Es una superficie plana que forma un ángulo agudo con el suelo

El ángulo se calcula como la inversa del diámetro (radianes). Por lo tanto, tiene una desviación diagonal debido a la relación diagonal de los ángulos y, por lo tanto, un ángulo radial, junto con una inclinación. Por lo tanto, el ángulo se consideró muy flexible tanto en el sector terrestre como en el geoestacionario y existen muchas aplicaciones de la medición de ángulos. Sin embargo, las mediciones de ángulos son de naturaleza muy subjetiva.

Es una superficie plana que forma un ángulo agudo con el suelo

De hecho, existen algunos problemas durante el trabajo con las mediciones de ángulos, ya que creemos que es imposible comparar el ángulo con un ángulo que tiene un radio diferente, aunque el radio se calculó de ángulo a ángulo. Para calcular el ángulo del círculo, podemos usar el momento angular. Es por eso que creemos que es posible medir los ángulos de la tierra (delta, cy deg) con un radio de aproximadamente 1,5 según lo medido por las mediciones de radar.

El ángulo se calcula como la inversa del diámetro (radianes). Por lo tanto, tiene una desviación diagonal debido a la relación diagonal de los ángulos y, por lo tanto, un ángulo radial, junto con una inclinación. Por lo tanto, el ángulo se consideró muy flexible tanto en el sector terrestre como en el geoestacionario y existen muchas aplicaciones de la medición de ángulos. Sin embargo, las mediciones de ángulos son de naturaleza muy subjetiva.

De hecho, existen algunos problemas durante el trabajo con las mediciones de ángulos, ya que creemos que es imposible comparar el ángulo con un ángulo que tiene un radio diferente, aunque el radio se calculó de ángulo a ángulo. Para calcular el ángulo del círculo, podemos usar el momento angular. Es por eso que creemos que es posible medir los ángulos de la tierra (delta, cy deg) con un radio de aproximadamente 1,5 según lo medido por las mediciones de radar.

Es una superficie plana que forma un ángulo agudo con el suelo

Para esto, necesita una unidad simple y versátil llamada grado angular. En la parte superior de la página, describe los dos tipos de unidad. Por lo general, se usa una unidad estándar de A, pero es posible que desee usar cualquier otro tipo de unidad si usa este tipo de medición de distancia. Como ejemplo, suponga que tiene un cuadrado y su cuadrado tiene grados de cierta longitud. Sin embargo, un cuadrado con un radio x d es más preciso que un cuadrado con un radio 2.

Enlaces de hipertexto internos y externos – Es una superficie plana que forma un ángulo agudo con el suelo

https://www.cleverfiles.com/fr/

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Avast_Antivirus

https://www.lifewire.com/what-is-antivirus-software-152947

https://128mots.com/index.php/en/2021/03/16/blocking-request-from-unknown-origin-jupyter/embed/#?secret=tfjqWZGh7C https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/embed/#?secret=2Y7GouAPDH https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/

q# vs qiskit

In this article, I propose a quantum sort algorithm and q# vs qiskit with Qiskit tutorial in python that allows you to sort a list of integers coded on two qubits. I have found that there is little literature on the subject. This algorithm can be used and can be used as a basis for solving sorting problems on an unsorted list of integers.

In this article, I propose a quantum sort algorithm with Qiskit tutorial in python that allows you to sort a list of integers coded on two qubits. I have found that there is little literature on the subject. This algorithm can be used and can be used as a basis for solving sorting problems on an unsorted list of integers.

Introduction

We consider the following problem: Given a list of four integers between 0 and 3 that are strictly different sort the given list. The solution proposed is a quantum sort algorithm.

q# vs qiskit
Figure 1 : Problem to solve with Quantum sorting algorithm

A classic sorting algorithm such as merge sorting solves the problem, see in more detail my article on the subject:

Merge sorting follows the divide and conquer paradigm of dividing the initial task into two similar smaller tasks.

Some concepts of quantum algorithm and IBM Qiskit tutorial

I recall here some concept that we are going to use in our quantum sorting algorithm, so I advise you to consult the IBM Qiskit site to learn more https://qiskit.org/textbook/what-is-quantum.html and also to read the very good book “Programming Quantum Computers: Essential Algorithms and Code Samples” by Eric R. Johnston, Nic Harrigan, Mercedes Gimeno-Segovia:

Circuits

The principle in quantum algorithm is to manipulate qubits for inputs which we have in outputs which we need, the process can be represented in the form of circuit (inputs on the left, output on the right). We can perform different operations by means of quantum gate (which act on the qubits in a way similar in classical algorithm to logic gates like AND, OR, Exclusive OR…).

In this article I will rely on Qiskit which is the IBM framework for quantum computing.

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi

qreg_qubit = QuantumRegister(2, 'qubit')
creg_classic = ClassicalRegister(2, 'classic')
circuit = QuantumCircuit(qreg_qubit, creg_classic)

circuit.reset(qreg_qubit[0])
circuit.reset(qreg_qubit[1])
circuit.x(qreg_qubit[0])
circuit.measure(qreg_qubit[0], creg_classic[0])
circuit.measure(qreg_qubit[1], creg_classic[1])

In this first algorithm, a quantum register is initialized to the state | 01> measures in a classical register the quantum state of a register of 2 qubits. The circuit can be drawn using the circuit.draw () instruction or via Circuit Composer from IBM Quantum Experience: https://quantum-computing.ibm.com/

Quantum sort : sorting algorithm IBM Qiskit python IBM Qiskit tutorial
Quantum state of a single qubit:

The state of a qubit can be expressed as a state vector:

    \[|q\rangle = \cos{(\tfrac{\theta}{2})}|0\rangle + e^{i\phi}\sin{\tfrac{\theta}{2}}|1\rangle\]

With alpha and beta which are complex numbers (ie a real and imaginary part) in this case there is the relation (mathematical reminder on complex numbers: https://www.mathsisfun.com/numbers/complex-numbers.html):

    \[|\psi\rangle = \alpha|0\rangle + \beta|1\rangle\]

If we go into trigonometric and exponential form we have with θ and ϕ which are real numbers.

    \[\sqrt{|\alpha|^2 + |\beta|^2} = 1\]

So if we measure a qubit q we have:

    \[|q\rangle = \alpha|0\rangle + \beta|1\rangle\]

That is, there is a probability of measuring the qubit in state | 0> and a probability of measuring the qubit in state | 1>. The measurement of a qubit reveals whether it is in state 1 or in state 0, in general the measurement is placed at the end of the circuit because it affects the state of the qubit accordingly.

Quantum gates

Here are some quantum gates to know that we will use in our quantum sorting algorithm:

Gate X (Pauli-X) :

Gate X is used to return the state of the qubit without modifying the phase:

    \[X = \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix} = |0\rangle\langle1| + |1\rangle\langle0|\]

<

See the example above with the use of qiskit.

