A quantum bit—usually called a  qubit —is the basic unit of information in quantum computing. To understand it, it helps to start with something familiar: the bit used in traditional computers. Every digital system today, from smartphones to large data centers, ultimately processes information using bits. A bit can have only two possible states:  0 or 1 . All software, analytics, artificial intelligence models, and enterprise systems run on enormous combinations of these two

Some companies begin with a market opportunity. Others begin with technology. Quando began with a long personal journey, a growing sense of discomfort with how things are done today, and a conviction that a new computational paradigm— Quantum AI —will redefine how organizations create value. For more than two decades, quantum computing has been quietly evolving. Long before it started appearing in headlines or strategy decks, it was already the subject of deep scientific work

The concept of  AI Value-critical Processes  was introduced by  Quando  to describe a specific class of business processes where artificial intelligence directly affects a company’s financial performance. While many organizations use AI to improve efficiency or automate routine tasks, AI Value-critical Processes sit much closer to the economic core of the enterprise. Most companies already apply AI in areas such as customer service automation, document classification, interna

Artificial Intelligence has electrified the corporate world, automating routine tasks, supercharging decision-making, and unlocking efficiencies across industries. Yet as we navigate 2026, classical AI's explosive growth is slamming into computational walls, where escalating complexity outpaces even the mightiest server farms. Quantum AI emerges as the game-changer—a fusion of quantum computing's radical parallelism with AI's pattern mastery—poised to conquer "intractable" pr

The AI Scaling Trap The era of "more" is over. For a decade, the world assumed AI performance would scale infinitely with more data and more hardware. It won’t . We have hit a structural ceiling. While AI complexity grows exponentially, costs are growing faster than returns. In the realm of high-stakes decision-making, marginal gains now require disproportionate energy and capital. The economics of classical AI are no longer sustainable. Quando refuses to accept that progress