QUANTUM ED TECH FOR K-12 COMPUTER SCIENCE & NO MORE SECRETS A TIME CRYSTAL MADE REAL Will Google's quantum computer solve N-Queens & change the world?
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QUANTUM ED TECH FOR K-12 COMPUTER SCIENCE & NO MORE SECRETS A TIME CRYSTAL MADE REAL Will Google's quantum computer solve N-Queens & change the world?

Google claims it's achieved 'quantum supremacy' - using a
quantum device to solve problems that no classical machine 
can.?According to Google, the newest version of its 
Sycamore quantum processor runs 70 qubits, more than 
its earlier version of Sycamore that had 53 qubits.         

What is 42 (h2g2, meaning of life, The Hitchhiker's Guide to the Galaxy)?

In Douglas Adams'?The Hitchhiker's Guide to the Galaxy, 42 is the number from which all meaning ("the meaning of life, the universe, and everything") can be derived. However, its actual significance is open to interpretation.

A BBC News radio script based on Adams' book introduces this concept with the following lines:

  • A caveman lays out the following sentence in Scrabble stones: "What do you get if you multiply six by nine?"
  • Arthur: "Six by nine? Forty-two? You know, I've always felt that there was something fundamentally wrong with the Universe."
  • A faint and distant voice then says: "Base thirteen!"

From Tech Target:

NO MORE SECRETS - Will Google's quantum computer solve N-Queens?
After Big Blue won the Chess match against Kasparov, a paradigm 
shift occurred in computing and AI, now generative AI (Large 
Language Models) have passed the Turing Test.        

What's next? Can Google solve N-Queens. Or will it, like the computer Deep Thought in Hitchhiker's Guide to the Galaxy: crunch, crunch, crunch, crunch, crunch, crunch, beep, beep, beep.... And say: "42"?

In the balance is crypto--after N-Queens there are absolutely no secrets in the world on a wire or in the air!

The N-Queens problem is a well-known mathematical puzzle that involves placing N chess queens on an N×N chessboard in such a way that no two queens threaten each other. In other words, no two queens should share the same row, column, or diagonal.

Mathematically, the N-Queens problem can be defined as finding all possible arrangements of N queens on the chessboard that satisfy the above constraint. It has been studied extensively in computer science, mathematics, and various other fields. The problem becomes particularly challenging as the value of N increases.

In the context of the N-Queens problem, refers to the logical reasoning, algorithms, and mathematical techniques employed to solve the problem. Various algorithms have been developed to solve the N-Queens problem, including backtracking, constraint satisfaction, genetic algorithms, and more. Logos represents the logical approach and systematic thinking involved in solving the problem.

Advancements in solving NP-complete problems could have broader implications for computational power and competitiveness. If significant breakthroughs occur in solving NP-complete problems efficiently, it could impact fields such as optimization, logistics, scheduling, and resource allocation, leading to more efficient algorithms and improved competitiveness in various industries.

Explore the possibilities of quantum - Google Quantum AI 
is advancing the state of the art of quantum computing
 and developing the tools for researchers to operate
 beyond classical capabilities. https://quantumai.google  

        

The N-Queens problem is an example of a computationally challenging problem known as an NP-complete problem. NP-complete problems are a class of problems that are difficult to solve efficiently, meaning there is no known algorithm that can solve them in polynomial time. Many cryptographic algorithms, such as those based on factoring large numbers or solving the discrete logarithm problem, rely on the difficulty of certain NP-complete problems for their security.

Furthermore, advancements in solving NP-complete problems could have broader implications for computational power and competitiveness. If significant breakthroughs occur in solving NP-complete problems efficiently, it could impact fields such as optimization, logistics, scheduling, and resource allocation, leading to more efficient algorithms and improved competitiveness in various industries.

Claire Leeuwen

Verkoop Binnendienst

1 年

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