Gate Y (Pauli-Y) :

The pauli Y gate allows you to return the phase and the qubit at the same time:

Example if we consider here the initialized state | 0> of the qubit and its phase of 0, there is then a 100% chance of measuring the state | 0>.

Quantum sort : sorting algorithm IBM Qiskit python IBM Qiskit tutorial

Applying the quantum gate Y has the following effect on the state and phase of the qubit:

Quantum sort : sorting algorithm IBM Qiskit python IBM Qiskit tutorial

There is then a 100% chance of measuring state 1 and the phase is reversed (see the bloch sphere above)

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi

qreg_qubit = QuantumRegister(1, 'qubit')
creg_classic = ClassicalRegister(1, 'classic')
circuit = QuantumCircuit(qreg_qubit, creg_classic)

circuit.reset(qreg_qubit[0])
circuit.y(qreg_qubit[0])
circuit.measure(qreg_qubit[0], creg_classic[0])

Gate Z (Pauli-Z) :

The Z gate is used to return only the phase and not the state of the qubit.

Note that the Y and Z gates can be represented by the following matrices:

    \[Y = \begin{bmatrix} 0 & -i \\ i & 0 \end{bmatrix} \quad\quad\quad\quad Z = \begin{bmatrix} 1 & 0 \\ 0 & -1 \end{bmatrix}\]

    \[Y = -i|0\rangle\langle1| + i|1\rangle\langle0| \quad\quad Z = |0\rangle\langle0| - |1\rangle\langle1|\]

Voir : https://qiskit.org/textbook/ch-states/single-qubit-gates.html

Hadamard Gate

The Hadamard gate (H gate) is an important quantum gate which allows to create a superposition of | 0⟩ and | 1⟩.

The matrix of this gate is:

    \[H = \tfrac{1}{\sqrt{2}}\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}\]

SWAP Gate

A SWAP gate allows the state of two qubits to be exchanged:

SWAP state example | 1⟩ from qubit 0 to qbit 2

IBM Qiskit tutorial

And state SWAP | 0⟩ from qubit 1 to qbit 2

Quantum sort : sorting algorithm IBM Qiskit python IBM Qiskit tutorial

In Python with the Qiskit framework we have:

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi

qreg_qubit = QuantumRegister(3, 'qubit')
creg_classic = ClassicalRegister(1, 'classic')
circuit = QuantumCircuit(qreg_qubit, creg_classic)

circuit.reset(qreg_qubit[0])
circuit.reset(qreg_qubit[1])
circuit.reset(qreg_qubit[2])
circuit.x(qreg_qubit[0])
circuit.swap(qreg_qubit[1], qreg_qubit[2])
circuit.measure(qreg_qubit[2], creg_classic[0])

Toffoli Gate

The Toffoli quantum gate is three qubits (two commands and one target).
It performs a phase reversal (quantum gate X on the target) only if both controls are in state | 1⟩.
A Toffoli is equivalent to an UNControlled gate (it is also called the CCX gate).

Example below with 2 command qubits in state | 1⟩ there is then a 100% chance of measuring the state | 1⟩ on the target qubit of the tofoli gate which was initially initialized to state | 0⟩ (or a reversal of the state).

Quantum sort : sorting algorithm IBM Qiskit python

Example below in the opposite case (there is then 0% chance of measuring state | 1⟩ or 100% chance of measuring state | 0⟩):

Quantum sort : sorting algorithm IBM Qiskit python
Classical gate AND gate, OR gate equivalence in quantum gate – IBM Qiskit tutorial

We see here how to combine doors to create a behavior equivalent to what we are used to using in classical circuits.

Gate AND :

From Qbit a and b and a qubit with a forced initialization to state | 0⟩ we can obtain the operation a AND b using a Toffoli quantum gate and a SWAP mate.

Quantum sort : sorting algorithm IBM Qiskit python
Le circuit suivant effectue un classique ET sur un algorithme quantique

It should be noted that at the end of this circuit we find the state A AND B on qubit B the state of qubit B is ultimately on qubit C.

The equivalent python code is as follows:

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi

qreg_a = QuantumRegister(1, 'a')
qreg_b = QuantumRegister(1, 'b')
qreg_c = QuantumRegister(1, 'c')
creg_aANDb = ClassicalRegister(1, 'aANDb')
creg_aState = ClassicalRegister(1, 'aState')
creg_bState = ClassicalRegister(1, 'bState')
circuit = QuantumCircuit(qreg_a, qreg_b, qreg_c, creg_aANDb, creg_aState, creg_bState)

circuit.reset(qreg_c[0])
circuit.ccx(qreg_a[0], qreg_b[0], qreg_c[0])
circuit.swap(qreg_b[0], qreg_c[0])
circuit.measure(qreg_b[0], creg_aANDb[0])
circuit.measure(qreg_a[0], creg_aState[0])
circuit.measure(qreg_c[0], creg_bState[0])

The equivalent of this code in OpenQASM assembler is:

OPENQASM 2.0;
include "qelib1.inc";

qreg a[1];
qreg b[1];
qreg c[1];
creg aANDb[1];
creg aState[1];
creg bState[1];

reset c[0];
ccx a[0],b[0],c[0];
swap b[0],c[0];
measure b[0] -> aANDb[0];
measure a[0] -> aState[0];
measure c[0] -> bState[0];

We will use this gate (in Quantum sort algorithm for example) to perform our quantum list sorting, here are some tests:

For | 0⟩ AND | 0⟩ you have | 0⟩ on qubit B:

q# vs qiskit
IBM Qiskit tutorial

For | 0⟩ AND | 1⟩ you have | 0⟩ on qubit B:

q# vs qiskit
IBM Qiskit tutorial

For | 1⟩ AND | 0⟩ you have | 0⟩ on qubit B:

q# vs qiskit

Finally for | 1⟩ AND | 1⟩ you have good | 1⟩ on qubit B with a probability of 100%:

q# vs qiskit
IBM Qiskit tutorial

Gate OR :

We will use it in Quantum sort algorithm.

