The term "quantum" originates from Latin, meaning "how much" or "a quantity." In physics, a quantum is the smallest, indivisible unit of a physical property. As an adjective, as in the phrase "quantum leap," it refers to a sudden, fundamental, and transformative change—a fitting descriptor for the next generation of disruptive technology: quantum computing.
Following artificial intelligence, quantum computing is hailed by the industry as the next-generation technology poised to revolutionize the entire computing sector. While industry headlines may be esoteric to non-specialist readers, they are undeniably impactful:
Google unveils its groundbreaking Willow quantum chip, solving in minutes a problem that would take a classical computer 10^24 years.
The world's first 10,000-qubit processor is announced, marking a hundredfold leap in qubit scale.
The Jupiter supercomputer sets a world record by simulating 50 quantum bits.
Caltech constructs a large-scale neutral atom array with 6,100 qubits.
A major breakthrough in quantum technology: single-photon quantum teleportation achieved over 270 meters.
However, dazzling tech headlines filled with industry jargon have historically often outpaced the reality of industrial implementation. The following analysis will clarify the essence and industry value of quantum computing, assessing whether the current fervor is justified or merely speculative hype unworthy of capital investment.
Classical Computing and Moore's Law
To understand quantum computing, one must first understand the bit.
From smartphones and desktop laptops to the world's most powerful supercomputers like El Capitan, the fundamental unit of computation for all classical computers is the bit.
A bit is the smallest unit of information, taking a value of either 0 or 1. Activities like sending emails, streaming videos, or running games are essentially the continuous switching of billions of 0s and 1s. Over the past fifty years, technological iterations have continuously optimized the efficiency of binary computation, but this optimization path is now facing significant challenges.
Moore's Law, which summarizes the iteration pattern of the semiconductor industry, is itself encountering physical limits that are now the core challenge for computing power development. The law states:
The number of transistors on a microchip roughly doubles every two years, while the cost of computer hardware is halved.
Observing the curve of computing power growth shows that Moore's Law has driven exponential increases in computing power and continuous decreases in hardware costs (the vertical axis of the chart uses a logarithmic scale, where each increment represents a 100-fold increase in computing power per unit cost).
The ceiling of Moore's Law stems from physical limits: the process of continuously shrinking transistor sizes by chip manufacturers is approaching a physical threshold. Although various new processes continue to extend the life of Moore's Law, the research and development costs and technical difficulties of overcoming physical constraints are soaring.
The Qubit
Quantum computing abandons the binary bit architecture of classical computers, with its core unit being the quantum bit, or qubit.
While an ordinary bit can only be definitively 0 or 1, a qubit possesses three unique quantum properties in addition:
Superposition: A single qubit can exist simultaneously in both the 0 and 1 states, allowing a quantum computer to test multiple problem-solving paths in parallel.
Quantum Entanglement: Two entangled qubits, regardless of distance, are linked such that a state change in one instantly determines the state of the other.
Quantum Interference: Quantum algorithms leverage the wave-like properties of matter, amplifying correct computational results and canceling out wrong ones, guiding the computation toward the optimal solution.
The underlying principles are complex, but the core conclusion is simple: classical computers perform calculations sequentially, while quantum computers can explore a vast number of potential solutions simultaneously.
Using a maze as an analogy: a classical computer tries paths one by one, backtracking after a wrong turn until it stumbles upon the exit. A quantum computer explores all possible paths at once, rapidly identifying the optimal route.
In scenarios like cryptography, new drug discovery, material simulation, and financial optimization, the number of potential solutions is astronomically large. Quantum computing has the potential to reduce computation time from years to hours or even minutes.
The Gap Between Hype and Reality
Setting aside industry enthusiasm, the practical implementation of quantum computing faces severe challenges.
Traditional 0/1 bits are extremely stable and can operate reliably at room temperature and under minor vibrations, similar to a home Wi-Fi network.
Qubits, however, are extremely fragile and must be completely isolated from the external environment. Minute temperature fluctuations or subtle vibrations can destroy their quantum properties, causing them to "decohere" into ordinary classical bits.
Consequently, quantum processors must be cooled to near absolute zero (approximately -233 degrees Celsius or -460 degrees Fahrenheit), which is about 55 degrees Celsius colder than the average surface temperature of Pluto. The entire machine must be housed within an expensive, precision dilution refrigerator, fully shielded from external interference. Even under these stringent conditions, the error rate of qubit operations is far higher than that of traditional chips.
The Reliability Challenge of Quantum Devices
The industry uses the ratio of logical qubits to physical raw qubits to measure progress toward fault-tolerant quantum computing. Physical raw qubits are highly error-prone, while logical qubits, after error correction, can perform stable computations.
Currently, creating a single usable logical qubit requires between 1,000 to 10,000 physical qubits. A commercially viable quantum computer would need thousands of logical qubits, translating to a physical qubit scale of tens of millions for the entire system.
