Classical computing:
For binary bits measurements:
a0b0 + a0b1 + a1b0 - a1b1 <=2
In quantum mechanics
For using qubits, it can violate the the inequlity:
At Bell state / entanglement
Classical computing:
For binary bits measurements:
a0b0 + a0b1 + a1b0 - a1b1 <=2
In quantum mechanics
For using qubits, it can violate the the inequlity:
At Bell state / entanglement
#AES round key (128 bits)current round key = w0, w1, w2, w3 (column, vertical)w0=column 1, w1 = c.2, w2 = c.3, w3 = c.4g(w3) calculation:
1) shift left, 2) apply s-box,
3) add round constant (01,00,00,00)new roundkey: w4, w5, w6, w7
w4 = w0 xor g(w3), w5 = w4 xor w1,
w6 = w5 xor w2, w7 = w6 xor w3
Online service (browser-based)
https://console.aws.amazon.com/polly/home/SynthesizeSpeech
(Log on to aws, go to Polly. Very simple)
Command Line interface (CLI) service
1 Log on to aws and create an IAM user
aws polly synthesize-speech ^--output-format mp3 ^--voice-id Joanna ^--text "Hello, my name is Joanna. I learned about the W3C on 10/3 of last year." ^hello.mp3hello.mp3
aws polly synthesize-speech^ // load text from a file--output-format mp3 ^--voice-id Brian^--text file://war1.txt ^war1.mp3
aws polly start-speech-synthesis-task ^ //save to S3--engine neural ^--region us-west-2 ^--endpoint-url "https://polly.us-eest-1.amazonaws.com/" ^--output-format mp3 ^--output-s3-bucket-name chris.hare ^--voice-id Joanna ^--text file://war1.txt
With SSML (synthesis markup language), you add tags such as news, conversational, lexicon and add break, emphasis, etc.
There are three important properties of quantum mechanics:
Superposition, Entanglement, and Interferences
Superposition
For colors, b/w has 2 colors, gif has 256 colors, same as VGA (2^8), SVGA has 2^16=65536 colors, true color (24bit) has 2^24 = 16 million, deep color has 2^30 = 1 billon colors. Now we are using digital computer. The binary system has two numbers 0 and 1. So we are at b/w stage.
For music, bugle has 5 notes (or may be three), march/pop songs/national anthem uses mostly 7 notes, opera/orchestra/Mozart uses 12 notes. As we know, orchestra has more details and rich melody than bugles. You can consider using a digital computer is kind of listening bugle instead of orchestra music.
The superposition property enables quantum computers to represent more information in each unit (qubit) therefore a vast amount of data can be processed in one step.
Entanglement
We know that twin brothers or sisters can somehow "communicate" even though they are physically apart. It seems there is something (or someone) that sends information between each other.
Players in Matching bands synchronize with the conductor. This means, one move, all follows.
The entanglement property "sends" information from one particle to another without delay. It seems there is a super force (God?) to control the particles' rotations with the identical angles along XYZ axes. Once entangled, one can control all qubits by just manipulating one qubit. (The others will follow). It functions like a lever.
Interferences
Throwing two rocks in still water you will see waves and when two waves meet, they add or cancel base on the phases of the waves.
A clock (minute hand) is a good example to explain phases. 12 o'clock is considered phase = 0, at 5 minute phase = 15 (degree), at 15 minute phase = 90. After one hour, the minute hand goes back to phase =0.
---------------
Summary
Entangled qubits have a vast number of different phases (considering distributing on a clock), most of them cancel each other (eg. 5 minute and 35 minute cancel each other). Some add up (remember waves). In the end, a few that with same phase become much larger (fit) than the rest. They are the solutions to the problem.
If you know genetic algorithm or evolutionary computation, it functions similar, same is true comparing to the human evolution. The fit species remain and get better (more fit). Unfit species disappear.
[This explanation uses a form of story teller rather than Einstein level scientific definitions and quantum theory.]
Bulk_extractor is a program that extracts features such as email addresses, credit card numbers, URLs, and other types of information from digital evidence files. It is a useful forensic investigation tool for many tasks such as malware and intrusion investigations, identity investigations and cyber investigations, as well as analyzing imagery and pass-word cracking.
Tensor product is an outer product of two vectors. Here are some examples:
For two qubits:
For three qubits:
In "general",
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{
"Id": "Policy1605400973864",
"Version": "2012-10-17",
"Statement": [
{
"Sid": "Stmt1605400930003",
"Action": "s3:*",
"Effect": "Allow",
"Resource": "arn:aws:s3:::cosc590.bucket\*",
"Principal": "*"
}
]
}