Quantum computers, just a few years ago, seemed like a distant concept confined to physics labs. Today, they’re becoming one of the hottest topics in the tech world, with global investments — including Quantum AI — growing at a rapid pace. How does a computational reality based on qubits actually work? Which industries hold the greatest potential for quantum technology? And what does it mean for data security and the future job market?
Meet Piotr, he is COO at People More. He has extensive knowledge of technology and team management.
In which industries do you currently see the greatest potential for quantum technologies?
Quantum technologies could fundamentally transform how we analyze data, conduct research, and make decisions. According to a recent survey by SAS, the industries with the highest potential for quantum applications include pharmaceuticals, finance, energy, logistics, and defense. For example, in the financial sector, quantum computing could optimize investment portfolios, analyze risk more effectively, and detect anomalies in transactions. The same SAS report also found that 60% of managers across various sectors are actively investing in Quantum AI or exploring its real-world applications.
Quantum computing is often associated with tremendous computational power. From today’s perspective, what are its biggest advantages and limitations?
The biggest advantage is definitely its computational power, which stems from the use of qubits—units that can exist in a state of superposition, representing multiple states simultaneously. This allows quantum computers to perform many calculations in parallel. They can also leverage entanglement and quantum interference, enabling them to solve problems in ways that are infeasible for classical computers.
On the flip side, quantum technologies still face serious limitations. Qubits are highly sensitive to external factors (quantum decoherence), and scaling them is incredibly difficult. Current prototypes operate on relatively small numbers of qubits. To unlock their full potential for solving complex problems, we need to increase the number of qubits, which brings new challenges like state control and synchronization of computations. There's also a steep learning curve—programming quantum machines requires deep knowledge of physics and mathematics.
How is quantum computing impacting cybersecurity? Are we facing a new wave of threats?
Absolutely—and it’s already happening. As quantum computing evolves, there's a very real threat that today's asymmetric cryptography systems will become obsolete. Quantum algorithms could crack current encryption standards in no time. That’s why there's growing interest in post-quantum cryptography—methods designed to withstand attacks from quantum computers. Technologies like Quantum Key Distribution (QKD) are being developed to securely transmit encryption keys. Organizations need to start thinking now about protecting long-term data that could one day be decrypted using quantum technologies.
But it's not all doom and gloom—quantum tech also offers new possibilities for authentication and identity verification. Quantum-based protocols could enable fraud-resistant methods of verifying user identities. This is particularly important for protecting personal data and securing financial transactions.
Are quantum computers a threat to privacy and ethics, or a new opportunity for securing data?
Honestly, it depends on who’s using the technology and how. Quantum computers could certainly boost security—through better intrusion detection or QKD resilience, for example—but they could also be misused for unethical purposes like mass data surveillance, cracking encryption, or manipulating information. That’s why we urgently need legal and ethical frameworks to guide the development and use of quantum technologies.
Just like with AI, it's not the technology itself that’s a threat—it’s the way it’s applied. That’s why transparency and global standards must evolve in tandem with technical progress.
What does the job market look like in the quantum technologies space? Is it worth investing in these skills today?
Without a doubt. quantum technologies is the future—but still a niche field when it comes to talent. Only a few universities in Poland offer specializations in quantum computing. For people who start building their skills now, there’s a huge opportunity for a prestigious and well-paid career. You’ll need knowledge in quantum mechanics, linear algebra, programming, and data analysis.
Starting with online courses and experimenting with quantum simulators on classical computers is a great way to begin. In the future, demand for quantum programmers, analysts, and engineers will only increase.
Is Quantum AI just a buzzword, or does it have real commercial potential?
Quantum AI is much more than just a trend. Companies are already exploring how to integrate it into their operations. According to the SAS survey, the greatest potential for Quantum AI lies in data analysis and machine learning (48%), research and development (41%), and cybersecurity (35%). While high costs and lack of qualified talent remain major barriers, some market leaders are already preparing for implementation.
Thank you for conversation.
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