To realize an OR gate we combine 4 X quantum gates, a Toffoli gate and a SWAP quantum gate, also the state of C must be initialized to the state | 1>:

q# vs qiskit
IBM Qiskit tutorial

The code for this door in Qiskit:

from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi

qreg_a = QuantumRegister(1, 'a')
qreg_b = QuantumRegister(1, 'b')
qreg_c = QuantumRegister(1, 'c')
creg_aORb = ClassicalRegister(1, 'aORb')
creg_aState = ClassicalRegister(1, 'aState')
creg_bState = ClassicalRegister(1, 'bState')
circuit = QuantumCircuit(qreg_a, qreg_b, qreg_c, creg_aORb, creg_aState, creg_bState)

circuit.reset(qreg_a[0])
circuit.reset(qreg_b[0])
circuit.x(qreg_b[0])
circuit.x(qreg_c[0])
circuit.x(qreg_a[0])
circuit.ccx(qreg_a[0], qreg_b[0], qreg_c[0])
circuit.x(qreg_a[0])
circuit.x(qreg_b[0])
circuit.swap(qreg_b[0], qreg_c[0])
circuit.measure(qreg_b[0], creg_aORb[0])
circuit.measure(qreg_a[0], creg_aState[0])
circuit.measure(qreg_c[0], creg_bState[0])

in OpenQASM :

OPENQASM 2.0;
include "qelib1.inc";

qreg a[1];
qreg b[1];
qreg c[1];
creg aORb[1];
creg aState[1];
creg bState[1];

reset a[0];
reset b[0];
x b[0];
x c[0];
x a[0];
ccx a[0],b[0],c[0];
x a[0];
x b[0];
swap b[0],c[0];
measure b[0] -> aORb[0];
measure a[0] -> aState[0];
measure c[0] -> bState[0];

If we test we get a OR gate :

Here for | 0⟩ OR | 0⟩ you have good | 0⟩ on qubit B with a probability of 100%:

Here for | 0⟩ OR | 1⟩ you have good | 1⟩ on qubit B with a probability of 100%:

For | 1⟩ OR | 0⟩ you have good | 1⟩ on qubit B with a probability of 100%:

Quantum sort algorithm.

Finally for | 1⟩ OR | 1⟩ you have good | 1⟩ on qubit B with a probability of 100%:

Quantum sort algorithm.

Quantum sort : Quantum sorting algorithm

Quantum sort algorithm

To solve this problem we will first create a quantum circuit (used in Quantum sort algorithm) that allows you to measure if a figure is lower than another for this the intuition is to be based on a circuit similar to a classic circuit of comparison of magnitude at 2 qubit .

Quantum magnitude comparator for Quantum sort algorithm:

We consider a digit A stored in a 2 qubit register (A0, A1) and a digit B stored in another register (B0, B1):

Link here: https://www.electronics-tutorials.ws/combination/comb_8.html

To know if A> B with 2 registers of 2 Qubits, the equation must be applied:

(A_{1}\overline{B_{1}})+((A_{1}A_{0}+A_{0}\overline{B_{1}})\overline{B_{0}})

The equivalent circuit to create this is:

Here in the example the 2 bits compared by this circuit are in register a and register B

q# vs qiskit
Quantum qubit magnitude comparator

The equivalent code for this comparator in OpenQASM is:

q# vs qiskit

I have created a GATE comparator4 which has the following OPENQASM equivalent code:

gate comparator4 a, b, c, d, f, g, i, j, k, l {
  x d;
  x j;
  x l;
  andG1 b, d, f;
  andG2 a, b, g;
  andG3 a, f, i;
  orG1 b, f, j;
  x c;
  andG4 c, f, k;
  x c;
  orG2 d, f, l;
  swap d, i;
  x d;
  swap b, g;
}

So we see that this custom quantum gate is made up of a quantum AND gate and a custom quantum OR gate that I created in the following way. If we unfold the doors andG1, andG2, andG3, orG1, orG2 we have:

q# vs qiskit

The OpenQASM equivalent code to write the different gate andG1, andG2, andG3, orG1, orG2 to create comparator 4 is:

gate andG1 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate andG2 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate andG3 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate orG1 a, b, c {
  x a;
  x b;
  ccx a, b, c;
  x a;
  x b;
  swap b, c;
}

gate andG4 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate orG2 a, b, c {
  x a;
  x b;
  ccx a, b, c;
  x a;
  x b;
  swap b, c;
}
Circuit for checking a sorted list
q# vs qiskit

If we consider here a list of 4 digits stored in the 4 registers of 2 qubits: a, b, m, n. The circuit above is used to test whether the input list is sorted or not. For this I cascaded 3 quantum magnitude comparators (seen in detail in the previous paragraph). Thus the circuit obtained will test if a> b and put the result on the qbit c then check if b> m and store the result on the qbit o and finally it tests if m> n and store the result on the qubit q.

The last quantum gate andOnCompare makes it possible to apply a mutliple AND part: if c AND o AND q are in the quantum state | 1> then the qubit q is set in the quantum state | 1> otherwise it is in the quantum | 0>:

Below is the code of the door andOnCompare in openQASM:

gate andOnCompare a, b, c, d, f {
  ccx a, b, d;
  swap b, d;
  ccx b, c, f;
  swap c, f;
}

We have thus created a verification circuit that a list of 4 digits stored in registers a, b, m, n is sorted in a decreasing way or not. The result is stored in the qubit q which has a 100% chance of being measured at state | 1> if the list is sorted otherwise 100% to be at | 0> if the list a, b, m, n is not in decreasing order.

In the general diagram above we notice that in the example:

a=0,b=2,m=3,n=1

in this case this circuit will return the quantum state | 0> on the qubit q

Creation of a circuit of permutations

The idea of ​​our algorithm is to permute these 4 digits using control qubits which will be in superimposed state.

The permutation circuit is as follows:

A register of 6 Qubit “control” allows to control the permutation of the list knowing that there are for 4 elements: 4 * 3 * 2 * 1 possible permutations that is to say 24 possibilities the 6 qubits allow to generate these different states.

q# vs qiskit

4 Hadamard quantum gates are used to implement these permutations and take advantage of the superposition of the Qubit ‘control’ register

In other words in the circuit above we see that we start the circuit by initializing the registers a, b, m, n with its list of unsorted numbers, here (a = 0, b = 2, m = 3, n = 1).

The permutation circuit which is controlled by a superimposed qubit register allows the list to be permuted in quantum superposition.

Thus we obtain on the qubit q0 the quantum state | 1> if the permuted list is sorted in a decreasing way otherwise the quantum state | 0>.

The OpenQASM code of the quantum algorithm for performing permutations is as follows:

gate permuter a, b, c, d, f, g, i, j, k, l, m, n, o, p {
  cswap k, a, c;
  cswap l, a, f;
  cswap m, a, i;
  cswap k, b, d;
  cswap l, b, g;
  cswap m, b, j;
  cswap n, c, f;
  cswap o, c, i;
  cswap n, d, g;
  cswap o, d, j;
  cswap p, f, i;
  cswap p, g, j;
}
Amplification of the result

I’m going to call this part of my algorithm amplification: the idea is to put the qubit a, b, m, n at | 00>, | 00>, | 00>, | 00> if the list is unsorted. If the list is sorted then the quantum state of a, b, m, n should not be changed.

So we should measure the following result: | 00>, | 00>, | 00>, | 00> when the list is unsorted and a, b, m, n with the input digits in sorted order (in the case in our example this means that there is a probability of measuring the state | 11>, | 10>, | 01>, | 00> either 3,2,1,0 or the sorted list).

