What is the other types of OLAP apart from ROLAP A. Computer Networking Objective Questions and Answers. Which.For some problems, supercomputers aren’t that super.Computer Networking multiple choice questions and answers PDF for freshers and experienced. Which of the following protocol is used for remote terminal connection service Question: 2.
Mcq On Computer Network Series Of Multiple
In this series of Multiple Choice Question set you will get MCQ Questions from Computer Networking, Computer Network in a sentence, Collection of Computers and Hardware Components interconnected by various communication channels that allow sharing of resources and information.The main characteristics of fourth generation of computers (1970s-present) Network a group of two or more computer systems linked together. However, even supercomputers struggle to solve certain kinds of problems.Multiple Choice Questions of Computer Networking - Set 1. These are very large classical computers, often with thousands of classical CPU and GPU cores. On which of the following devices do end users to access network applications Hub Switch Router Host A company has.When scientists and engineers encounter difficult problems, they turn to supercomputers. 3.Question: Computer Network MCQ.
But as the protein sequences get longer and more complex, the supercomputer stalls. 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 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. Sorting out the ideal routes for a few hundred tankers in a global shipping network is complex too.Some complex problems are less obvious: A supercomputer would struggle to find the ideal seating arrangement of even 10 guests at a dinner party if they don't all want to sit next to one another, or to find the prime factors of a big number.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. Modeling the behavior of individual atoms in a molecule is a complex problem, because of all the different electrons interacting with one another. When classical computers fail, it's often due to complexityComplex problems are problems with lots of variables interacting in complicated ways.
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. 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 a protein folding problem, that pattern might be the combination of folds requiring the least energy to produce. 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.
A quantum computer uses qubits (CUE-bits) to run multidimensional quantum algorithms.Your desktop computer likely uses a fan to get cold enough to work. And a quantum hardware system is about the size of a car, made up mostly of cooling systems to keep the superconducting processor at its ultra-cold operational temperature.A classical processor uses bits to perform its operations. An IBM Quantum processor is a wafer not much bigger than the one found in a laptop. As quantum hardware scales and these algorithms advance, they could tackle protein folding problems too complex for any supercomputer.Quantum computers are elegant machines, smaller and requiring less energy than supercomputers. 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. Classical computers can not create these computational spaces, so they can not find these patterns.
Quantum algorithms leverage those relationships to find solutions to complex problems. When two qubits are entangled, changes to one qubit directly impact the other.
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