Chaos and Order

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Introduction

For the past several years, quantum computing has been one of the hottest technology keywords. On one side, bold declarations pour out — "solving in minutes what would take classical computers tens of thousands of years." On the other side, sober rebuttals push back — "real practical value is still decades away." This article is an attempt to map the reality that lives somewhere in between, as evenly as possible.

In particular, with NIST finalizing its post-quantum cryptography standards in 2024, with multiple companies reportedly demonstrating error-corrected logical qubits around 2025, and with early adoption cases emerging in finance and pharmaceuticals, there is a view that quantum computing is no longer a purely futuristic technology. It is moving into the territory of "what should we be preparing for right now."

> Investment notice: This article is written for informational and educational purposes. It is not a recommendation to buy or sell any particular security or asset, and the final judgment and responsibility for any investment rest entirely with you. Quantum computing related stocks are highly volatile and carry significant technological uncertainty, so please consult a qualified professional before making any actual investment decision.

What Is Quantum Computing — A Very Short Refresher

Classical computers process information using bits that are either 0 or 1. Quantum computers use qubits, which can exist in a superposition of 0 and 1, and multiple qubits can be linked through entanglement. Thanks to these two properties, certain classes of problems can in theory be solved exponentially faster than on a classical computer.

That said, "solving every problem faster" is a misconception. The domains where quantum computers have an advantage are limited.

- Integer factorization (Shor algorithm) — threatens the foundations of modern public-key cryptography

- Unstructured search (Grover algorithm) — a square-root-level speedup

- Quantum system simulation — modeling molecules, materials, and chemical reactions

- Certain optimization problems — combinatorial optimization, portfolio construction, and so on

Conversely, for running a typical web server, encoding video, or most everyday computation, quantum computers offer no benefit at all. This is the point most often overlooked in investment decisions.

Key Terms

| Term | Meaning |

| --- | --- |

| Qubit | The basic unit of quantum information. Supports superposition and entanglement |

| Qudit | A quantum unit with more than two states. Attempts to raise information density |

| Superposition | A probabilistic state where 0 and 1 coexist |

| Entanglement | A state where two or more qubits are correlated |

| Coherence time | How long a qubit holds its quantum state. Longer is better |

| Gate fidelity | The accuracy of a quantum operation. Closer to 1 means fewer errors |

| Logical qubit | A reliable qubit protected by error correction |

| Physical qubit | The raw qubit on actual hardware |

Progress in Quantum Computing — The First Use Cases

Financial Portfolio Optimization

The finance sector is frequently cited as an early application area for quantum computing. Portfolio optimization, risk analysis, derivatives pricing, and fraud detection are all problems that involve searching enormous combinatorial spaces.

Several major banks are reported to run quantum algorithm research teams. However, most of the cases disclosed so far are closer to "verified that it can work at a level equal to or slightly worse than classical" rather than "overwhelmed classical computers." In other words, it is accurate to view this as a proof-of-concept (PoC) stage.

Current position of financial quantum applications (conceptual)

Research ################.... Many PoCs

Pilot ######.............. A few underway

Production #................... Effectively absent

(Clear advantage over classical remains limited so far)

The frequently mentioned candidate applications are as follows.

- Portfolio optimization: maximizing risk-adjusted return across thousands of assets

- Monte Carlo simulation acceleration: option pricing, VaR calculation

- Credit risk modeling: analyzing asset classes with complex correlation structures

The key point is that such applications are often reported as "possibilities," and cases of "already generating revenue" are rare.

Pharmaceutical Molecular Simulation

Pharmaceuticals and materials are regarded as areas where quantum computing can have the most natural advantage. Because molecules and chemical reactions are themselves quantum-mechanical phenomena, using a quantum computer to simulate a quantum system is fundamentally a good fit.

Some pharmaceutical companies and research labs are reported to have run experiments computing the ground-state energy of small molecules through quantum simulation. However, the scale currently feasible is limited to very small molecules, and the dominant assessment is that qubit counts and error rates fall far short of handling the large molecules at the level of actual drug candidates.

| Area | Currently feasible level | Conditions for practical use |

| --- | --- | --- |

| Small-molecule energy calculation | Some demos reported | Tens of qubits, low error rates |

| Protein folding | Very limited | Many logical qubits |

| Drug candidate screening | Early research | Fault-tolerant machines |

| Novel materials design | PoC stage | Stable logical qubits |

Post-Quantum Cryptography and Cybersecurity

In the quantum computing conversation, a practical topic even more urgent than investing is cybersecurity.

Q-Day and Harvest-Now-Decrypt-Later

If the Shor algorithm runs on a sufficiently large quantum computer, the RSA and elliptic-curve cryptography (ECC) that underpin today's internet could be broken. This hypothetical moment is often called "Q-Day."

