Rohit Baniwal, writer
By TechSun News Desk | techsunnews.com | June 19, 2026 | Tech / AI / Science | 6 min read
Quantum computing is one of those phrases that shows up everywhere — in tech news, in boardrooms, in government policy documents — and almost nobody in the room actually understands what it means.
That is not your fault. Most explanations either drown you in physics jargon or oversimplify it to the point of being useless. So here is a genuine attempt at a middle ground: accurate enough to be true, simple enough to actually make sense.
By the end of this article, you will understand what a quantum computer is, what it can and cannot do, and why it matters for your everyday life — even if you never plan to use one.
Start Here — What a Normal Computer Actually Does
To understand quantum computing, you first need a clear picture of how a regular computer works.
Everything your computer does — every email sent, every video streamed, every website loaded — is ultimately processed as a series of bits. A bit is the most basic unit of computing information. It can be in one of two states: 0 or 1. Off or on. No or yes.
Your processor works through calculations by flipping billions of these bits between 0 and 1 in sequences that, combined, produce everything from a text message to a 4K film. It is extraordinarily fast — but it is still doing one thing at a time, in sequence.
| 💡 Simple analogy: Imagine you need to find one specific book in a library. A normal computer searches shelf by shelf, one book at a time. Very fast — but sequential. |
So What Is a Qubit — And Why Does It Change Everything?
A quantum computer uses qubits instead of bits. And a qubit can be 0, 1, or — here is the part that breaks most people’s brains — both at the same time.
This is called superposition. It comes from quantum mechanics — the branch of physics that describes how matter behaves at the subatomic level, where the normal rules of the visible world do not apply.
Because a qubit can represent multiple states simultaneously, a quantum computer can explore many possible solutions to a problem at the same time — rather than testing them one by one.
| 💡 Same library analogy: A quantum computer searches every shelf simultaneously — all at once. For a small library, the difference is trivial. For a library with billions of shelves — the difference is everything. |
Add to this a second quantum property called entanglement — where two qubits can be linked so that the state of one instantly affects the other, regardless of distance — and you start to see why quantum computers can, in theory, solve certain problems that would take a normal computer longer than the age of the universe.
Normal Computer vs Quantum Computer — The Honest Comparison
Here is where it is important to be precise, because a lot of quantum hype glosses over critical limitations:
| Feature | Normal Computer | Quantum Computer |
| Basic unit | Bit (0 or 1) | Qubit (0, 1, or both at once) |
| How it processes | One calculation at a time | Many calculations simultaneously |
| Best at | Everyday tasks — email, video, web | Complex problems with huge variables |
| Speed comparison | Benchmark | Up to 1 million× faster on specific tasks |
| Current availability | In every home and office | Only in labs and specialist cloud services |
| Biggest weakness | Slow on massive calculations | Extremely fragile — must be kept near absolute zero |
| Threat to encryption | No | Yes — in theory, could break current encryption |
The key phrase in that table is “specific tasks.” Quantum computers are not better than normal computers at everything. They are dramatically better at a narrow set of problems — primarily ones involving searching through enormous numbers of possibilities, simulating complex molecular systems, or optimising highly variable scenarios.
Your normal laptop will be faster at sending an email for the foreseeable future. Quantum computers are not a replacement for conventional computing — they are a complement to it.
What Can Quantum Computing Actually Be Used For?
This is where it gets genuinely exciting, even for non-technical people:
- 💊 Drug discovery — quantum computers can simulate molecular interactions at a level of precision impossible for normal computers. A drug that might take a decade to develop through trial and error could potentially be designed in months
- 🌍 Climate modelling — the variables involved in accurately modelling Earth’s climate are staggeringly complex. Quantum systems could handle that complexity orders of magnitude faster
- 🔐 Encryption and cybersecurity — this one cuts both ways. Quantum computers could break current encryption standards that protect your banking and personal data. But they could also create unbreakable quantum encryption
- 🚗 Logistics and optimization — finding the optimal route for thousands of delivery vehicles, or the optimal configuration of a power grid, are problems where quantum approaches could save billions
- 🤖 AI training — some researchers argue quantum systems could dramatically accelerate the training of AI models, though this remains more theoretical than proven
That last point connects directly to why AI companies like Anthropic and OpenAI are consuming so much energy right now — training current AI models on classical hardware is enormously expensive and power-hungry. Quantum acceleration could change that calculus entirely, though most researchers say that is still years away.