The circuit of the quantum amplifier is as follows:

The circuit is based on a series of quantum gate AND applied to the output state q0 AND the number of the list. When the qubit q0 indicates that the list is sorted it is at | 1> and leaves the state of the qubits a, b, m, n at their input state (or permuted by superposition). When the qubit q0 indicates that the list is unsorted it is in the state | 0> the application of the AND gate will thus set the qubits a, b, m, n to | 0>.

The amplifier code is as follows according to a quantum algorithm encoded in OpenQASM:

gate amplifier2 a, b, c, d, f, g, i, j, k, l, m, n, o, p, q, r, v {
  ccx a, k, l;
  swap a, l;
  ccx b, k, m;
  swap b, m;
  ccx c, k, n;
  swap c, n;
  ccx d, k, o;
  swap d, o;
  ccx f, k, p;
  swap f, p;
  ccx g, k, q;
  swap g, q;
  ccx i, k, r;
  swap i, r;
  ccx j, k, v;
  swap j, v;
}
Complete quantum algorithm for descending sorting of a list of four digits – q# vs qiskit:

Here is the circuit used to sort the following list: a = 0, b = 2, m = 3, n = 1.

It is easily possible to initialize the circuit with another list by modifying the initialization of registers a, b, m, n. Also the current algorithm allows to sort numbers coded on 2 qubits it remains possible to modify the algorithm according to the same principle to sort numbers stored on 3 qubits and consider a list of more than 4 elements (it is then necessary to multiply the number of qubit registers to store the entry list).

q# vs qiskit

The complete code is as follows in openQASM:

OPENQASM 2.0;
include "qelib1.inc";
gate andG1 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate andG2 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate andG3 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate orG1 a, b, c {
  x a;
  x b;
  ccx a, b, c;
  x a;
  x b;
  swap b, c;
}

gate andG4 a, b, c {
  ccx a, b, c;
  swap b, c;
}

gate orG2 a, b, c {
  x a;
  x b;
  ccx a, b, c;
  x a;
  x b;
  swap b, c;
}

gate comparator a, b, c, d, f, g, i, j, k, l {
  x d;
  x j;
  x l;
  andG1 b, d, f;
  andG2 a, b, g;
  andG3 a, f, i;
  orG1 b, f, j;
  x c;
  andG4 c, f, k;
  orG2 d, f, l;
}

gate comparator2 a, b, c, d, f, g, i, j, k, l {
  x d;
  x j;
  x l;
  andG1 b, d, f;
  andG2 a, b, g;
  andG3 a, f, i;
  orG1 b, f, j;
  x c;
  andG4 c, f, k;
  orG2 d, f, l;
  x d;
  swap b, g;
}

gate comparator3 a, b, c, d, f, g, i, j, k, l {
  x d;
  x j;
  x l;
  andG1 b, d, f;
  andG2 a, b, g;
  andG3 a, f, i;
  orG1 b, f, j;
  x c;
  andG4 c, f, k;
  orG2 d, f, l;
  swap d, i;
  x d;
  swap b, g;
}

gate comparator4 a, b, c, d, f, g, i, j, k, l {
  x d;
  x j;
  x l;
  andG1 b, d, f;
  andG2 a, b, g;
  andG3 a, f, i;
  orG1 b, f, j;
  x c;
  andG4 c, f, k;
  x c;
  orG2 d, f, l;
  swap d, i;
  x d;
  swap b, g;
}

gate permutation a, b, c, d, f, g, i, j, k, l, m, n, o, p {
  ccx a, c, k;
  ccx a, f, l;
  ccx a, i, m;
  ccx b, d, k;
  ccx b, g, l;
  ccx b, j, m;
  ccx c, f, n;
  ccx c, i, o;
  ccx d, g, n;
  ccx d, j, o;
  ccx f, i, p;
  ccx g, j, p;
}

gate andOnCompare a, b, c, d, f {
  ccx a, b, d;
  swap b, d;
  ccx b, c, f;
  swap c, f;
}

gate permuter a, b, c, d, f, g, i, j, k, l, m, n, o, p {
  cswap k, a, c;
  cswap l, a, f;
  cswap m, a, i;
  cswap k, b, d;
  cswap l, b, g;
  cswap m, b, j;
  cswap n, c, f;
  cswap o, c, i;
  cswap n, d, g;
  cswap o, d, j;
  cswap p, f, i;
  cswap p, g, j;
}

gate amplifier a, b, c, d, f, g, i, j, k, l, m, n, o, p, q, r, v {
  ccx l, a, m;
  swap a, m;
  ccx l, b, n;
  swap b, n;
  ccx l, c, o;
  swap c, o;
  ccx l, d, p;
  swap d, p;
  ccx l, f, q;
  swap f, q;
  ccx l, f, q;
  swap f, q;
  ccx l, g, r;
  swap g, r;
  ccx l, i, v;
  swap i, v;
  ccx l, j, k;
  swap j, k;
}

gate amplifier1 a, b, c, d, f, g, i, j, k, l, m, n, o, p, q, r, v {
  ccx a, l, m;
  swap a, m;
  ccx b, l, n;
  swap b, n;
  ccx c, l, o;
  swap c, o;
  ccx d, l, p;
  swap d, p;
  ccx f, l, q;
  swap f, q;
  ccx f, l, q;
  swap f, q;
  ccx g, l, r;
  swap g, r;
  ccx i, l, v;
  swap i, v;
  ccx j, k, l;
  swap j, k;
}

gate amplifier2 a, b, c, d, f, g, i, j, k, l, m, n, o, p, q, r, v {
  ccx a, k, l;
  swap a, l;
  ccx b, k, m;
  swap b, m;
  ccx c, k, n;
  swap c, n;
  ccx d, k, o;
  swap d, o;
  ccx f, k, p;
  swap f, p;
  ccx g, k, q;
  swap g, q;
  ccx i, k, r;
  swap i, r;
  ccx j, k, v;
  swap j, v;
}

qreg a[2];
qreg b[2];
qreg m[2];
qreg n[2];
qreg c[1];
qreg o[1];
qreg q[1];
qreg d[1];
qreg g[1];
qreg j[1];
qreg k[1];
qreg l[1];
qreg r[1];
qreg uu[1];
qreg zz[1];
qreg control[6];
creg sorted[8];

