Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

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 ...

DAEJEON, South Korea (October 14, 2024) – Qunova Computing, a developer of quantum software applications designed to bring quantum computing to the chemical, pharmaceutical and industrial engineering ...

Quantum computers use qubits, which are based on quantum physics, allowing them to solve complex problems far faster than ...

The federal government has drawn a line: encryption that protects bank transactions, power grids, and classified communications will not survive the arrival of large-scale quantum computers, and the ...

The parity-identification problem fits naturally into this landscape. Parity is a global property, insensitive to most local details. In this respect, it resembles many other quantities studied in ...

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 ...

How does quantum computing help the finance industry? QCs are only in the developmental stage; experiments are already showing their great potential in the finance industry. Based on the World ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...