Quantum computers represent a breakthrough comparable to the move from valves to transistors in computer engineering. It doesn\u2019t just mean processing data faster; it means processing data in ways that redefine our understanding of what data is and what can be done with it.<\/p>\n
Nature, the world around us, the universe and the physical forces that make it all possible aren\u2019t digital in nature. So to get closer to understanding, modeling and predicting their vast, chaotic complexity, \u201cclassical\u201d binary computing won\u2019t ever be good enough.<\/p>\n
Enter quantum computing and its mind-bending ability to harness strange quantum properties, such as tunneling and superposition, in order to solve certain complex problems in seconds rather than eons.<\/p>\n
For example, classical computers are limited, due to their classical\u201d electronic architecture, to storing and processing data in \u201cbits\u201d of one or zero. This is because, fundamentally, their architecture consists of simply a huge number of on\/off switches.<\/p>\n
A quantum computer, on the other hand, stores and processes data as \u201cqubits\u201d \u2013 quantum bits that can, somewhat spookily, exist in both states simultaneously \u2013 as well as any of the infinite number of points in between them.<\/p>\n
Quantum computing is already being applied in drug and chemical research, material sciences, logistics, finance, cryptography and cybersecurity. Unlike the move from valves to transistors, quantum computers won\u2019t immediately replace today\u2019s \u201cclassical\u201d computers. Quantum computers will be reserved for specialist and niche applications that classical computers either wouldn\u2019t be able to handle or would take a literal age to complete.<\/p>\n
The global market for quantum computing services is predicted<\/a> to grow to $15 billion by 2030 as early adopters get started. This will come from hardware, tools, applications, and cloud-based quantum-as-a-service. If you\u2019re wondering how it will affect your industry, business or profession, these are the key players you should be keeping up with:<\/p>\n IBM<\/a><\/p>\n IBM was an early pioneer in both valve and transistor-based computing, so it\u2019s no surprise that it\u2019s also pioneering quantum computing. It developed some of the first superconducting qubits and was also the first to offer quantum-as-a-service in the cloud. Last year, it launched the Condor chip, currently one of the most powerful quantum processors available, with over 1,000 qubits.<\/p>\n Google Quantum AI<\/a><\/p>\n The quantum development and commercialization arm of Alphabet has distinguished itself with breakthroughs including claiming the first \u201cquantum supremacy\u201d moment. This happened in 2010 when its 53-qubit Sycamore system solved a problem that wasn’t thought to be possible with classical computer architecture. The claim was, however, retroactively annulled years later when a University Of Science And Technology Of China team showed that it actually could be done. In 2024, Google once again claimed they had achieved quantum supremacy with an updated 67-qubit Sycamore.<\/p>\n Google\u2019s latest Willow quantum chips have 105 qubits but, more significantly, greatly improved<\/a> error correction. This potentially overcomes problems around instability, which has so far limited the potential of quantum computing for some applications.<\/p>\n Microsoft Azure Quantum<\/a><\/p>\n Microsoft builds its latest quantum processors\u2014known as Majorana 1 \u2013 around a method of quantum computing known as topological qubits. This is another way of (theoretically) improving stability and making quantum accessible for a wider range of tasks. Utility-wise, its strategy<\/a>, similar to Google, is to provide businesses and research organizations with a suite of cloud-based quantum tools through its Azure platform.<\/p>\n University Of Science And Technology Of China<\/a><\/p>\n A leading Chinese technology research center, USTC researchers are responsible for some of the most significant quantum computing breakthroughs to date. Notably in 2023, its Zuchongzhi-2 quantum computer completed the \u201cquantum supremacy\u201d task demonstrated by Googe\u2019s Sycamore in 2019 in just 20 seconds compared to Sycamore\u2019s 200 seconds.<\/p>\n Its successor, Xuchongzhi-3, has just been unveiled, and with 105 qubits, it is believed to be one of the fastest quantum computers built so far.<\/p>\n D-Wave<\/a><\/p>\n Beginning as a Canadian research startup, D-Wave was one of the first groups to capitalize on the commercial implications of quantum computing. It launched the first commercially available quantum computer \u2013 D-Wave One \u2013 in 2011. D-Wave’s approach to building quantum machines is slightly different, focusing on a technology called quantum annealing that’s highly efficient for solving optimization problems. This is particularly significant for businesses because these solutions\u2014finding the most efficient routes for multi-drop drivers or the most effective combination of ingredients to make medicines\u2014can unlock big efficiencies.<\/p>\n Intel<\/a><\/p>\n Intel is known for chips, particularly processor chips, so as with other tech companies here, moving into quantum computing was a natural next step. Like Microsoft, Google and IBM, its involvement demonstrates how important big tech believes quantum computing will be in the future. Intel\u2019s quantum technology centers on its Tunnel Falls processor, which uses silicon spin qubits. These are built on classical semiconductor infrastructure, which is still far more scalable and cost-effective than other more exotic quantum technologies right now.<\/p>\n Quantinuum<\/a><\/p>\n Quantinuum was formed from a merger between Honeywell\u2019s quantum computing research division and Cambridge University-backed startup Cambridge Quantum. Although it has developed some of the most cutting-edge quantum computers, such as the first 56-qubit trapped-ion quantum processor in 2024, has also developed some of the most mature packages and platforms for enterprise. It offers combined hardware and software solutions and is focused on facilitating the move of quantum computing from research lab to industry.<\/p>\n Rigetti Computing<\/a><\/p>\n Rigetti focuses on delivering business-ready, hybrid classical\/quantum systems that customers can start using today rather than hitting theoretical goals like quantum supremacy. It takes the same conventional, superconducting-qubits approach to quantum computing engineering as big players like IBM and Google. This is because its strategy<\/a> is to focus on reducing the time its customers take to start getting value from their investment in quantum computing. It delivered one of the first cloud quantum-as-a-service offerings, and customers include enterprises, government agencies and research organizations.<\/p>\n