => 7, :wall_time => 0.000406476, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.13999999999999999, :measurement_error_probability => 0.0, :error_probability => 0.25, :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 = 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 => 0.022147315, :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 => 0.022260694, :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#155"._DuckCode() │ error_model = Main.var"##App.jl#155"._DuckErrorModel() │ decoder = Main.var"##App.jl#155"._DuckDecoder() │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x7a056738c71b408fd389ec9fe03dc414, 0xe59252d5e5238ce8814445cac3071db3) [ 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 => 0.000519005, :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#155"._DuckCode() │ error_model = Main.var"##App.jl#155"._DuckErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x11e5c0ea5400742dcffe80aab3bd4786, 0x9d8a649bd30fd0f6ccb6c6b847867211) [ 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 => 0.000570145, :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#155"._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(0x4f5466f9f34fb77dc3d143a808c755f2, 0x33a17fc2d8b1371bf3480dfef88776f2) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.09000000000000001, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 1, :wall_time => 0.000618754, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.02, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0xb0c9854e0fb4237460e4019dad01bc7b, 0x25fc0a16f78997a92fb59dda35bfb54d) [ 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 => 0.000240597, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x008ace4d089129eb6a82e0ef3793d53b, 0x71888a4b3dfe4aa2b2ad16e4faa2f744) [ 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 => 0.000225368, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x281f3a17140d3ad4b9b55113501a3480, 0x57d4fa51bb0e5fc3583d7194bf83d843) [ 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 => 0.000950491, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0xb15645746c9dceb97a0b00898df7cfb7, 0x01542aa8d9e73bc3bbb5156de0a92676) [ 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 => 0.000278828, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0xde4e2adc830c81734319d9e92c4e9848, 0xd10620984e5acad75499510e5031bf48) [ 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 => 0.000244637, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x09bfdd05d4666038fe246e6992ecefe8, 0x4b0b8aea4e478b7a7022ae18ab6b68d3) [ 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 => 0.000244228, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0xfb1bf20fe3b6db45206c2edb6f4aeedd, 0xe376dd0f7bcd4ff8d79cfa2eedc2081d) [ 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 => 0.096948162, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x65df2a4ea29bff1fe9f82a63ee429e90, 0x069c185481c56539704789cdc48a92f6) [ 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 => 0.000268777, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x91efaadf9ccb1383aa290e1ec7dc268a, 0x93e86f459b53fe373d07001fedbe2752) [ 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 => 0.632296077, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0xaf89f65fc55faf66275b441849955b6c, 0x1da8afc94beb17eb2ad122d74e605c4c) [ 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 => 0.666868927, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x764b14ba653970cb0160507b8ed06145, 0xdf4b48df02acddb48ff7824db46c8059) [ 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 => 0.556009913, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x9a65d5d2defa3370413ec3092dae24da, 0xb10d019c68e963e95ad5be48284325d8) [ 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 => 0.097668246, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x0313af2eee2dd41aeec24a9158bfee5a, 0x3d74ccdf3ed9a0749d7a7ab97221d893) [ 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 => 0.711421535, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x34db530fac7ab8e9510911fd3f49ee9b, 0x9a80eb99856f8c66bf635307e26142f6) [ 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 => 0.255994551, :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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x27afb0574308ac5cda243a6ff42598aa, 0x8d30c74955270aa464f2329605c02f87) ┌ 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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0xc28949d706f3d6a87cecc59e1b1f7800, 0xe06fc477e1ed545a657ef27591021570) ┌ 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#155"._FixedErrorModel(Bool[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) │ decoder = Main.var"##App.jl#155"._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(0x80300f18cbb3f6745a08b8430bffa1bc, 0x4362d10444cc451112bd4e3617d2e540) ┌ 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(0x1202e2391aa7e08cc969e839526c3c10, 0x91476d07e95ea9305f14e58901b70e7b) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.41, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 7, :wall_time => 0.000415886, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.13999999999999999, :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 = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x449161964d540ae55339f150f9523612, 0xdfabc2f14719ee1e62f1cb9f5035d924) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 1.04, :time_steps => 1, :n_logical_commutations => [4, 4], :error_weight_total => 14, :wall_time => 0.000504396, :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 => 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 = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x6b01f523990466d381494062670568df, 0x00d5e7185823067d406c686d316827ec) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.45, :time_steps => 1, :n_logical_commutations => [0, 1], :error_weight_total => 5, :wall_time => 0.000451086, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.1, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.DepolarizingErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.2 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x0f1e3dc7b4d588e15b02d127854d7c7b, 0xad826c53b2ff9f66bb25ff710b7f2942) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.09, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 9, :wall_time => 0.000533215, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.18, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 10, :logical_failure_rate => 0.0, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 0, :n_run => 10) ┌ Info: qec_run: starting │ code = Qecsim.BasicModels.BasicCode(["XZZXI", "IXZZX", "XIXZZ", "ZXIXZ"], ["XXXXX"], ["ZZZZZ"], (5, 1, 3), "5-qubit") │ error_model = Qecsim.GenericModels.BitFlipErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0xcaa3abad13fc87ab7c8b30acb83b62b6, 0xbf2e71323c434fd35f5a65687ea8ec7a) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.6400000000000001, :time_steps => 1, :n_logical_commutations => [2, 0], :error_weight_total => 6, :wall_time => 0.021944397, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.12, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 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#155"._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(0x8ba937e7eb3c634a69142f436436cda5, 0x828cb7aead3daa96f1b7933a398f3068) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.22222222222222224, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 2, :wall_time => 0.036917538, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.13333333333333333, :measurement_error_probability => 0.0, :error_probability => 0.2, :n_success => 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#155"._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(0xe3296dc91b9e2e38121e57247f135cbb, 0xc8604a05c2102625c2c39da37dd1f5ce) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.2222222222222222, :time_steps => 1, :n_logical_commutations => nothing, :error_weight_total => 5, :wall_time => 0.000319847, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.3333333333333333, :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(0x808449c2aae00110e77814381c2a20d5, 0xbe17649e2775c4477c3bd493d088bb6a) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 4, :wall_time => 0.000465246, :n_k_d => (5, 1, 3), :error_model => "Depolarizing", :physical_error_rate => 0.08, :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(0xa63e79e7f78991c6635a9bd89aab3503, 0x9c2320291bf27ff9d834bcc0bfa0d331) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.24000000000000005, :time_steps => 1, :n_logical_commutations => [0, 0], :error_weight_total => 4, :wall_time => 0.000382177, :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 => 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.BitFlipErrorModel() │ decoder = Qecsim.GenericModels.NaiveDecoder(10) │ p = 0.1 │ random_seed = nothing │ max_runs = 10 └ max_failures = nothing [ Info: qec_run: rng=Random.MersenneTwister(0x2e7275df3025d315cb085a1999e4d789, 0x0b6004b4ccc1754e8112b0a6d3ea25ad) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.40999999999999986, :time_steps => 1, :n_logical_commutations => [1, 1], :error_weight_total => 3, :wall_time => 0.000612704, :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":[1,1]},{"error_weight_total":3},{"wall_time":0.000612704},{"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(0xc67198cc8d1607dde64e06c47e9362ad, 0x17e04b34d1f2b3f8c93479e32da5bfb2) [ Info: qec_run: complete: data=Dict{Symbol, Any}(:error_weight_pvar => 0.41, :time_steps => 1, :n_logical_commutations => [1, 0], :error_weight_total => 7, :wall_time => 0.000494566, :n_k_d => (5, 1, 3), :error_model => "Bit-flip", :physical_error_rate => 0.13999999999999999, :measurement_error_probability => 0.0, :error_probability => 0.1, :n_success => 9, :logical_failure_rate => 0.1, :custom_totals => nothing, :code => "5-qubit", :decoder => "Naive", :n_fail => 1, :n_run => 10) Test Summary: | Pass Total Time Qecsim.jl | 241 241 1m32.5s error.jl | 3 3 5.4s PauliTools.jl | 43 43 13.2s Model.jl | 21 21 4.6s models/BasicModels.jl | 13 13 0.7s models/GenericModels/simpleerrormodel.jl | 44 44 11.6s models/GenericModels/naivedecoder.jl | 16 16 3.0s App.jl | 101 101 53.9s Testing Qecsim tests passed Testing completed after 101.64s PkgEval succeeded after 164.62s