Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

These problems, the authors show, can be solved on a quantum computer in what's called polynomial time, where the number of qubits is raised to a constant power (denoted n k).Using classical ...

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 ...

Japan now hosts the world’s most advanced quantum–classical hybrid setup, pairing IBM’s cutting-edge quantum system with one ...

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 ...

Quantum computers have the potential to speed up computation, help design new medicines, break codes, and discover exotic new ...

As explained by Quanta Magazine, a technical journal on quantum computing, Tang demonstrated that sampling techniques used in a well-known quantum recommendation algorithm could be replicated in ...

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

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.

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.