Just a decade ago, it was nothing more than the dream of scientists in the lab. Recent advances by IBM, IonQ, Nvidia, and ...

Quantum computers promise speedups across a sweeping range of problems, from factoring large integers to simulating molecules ...

Medical imaging has long faced a stubborn trade-off: the filters and algorithms that clean noise out of a computed tomography ...

DecaQ Launches Cloud Beta 2 with 400 Logical Digital Qubits, Six Quantum Algorithm Families and up to 200,000 digital ...

Quantum advantage refers to the point at which a quantum computer solves a clearly defined task faster or more efficiently than any classical computer—or makes it solvable in the first place. For many ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

To progress in the characterization of noise for quantum computers, gate set tomography (GST) has emerged as a self-consistent protocol that accurately estimates noisy gates, state preparations, and ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities.

Quantum is quickly advancing toward commercial utility, bringing revolutionary benefits to numerous industries and solving intractable problems. Quantum computing's potential stems from its very ...

Not only do agencies and boardrooms need to make sure they are prepared for AI-powered attacks, but they are now being asked ...