From 2b89d78835145e81e267fd3db478e88543e4644e Mon Sep 17 00:00:00 2001
From: Michael Goerz <goerz@stanford.edu>
Date: Thu, 20 Oct 2022 12:20:32 -0400
Subject: [PATCH] Remove obsolete and broken notebook

---
 notebooks/BenchmarkOverview.jl | 109 ---------------------------------
 1 file changed, 109 deletions(-)
 delete mode 100644 notebooks/BenchmarkOverview.jl

diff --git a/notebooks/BenchmarkOverview.jl b/notebooks/BenchmarkOverview.jl
deleted file mode 100644
index 4f51fdf..0000000
--- a/notebooks/BenchmarkOverview.jl
+++ /dev/null
@@ -1,109 +0,0 @@
-# ---
-# jupyter:
-#   jupytext:
-#     formats: ipynb,jl:light
-#     text_representation:
-#       extension: .jl
-#       format_name: light
-#       format_version: '1.5'
-#       jupytext_version: 1.13.6
-#   kernelspec:
-#     display_name: Julia 1.7.2
-#     language: julia
-#     name: julia-1.7
-# ---
-
-using DrWatson
-
-@quickactivate
-
-# +
-using Plots
-
-Plots.default(
-    linewidth               = 3,
-    size                    = (950, 700),
-    legend                  = :topleft,
-    foreground_color_legend = nothing,
-    background_color_legend = RGBA(1, 1, 1, 0.8),
-)
-# -
-
-using CSV
-
-# +
-function expected_storage(T; N=5)
-    bytes_per_complex_number = 16
-    steps_per_T = 10
-    bytes_per_MB = 1e6
-    N_total = N^2 # two transmons
-    n_targets = 4
-    return n_targets * T * steps_per_T * N_total / bytes_per_MB
-end
-
-expected_storage(800)
-# -
-
-function show_benchmarks(csv_times, csv_levels; title="")
-
-    data1 = CSV.File(csv_times)
-    ax11 = plot(data1.T, data1.nanosec_per_fg * 1e-9, label="time per grad eval")
-    plot!(ax11; ylabel="runtime (s)", xlabel="gate duration")
-    ax12 = plot(data1.T, data1.rss_memory_MB, label="RSS")
-    plot!(ax12, data1.T, expected_storage.(data1.T), label="storage")
-    plot!(ax12, ylabel="memory (MB)", xlabel="gate duration")
-    ax13 = plot(data1.T, data1.alloc_memory_MB, label="allocated")
-    plot!(ax13; xlabel="gate duration")
-
-    data2 = CSV.File(csv_levels)
-    ax21 = plot(data2.levels, data2.nanosec_per_fg * 1e-9, label="time per grad eval")
-    plot!(ax21; ylabel="runtime (s)", xlabel="number of transmon levels")
-    ax22 = plot(data2.levels, data2.rss_memory_MB, label="RSS")
-    plot!(ax22, data2.levels, expected_storage.(data2.levels), label="storage")
-    plot!(ax22, ylabel="memory (MB)", xlabel="number of transmon levels",)
-    ax23 = plot(data2.levels, data2.alloc_memory_MB, label="allocated")
-    plot!(ax23; xlabel="number of transmon levels")
-
-    plot(ax11, ax12, ax13, ax21, ax22, ax23, layout=6; plot_title=title)
-end
-
-
-# ## PE Optimization
-
-show_benchmarks(
-    datadir("benchmarks", "PE_benchmark_times.csv"),
-    datadir("benchmarks", "PE_benchmark_levels.csv");
-    title="Semi-AD of PE functional"
-)
-
-show_benchmarks(
-    datadir("benchmarks", "PE_benchmark_times_full_ad.csv"),
-    datadir("benchmarks", "PE_benchmark_levels_full_ad.csv");
-    title="Full-AD of PE functional"
-)
-
-# ## Gate Optimization (sqrt_iSWAP)
-
-show_benchmarks(
-    datadir("benchmarks", "SM_benchmark_times.csv"),
-    datadir("benchmarks", "SM_benchmark_levels.csv");
-    title="Direct Optimization of sqrt_iSWAP"
-)
-
-show_benchmarks(
-    datadir("benchmarks", "SM_SemiAD_benchmark_times.csv"),
-    datadir("benchmarks", "SM_SemiAD_benchmark_levels.csv");
-    title="Semi-AD Optimization of sqrt_iSWAP"
-)
-
-show_benchmarks(
-    datadir("benchmarks", "SM_FullAD_benchmark_times.csv"),
-    datadir("benchmarks", "SM_FullAD_benchmark_levels.csv");
-    title="Full-AD of sqrt_iSWAP"
-)
-
-show_benchmarks(
-    datadir("benchmarks", "SM_FullADcheby_benchmark_times.csv"),
-    datadir("benchmarks", "SM_FullADcheby_benchmark_levels.csv");
-    title="Full-AD of sqrt_iSWAP with cheby prop"
-)