gyu-don

Require Import List.
Import ListNotations.

Theorem concat_assoc(X: Type):
  forall tttx: list (list (list X)), (concat (concat tttx)) = (concat (map (@concat X) tttx)).
Proof.
  intros.
  induction tttx.
  simpl. reflexivity.
  simpl. rewrite <- IHtttx. apply concat_app.

gyu-don

from blueqat import Circuit, pauli, vqe
from blueqat.pauli import qubo_bit as q
from math import pi
import numpy as np

def an(index):
    return 0.5 * pauli.X[index] + 0.5j * pauli.Y[index]

def cr(index):
    return 0.5 * pauli.X[index] - 0.5j * pauli.Y[index]

gyu-don

(* 3.1 *)
Inductive 紅白玉 :=
| 赤玉
| 白玉.

(* 3.2 *)
Print list.
(*
Inductive list (A : Type) : Type :=
    nil : list A

gyu-don

gyu-don

import optuna

def get_optuna_minimizer(n_trials, study=None):
    if study is None:
        study = optuna.create_study()
    def minimizer(objective, n_params):
        def optuna_objective(trial):
            params = [trial.suggest_uniform(f'params[{i}]', 0.0, 1.0) for i in range(n_params)]
            return objective(params)
        study.optimize(optuna_objective, n_trials=n_trials)

gyu-don

gyu-don

FROM nvidia/cuda:9.2-runtime-ubuntu16.04
RUN apt update && \
    apt install -y --no-install-recommends apt-transport-https curl python-pip python-setuptools ipython && \
    . /etc/lsb-release && \
    (echo "deb [arch=amd64] https://shinmorino.github.io/sqaod/ubuntu ${DISTRIB_CODENAME} multiverse" | tee /etc/apt/sources.list.d/sqaod.list) && \
    (curl -s -L https://shinmorino.github.io/sqaod/gpgkey | apt-key add -) && \
    apt update && apt install -y libsqaodc libsqaodc-dev libsqaodc-cuda-9-2 && pip install sqaod
CMD ipython

gyu-don

function c
    if test (count $argv) -eq 0
        cd
    else if test (count $argv) -gt 1
        echo "Too many arguments" >&2
    else if test -d $argv[1]
        cd $argv[1]
    else if test ! -e $argv[1]
        echo "Not exists" >&2
    else if test (head -26 $argv[1] | wc -l) -lt 26

gyu-don

// This software contains source code provided by NVIDIA Corporation.
// http://docs.nvidia.com/cuda/eula/index.html#nvidia-cuda-samples-end-user-license-agreement

#include <cuda_runtime.h>

__global__ void reduce0(int *g_idata, int *g_odata, unsigned int n)
{
    // shared memoryは、うまく使えば速度が速い。(ここでは、うまく使ってない。後で直す)
    // 同じブロック内のスレッド間で共有される。
    extern __shared__ int sdata[];

gyu-don

#include <stdio.h>
#include <inttypes.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <curand_kernel.h>

__constant__ uint8_t seq[75];

__device__ void make_card(uint8_t *card)
{