reset a[0];
reset a[1];
reset b[0];
reset b[1];
reset m[0];
reset m[1];
reset n[0];
reset n[1];
reset c[0];
reset o[0];
reset q[0];
reset d[0];
reset g[0];
reset j[0];
reset k[0];
reset l[0];
reset r[0];
reset uu[0];
h control[0];
h control[1];
h control[2];
h control[3];
h control[4];
h control[5];
reset a[0];
reset a[1];
reset b[0];
x b[1];
x m[0];
x m[1];
reset n[1];
reset c[0];
reset d[0];
reset g[0];
reset j[0];
reset k[0];
reset l[0];
x n[0];
permuter a[0],a[1],b[0],b[1],m[0],m[1],n[0],n[1],control[0],control[1],control[2],control[3],control[4],control[5];
comparator4 a[0],a[1],b[0],b[1],c[0],d[0],g[0],j[0],k[0],l[0];
reset zz[0];
reset d[0];
reset g[0];
reset j[0];
reset k[0];
reset l[0];
comparator4 b[0],b[1],m[0],m[1],o[0],d[0],g[0],j[0],k[0],l[0];
reset d[0];
reset g[0];
reset j[0];
reset k[0];
reset l[0];
comparator4 m[0],m[1],n[0],n[1],q[0],d[0],g[0],j[0],k[0],l[0];
andOnCompare c[0],o[0],q[0],r[0],uu[0];
reset d[0];
reset g[0];
reset j[0];
reset k[0];
reset l[0];
reset r[0];
reset uu[0];
amplifier2 a[0],a[1],b[0],b[1],m[0],m[1],n[0],n[1],q[0],d[0],g[0],j[0],k[0],l[0],r[0],uu[0],zz[0];
measure a[0] -> sorted[0];
measure a[1] -> sorted[1];
measure b[0] -> sorted[2];
measure b[1] -> sorted[3];
measure m[0] -> sorted[4];
measure m[1] -> sorted[5];
measure n[0] -> sorted[6];
measure n[1] -> sorted[7];

Here is the Python Qiskit code for my quantum sorting algorithm:

q# vs qiskit
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi

qreg_a = QuantumRegister(2, 'a')
qreg_b = QuantumRegister(2, 'b')
qreg_m = QuantumRegister(2, 'm')
qreg_n = QuantumRegister(2, 'n')
qreg_c = QuantumRegister(1, 'c')
qreg_o = QuantumRegister(1, 'o')
qreg_q = QuantumRegister(1, 'q')
qreg_d = QuantumRegister(1, 'd')
qreg_g = QuantumRegister(1, 'g')
qreg_j = QuantumRegister(1, 'j')
qreg_k = QuantumRegister(1, 'k')
qreg_l = QuantumRegister(1, 'l')
qreg_r = QuantumRegister(1, 'r')
qreg_uu = QuantumRegister(1, 'uu')
qreg_zz = QuantumRegister(1, 'zz')
qreg_control = QuantumRegister(6, 'control')
creg_sorted = ClassicalRegister(8, 'sorted')
circuit = QuantumCircuit(qreg_a, qreg_b, qreg_m, qreg_n, qreg_c, qreg_o, qreg_q, qreg_d, qreg_g, qreg_j, qreg_k, qreg_l, qreg_r, qreg_uu, qreg_zz, qreg_control, creg_sorted)

