Examples of using Quantum computers in English and their translations into Bengali
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Colloquial
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Ecclesiastic
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Computer
The first is quantum computers.
Quantum Computers Part 1- what?
Why don't we have quantum computers yet?
The quantum computers are coming!
So why don't we just build quantum computers.
Useful quantum computers will require.
Who is in the race to build quantum computers?
Quantum computers will change everything.
This is not to undersell what quantum computers could do.
Quantum computers can handle any task.
There is no end of imagination about quantum computers.
Quantum computers can be called all working things.
Researchers have been trying to build quantum computers for decades.
Quantum computers don't need too much electricity.
For the last couple of decades,we have been hearing a lot about quantum computers.
Quantum computers rely on quantum bits, or“qubits.”.
Classical computers won't be replaced by quantum computers;
Quantum computers can break most of the current encryption methods.
A number of algorithms have already been created for quantum computers.
Only 4 Quantum computers can fulfill the need of the whole USA!
British economist The Economist says quantum computers will be able to do whatever they want in the company.
Quantum computers could tackle problems that current supercomputers can't.
Telegraph says effective quantum computers can open up the gap in infinite possibilities.
(4 quantum computers can fulfill all computer needs of entire America)!
This is not that quantum computers have now superseded classical computers. .
Quantum computers will be able to solve problems that current computers cannot.
All other countries exploring quantum computers, including the European Union and India, are spending only a fraction of what the U. S.
Quantum computers will be able to provide computing power, which is not possible for conventional classical computers. .
Telegraph says quantum computers can break the cryptography of the current internet encryption.
However, quantum computers can estimate Gauss sums to polynomial precision in polynomial time.