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 ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

One of the potential advantages of quantum computers that scientists are most hopeful about is molecular simulations. These simulations are too complex for classical computers to perform with enough ...

Many experts believe that once quantum computers are big enough and reliable enough to solve useful problems, the most common deployment architecture will be to have them serve as accelerators for ...

Quantum-resistant tokens use advanced cryptographic methods to protect against the powerful capabilities of quantum computers. Quantum-resistant tokens are a new generation of cryptocurrencies built ...

Quantum computing is no longer a distant research project—it’s steadily moving toward real-world capability. While large-scale, fault-tolerant quantum computers aren’t ...

Device security requires designers to secure their algorithms, not only against direct attacks on the input and output, but also against side-channel attacks. This requirement is especially notable ...