Researchers cannot use this algorithm to simulate every computation that a quantum computer can do. He calls the back and forth between the quantum- and classical-computing communities a “symbiotic ...

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

"We have shown that you can take classical algorithms that run on high-performance classical computers and combine them with quantum algorithms that run on quantum computers to get useful chemical ...

Physicists have introduced an approach for simulating the quantum approximate optimization algorithm using a traditional computer. Instead of running the algorithm on advanced quantum processors ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

How this UW grad student, researching quantum computing, proved that classical computers are better than we thought. by Tom Krazit on December 5, 2018 at 10:00 am December 4, 2018 at 4:17 pm ...

Shor’s algorithm sparked major interest in quantum potential. In 1994, MIT professor Peter Shor introduced an algorithm that could factor large numbers exponentially faster than classical algorithms.

Big Blue's quantum team has mathematically demonstrated that a quantum algorithm could work better than a classical one for machine-learning classification problems.

The quantum software the researchers are considering is known as Quantum Approximate Optimization Algorithm (QAOA), and it's used to solve classical optimization problems in mathematics.

Quantum computing on the other hand deals with finding or creating the appropriate algorithms for a solution. From the programming point of view, quantum computing is mostly math.