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Updatejupyternotebooks #14

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85ef499
Updating gradient calculation to use in-place memory manipulation
Oct 27, 2021
cbec45b
Updated ipynb notebooks
Feb 15, 2022
0310fc2
Added pictures back to ipynb
Feb 16, 2022
90f4ff0
Merge branch 'master' into updatejupyternotebooks
keefehuang Feb 16, 2022
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1,287 changes: 674 additions & 613 deletions examples/qaoa_example.ipynb
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43 changes: 20 additions & 23 deletions examples/training_example1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
"metadata": {},
"outputs": [],
"source": [
"using Qaintessent\n",
"using Qaintellect\n",
"using LinearAlgebra\n",
"using Flux\n",
Expand Down Expand Up @@ -57,14 +58,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"rx = RxGate([0.2852979630949063])\n",
"ry = RyGate([5.897114323717471])\n"
"rx = RxGate(Float32[0.2345506])\n",
"ry = RyGate(Float32[4.734649])\n"
]
},
{
"data": {
"text/plain": [
"RyGate([5.897114323717471])"
"RyGate(Float32[4.734649])"
]
},
"execution_count": 2,
Expand Down Expand Up @@ -132,15 +133,15 @@
"name": "stdout",
"output_type": "stream",
"text": [
"ψ = Complex{Float64}[1.0 + 0.0im, 0.0 + 0.0im]\n"
"ψ = ComplexF32[1.0f0 + 0.0f0im, 0.0f0 + 0.0f0im]\n"
]
},
{
"data": {
"text/plain": [
"2-element Array{Complex{Float64},1}:\n",
" 1.0 + 0.0im\n",
" 0.0 + 0.0im"
"2-element Vector{ComplexF32}:\n",
" 1.0f0 + 0.0f0im\n",
" 0.0f0 + 0.0f0im"
]
},
"execution_count": 4,
Expand All @@ -149,7 +150,7 @@
}
],
"source": [
"ψ = ComplexF64[1, 0]\n",
"ψ = ComplexQ[1, 0]\n",
"e = -1\n",
"@show(ψ)"
]
Expand All @@ -170,9 +171,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"paras = Params([[0.2852979630949063], [5.897114323717471], \n",
" [1, 1] = 1.0+0.0im\n",
" [2, 2] = -1.0+0.0im])\n"
"paras = Params([Float32[0.2345506], Float32[4.734649], sparse([1, 2], [1, 2], ComplexF32[1.0f0 + 0.0f0im, -1.0f0 + 0.0f0im], 2, 2)])\n"
]
},
{
Expand All @@ -188,7 +187,7 @@
],
"source": [
"# create loss function: note that circuit `c` is applied to `x`\n",
"loss(x, y) = Flux.mse(c(x), y)\n",
"loss(x, y) = Flux.mse(apply(x, c), y)\n",
"\n",
"# gather parameters from Circuit\n",
"paras = Flux.params(c)\n",
Expand All @@ -212,8 +211,8 @@
{
"data": {
"text/plain": [
"1-element Array{Float64,1}:\n",
" 1.3650695278938842"
"1-element Vector{Float32}:\n",
" 1.9868569"
]
},
"execution_count": 6,
Expand Down Expand Up @@ -243,7 +242,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"loss(ψ, e) = 2.094566636677492\n"
"loss(ψ, e) = 0.4340008f0\n"
]
}
],
Expand All @@ -259,9 +258,7 @@
{
"data": {
"text/plain": [
"Params([[-0.06611831314621944], [3.1552160317265447], \n",
" [1, 1] = 1.0+0.0im\n",
" [2, 2] = -1.0+0.0im])"
"Params([Float32[0.00041586455], Float32[3.1005328], sparse([1, 2], [1, 2], ComplexF32[1.0f0 + 0.0f0im, -1.0f0 + 0.0f0im], 2, 2)])"
]
},
"execution_count": 8,
Expand Down Expand Up @@ -289,8 +286,8 @@
{
"data": {
"text/plain": [
"1-element Array{Float64,1}:\n",
" -0.9977223864977636"
"1-element Vector{Float32}:\n",
" -0.9991572"