The problem is that the threat is already ongoing even though Q-Day has not arrived. The strategy where an attacker collects and stores encrypted data now, then decrypts it once a quantum computer is ready in the future, is called "harvest-now-decrypt-later." The longer the useful life of sensitive data (state secrets, medical records, financial information), the more it is exposed to this threat.

Harvest-now-decrypt-later timeline

Today ------------------> Future (Q-Day)

| |

| Attacker harvests | Decrypts with a

| ciphertext (and stores) | quantum computer

v v

[point of data theft] [point of actual harm]

-> Data encrypted today may still be at risk later

NIST Standardization

To respond to this threat, the U.S. National Institute of Standards and Technology (NIST) carried out the standardization of post-quantum cryptography (PQC). It was announced that the first standard algorithms were finalized in 2024, with lattice-based cryptography forming the core.

| Standard name | Use | Basis |

| --- | --- | --- |

| ML-KEM (Kyber) | Key exchange | Lattice |

| ML-DSA (Dilithium) | Digital signatures | Lattice |

| SLH-DSA (SPHINCS+) | Digital signatures | Hash |

Companies and government agencies are advised to achieve "crypto agility" by migrating existing systems to PQC. This migration itself is a large-scale effort spanning years, and it is reported as a new market opportunity for the security industry.

What is interesting from an investment standpoint is that PQC migration proceeds even if quantum computers do not actually work yet. In other words, it is a field where real demand already arises from the mere possibility of the threat.

Leading Companies and Technical Approaches

There are several distinct ways to build a quantum computer, and each approach has clear strengths and weaknesses. It is still uncertain which approach will be the ultimate winner.

Superconducting (IBM, Google)

The most widely known approach. It implements qubits by cooling superconducting circuits to near absolute zero. Fast gate speed is an advantage, but coherence times are short and cryogenic cooling equipment is required.

- IBM is reported to have published a roadmap that has steadily increased qubit counts.

- Google is reported to have published research showing progress in error correction.

Trapped Ion (IonQ, Quantinuum)

Ions are confined by electromagnetic fields and used as qubits. Coherence times are long and gate fidelity tends to be high, but gate speed is relatively slow.

- IonQ is frequently cited as a publicly listed quantum-focused company.

- Quantinuum, formed from the combination of Honeywell and Cambridge Quantum, is reported to emphasize high fidelity.

Photonic (PsiQuantum)

Photons are used as qubits. Potential room-temperature operation and the possibility of leveraging existing semiconductor processes are cited as advantages, but photon loss and securing deterministic photon sources are challenges.

- PsiQuantum is reported to aim for a large-scale fault-tolerant machine.

Other Approaches

- Neutral atom: arranging atoms in optical lattices, emphasizing scalability

- Topological: research on topologically protected qubits such as Majorana modes, expected to be robust against errors but technically very difficult

- Diamond NV centers: potential room-temperature operation

Comparison by Approach

| --- | --- | --- | --- |

Qubit vs Qudit

Most quantum computers use qubits with two states, 0 and 1. A qudit is an approach that uses three or more states to pack more information into the same physical resource. Qudit operations are reported to be under research in some trapped-ion systems, but they are not yet mainstream.

Error Correction and Logical Qubits

The biggest obstacle in quantum computing is errors. A qubit can lose its state from even the tiniest interaction with the environment (decoherence). To address this, error correction is needed, bundling many physical qubits into a single reliable logical qubit.

Physical qubits -> logical qubit (conceptual)

[phys][phys][phys]

[phys][LOGI][phys] -> one reliable logical qubit

[phys][phys][phys]

* Depending on the approach, a single logical qubit may

require hundreds to thousands of physical qubits

This "overhead" is the central bottleneck for commercialization. There are estimates that meaningful fault-tolerant computation requires thousands of logical qubits, which in turn may require millions of physical qubits. That is a vast gap from current hardware.

Control Electronics (FD-SOI and More)

Beyond the qubits themselves, the electronics that control them are also a major challenge. To individually control thousands of qubits or more in a cryogenic environment, control chips that operate at low temperatures (cryo-CMOS) are needed. Semiconductor processes such as FD-SOI are reported to be under research as candidates for these low-temperature control electronics. In other words, the quantum ecosystem spans broadly across not only qubit makers but also control semiconductors, cooling, and software.

The Quantum Supremacy Debate

"Quantum supremacy" or "quantum advantage" is the claim that a quantum computer has outperformed the best classical computer on some task.

