Is when a quantum computer can outperform a classical computer?

Is when a quantum computer can outperform a classical computer?

In a head-to-head comparison, a perfect, noiseless quantum computer succeded 100 percent of the time against a classical computer’s 87.5 percent. Researchers at IBM have mathematically proven that there are certain functions restricted classical computers cannot perform but restricted quantum computers can.

How quantum computing is better than classical computing?

Quantum computers will soon be able to tackle certain types of problems — especially those involving a daunting number of variables and potential outcomes, like simulating drug interactions or optimizing supply chain logistics — much faster than any classical computer.

Will quantum computing replace supercomputer?

tl;dr: No, quantum computers will not replace classical computers. Both systems coexist and each will specialize on those tasks they can do better. Sure, you can achieve quantum supremacy, meaning you can do certain tasks way faster on quantum computers than on any classical supercomputers.

Can we make large-scale quantum computers a reality?

We still lack the quantum error correction (QEC) technology to make large-scale quantum computers a reality. In theory, QEC enables building reliable quantum circuits from unreliable components that are “good enough”, as quantified by the error threshold theorem.

Is there a quantum advantage with noisy shallow circuits?

In the new paper, “ Quantum advantage with noisy shallow circuits ,” an international team of researchers including myself seek to answer that question by proving a separation between the power of noisy quantum and that of noiseless classical computations, which obey certain technical restrictions.

Can a noisy quantum computer solve the Mermin-Peres magic square game?

Published in Nature Physics, our paper proposes a computational problem related to the so-called Mermin-Peres Magic Square game, which can be efficiently solved on a noisy quantum computer provided that the noise level is below a certain constant threshold value.

Can a parallel quantum algorithm solve the magic square problem?

Put another way, the problem can be solved by a parallel quantum algorithm in a constant time independent of the problem size, even if the algorithm is implemented on a noisy hardware. The main technical result of the paper is establishing the classical hardness of the Magic Square problem.