MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

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 ...

Collaboration delivered a successful solution for the most complex known protein folding problem ever executed on a quantum computer KARLSRUHE, Germany & COLLEGE PARK, Md.--(BUSINESS WIRE)-- Kipu ...

Quantum computing presents opportunities in strategic planning and discovery through complex simulations, but also risks in data security via Shor’s algorithm. Businesses must prepare now to leverage ...

Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to ...

New Quantum-as-a-Service platform helps entrepreneurs analyze complex tax, investment, and financial decisions faster ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

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 ...

Uptick in end users, independent software vendors, system integrators and resellers implementing company’s quantum optimization technology to address complex challenges New hybrid quantum solver ...

One of the biggest promises of quantum computing is the ability to simulate molecules ...