The Encryption Problem — Should You Worry?
One of the biggest long-term concerns involves encryption., and it is worth addressing directly.
Most of the encryption that protects your data today — your bank account, your WhatsApp messages, your passwords — relies on mathematical problems that are extremely hard for a normal computer to solve. Specifically, factoring very large numbers into their prime components. It would take a normal computer millions of years.
A sufficiently powerful quantum computer could, in theory, solve these problems in hours. This is known as the ‘Q-Day’ threat — the day quantum computers become powerful enough to break current encryption. We covered why your passwords and online security matter right now — and Q-Day is part of why security researchers argue that upgrading encryption standards is urgent.
The good news: governments and tech companies are already developing post-quantum cryptography — new encryption methods designed to resist quantum attacks. The US government’s NIST published new quantum-resistant encryption standards in 2024. Most major banks and tech companies are already planning their transitions. The threat is real but not imminent — most experts estimate practical Q-Day is still a decade away at minimum.
This also connects to why governments are trying to control AI and advanced computing more tightly — quantum computing capability is considered a national security asset, not just a commercial technology.
Where Things Actually Stand in 2026
Quantum computing is real and advancing — but the gap between what it can do in a lab and what it can do practically is still significant.
IBM currently has the world’s most powerful publicly accessible quantum computer at 1,121 qubits. Google’s Willow chip — unveiled in late 2024 — performed a specific calculation in five minutes that would take the world’s fastest supercomputer 10 septillion years. MIT Technology Review has detailed coverage of the latest benchmarks.
An important limitation is that: both of those achievements involved highly specific, artificial benchmarks designed to show quantum advantage. Real-world applications that outperform classical computers — at a commercial scale — remain limited. Most quantum computers also need to be kept at temperatures colder than outer space to function, which creates enormous engineering challenges.
The current consensus among researchers is that quantum computing will move from experimental curiosity to genuine commercial tool sometime between 2028 and 2035 — depending on how quickly the qubit stability problem gets solved.
This fits the same pattern as robotaxis and agentic AI — technologies that are genuinely transformative but are arriving on a slower timeline than the most optimistic predictions suggest. And like those technologies, understanding the basics now makes it easier to follow developments as the technology matures.
FAQ — Quantum Computing
1. Will quantum computers replace my laptop or smartphone?
No — not in any foreseeable future. Quantum computers are purpose-built for a narrow class of extremely complex problems. They are more like a specialist tool that sits alongside conventional computers than a replacement for them. Your laptop, phone, and tablet will continue doing what they do using classical computing for decades to come. The quantum revolution will happen in data centres, research labs, and cloud services — not in your pocket.
2. Are quantum computers available to use right now?
Yes — through cloud services. IBM Quantum offers public access to real quantum computers through its cloud platform — you can run basic quantum programs today without owning any hardware. Google, Microsoft, and Amazon also offer quantum cloud access. These are primarily tools for researchers and developers at this stage, but the access is genuinely there. The machines are not yet powerful enough to outperform classical computers on most practical problems, but the infrastructure is real and expanding rapidly.
3. How does quantum computing connect to AI?
The connection is more theoretical than practical right now, but it is worth understanding. Current AI — including ChatGPT and the models it competes with — runs on classical hardware. Training large AI models requires enormous amounts of classical computing power, which is why AI’s energy consumption is growing so fast. Some researchers believe quantum hardware could accelerate certain AI training tasks — particularly optimization problems — by orders of magnitude. But quantum AI is still largely at the research stage. The two technologies will likely converge meaningfully sometime in the 2030s.
| 💬 Honest Question: Before reading this, did quantum computing make any sense to you — or was it just a buzzword? Drop a comment and tell us what clicked, what still does not make sense, or what question you still have. We will answer the most common ones in a follow-up article. No question is too basic. |
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