]
},
"execution_count": 9,
Expand All @@ -305,15 +302,15 @@
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.5.4",
"display_name": "Julia 1.7.0",
"language": "julia",
"name": "julia-1.5"
"name": "julia-1.7"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.5.4"
"version": "1.7.0"
}
},
"nbformat": 4,
Expand Down
136 changes: 17 additions & 119 deletions examples/training_example2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -13,71 +13,9 @@
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[?25l\u001b[2K"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m\u001b[1m Updating\u001b[22m\u001b[39m git-repo `https://github.com/Qaintum/Qaintessent.jl`\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[?25h"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m\u001b[1m Updating\u001b[22m\u001b[39m registry at `~/.julia/registries/General`\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[?25l\u001b[2K"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[32m\u001b[1m Updating\u001b[22m\u001b[39m git-repo `https://github.com/JuliaRegistries/General.git`\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[?25h"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"┌ Warning: Some registries failed to update:\n",
"│ — /home/ga53vuw/.julia/registries/General — failed to fetch from repo\n",
"└ @ Pkg.Types /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/Types.jl:1194\n",
"\u001b[32m\u001b[1m Resolving\u001b[22m\u001b[39m package versions...\n",
"\u001b[32m\u001b[1mNo Changes\u001b[22m\u001b[39m to `/import/home/ga53vuw/Documents/PhD/projects/QAI/Qaintellect.jl/Project.toml`\n",
"\u001b[32m\u001b[1mNo Changes\u001b[22m\u001b[39m to `/import/home/ga53vuw/Documents/PhD/projects/QAI/Qaintellect.jl/Manifest.toml`\n"
]
}
],
"outputs": [],
"source": [
"using Pkg; Pkg.add(url=\"https://github.com/Qaintum/Qaintessent.jl\");\n",
"using Qaintessent\n",
"using Qaintellect\n",
"using LinearAlgebra\n",
"using Flux\n",
Expand All @@ -100,7 +38,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"rg = RotationGate([-0.3770941769323742, -0.18191239085016125, -0.4684997756909257])\n"
"rg = RotationGate(Float32[-0.53703034, 0.05597703, -0.3213241])\n"
]
},
{
Expand All @@ -127,7 +65,7 @@
"N = 4\n",
"\n",
"ry = RyGate(√2)\n",
"n = randn(Float64, 3)\n",
"n = randn(FloatQ, 3)\n",
"n /= norm(n)\n",
"rg = RotationGate(0.2π, n)\n",
"@show(rg)\n",
Expand All @@ -153,49 +91,7 @@
{
"data": {
"text/plain": [
"Params([[4.71238898038469], [0.3], [-0.3770941769323742, -0.18191239085016125, -0.4684997756909257], \n",
" [1 , 1] = 1.0+0.0im\n",
" [2 , 2] = 1.0+0.0im\n",
" [3 , 3] = 1.0+0.0im\n",
" [4 , 4] = 1.0+0.0im\n",
" [5 , 5] = 1.0+0.0im\n",
" [6 , 6] = 1.0+0.0im\n",
" [7 , 7] = 1.0+0.0im\n",
" [8 , 8] = 1.0+0.0im\n",
" [9 , 9] = 1.0+0.0im\n",
" [10, 10] = 1.0+0.0im\n",
" [11, 11] = 1.0+0.0im\n",
" [12, 12] = 1.0+0.0im\n",
" [13, 13] = 1.0+0.0im\n",
" [14, 14] = 1.0+0.0im\n",
" [15, 15] = 1.0+0.0im\n",
" [16, 16] = 1.0+0.0im, \n",
" [1 , 1] = 0.412232+0.0im\n",
" [2 , 1] = 1.12021-0.256048im\n",
" [3 , 1] = 0.302475+0.717748im\n",
" [4 , 1] = -2.45391-0.991839im\n",
" [5 , 1] = -0.84334+0.657044im\n",
