University of Kwazulu-Natal

Quantum Computing 2025 Beyond Hype To Real Breakthroughs

Bonisiwe Shabane
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quantum computing 2025 beyond hype to real breakthroughs

2025 has been a milestone year for quantum computing, marked by record-breaking experiments and technological firsts. Researchers unveiled the first topological quantum processor – an 8-qubit device using exotic Majorana particles for inherently stable qubits Sciencedaily Sciencedaily. In another leap, D-Wave’s annealing computer solved a complex magnetic simulation in minutes – a task so complex it would take a classical supercomputer essentially millions of years Dwavequantum. “Our achievement shows we can solve problems beyond the reach of the world’s most powerful supercomputers,” said D-Wave CEO Alan Baratz of this result Dwavequantum. Late 2024 set the stage for these advances: Google debuted its 105-qubit “Willow” superconducting chip with unprecedented error-correction performance Mckinsey, and IBM crossed the 1,000-qubit milestone with its Condor processor Notebookcheck. Such achievements reflect what one report calls a shift “from development to deployment”, as quantum hardware becomes more powerful and reliable Mckinsey.

Multiple quantum technologies are progressing in parallel. The leading approach, superconducting qubits (IBM, Google, etc.), has already scaled into the hundreds of qubits on a single chip. Trapped-ion qubits (IonQ, Quantinuum) offer the highest gate fidelities – IonQ recently surpassed 99.9% two-qubit fidelity on a prototype system Quantumcomputingreport – though operations are slower. Quantum annealing (pioneered by D-Wave) uses thousands of qubits for optimization problems; D-Wave’s Advantage machine with 5,000+ qubits has shown a clear speedup for certain tasks Dwavequantum. Photonic quantum computers (PsiQuantum, Xanadu) encode qubits in photons traveling through optical circuits; a 2025 breakthrough achieved ultra-low-loss photonic chips, a key step for scaling up optical qubits Phys. Other approaches, like neutral atoms (Pasqal, QuEra) and topological qubits(Microsoft’s focus), are also making progress.

This “quantum zoo” of technologies Phys indicates a healthy, multi-pronged drive toward the same goal: more qubits with less error. Quantum computing is beginning to show real use cases across industries: Governments worldwide consider quantum technology a strategic priority and have escalated investments: Significant challenges remain on the path to large-scale quantum computing. The foremost issue is error correction: today’s qubits are highly error-prone and lose coherence quickly. Reaching fault-tolerance will require implementing quantum error-correcting codes that use many physical qubits to create one reliable logical qubit.

This demands qubit counts in the thousands (or more) and error rates far below current levels. Steady progress is being made – for instance, researchers have shown that bigger quantum error-correcting codes can suppress error rates Thequantuminsider – but truly error-corrected, long computations are not yet possible. In 2025, governments and technology companies continue to invest heavily in quantum computing, motivated by the vision of building machines capable of processing problems far beyond the reach of classical computers. From drug development to clean energy optimization, the promise of quantum computing lies in solving complex, multi-dimensional problems at unprecedented speeds. Tech giants like Google, Microsoft, and IBM, as well as governmental initiatives, are channeling significant resources into quantum hardware and algorithm research. Yet, while the progress is impressive, practical, everyday applications for the general public remain elusive.

The challenge lies in the inherent complexity of quantum mechanics. Unlike traditional computers operating in binary states, quantum computers leverage qubits, which exist in superposition—a combination of multiple states simultaneously. This ability to represent a range of possibilities enables quantum computers to simulate complex natural processes more effectively than classical machines. To understand the power of quantum computing, one must grasp the principle of superposition. Classical computers process information in a binary fashion—zeroes and ones, on and off. In contrast, qubits can represent zero and one simultaneously, existing in a probabilistic state until measured.

This characteristic allows quantum computers to evaluate multiple solutions concurrently, simulating complex molecular interactions and probabilistic systems found in nature. Educators like Dominic Walliman have used simplified analogies to illustrate this concept: envisioning a particle spinning in both directions at once, creating a cloud of probabilities rather than a fixed state. This visualization underscores why quantum systems have the theoretical potential to outperform classical systems in certain computations, especially those involving intricate variables, such as chemical reactions or material simulations. One of the landmark milestones in quantum computing is quantum supremacy, a term describing when a quantum computer performs a calculation that a classical computer cannot complete in a feasible time frame. Google achieved this in 2019 with its Sycamore processor, which solved a complex random circuit sampling benchmark in minutes—a task that would take the world’s fastest classical supercomputer thousands of years. When it comes to quantum technology (QT), investment is surging and breakthroughs are multiplying.