Supremacy has been announced several times, but each time rebuttals have followed, arguing that improved classical algorithms narrowed or reversed the gap. There is also criticism that many such demonstrations are "artificial problems with no practical value." That is, while it may be possible to construct a task on which a quantum computer is statistically faster, that does not by itself mean a useful application exists.

| Position | Core argument |

| --- | --- |

| Optimist | A supremacy demo is a milestone of technical maturity |

| Skeptic | It is merely a benchmark problem with no practicality |

| Centrist | It is meaningful progress but separate from commercialization |

From an investment standpoint, it is worth remembering that a supremacy announcement can move a stock price in the short term, but that does not by itself prove an ability to monetize.

Comparing Qubit Counts and Error Rates (Conceptual Summary)

The table below is not a set of official figures from any specific company. It is a conceptual summary meant to help understand the general characteristics across approaches. Actual figures vary greatly by time and source, so you should check each company's own published materials directly.

| Metric | Superconducting tendency | Trapped-ion tendency |

| --- | --- | --- |

| Physical qubit count | Relatively many | Relatively few |

| Gate fidelity | High but varies by approach | Tends to be very high |

| Gate speed | Fast | Slow |

| Coherence time | Tends to be short | Tends to be long |

| Connectivity | Tends to be limited | Tends to be all-to-all |

Why you should not look at "qubit count" alone

100 qubits (high error rate) vs 30 qubits (very low error rate)

| |

flashy number actually useful computation

good for marketing the latter may be more capable

-> A simple qubit-count race easily invites misunderstanding

The Commercialization Timeline Debate

The point of greatest disagreement in quantum computing is exactly this: "when does it actually make money."

The NISQ Era

We are currently classified as being in the NISQ (Noisy Intermediate-Scale Quantum) era. Qubit counts range from tens to hundreds, but error rates are high and they operate without error correction. Opinions also diverge on whether practical advantage can be achieved in this era.

- Optimists: even NISQ devices can deliver value in certain optimization or simulation tasks

- Skeptics: it is hard to produce meaningful commercial value with NISQ that lacks error correction

Diverging Outlooks Toward Fault Tolerance

There is broad consensus that the real transformation comes from fault-tolerant quantum computers. The disagreement is about the timing.

| Perspective | Outlook for reaching fault tolerance | Rationale |

| --- | --- | --- |

| Aggressive optimism | An early form within a few years | Error-correction progress, accelerating roadmaps |

| Centrist | Around ten years | Assuming gradual progress |

| Conservative skepticism | Decades, or uncertain | Overhead and engineering difficulty |

Distribution of commercialization outlooks (conceptual)

Now -------+----------+--------------> time

| |

optimism centrism skepticism (far off or uncertain)

(years) (2030s) (decades~?)

* The same facts lead to widely divergent conclusions

The reason outlooks diverge like this is that no one knows for certain when the innovation to reduce error-correction overhead will arrive, or whether that reduction will be linear or nonlinear.

Long-Horizon and Uncertainty Risks

Here are the risks you must recognize in quantum computing investing.

Technology Risk

- It is uncertain which hardware approach will win — your bet could miss

- Error-correction overhead may not shrink as much as hoped

- A practical killer application may arrive late or never

Financial Risk

- Many pure-play quantum companies are reported to run large losses relative to revenue

- Long-term R and D requires enormous capital, with dilution risk if more is raised

- Monetization is distant, making valuation extremely difficult

Market Risk

- Sharp swings driven by expectations make volatility high

- Easy to overheat in the short term on announcement-driven news (supremacy, qubit-count updates)

- Some names have thin trading volume, which can amplify volatility

Quantum investing risk map (conceptual)

high

volatility| * pure-play quantum small cap

| * pure-play quantum mid cap

| * quantum exposure inside big tech

+---------------------------> business diversification

low high

Investment Approaches

To stress again, the following is not a recommendation of any specific security. It is a summary of approaches that are commonly discussed.

Pure-Play Quantum vs Quantum Exposure Inside Big Tech

| Category | Pure-play quantum | Quantum exposure inside big tech |

| --- | --- | --- |

| Nature of example | Listed quantum-only firm | Giant tech firm with a quantum unit |

| Upside potential | Very large if successful | Relatively diluted |

| Downside risk | Very large (business may fail) | Cushioned by core business |

| Volatility | Very high | Relatively low |

| Suited profile | High risk tolerance | Diversification preference |

- Pure-play quantum: companies whose entire business is quantum. Success is said to allow large rewards, but the loss on failure is equally large, and many are reported to be running losses.

- Exposure inside big tech: giant firms with solid core businesses such as cloud and semiconductors running quantum as one division. Even if quantum fails, the whole company does not collapse, so risk is cushioned.

- Supply-chain approach: instead of qubit makers, some focus on the surrounding ecosystem such as cryogenic equipment, control semiconductors, and quantum software.

- Diversification vehicles: there is also an approach of trying to diversify single-company risk through thematic products that bundle multiple quantum names.

