Introduction
Every few decades, a technological breakthrough comes through that changes the way we live, work and understand the world. A current great example of this is AI, which is now used by billions of people around the world. Today, many scientists believe quantum computing could become the next great step into the future. Many companies around the world race to build practical quantum computers; Microsoft has taken an unusually ambitious path. They are relying on physics and once theoretically acknowledged particles. This article explores what makes Microsoft's approach different and whether it could shape the future of computing. More Information!
What is quantum computing?
Quantum computing is a different approach to processing information compared with the computers we use every day. They can be used to discover new drugs, new materials, break codes, and optimise certain logistics. Traditional computers store and process data using bits, which can only exist in either states of 0 or 1. Quantum computers use qubits. Qubits are quantum bits which exist in a superposition, meaning they can represent a combination of both 0 and 1 simultaneously until they are measured. This allows a quantum computer to explore many possible solutions to a problem at the same time.
Two or more qubits can become linked so that the state of one is directly linked to the state of another even when they are separated; this is called entanglement. This enables quantum computers to perform certain calculations in ways that classical computers cannot easily replicate. Microsoft in the race to build the ultimate supercomputer | BBC News | BBC News
Why do classical computers have limits?
For many years, advances in computing were guided by Moore's Law, which predicted that the number of transistors on a computer chip would roughly double every two years, leading to faster and more powerful devices. However, this pace of progress has begun to slow as transistors approach atomic-scale dimensions, making further miniaturisation increasingly difficult, expensive, and limited by the laws of physics. At the same time, modern applications such as artificial intelligence, scientific simulations, and large-scale data processing require ever-greater computational power, resulting in higher energy consumption and increased heat generation. These challenges have prompted researchers to explore entirely new computing paradigms, such as quantum computing, which processes information in fundamentally different ways and has the potential to solve certain complex problems beyond the practical reach of today's classical computers.
Microsoft's different approach
Unlike many of its competitors, Microsoft has adopted a distinctive approach to quantum computing by focusing on the development of topological qubits rather than the more widely used superconducting or trapped-ion qubits. Topological qubits are designed to store quantum information in a way that is naturally protected from many sources of noise and interference, making them potentially more stable and less prone to errors. If this approach proves successful, it could significantly reduce the amount of error correction required, one of the greatest challenges in building practical quantum computers, where thousands of physical qubits may otherwise be needed to create a single reliable logical qubit. Although Microsoft's strategy is considered ambitious and carries greater technical risk, its long-term vision is to develop scalable, fault-tolerant quantum computers capable of solving complex scientific and industrial problems that are beyond the reach of today's classical systems.
What is a Majorana Particle?
The concept behind Microsoft's quantum technology is based on the Majorana particle, first proposed in 1937 by the Italian physicist Ettore Majorana, who predicted the existence of a particle that is its own antiparticle. Although an elementary Majorana particle has not been conclusively observed, scientists have discovered Majorana zero modes—special quantum states that behave in similar ways under carefully controlled conditions. Physicists have spent decades searching for these states because they could provide a more robust foundation for quantum computing. Unlike conventional qubits, quantum information stored using Majorana zero modes is expected to be naturally protected from many forms of environmental noise, making it less susceptible to errors. This built-in stability is the reason Microsoft has invested heavily in topological quantum computing, believing it could pave the way for large-scale, fault-tolerant quantum computers.
Majorana 1
In 2025, Microsoft unveiled Majorana 1, its first quantum processor based on topological qubit technology, marking a significant milestone in the company's long-term research programme. The announcement demonstrated progress towards creating and controlling the exotic quantum states needed for topological quantum computing, providing evidence that Microsoft's approach may be technically feasible. However, Majorana 1 does not yet represent a large-scale, fault-tolerant quantum computer, nor has it demonstrated the ability to solve practical problems beyond the capabilities of existing quantum systems. While the announcement generated considerable excitement within the scientific community because of its potential to overcome one of quantum computing's greatest challenges, researchers remain cautious, emphasising that further experimental validation and continued development are needed before the technology can fulfil its ambitious promises.
Why does error correction matter?
One of the biggest obstacles facing quantum computing is error correction. Unlike classical bits, which are generally stable and predictable, qubits are extremely sensitive to their surroundings and can be disrupted by tiny disturbances such as temperature changes, electromagnetic interference, or interactions with the environment. This loss of quantum information is known as decoherence, and it can cause calculations to fail before they are completed. To overcome this challenge, researchers use multiple physical qubits to create a more reliable logical qubit, which can detect and correct errors during computation. However, this process requires a large number of physical qubits and creates significant engineering challenges. Developing more stable qubits, such as the topological qubits pursued by Microsoft, could reduce the need for extensive error correction and make it more practical to build large-scale, fault-tolerant quantum computers.
What could Quantum computers actually do?
Although quantum computers are still in the early stages of development, they have the potential to transform industries by solving certain complex problems that are beyond the capabilities of classical computers. In drug discovery, quantum computers could simulate the behaviour of molecules and chemical reactions with greater accuracy, helping researchers develop new medicines more efficiently. They could also improve climate modelling by analysing complex environmental systems, support the development of new battery materials through advanced molecular simulations, and enhance logistics optimisation by finding more efficient solutions for transportation and supply chains. In areas such as financial modelling, quantum algorithms may help analyse complex risks and patterns, while in artificial intelligence, they could potentially improve optimisation and machine learning techniques. Quantum computing may also have major implications for cryptography, as powerful quantum machines could break some existing encryption methods while enabling the development of new quantum-resistant security systems.
Challenges ahead
Despite its enormous potential, quantum computing still faces significant challenges before it can become a widely used technology. One of the biggest obstacles is overcoming technical hurdles, including improving qubit stability, reducing errors, and developing reliable methods for large-scale quantum operations. Building and maintaining quantum computers is also extremely expensive, requiring advanced facilities, specialised equipment, and highly skilled researchers. Many quantum systems must operate at temperatures close to absolute zero, creating complex and costly cooling requirements. Another major challenge is scaling—increasing the number of qubits while maintaining accuracy and control. With companies such as IBM, Google, Microsoft, and other quantum technology firms competing to achieve breakthroughs, the field is advancing rapidly, but the timeline for achieving practical, fault-tolerant quantum computers remains uncertain. Researchers continue to make progress, but widespread quantum computing is likely to require years of further development and experimentation.