" [6 , 1] = -0.843339+0.632229im\n",
" [7 , 1] = -1.27159+1.11835im\n",
" [8 , 1] = -0.360019-0.698453im\n",
" [9 , 1] = -1.21463-0.462286im\n",
" [10, 1] = 0.246136+0.40925im\n",
" [11, 1] = 0.614472+0.0312881im\n",
" [12, 1] = -0.301658+0.415073im\n",
" ⋮\n",
" [4 , 16] = -0.282751-1.06899im\n",
" [5 , 16] = -1.55817+1.4844im\n",
" [6 , 16] = 0.24081-0.161829im\n",
" [7 , 16] = -0.475453-0.114766im\n",
" [8 , 16] = 0.233323+0.248452im\n",
" [9 , 16] = -0.303145+0.68772im\n",
" [10, 16] = -1.31163-0.0208782im\n",
" [11, 16] = -0.145369-0.0330198im\n",
" [12, 16] = -1.20301-0.620426im\n",
" [13, 16] = 0.446624+1.19501im\n",
" [14, 16] = -1.15907+0.118706im\n",
" [15, 16] = 1.05218-0.523801im\n",
" [16, 16] = 1.56749+0.0im])"
"Params([Float32[4.712389], Float32[0.3], Float32[-0.53703034, 0.05597703, -0.3213241], sparse([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], ComplexF32[1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im, 1.0f0 + 0.0f0im], 16, 16), sparse([1, 2, 3, 4, 5, 6, 7, 8, 9, 10 … 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1 … 16, 16, 16, 16, 16, 16, 16, 16, 16, 16], ComplexF32[-1.4366738f0 + 0.0f0im, 0.03560376f0 - 0.6054848f0im, -0.527578f0 - 0.27173388f0im, -1.3991385f0 - 1.1131895f0im, -1.1278617f0 - 0.37390763f0im, 0.75828916f0 - 0.37697834f0im, -0.17399871f0 + 0.68030006f0im, -0.9440648f0 - 0.098141216f0im, 0.24595958f0 + 0.6661913f0im, -0.4319537f0 - 0.27240527f0im … 1.8054765f0 + 0.6945263f0im, 0.7939487f0 - 0.21607582f0im, 0.027468143f0 + 0.08795561f0im, 0.9270779f0 + 0.29685333f0im, -0.1285605f0 - 0.32457453f0im, 0.6224388f0 + 0.89071685f0im, 0.1555624f0 - 0.021069005f0im, -0.5535621f0 + 0.8260739f0im, -0.20685427f0 - 1.1576917f0im, -0.72568375f0 + 0.0f0im], 16, 16)])"
]
},
"execution_count": 3,
Expand Down Expand Up @@ -228,16 +124,18 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Initial model evaluation: -0.6411689764188402, target: 0.65\n",
"loss(ψ, e) = 3.2547793683377075\n",
"loss(ψ, e) = 7.703719777548943e-30\n",
"Final model evaluation: 0.6500000000000004, target: 0.65\n"
"Initial model evaluation: -0.5137484192848205, target: 0.65\n",
"loss(ψ, e) = 4.427609752931719\n",
"loss(ψ, e) = 1.1252841773625583e-5\n",
"loss(ψ, e) = 1.1828014123388259e-11\n",
"loss(ψ, e) = 2.1850610211407502e-12\n",
"Final model evaluation: 0.6499985218048095, target: 0.65\n"
]
}
],
"source": [
"# input quantum state\n",
"ψ = randn(ComplexF64, 2^N)\n",
"ψ = randn(ComplexQ, 2^N)\n",
"ψ /= norm(ψ)\n",
"\n",
"# desired output\n",
Expand Down Expand Up @@ -268,8 +166,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
"ry = RyGate([1.4142135623730951])\n",
"rg = RotationGate([2.2792445765601532, 14.620422188462491, 4.557172204234055])\n"
"ry = RyGate(Float32[1.4142135])\n",
"rg = RotationGate(Float32[2.4036388, -1.0326958, -0.18446656])\n"
]
}
],
Expand All @@ -284,15 +182,15 @@
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.5.3",
"display_name": "Julia 1.7.0",
"language": "julia",
"name": "julia-1.5"
"name": "julia-1.7"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.5.3"
"version": "1.7.0"
}
},
"nbformat": 4,
Expand Down
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