circuit.x(qreg_b[1])
circuit.x(qreg_m[0])
circuit.x(qreg_m[1])
circuit.x(qreg_n[0])
circuit.x(qreg_j[0])
circuit.x(qreg_l[0])
circuit.h(qreg_control[0])
circuit.cswap(qreg_control[0], qreg_a[0], qreg_b[0])
circuit.cswap(qreg_control[0], qreg_a[1], qreg_b[1])
circuit.h(qreg_control[1])
circuit.cswap(qreg_control[1], qreg_a[0], qreg_m[0])
circuit.cswap(qreg_control[1], qreg_a[1], qreg_m[1])
circuit.h(qreg_control[2])
circuit.cswap(qreg_control[2], qreg_a[0], qreg_n[0])
circuit.cswap(qreg_control[2], qreg_a[1], qreg_n[1])
circuit.h(qreg_control[3])
circuit.cswap(qreg_control[3], qreg_b[0], qreg_m[0])
circuit.cswap(qreg_control[3], qreg_b[1], qreg_m[1])
circuit.h(qreg_control[4])
circuit.cswap(qreg_control[4], qreg_b[0], qreg_n[0])
circuit.x(qreg_b[0])
circuit.cswap(qreg_control[4], qreg_b[1], qreg_n[1])
circuit.x(qreg_b[1])
circuit.ccx(qreg_a[1], qreg_b[1], qreg_c[0])
circuit.ccx(qreg_a[0], qreg_a[1], qreg_d[0])
circuit.swap(qreg_a[1], qreg_d[0])
circuit.x(qreg_a[1])
circuit.swap(qreg_b[1], qreg_c[0])
circuit.ccx(qreg_a[0], qreg_c[0], qreg_g[0])
circuit.swap(qreg_c[0], qreg_g[0])
circuit.x(qreg_c[0])
circuit.ccx(qreg_a[1], qreg_c[0], qreg_j[0])
circuit.x(qreg_c[0])
circuit.swap(qreg_c[0], qreg_j[0])
circuit.reset(qreg_j[0])
circuit.x(qreg_j[0])
circuit.x(qreg_a[1])
circuit.swap(qreg_a[1], qreg_d[0])
circuit.reset(qreg_d[0])
circuit.ccx(qreg_b[0], qreg_c[0], qreg_k[0])
circuit.swap(qreg_c[0], qreg_k[0])
circuit.x(qreg_c[0])
circuit.reset(qreg_k[0])
circuit.x(qreg_b[0])
circuit.x(qreg_b[1])
circuit.ccx(qreg_b[1], qreg_c[0], qreg_l[0])
circuit.x(qreg_c[0])
circuit.swap(qreg_c[0], qreg_l[0])
circuit.reset(qreg_l[0])
circuit.x(qreg_l[0])
circuit.x(qreg_b[1])
circuit.swap(qreg_b[1], qreg_g[0])
circuit.reset(qreg_g[0])
circuit.x(qreg_b[1])
circuit.h(qreg_control[5])
circuit.cswap(qreg_control[5], qreg_m[0], qreg_n[0])
circuit.x(qreg_m[0])
circuit.x(qreg_n[0])
circuit.cswap(qreg_control[5], qreg_m[1], qreg_n[1])
circuit.x(qreg_m[1])
circuit.ccx(qreg_b[1], qreg_m[1], qreg_o[0])
circuit.ccx(qreg_b[0], qreg_b[1], qreg_d[0])
circuit.swap(qreg_b[1], qreg_d[0])
circuit.x(qreg_b[1])
circuit.swap(qreg_m[1], qreg_o[0])
circuit.ccx(qreg_b[0], qreg_o[0], qreg_g[0])
circuit.swap(qreg_o[0], qreg_g[0])
circuit.x(qreg_o[0])
circuit.ccx(qreg_b[1], qreg_o[0], qreg_j[0])
circuit.x(qreg_o[0])
circuit.swap(qreg_o[0], qreg_j[0])
circuit.reset(qreg_j[0])
circuit.x(qreg_j[0])
circuit.x(qreg_b[1])
circuit.swap(qreg_b[1], qreg_d[0])
circuit.reset(qreg_d[0])
circuit.ccx(qreg_m[0], qreg_o[0], qreg_k[0])
circuit.swap(qreg_o[0], qreg_k[0])
circuit.reset(qreg_k[0])
circuit.x(qreg_o[0])
circuit.x(qreg_m[0])
circuit.x(qreg_m[1])
circuit.ccx(qreg_m[1], qreg_o[0], qreg_l[0])
circuit.x(qreg_o[0])
circuit.swap(qreg_o[0], qreg_l[0])
circuit.ccx(qreg_c[0], qreg_o[0], qreg_r[0])
circuit.reset(qreg_l[0])
circuit.x(qreg_l[0])
circuit.swap(qreg_o[0], qreg_r[0])
circuit.reset(qreg_r[0])
circuit.x(qreg_m[1])
circuit.swap(qreg_m[1], qreg_g[0])
circuit.reset(qreg_g[0])
circuit.x(qreg_m[1])
circuit.x(qreg_n[1])
circuit.ccx(qreg_m[1], qreg_n[1], qreg_q[0])
circuit.ccx(qreg_m[0], qreg_m[1], qreg_d[0])
circuit.swap(qreg_m[1], qreg_d[0])
circuit.x(qreg_m[1])
circuit.swap(qreg_n[1], qreg_q[0])
circuit.ccx(qreg_m[0], qreg_q[0], qreg_g[0])
circuit.swap(qreg_q[0], qreg_g[0])
circuit.x(qreg_q[0])
circuit.ccx(qreg_m[1], qreg_q[0], qreg_j[0])
circuit.x(qreg_q[0])
circuit.swap(qreg_q[0], qreg_j[0])
circuit.reset(qreg_j[0])
circuit.x(qreg_m[1])
circuit.swap(qreg_m[1], qreg_d[0])
circuit.reset(qreg_d[0])
circuit.ccx(qreg_n[0], qreg_q[0], qreg_k[0])
circuit.swap(qreg_q[0], qreg_k[0])
circuit.reset(qreg_k[0])
circuit.x(qreg_q[0])
circuit.x(qreg_n[0])
circuit.x(qreg_n[1])
circuit.ccx(qreg_n[1], qreg_q[0], qreg_l[0])
circuit.x(qreg_q[0])
circuit.swap(qreg_q[0], qreg_l[0])
circuit.reset(qreg_l[0])
circuit.ccx(qreg_o[0], qreg_q[0], qreg_uu[0])
circuit.swap(qreg_q[0], qreg_uu[0])
circuit.reset(qreg_uu[0])
circuit.ccx(qreg_a[0], qreg_q[0], qreg_d[0])
circuit.swap(qreg_a[0], qreg_d[0])
circuit.x(qreg_n[1])
circuit.swap(qreg_n[1], qreg_g[0])
circuit.reset(qreg_g[0])
circuit.ccx(qreg_a[1], qreg_q[0], qreg_g[0])
circuit.swap(qreg_a[1], qreg_g[0])
circuit.ccx(qreg_b[0], qreg_q[0], qreg_j[0])
circuit.swap(qreg_b[0], qreg_j[0])
circuit.ccx(qreg_b[1], qreg_q[0], qreg_k[0])
circuit.swap(qreg_b[1], qreg_k[0])
circuit.ccx(qreg_m[0], qreg_q[0], qreg_l[0])
circuit.swap(qreg_m[0], qreg_l[0])
circuit.ccx(qreg_m[1], qreg_q[0], qreg_r[0])
circuit.swap(qreg_m[1], qreg_r[0])
circuit.ccx(qreg_n[0], qreg_q[0], qreg_uu[0])
circuit.swap(qreg_n[0], qreg_uu[0])
circuit.x(qreg_n[1])
circuit.ccx(qreg_n[1], qreg_q[0], qreg_zz[0])
circuit.swap(qreg_n[1], qreg_zz[0])
circuit.measure(qreg_a[0], creg_sorted[0])
circuit.measure(qreg_a[1], creg_sorted[1])
circuit.measure(qreg_b[0], creg_sorted[2])
circuit.measure(qreg_b[1], creg_sorted[3])
circuit.measure(qreg_m[0], creg_sorted[4])
circuit.measure(qreg_m[1], creg_sorted[5])
circuit.measure(qreg_n[0], creg_sorted[6])
circuit.measure(qreg_n[1], creg_sorted[7])

Quantum sorting algorithm circuit test with IBM qiskit (python)

The tests are carried out by starting the algorithm on the quantum simulator:

To start the quantum algorithm, you must first initialize:

%matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from iqx import *

# Loading your IBM Q account(s)
provider = IBMQ.load_account()

And to perform the test for example by executing the quantum circuit 100 times and displaying the probability of measurement in the form of a histogram:

backend = Aer.get_backend('qasm_simulator')
results = execute(circuit, backend=backend, shots=100).result()
answer = results.get_counts()
plot_histogram(answer)

We obtain the result which confirms that with Quantum sort algorithm we have more change in measuring the quantum state of the sorted list than the other combinations (in my test 5%):

q# vs qiskit

After 200 shots i get :

q# vs qiskit

Quantum Sort & Internal links – q# vs qiskit:

https://128mots.com/index.php/en/category/non-classe-en/

Comment figer une ligne sur excel ?

Si vous recherchez comment figer une ligne sur excel , voici quelques explications et un tuto en pas à pas pour y parvenir rapidement.

Sélectionnez la ligne concernée puis Affichage > Figer les volets > Figer les volets

Pour créer une formule dans Microsoft Excel, par exemple avec la formule SOMME, sélectionnez des cellules avec des données SOMME comme champs.

Exemple de formule Excel avec formule MUM:

MUM_FIELD = $ données [‘MUM_NAME’];

Où somme ($ data [‘MUM_MUM_DATA’] = m + $ data [‘MUM_MUM_DATA’] + ‘SUM’) + $ type = .MUM_FIELD .DOWNT_SIZE_DIVIDER;

où matrice est un agrégat des lignes de données.

Nous pouvons facilement intégrer des matrices à partir des feuilles de calcul Excel pour utiliser les feuilles de calcul Excel comme source d’informations pour améliorer le résultat.

Dans le cadre du processus de développement de l’application, nous pouvons intégrer des matrices comme celle d’Excel sur la feuille de calcul pour permettre aux utilisateurs de sélectionner le champ qu’ils souhaitent enregistrer dans une feuille de calcul et de l’importer pour une utilisation dans une feuille de calcul Excel.

Comment figer une ligne sur excel ?

Les principaux points de ce projet sont:

Utilisez les feuilles de calcul Excel comme source de données pour augmenter l’utilisation des feuilles de calcul, fournissez une méthode pratique permettant aux utilisateurs de contrôler les colonnes de feuilles de calcul utilisées et fournissez d’autres fonctionnalités utiles de ces feuilles de calcul.

Ajoutez la prise en charge des formules Excel.

Prise en charge de la feuille de calcul Excel pour d’autres applications, y compris les feuilles de calcul Excel.

