Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Global semiconductor sales reached $630.5 billion in 2024, exceeding earlier predictions and reaching above $600 billion in ...

Winning the lottery remains one of the most tantalizing dreams worldwide, and as we move through 2025, many are curious about ...

Explore the comprehensive 2024 global cloud computing market report, featuring trends, forecasts to 2030, and regional analyses (Americas, Europe, APAC, MEA). Includes data on service models, ...

Amazon Braket expands its quantum hardware lineup, allowing users to choose between IQM's 20-qubit Garnet and the 54-qubit ...

Credited to advancements in its quantum computing, MicroAlgo Inc (NASDAQ: MLGO) experienced a 3% increase in its pre-market ...

Quantum machine learning (QML) combines quantum computing principles with artificial intelligence to solve problems that classical algorithms struggle to address.

AI and quantum development won't be slowing down any time soon, and hackers are only getting more sophisticated.

Using a process known as “magic state distillation” in logical qubits will help make future quantum computers more fault-tolerant.

Solving a quantum-mechanical equation called Schrodinger's equation yields this wave function. Many classical algorithms struggle to solve the correct wave function of the [4Fe-4S] molecular cluster.

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The researchers ...