Global Quantum Intelligence co-founder Doug Finke in an IBD interview talks about key developments for quantum computing stocks, including AI and cybersecurity.

Advances like these lead me to believe that useful quantum computing is inevitable and increasingly imminent. And that’s good news, because the hope is that they will be able to perform calculations that no amount of AI or classical computation could ever achieve.

Investors consequently want to know how long before quantum computers' time has come. IonQ's Chapman put together a timeline of his own. By 2030, the CEO believes his company will generate close to $1 billion in revenue and will also be profitable.

Nvidia’s CEO, Jensen Huang, believes quantum computing is 20 years away from being “very useful”That seems a very pessimistic outlook A new IDTechEx report

Quantum computing has been an up-and-down investment theme over the past few months. The rage kicked off when Alphabet ( GOOG 1.16%) ( GOOGL 1.13%) announced a breakthrough with its Willow quantum computing chip, and any stock associated with quantum computing rose on the news of the announcement.

Quantum computing stocks were red-hot recently, but Jensen Huang just offered optimistic investors a reality check.

Quantum computing is drawing more attention now than generative AI did before ChatGPT’s release. This sparks big questions about what QC could achieve in 2025.

The model was developed by the Chinese AI startup DeepSeek, which claims that R1 matches or even surpasses OpenAI’s ChatGPT o1 on multiple key benchmarks but operates at a fraction of the cost.

Recently, Nvidia (NASDAQ: NVDA) CEO Jensen Huang made a head-turning, market-moving comment regarding his thoughts on quantum computing. Stocks in this space sold off in response. Even so ...

Quantum computing stocks represent a long-term investment opportunity that could deliver exceptional returns as the technology matures over decades. D-Wave Quantum has established commercial quantum annealing systems with proven applications in optimization problems.

In software development, there’s a need to develop algorithms and programming languages adapted to a hybrid environment of classical and quantum computing.