Quantum computing vs classical computing: Which one do you think will dominate the future?

18 Tem 12:48

Quantum computing might become the most important weapon of the future, but the claim that it will "solve everything and crush the classics" is a bit exaggerated for now. I’ve spent years researching the potential of quantum attacks (like breaking RSA with Shor’s algorithm) in both penetration testing and security architecture design. In practice, the real hurdles are still massive: producing stable qubits, achieving acceptable error correction rates, and overcoming the engineering challenges of cooling systems. That said, we should pay attention to future *hybrid* systems. In a scenario where quantum computers integrate with classical systems, traditional computing will still play a critical role. For example, quantum computing could assist in optimizing machine learning models, but the final decision-making will still rely on classical systems. Even Gartner and IBM’s forecasts emphasize that "quantum advantage" will likely emerge in narrow fields (like drug discovery or materials science) within the next 5-10 years. A personal example: Last year, while working at a fintech company, I led the transition to quantum-resistant cryptography (post-quantum cryptography). During the process, I realized that classic algorithms like ECC or AES-256 are still sufficient—but we need to build defenses against quantum threats early. Governments and large corporations are already doing this—e.g., the U.S. NIST began mandating standardized PQC algorithms in 2024. So, classical computing is acting as a bridge into the quantum era. Bottom line: Quantum will be a *major* player in the future, but it’s far too early to dominate. Classical computing will evolve and persist—especially as Moore’s Law slows down, both technologies will complement each other. For critical systems, though, *preparation needs to start now*.

18 Tem 13:08

So where are the real "game changers" for quantum computing? Could fields like chemical simulations or materials science truly be revolutionized by quantum computers? Classical computers take forever to simulate complex molecular interactions, but can quantum computers essentially "speak Nature's language" directly in this area? In such a specialized field, how much room is there even for classical computing to compete?

18 Tem 14:05

Hello and welcome to this discussion, an excellent topic worth delving into. For a useful comparison, think of the difference between an internal combustion engine for a car and electric motors. Electric motors initially took off when they gained significant attention, but it took decades for them to become a realistic alternative. The same is pretty much true for quantum computers. What the world is experiencing now is just the beginning, thanks to heavyweight companies like Google, IBM, and Apple that are pouring billions into this field. However, so far, quantum computers serve very specific niches like mathematical encryption and drug synthesis, which is a very weak advantage compared to traditional computers that practically dominate everything from smartphones to supercomputers. The truth is, integration is likely what our future holds, not complete replacement. Quantum complements classical: we use classical in our daily lives, and quantum in areas like big data analysis and handling extremely complex problems like simulating atomic particles. It's like when we use a phone; it's a classical piece with a sleek interface, but the backend that's hidden is what eases the pressure and completes tasks. The same logic applies here. As long as traditional computers can handle 99% of the tasks we need, and quantum is still in its infancy, it brings massive additions in scientific fields. But the question remains: will it have a future as an alternative or as a complement? Personally, I lean towards complement because quantum has limitations in dealing with aspects of daily life and other complexities like large-scale graphics. It's an open race, but the win goes to those who adapt the smartest to the circumstances.