silgon’s gists

silgon / teleport_1.py

Created October 13, 2023 20:11

	import matplotlib.pyplot as plt
	from qiskit import *
	from qiskit.tools.monitor import job_monitor
	from qiskit.tools.visualization import plot_bloch_multivector, plot_histogram
	from math import pi


	qr = QuantumRegister(3, name="q")
	crz, crx = ClassicalRegister(1, name="crz"), ClassicalRegister(1, name="crx")
	c0 = ClassicalRegister(1, name="c0")

silgon / plot_bloch.py

Created September 18, 2023 15:46

	import qutip
	import matplotlib.pyplot as plt
	import numpy as np

	b = qutip.Bloch()
	# vec = [0,1,0]
	th = np.linspace(0, np.pi, 20)
	xz = np.sin(th)
	yz = np.zeros(20)
	zz = np.cos(th)

silgon / exploit_structure.jl

Last active July 6, 2023 22:44

exploit_structure.jsl

silgon / maximum_and_minium_eigenvalue_cvxpy.py

Created May 22, 2023 14:29

	import numpy as np
	import cvxpy as cp
	α = 0.3
	A = np.array([[1., α], [α, 1.5]])
	# maximum eigenvalue
	t = cp.Variable()
	prob = cp.Problem(cp.Minimize(t), [np.eye(2)*t-A>>0])
	prob.solve()
	# minimum eigenvalue
	t = cp.Variable()

silgon / ellipse_set.md

Last active May 17, 2023 09:47

Sanity check for convex optimization set

silgon / understanding_Ax_cones.md

Last active July 22, 2022 06:27

silgon / sunburst_plotly.py

Last active January 27, 2022 22:57

	import plotly.express as px
	df = px.data.tips()
	color_map = dict(Sun="#881122", Sat="#991188", Fri="#221122", Thur="#887722")
	fig = px.sunburst(df, path=['day', 'time', 'sex'], color="day", values='total_bill',
	color_discrete_map=color_map)
	fig.show()

	## No Express (without order)
	def build_hierarchical_dataframe(df, levels, value_column, color_column, color_map):
	levels_rev = levels[::-1]

silgon / minimize_circle_ellipse_size_points.md

Last active June 8, 2022 16:34

silgon / mid_hyperplane_line.py

Last active December 4, 2021 09:47

	import numpy as np
	import matplotlib.pyplot as plt
	n_steps = 50
	c, d= np.array([3,3]),np.array([1,2])
	a = c-d
	b = (np.linalg.norm(c)2-np.linalg.norm(d)2)/2

	x = np.linspace(0, 4, n_steps)
	y = np.linspace(0, 4, n_steps)
	X, Y = np.meshgrid(x, y)

silgon / ffmpeg_firefox_support.sh

Created September 27, 2021 19:25

ffmpeg firefox support

ffmpeg -i input.mp4 -vcodec libx264 -acodec mp2 -pix_fmt yuv420p output.mp4