Documentation

Cette bibliothèque fournit le balisage suivant.

Liens externes :

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Microsoft_Office

Liens internes – Comment figer une ligne sur excel ?

https://128mots.com/index.php/category/python/ https://128mots.com/index.php/2021/04/29/dataframe-to-csv-how-to-export-pandas-dataframe/embed/#?secret=Ja9rmsreAV https://128mots.com/index.php/2021/04/29/dataframe-to-csv-how-to-export-pandas-dataframe/

Comment faire une liste déroulante sur excel ?

Si vous recherchez comment faire une liste déroulante sur excel, voici des éléments qui vont vous guidez dans l’utilisation d’excel.

Dans ce didacticiel pas à pas, je vais vous montrer comment créer une barre de défilement dans Excel.

Vous apprendrez également à lier un ensemble de données à cette barre de défilement dynamique de sorte que lorsque l’utilisateur modifie la barre de défilement, les données changent également.

Comment faire une liste déroulante sur excel ?
  1. Accédez à l’onglet Développeur >> Insérer >> Barre de défilement
  2. Cliquez sur le bouton de la barre de défilement et cliquez ensuite n’importe où sur votre feuille.
  3. Cliquez avec le bouton droit de la souris sur la barre de défilement, dans la boîte de dialogue Contrôle du format, accédez à l’onglet «Contrôle» et modifiez le paramètre pour qu’il corresponde à votre exemple.
  4. Maintenant, vous pouvez utiliser si vous voulez que la formule sur la cellule que vous choisissez dans l’onglet précédent, elle doit correspondre.= OFFSET (…, …, ..)

Liens externes :

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Microsoft_Office

Liens internes – Comment faire une liste déroulante sur excel :

https://128mots.com/index.php/category/python/

https://128mots.com/index.php/2021/04/29/dataframe-to-csv-how-to-export-pandas-dataframe/

Ampleforth is a censorship resistant

If you are looking about Ampleforth is a censorship resistant like a lot of people, i will try in this article to speak about DeFi building block.

Ampleforth is a censorship resistant DeFi building block

What is Decentralized Finance building block of Ethereum, and why do you think you have a similar idea about decentralization? There are a few key components but you need the most from them. All you need is the power of the blockchain to decide how much money is safe and how much is safe.

Ampleforth is a censorship resistant

These decisions are only a part of making decisions about how much we value these assets.

In principle, a decentralized system would make all of these decisions less expensive than doing the same thing with fiat. However, there are very concrete reasons why crypto-currencies should have fewer of these decisions. It won’t be easy. Decentralized governance is a big undertaking.

So why focus on the “fundamental” decision when you can move to something that makes even more sense? Decentralized governance is, for the most part, the most fundamental decision.

It makes no sense to have it all as if they were a second choice because one can not decide what is safe and what is not. It’s not about the value of the assets but to how much money you spend on them.

External link

https://www.cleverfiles.com/fr/

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Avast_Antivirus

https://www.lifewire.com/what-is-antivirus-software-152947

Internal links – Ampleforth is a censorship resistant

https://128mots.com/index.php/en/2021/03/16/blocking-request-from-unknown-origin-jupyter/embed/#?secret=tfjqWZGh7C https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/embed/#?secret=2Y7GouAPDH https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/

Which programming language should i learn ?

If you are asking which programming language should i learn ? Here i will try to give you an answer.

A good programmer in Perl is willing to give his time with programming language to learn Perl and, having the right background and time to teach the language, may become a good programmer. That being said, a very good programmer in a PHP system with a great understanding of PHP design will be able to easily use the PHP languages.

If one does not have some good background in PHP or not a good knowledge of the programming language, this would definitely be an issue to overcome. And yes, one must develop good PHP programs by studying PHP.

For example, when one is in PHP, the programmer may not be able to quickly learn the PHP programming language.

Which programming language should i learn ?

Many PHP developers seem to do some of the things they want to do in PHP code. For example, it is easy to see a lot of examples the programmer could have written in the programming language; instead of just memorizing some of them, it becomes quite useful to quickly learn the language from the information learned.

So a new PHP programmer cannot just use the PHP programming language to learn the language while still learning the programming language? A programmer with the knowledge of PHP, would have a job in another software platform like Python, PHP, PHPUnit or Python for example.

But that is just a programmer’s choice – in this situation the job is for someone who has good skills in PHP but also with good knowledge of PHP design, programming and writing.

External link

https://www.cleverfiles.com/fr/

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Avast_Antivirus

https://www.lifewire.com/what-is-antivirus-software-152947

Internal links – Which programming language should i learn ?

https://128mots.com/index.php/en/2021/03/16/blocking-request-from-unknown-origin-jupyter/embed/#?secret=tfjqWZGh7C https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/embed/#?secret=2Y7GouAPDH https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/

Imprimer en noir et blanc quand cartouche couleur vide

Vous cherchez comment imprimer en noir et blanc quand cartouche couleur vide ? Voici quelques explications pour y parvenir facilement.

Vous pouvez imprimer lorsqu’une cartouche d’encre est vide en ajustant les paramètres de l’imprimante.

Cependant, cela dépend de la tolérance de l’imprimante.

De nombreuses imprimantes ont aujourd’hui été programmées pour vous empêcher d’imprimer lorsqu’une cartouche d’encre est épuisée.

Imprimer en noir et blanc quand cartouche couleur vide

Par conséquent, cela vous oblige à acheter de nouvelles cartouches de remplacement au moment le plus gênant.

La solution à cet obstacle consiste à réinitialiser l’imprimante, puis à configurer les paramètres d’impression pour remplacer le «mécanisme de blocage» de l’imprimante pour les cartouches d’encre vides.

Voici par exemple :

  • Accédez au panneau de configuration de l’imprimante et appuyez sur le bouton “Menu”.
  • Utilisez les flèches gauche et droite pour accéder aux paramètres «Services» et appuyez sur «Entrée».
  • Utilisez à nouveau les boutons fléchés gauche et droit pour aller à “Restaurer les paramètres par défaut” et appuyez sur “Entrée”.
  • Votre imprimante sera maintenant réinitialisée
  • Accédez à votre ordinateur et cliquez sur “Imprimer”
  • Cliquez sur “Propriétés”, onglet “Couleur”.
  • Sélectionnez l’option “Imprimer en niveaux de gris”

External link

https://www.cleverfiles.com/fr/

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Avast_Antivirus

https://www.lifewire.com/what-is-antivirus-software-152947

Internal links – Imprimer en noir et blanc quand cartouche couleur vide

https://128mots.com/index.php/en/2021/03/16/blocking-request-from-unknown-origin-jupyter/embed/#?secret=tfjqWZGh7C https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/embed/#?secret=2Y7GouAPDH https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/

En vacances au Brésil, andré reçoit ce message de son opérateur mobile l’informant d’une facturation hors forfait. quel paramètre a-t-il oublié de désactiver sur son smartphone ?

