Learn about current advancements in quantum sensing technology and what's still to come in the quantum space from experts at ...

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

Many complex quantum systems rapidly lose the recognizable patterns of their initial states as their components interact. To ...

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 ...

A new theoretical framework separates computational speed from statistical generalization in quantum machine learning, showing that faster quantum algorithms alone do not guarantee better learning ...

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 ...

Q-day is shorthand for the point when a cryptographically relevant quantum computer can break widely used public-key ...

Quantum computing is becoming real and will soon be able to solve problems well beyond the capabilities of today's fastest supercomputers. In the wrong hands, however, quantum computers will also ...