Quantum computing has long lived in the realm of lab demos and bold PowerPoint slides, but two of the industry’s biggest players now say the first truly useful machines are less than five years away.

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

Forbes contributors publish independent expert analyses and insights. Paul-Smith Goodson is an analyst covering quantum computing and AI. IBM’s 300mm quantum processor wafer features multiple chips ...

HSBC used IBM's quantum computers to improve a process involved in algorithm bond trading. The collaboration demonstrated that pairing quantum computers with classical techniques can provide ...

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

The quantum AI market is poised for transformative growth, driven by its ability to optimize systems, enhance decision-making, and revolutionize sectors like healthcare and finance. Key opportunities ...

TECH giant IBM’s latest announcements at the Quantum Developer Conference signal a critical inflection point for enterprise quantum computing, as the technology giant outlines an aggressive path ...

Overview: Quantum computing promises exponential speedups for complex healthcare problems like molecular simulation, genomics, and precision medicine, but real- ...

Genya Crossman is a lifelong learner passionate about helping people understand and use quantum computing to solve the world’s most complex problems. Crossman, an IEEE member, is a quantum strategy ...

International Business Machines (NYSE: IBM) has been working on quantum computing technology for decades. The company's quantum computing roadmap calls for a demonstration of quantum advantage, where ...