The United Nations has designated 2025 the International Year of Quantum Science and Technology, celebrating 100 years since the initial development of quantum mechanics. Our research confirms that QT is gaining widespread traction worldwide. McKinsey’s fourth annual Quantum Technology Monitor covers last year’s breakthroughs, investment trends, and emerging opportunities in this fast-evolving landscape. In 2024, the QT industry saw a shift from growing quantum bits (qubits) to stabilizing qubits—and that marks a turning point. It signals to mission-critical industries that QT could soon become a safe and reliable component of their technology infrastructure. To that end, this year’s report provides a special deep dive into the fast-growing market of quantum communication, which could unlock the security needed for widespread QT uptake.

Quantum technology encompasses three subfields: Our new research shows that the three core pillars of QT—quantum computing, quantum communication, and quantum sensing—could together generate up to $97 billion in revenue worldwide by 2035. Quantum computing will capture the bulk of that revenue, growing from $4 billion in revenue in 2024 to as much as $72 billion in 2035 (see sidebar “What is quantum technology?”). While QT will affect many industries, the chemicals, life sciences, finance, and mobility industries will see the most growth. McKinsey initiated its annual quantum technology report in 2021 to track the rapidly evolving quantum technology landscape. We analyze three principal areas of the field: quantum computing, quantum communication, and quantum sensing.

The analysis is based on input from various sources, including publicly available data, expert interviews, and proprietary McKinsey analyses. The conclusions and estimations have been cross-checked across market databases and validated through investor reports, press releases, and expert input. Because not all deal values are publicly disclosed and databases are updated continuously, our research does not provide a definitive or exhaustive list of start-ups, funding activities, investment splits, or patents and publications. Quantum computing is no longer a distant promise—it’s making tangible waves across industries in 2025. As the technology matures, companies, governments, and research institutions are shifting from theory to action, deploying quantum solutions that tackle some of the world’s most complex challenges. Here’s how the quantum surge is reshaping sectors, with real-world examples and sources to back it up.

The integration of quantum processors with classical high-performance computing (HPC) is unlocking new frontiers in optimization, simulation, and machine learning. This hybrid approach is now a commercial reality, not just a research aspiration. Oak Ridge National Laboratory (ORNL) and Quantum Brilliance partnered in 2024 to advance hybrid quantum-classical computing, leveraging diamond-based quantum accelerators alongside traditional supercomputers. This collaboration aims to boost performance for scientific simulations and industrial optimization, marking a pivotal shift from lab prototypes to operational deployments (The Quantum Insider). Error correction remains the linchpin for scaling quantum computers. In 2025, more organizations are experimenting with logical qubits and advanced error correction schemes, moving quantum systems closer to fault tolerance.

IBM’s 1,121-qubit “Condor” processor, launched in late 2024, incorporates advanced error correction protocols, enabling longer and more complex computations. This breakthrough is already being used by research partners in chemistry and materials science to simulate molecular interactions previously out of reach (Moody’s). What if the most complex problems plaguing industries today—curing diseases, optimizing global supply chains, or even securing digital communication—could be solved in a fraction of the time it takes now? Quantum computing, once the stuff of science fiction, is no longer a distant dream. With breakthroughs like Google’s 105-qubit “Willow” processor and Microsoft’s topological qubits, the race toward fault-tolerant quantum systems is heating up. These advancements are not just incremental; they’re fantastic, promising to redefine the limits of computation and disrupt industries across the globe.

The question is no longer if quantum computing will change the world, but how soon—and how profoundly—it will happen. ExplainingComputers explores the most pivotal developments in quantum computing as of 2025, from innovative hardware innovations to the emergence of post-quantum cryptography. You’ll discover how companies like IBM and SciQuantum are tackling challenges like quantum error correction and scalability, and why these breakthroughs matter for everything from drug discovery to financial modeling. But this isn’t just about technology—it’s about the societal shifts and opportunities that quantum computing will unlock. As we stand on the brink of a quantum revolution, the implications are as exciting as they are daunting. What will this new era of computation mean for you, your industry, and the world at large?

Quantum computing operates on the principles of quantum mechanics, using qubits as its fundamental units of information. Unlike classical bits, which exist in a binary state of 0 or 1, qubits can exist in multiple states simultaneously through the phenomena of superposition and entanglement. This unique capability allows quantum computers to process vast amounts of data in parallel, offering computational power far beyond that of classical systems. However, qubits are inherently fragile and susceptible to environmental interference, leading to errors during computation. To address this challenge, researchers employ quantum error correction codes, which combine multiple physical qubits to create a single logical qubit. Logical qubits are a critical step toward building fault-tolerant quantum systems, allowing reliable and scalable quantum computation.

These advancements are paving the way for practical applications, making quantum computing a viable solution for complex problems. The past two years have been pivotal for quantum computing, with leading technology companies achieving significant milestones. These developments are shaping the future of the field and bringing us closer to realizing the full potential of quantum systems:

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