A new algorithm can further exploit the twin challenges of information loss and translation to mimic a quantum computer with far fewer resources than previously ...

Seeking to reduce the computing power needed for the widely used dynamic mode decomposition algorithm, a team of researchers in China led by Guo-Ping Guo developed a quantum-classical hybrid algorithm ...

Nissan Motor Co., Ltd. announced that it has conducted research on vehicle aerodynamic analysis using quantum computing in ...

Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...

Despite steady improvements in quantum computers, they're still noisy and error prone, which leads to questionable or wrong answers. Scientists predict that they won ...

Today's quantum computers often calculate the wrong answer because of noisy environments that interfere with the quantum entanglement of qubits. IBM Quantum has ...

Here, the team led by Lidar used an algorithm they modified for the quantum computer to solve a variation of "Simon's problem," an early example of quantum algorithms that can, in theory, solve a task ...

The Willow processor runs the first verifiable algorithm with real-world applications, marking a shift from theory to practical quantum computing. Google Quantum AI has demonstrated what it describes ...

Imagine you visit a maze with some friends. You emerge from the exit shortly after going in, and wait around for hours before your friends emerge. Naturally, they ask about the path you took — surely ...

Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...