\which statement describes the current availability of quantum computers?\

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Which statement describes the current availability of quantum computers? a. They are currently only available on certain mobile devices. b. They are owned by a few companies, but available to many. c. They will be developed for home installation within the next decade. d. They are widely available and affordable in consumer retail stores. e. I don't know this yet.

The Answer is B. They are owned by a few companies, but available to many.

A quantum computer is a type of computer technology that performs information processing using qubits. This qubit system allows the use of transistors valued at 1 or 0 simultaneously. In contrast to classic computers or computers in general, which can only use one transistor, namely 1 or 0.

Thus, it can be said that a quantum computer is a technology with a more sophisticated system than an ordinary computer. If ordinary computers are used to do light data processing, quantum computers can do more complicated jobs. Such as simulation and data analysis, testing the discovery of chemical drugs, to various affairs in all fields. Be it finance, military, intelligence, space design, nuclear fusion, polymer design, machine learning and artificial intelligence, to big data search and digital manufacturing.

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Let's look at example that shows how quantum computers can succeed where classical computers fail: 

A supercomputer might be great at difficult tasks like sorting through a big database of protein sequences. But it will struggle to see the subtle patterns in that data that determine how those proteins behave.

Proteins are long strings of amino acids that become useful biological machines when they fold into complex shapes. Figuring out how proteins will fold is a problem with important implications for biology and medicine.

A classical supercomputer might try to fold a protein with brute force, leveraging its many processors to check every possible way of bending the chemical chain before arriving at an answer. But as the protein sequences get longer and more complex, the supercomputer stalls. A chain of 100 amino acids could theoretically fold in any one of many trillions of ways. No computer has the working memory to handle all the possible combinations of individual folds.

Quantum algorithms take a new approach to these sorts of complex problems -- creating multidimensional spaces where the patterns linking individual data points emerge. In the case of a protein folding problem, that pattern might be the combination of folds requiring the least energy to produce. That combination of folds is the solution to the problem.

Classical computers can not create these computational spaces, so they can not find these patterns. In the case of proteins, there are already early quantum algorithms that can find folding patterns in entirely new, more efficient ways, without the laborious checking procedures of classical computers. As quantum hardware scales and these algorithms advance, they could tackle protein folding problems too complex for any supercomputer.

How complexity stumps supercomputers

Proteins are long strings of amino acids that become useful biological machines when they fold into complex shapes. Figuring out how proteins will fold is a problem with important implications for biology and medicine.

A classical supercomputer might try to fold a protein with brute force, leveraging its many processors to check every possible way of bending the chemical chain before arriving at an answer. But as the protein sequences get longer and more complex, the supercomputer stalls. A chain of 100 amino acids could theoretically fold in any one of many trillions of ways. No computer has the working memory to handle all the possible combinations of individual folds.

Quantum computers are built for complexity
Quantum algorithms take a new approach to these sorts of complex problems -- creating multidimensional spaces where the patterns linking individual data points emerge. Classical computers can not create these computational spaces, so they can not find these patterns. In the case of proteins, there are already early quantum algorithms that can find folding patterns in entirely new, more efficient ways, without the laborious checking procedures of classical computers. As quantum hardware scales and these algorithms advance, they could tackle protein folding problems too complex for any supercomputer.

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What is the current availability of quantum computers?

Today, there are no quantum computers that can manage the massive number of qubits needed to perform the factoring required to crack current security. But in 10 to 20 years from now, this is likely to change, which would put businesses, including the finance industry, at increased risks.

Which statement describes the current availability of quantum computers they are currently only available on certain mobile devices?

Final answer: b. They are owned by some companies, but available to many.

What is the current condition regarding the advancement of quantum computing?

Answer: Option d) Existing cryptography may be easily cracked is a current concern regarding the advancement of quantum computing. Explanation: Quantum computing exists as a rapidly-emerging technology that harnesses the regulations of quantum mechanics to solve situations too complex for classical computers.