How to scale up the number of logical qubits massively is the core challenge for engineers worldwide. Most researchers predict that a fault-tolerant quantum computer capable of solving real-world industrial problems is still years, if not over a decade, away from realization.
Qubit development is caught in a dilemma: it must isolate the qubits from the environment to maintain superposition and entanglement, while also addressing mass production, debugging, and large-scale manufacturing to ultimately achieve hardware deployment on a scale of millions.
Currently, the global industry has not settled on an optimal qubit technology path. Scientists are pursuing multiple routes in parallel, including superconducting circuits, ion traps, neutral atoms, and topological qubits. Future breakthroughs may also rely on hybrid architectures.
Investment Thesis for the Quantum Sector
Despite the lengthy technology cycle and numerous challenges, the global quantum industry is steadily iterating, and investment value is gradually emerging. The following outlines leading publicly traded quantum technology companies globally:
Note: IBM, Google (Alphabet), and Microsoft are large technology conglomerates. Their diversified main businesses provide cash flow to support quantum R&D, but the financial performance of their quantum divisions is diluted by other group operations. IonQ, D-Wave, and Rigetti are pure-play companies focused solely on the quantum sector. Technological breakthroughs can directly enhance shareholder returns, but their own revenues are limited, and they rely heavily on equity and debt financing.
IBM (Stock Code: IBM)
The company with the deepest heritage in the global quantum field, possessing a clear long-term roadmap: it officially plans to launch a fault-tolerant quantum computer with thousands of logical qubits by 2033. IBM is not a pure quantum company; the stable cash flow from its mainframe and hybrid cloud businesses continuously supports quantum research.
The company initiated quantum research in the 1970s and launched the world's first public cloud quantum computing platform in 2016. Decades of technological accumulation have built significant R&D and infrastructure barriers.
Latest development: IBM, in partnership with the U.S. Department of Commerce, has established the first national-level specialized quantum foundry in the United States. The project received $1 billion in chip-specific subsidies from a $2 billion national support fund allocated to nine quantum companies.
Google (Alphabet, GOOG)
In December 2024, Google achieved an industry milestone with its Willow chip by demonstrating below-threshold quantum error suppression: adding more qubits actually reduced the overall error rate, breaking the common industry problem where more bits led to compounded errors.
In October 2025, it announced "verified quantum advantage," with the same algorithm running 13,000 times faster than the top classical supercomputer. Leveraging its DeepMind AI team, Google has integrated classical AI and quantum computing research, creating a unique hybrid R&D advantage.
Microsoft (MSFT)
Pursuing a differentiated technology path, Microsoft is heavily invested in topological qubits. This architecture theoretically offers far greater stability than other approaches, but laboratory preparation and verification are extremely difficult. In early 2025, Microsoft introduced its first self-developed topological quantum chip. Its Azure Quantum cloud platform connects with multiple hardware vendors like IonQ and Quantinuum, serving as an intermediary hub for users to access various quantum computing resources.
IonQ (IONQ)
A leading pure-play quantum company listed in the U.S., IonQ eschews the superconducting routes of IBM and Google, instead employing ion trap technology using ytterbium ions as qubit units. While its operational speed is relatively slower, it boasts superior computational accuracy.
In 2025, it became the world's first quantum company to surpass $100 million in annual GAAP revenue. It has been active in mergers and acquisitions, spending approximately $1.1 billion to acquire Oxford Ionics and making several smaller acquisitions to bolster its quantum sensing and quantum networking technologies.
D-Wave (QBTS)
Instead of pursuing general-purpose quantum computing, D-Wave focuses on the quantum annealing niche, specializing in optimization problems like logistics, supply chain, and scheduling. Its customer base may not be massive, but its commercialization progress leads the industry. Its Advantage quantum system is already in mass production and deployed for commercial use by real enterprises, not just remaining in the lab.
Rigetti Computing (RGTI)
A small to mid-sized pure-play quantum company, Rigetti is deeply invested in the superconducting quantum route. Its self-developed Ankaa-3 processor optimizes chip interconnect performance. The company faces funding pressures but maintains a complete R&D team, and its cloud platform's paying customer base continues to expand.
Conclusion
The technological logic of quantum computing is sound and not pseudoscience. The distinction lies solely in the timeline for large-scale commercial deployment: the underlying physics principles are complete, engineering progress is documented, and the potential for broad industry application is vast.
Investing in this sector requires a measured mindset and a long investment horizon. The prevailing industry consensus is that a fault-tolerant quantum computer capable of comprehensively outperforming classical computers in commercial scenarios is at least a decade away. From an anti-cyclical perspective, technology giants with diversified revenue streams (IBM, Google, Microsoft) and specialized firms like D-Wave that can achieve near-term commercialization in specific niches demonstrate stronger resilience.
Given the lengthy R&D cycles, high investment costs, and uncertain technology path winners, a diversified portfolio approach is advisable to smooth out industry volatility and improve investment success rates. The most crucial point is patience; the path to R&D commercialization for small and mid-sized quantum companies is destined to be volatile.
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