𝐅𝐫𝐨𝐦 𝐓𝐫𝐚𝐧𝐬𝐢𝐬𝐭𝐨𝐫𝐬 𝐭𝐨 𝐓𝐨𝐩𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐂𝐨𝐫𝐞𝐬, 𝐓𝐡𝐞 𝐍𝐞𝐱𝐭 𝐋𝐞𝐚𝐩 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧

Every technological revolution starts with a fundamental shift in how we process information.
• The transistor gave us modern computing,
• The semiconductor gave us smartphones,
• Now, the Topological Core is aiming to unlock quantum computing at scale.

Yet, quantum computing has spent years in the “potential” phase, always promising, never quite practical. The real challenge? Scaling it. Today’s quantum systems are impressive in theory, but in practice, they struggle with stability, error correction, and sheer computational overhead. Enterprises need something that actually works before they can start betting on it.

Microsoft says it may have found that missing piece with its Majorana 1 chip, a new approach that could finally provide a scalable path forward. Whether it plays out as expected is another story, but it’s an exciting shift that’s worth paying attention to.

𝐖𝐡𝐚𝐭’𝐬 𝐚 𝐓𝐫𝐚𝐧𝐬𝐢𝐬𝐭𝐨𝐫?

Think of a transistor as a switch, turning electrical signals on (1) or off (0) to process information. This is the foundation of every AI model, enterprise system, and automation tool today.

𝐄𝐧𝐭𝐞𝐫 𝐭𝐡𝐞 𝐐𝐮𝐛𝐢𝐭, 𝐓𝐡𝐞 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐓𝐫𝐚𝐧𝐬𝐢𝐬𝐭𝐨𝐫

A qubit is the quantum version of a transistor. But unlike classical bits that are either 1 or 0, qubits can be both at the same time (thanks to superposition).

This means quantum computers can explore multiple solutions simultaneously, unlocking exponential computing power.

If it works as advertised, here’s why it’s a big deal,
✅ More stability → Less error correction → Potentially more practical quantum computing,
✅ Digital control → No fine-tuning needed → Easier to scale,
✅ Path to a million qubits? → The magic number everyone’s chasing.

𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐈𝐬 𝐓𝐚𝐤𝐢𝐧𝐠 𝐒𝐡𝐚𝐩𝐞, 𝐁𝐮𝐭 𝐈𝐭’𝐬 𝐒𝐭𝐢𝐥𝐥 𝐄𝐚𝐫𝐥𝐲

For years, quantum computing has been a “what if” conversation. Now, it’s starting to look more like a “what’s next” conversation.

Microsoft has laid out a bold vision, and they aren’t alone. Other companies are pushing forward too, each with their own approach. Will topological qubits be the breakthrough? Or will another method prove to be the winner? That’s what makes this exciting, it’s still being written.

One thing is certain, the companies that win in the AI race won’t just have the best models, they’ll have the best compute.

hashtag#HumanFirst hashtag#Leadership hashtag#TheFutureIsNow hashtag#AI

𝗡𝗼𝘁𝗶𝗰𝗲: The views within any of my posts, are not those of my employer. 𝗟𝗶𝗸𝗲 👍 this? Feel free to reshare, repost, and join the conversation.

Gartner Peer Experiences Forbes Technology Council Theia Institute VOCAL Council InsightJam.com Solutions Review PEX Network IgniteGTM