Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...

Researchers from the group of theoretical physicist Hans Briegel have collaborated with NVIDIA to develop an AI method that ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Scientists in Germany have pulled off a staggering computing feat by fully simulating a 50-qubit quantum computer for the ...

An international research team has developed a particle swarm optimization (PSO) algorithm based on quantum computing for real-time maximum power point tracking (MPPT) implementation in PV systems.

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 ...

SHENZHEN, China, April 24, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo"), announced today the development of an innovative technology, the Classical Boosted Quantum ...

The global logistics landscape faces increasing unpredictability due to factors like labor shortages, regional conflicts, climate change and fluctuating demand patterns. Traditional computing methods ...

KARLSRUHE, Germany & COLLEGE PARK, Md.--(BUSINESS WIRE)--Kipu Quantum, a leader in application and hardware-specific quantum computing solutions, and IonQ (NYSE: IONQ), a leading commercial quantum ...

Quantum algorithms and computation is a research area focused on exploiting quantum mechanical principles—such as superposition, entanglement, and interference—to design computational models and ...

While the billion-dollar question is about when quantum computing will become commercially viable, one of the problems being tackled at the moment is how to make the ...