Quantum Computing: How It Will Change Cybersecurity This Decade

May 15, 2024 Trofim Romanovich Kiselev

While most companies are just mastering cloud technologies and artificial intelligence, a new revolution is already looming on the horizon — quantum computing. Unlike classical bits, quantum bits (qubits) can exist in a state of superposition, allowing them to process colossal amounts of data simultaneously.

One of the first areas to face radical changes will be cybersecurity. Modern encryption algorithms, such as RSA and ECC, are based on the complexity of factoring large numbers — a task that requires unrealistically long time for classical computers. A quantum computer using Shor's algorithm will be able to crack such protection in a matter of hours or even minutes.

Quantum processor in a laboratory

Laboratory sample of a quantum processor. Source: Pexels

However, this does not mean the collapse of all digital security. In parallel, the field of post-quantum cryptography (PQC) is developing. Scientists and engineers are creating new algorithms resistant to attacks from both classical and quantum computers. The US National Institute of Standards and Technology (NIST) is already selecting such algorithms, and the first standards are expected within the next year or two.

What does this mean for business today?

Major technology giants such as Google, IBM, and Microsoft are actively investing in the development of quantum solutions and post-quantum algorithms. For corporate IT departments, the time of "quantum readiness" is coming:

  • Infrastructure audit: It is necessary to assess which systems use vulnerable encryption algorithms.
  • Migration planning: Develop a roadmap for transitioning to post-quantum standards.
  • Quantum key distribution (QKD): Implementation of technologies that use the laws of quantum physics for absolutely secure key transmission.

Experts agree that a full-fledged quantum computer capable of cracking RSA-2048 will not appear before the late 2020s — early 2030s. But preparation needs to start now, as updating the global IT infrastructure is a lengthy and expensive process. Those who postpone this may face serious risks to data and reputation.

The quantum era is not only about threats but also new opportunities. Quantum computers will enable the creation of fundamentally new, more complex, and secure systems for modeling, logistics, and drug discovery. The future of the digital world will be built on the symbiosis of classical and quantum technologies.

Frequently Asked Questions

Answers to popular questions about technology, artificial intelligence, and digital trends

Generative artificial intelligence is a type of AI capable of creating new content (text, images, code, music) based on learned patterns from training data. It operates on architectures like GPT and DALL-E, using transformers and diffusion models to predict and generate sequences.

Key trends include: widespread adoption of AI assistants in business processes, development of quantum computing for specific tasks, growing popularity of AR/VR solutions for remote work, enhanced AI-based cybersecurity, and sustainable development of "green" technologies in data centers.

Machine learning (ML) is a broader concept covering all algorithms that learn from data. Neural networks are a subclass of ML, inspired by the structure of the human brain. Deep learning is ML using multi-layered neural networks. Thus, all neural networks are ML, but not all ML is neural networks.

Key steps: creating an MVP (minimum viable product), clearly defining the problem and solution, assembling a strong team, preparing a compelling pitch and financial model. It's important to participate in accelerators, networking events, and directly approach venture funds or business angels specializing in your niche.

No, it is not safe. Confidential, personal, or trade secret information should not be entered into public AI services. Data may be used for model retraining and potentially become accessible. For working with sensitive information, use local or corporate solutions with appropriate service level agreements (SLAs) and data protection.

🌐
RU EN