A Quantum Computing Refresher
The basics of quantum computing can be hard to comprehend — and even more difficult to remember. Here are five key points to keep in mind, in commonsense language.
The basics of quantum computing can be hard to comprehend — and even more difficult to remember. Here are five key points to keep in mind, in commonsense language.
Quantum computing poses one clearly identified threat — the ability to compromise almost all current digital encryption. Here’s how to prepare today.
Responsible for ensuring the safety of the various ways we travel, transportation agencies are challengedto reduce crashes and ensure the efficient movement of people and goods. In order to do that effectively, agencies must rely on data to help create new approaches to safety, resiliency, operations, and planning, and to address challenges such as congestionRead… Read more »
Agencies seek AI transformation but still use procurement systems designed for the last century. To fix it, embed agility and accountability into every acquisition.
The basic unit of quantum computing, the qubit, sounds like something you could buy one at a store. But it’s not. Here’s some background on quantum.
Quantum technology will require a specialized workforce — but it won’t all be high-level researchers, engineers and computer scientists.
AI pilots may seem affordable, but production-scale inference brings spiraling costs and energy demands. Make AI both scalable and responsible.
Agencies provide a lot of services. Could a superapp make it easier for citizens to use the services from various agencies? Learn more about this new platform model.
New quantum chips are bringing the technology closer to practical application, moving us closer to what’s called quantum advantage — the point at which a quantum computer can perform a task faster and more efficiently than a conventional computer. Why It Matters Except for a few experimental instances, today’s quantum computers can’t yet outdo classicalRead… Read more »
AI algorithms need reliable, high-quality data to generate high-quality results. Learn how to implement a data strategy that leads to more trusted sources and truer AI answers.