Nombreuses sont les personnes qui se demandent sur internet : en vacances au brésil, andré reçoit ce message de son opérateur mobile l’informant d’une facturation hors forfait. quel paramètre a-t-il oublié de désactiver sur son smartphone ?

Le paramètre « itinérance » ou de « roaming » permet de régler l’utilisation de son smartphone pour éviter une facturation hors forfait.

Qu’est-ce que l’itinérance? L’itinérance, c’est lorsque vous utilisez votre téléphone mobile lorsque vous voyagez occasionnellement à l’extérieur du pays (et du monde extérieur!)

En vacances au Brésil, andré reçoit ce message de son opérateur mobile l’informant d’une facturation hors forfait. quel paramètre a-t-il oublié de désactiver sur son smartphone ?

L’itinérance, ou même simplement appeler un numéro de téléphone portable tout en effectuant d’autres fonctions telles que l’appel d’un ami, la vérification de ses e-mails, etc., peut être utile et utile pour ceux qui utilisent des téléphones portables à l’extérieur, lorsque le monde ne cherche pas à profiter du mêmes choses.

Le terme peut être très déroutant lorsqu’on demande aux gens de choisir le type de service Internet à utiliser et celui à utiliser. Ce qui rend les gens déroutants, c’est que le fournisseur d’accès Internet (FAI) ne spécifie généralement pas l’option qui sera utilisée. Cela signifie qu’à l’exception des services de fournisseur d’accès Internet (FAI) qui utilisent un nom différent, très peu d’entreprises utilisent des versions différentes du même service.

Les autres types courants de services Internet sont la connexion Internet haut débit et la connexion Internet cellulaire. La plupart des opérateurs de téléphonie mobile sont également connus sous le nom de réseaux d’accès Internet.

Types de réseau et types de services

L’utilisation du réseau est l’un des problèmes les plus importants des réseaux mobiles mobiles. Le type d’opérateur de réseau le plus souvent requis pour autoriser l’itinérance est généralement Internet.

C’est également ainsi que certains services existent pour faciliter l’utilisation des données mobiles.

External link

https://www.cleverfiles.com/fr/

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Avast_Antivirus

https://www.lifewire.com/what-is-antivirus-software-152947

Internal links – En vacances au Brésil, andré reçoit ce message de son opérateur mobile l’informant d’une facturation hors forfait. quel paramètre a-t-il oublié de désactiver sur son smartphone ?

https://128mots.com/index.php/en/2021/03/16/blocking-request-from-unknown-origin-jupyter/embed/#?secret=tfjqWZGh7C https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/embed/#?secret=2Y7GouAPDH https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/

Avant de se créer un compte, amandine a recherché sur le web la façon dont facebook peut utiliser ses informations personnelles. retrouvez cette page. Quel est son titre ?

De nombreux internautes demandent avant de se créer un compte, amandine a recherché sur le web la façon dont facebook peut utiliser ses informations personnelles. retrouvez cette page. quel est son titre ? Ici nous allons voir comment cela fonctionne.

Ce document s’appelle “Privacy policy” en anglais en Français je dirais “Politique de confidentialité”

Une politique de confidentialité est un document contenu sur un site Web qui explique comment le site Web ou une organisation recueille, stocke, protège et utilise les informations personnelles fournies par ses utilisateurs.

Cependant, la définition exacte des informations personnelles variera en raison des différentes lois et réglementations.

Avant de se créer un compte, amandine a recherché sur le web la façon dont facebook peut utiliser ses informations personnelles. retrouvez cette page. Quel est son titre ?

Selon la loi, la plupart des pays / régions vous obligent à collecter des informations personnelles auprès des utilisateurs et vous devez établir une politique de confidentialité.

D’un point de vue commercial, l’élaboration d’une politique de confidentialité est également essentielle pour maintenir la transparence et établir la confiance avec les visiteurs de votre site Web.

External link

https://www.cleverfiles.com/fr/

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Avast_Antivirus

https://www.lifewire.com/what-is-antivirus-software-152947

Internal links – Avant de se créer un compte, amandine a recherché sur le web la façon dont facebook peut utiliser ses informations personnelles. retrouvez cette page. Quel est son titre ?

https://128mots.com/index.php/en/2021/03/16/blocking-request-from-unknown-origin-jupyter/embed/#?secret=tfjqWZGh7C https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/embed/#?secret=2Y7GouAPDH https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/

Comment appelle-t-on un logiciel capable de détecter et stopper des logiciels malveillants ?

Si comme de nombreuses personnes vous vous demandez comment appelle-t-on un logiciel capable de détecter et stopper des logiciels malveillants ?

Ce logiciel s’appelle un antivirus

Qu’est-ce qu’un antivirus sur un ordinateur?

Un logiciel malveillant est un virus qui est transmis à son système d’exploitation hôte. C’est presque toujours une mauvaise idée d’installer un mauvais antivirus pour éviter que cela ne se produise.

Comment certaines personnes sauront-elles qu’elles ont besoin d’une protection?

Comment appelle-t-on un logiciel capable de détecter et stopper des logiciels malveillants ?

Certaines personnes n’ont peut-être jamais entendu parler de logiciel antivirus. Certains peuvent même ne pas avoir Internet à portée de main, tandis que d’autres peuvent être à l’université. Il n’y a donc aucune garantie que tout le monde possède la même chose qu’un antivirus de confiance et que l’ordinateur doté de cet outil n’exécutera pas réellement un antivirus.

Pourquoi ont-ils écrit un logiciel pour empêcher cela?

La bonne nouvelle est qu’il peut vous protéger et vous protéger contre les logiciels malveillants à votre insu. C’est parce que l’outil que vous utilisez pour protéger votre ordinateur peut vous protéger, vous et votre personnel. La mauvaise nouvelle est que la plupart des PC actuels ne gèrent pas très bien ces menaces.

Comment un navigateur fonctionne-t-il sur votre ordinateur?

Il vous suffit de brancher votre navigateur sur un ordinateur de bureau et d’ouvrir l’explorateur de fichiers. Ce faisant, vous recevrez une boîte de dialogue vous indiquant comment utiliser votre navigateur.

External link

https://www.cleverfiles.com/fr/

https://fr.wikipedia.org/wiki/Microsoft_Excel

https://fr.wikipedia.org/wiki/Avast_Antivirus

https://www.lifewire.com/what-is-antivirus-software-152947

Internal links – Comment appelle-t-on un logiciel capable de détecter et stopper des logiciels malveillants ?

https://128mots.com/index.php/en/2021/03/16/blocking-request-from-unknown-origin-jupyter/embed/#?secret=tfjqWZGh7C https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/embed/#?secret=2Y7GouAPDH https://128mots.com/index.php/2021/05/03/comment-se-branche-un-voltmetre/