A device made from superconducting qubits could prove a powerful technology for enabling practical quantum computing or more ...

Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

The race against Q-Day has begun, and success will require not just technical innovation, but the wisdom to learn from each ...

Rice computer scientists have developed algorithms that account for quantum noise that is not just random, but malicious ...

Quantum researchers have created a new algorithm that can reduce noise in qubits while they are working, and it does this in ...

Quantum computer succeeds where a classical algorithm fails Quantum computers coupled with traditional machine learning show clear benefits.

Algorithms using computers first rose to prominence in the mid-20th century, when the military began writing formulas for, say, determining where to aim a missile at a moving object.

Algorithms – basically sets of instructions – are written by humans and translated into a sequence of operations that computer hardware can execute.

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer science.

The researchers who developed these NIST-backed algorithms say they can effectively simulate how long it will take a quantum computer to solve a problem.

Machine learning is all about getting computers to "understand" new concepts, but it's still a pretty inefficient process, often requiring hundreds of examples for training. That may soon change ...