Common Mistakes

- Judging only by the numbers in the qubit-count race

- Chasing announcement-driven news in the short term

- Assuming the commercialization timeline is much earlier than it is

- Allocating an outsized weight relative to the volatility

The Situation in Korea

In Korea as well, quantum computing is classified as a national strategic technology, with investment and research reported to be underway.

- A government-level strategy and budget allocation for fostering quantum technology are reported to have been announced.

- Demonstrations of quantum communication and quantum key distribution (QKD), centered on telecom carriers and research institutes, are said to be underway.

- Research on qubit hardware and quantum algorithms is being carried out, centered on universities and government-funded research institutes.

- Some companies are reported to have mentioned quantum-related business as a new growth driver.

That said, "pure-play quantum" companies are limited on the domestic listed market, and there is also an assessment that many of the names classified under the quantum theme have small actual revenue contribution or are driven mainly by expectations, so careful sifting is needed.

Industry Application Scenarios in Depth

The value of quantum computing lies not in "doing every calculation faster" but in "solving problems with a particular structure well." Here is a summary of which industries may see utility first.

| --- | --- | --- | --- |

Why Finance and Pharma Come Up First

Portfolio optimization and risk calculation in finance are combinatorial problems with many variables, and molecular simulation in pharma is inherently a quantum-mechanical problem. Both areas are frequently named as candidates that "naturally fit" quantum hardware. That said, a cautious view notes that, at present, demonstrated real advantage over classical computers remains limited.

Quantum Utility Curve (conceptual)

Utility

│ ┌──── Fault-tolerant era (expected)

│ ┌───┘

│ ┌───┘ NISQ era (limited utility)

│ ┌───┘

└──┴────────────────────► Time

present → future (uncertain)

Hardware Approaches in Depth

The physical ways to build a quantum computer split into several branches, each with clear trade-offs. The fact that no "right answer" has been settled makes investment judgment harder.

| --- | --- | --- | --- |

What Matters More Than Qubit Count

Investors often rank players by "qubit count" alone, but experts stress that error rates, gate fidelity, coherence time, connectivity, and above all the number of logical qubits left after error correction are what matter. Even with 1,000 physical qubits, a high error rate can leave only a single-digit number of useful logical qubits.

Physical vs Logical Qubits (concept)

Many physical qubits ──(error correction)──► Few logical qubits

(noisy) (protected, reliable)

Key: "how many useful logical qubits are there?"

Control Electronics and the Cryogenic Ecosystem

The surrounding technology that controls the qubits matters as much as the qubits themselves. The superconducting approach requires vast supporting equipment such as cryogenic coolers, precision control electronics (FD-SOI-based low-power chips are cited), and wiring. For this reason, the "selling shovels" supply chain, namely cryogenic equipment and control-chip companies, is sometimes cited as a separate point of interest.

Post-Quantum Cryptography (PQC) and Cybersecurity in Depth

Within the quantum theme, PQC is almost the only area with "real demand right now."

- harvest-now-decrypt-later: the threat where an attacker collects encrypted data today in order to decrypt it later once a quantum computer is ready. Long-lived sensitive data (state secrets, healthcare, finance) is therefore advised to prepare before a quantum computer is completed.

- Standardization: the U.S. NIST is reported to have announced and finalized post-quantum cryptography algorithm standards, which is cited as a catalyst that accelerates migration by companies and institutions.

- Q-Day: a term for the point at which today's public-key cryptography such as RSA is actually broken. The timing is uncertain, but a consensus is forming that preparation should begin in advance.

PQC Migration Timeline (conceptual)

now ──► standards set ──► gradual migration ──► Q-Day (uncertain)

│ │ │ │

data algorithm system swap current crypto

harvest adoption (takes years) breakable

threat

In this way, because PQC generates real demand as "insurance" regardless of whether a quantum computer is completed, it is assessed as a relatively high-visibility area within the quantum theme.

A Balanced Conclusion

Quantum computing is clearly a real technological advance, and there are areas like cybersecurity (PQC migration) that have an impact right now. At the same time, the prevailing view is that significant uncertainty and time remain before general-purpose, profitable commercialization.

The Bull Case

- Meaningful progress in error correction and logical qubits is being reported

- Early adoption experiments are beginning in finance and pharmaceuticals

- PQC migration generates real demand regardless of whether a quantum computer is completed

- As a national strategic technology, continued investment is being made

The Bear Case

- The road to fault-tolerant machines is long and the overhead is enormous

- Many pure-play quantum firms run large losses and the monetization timeline is opaque

- A supremacy demo does not by itself mean practical value

- Expectation-driven volatility is very high

Overall judgment (conceptual)

Certain areas Uncertain areas

------------- ---------------

PQC/security demand General commercialization timing

Early PoCs underway Timing of reaching fault tolerance

National strategy Which approach wins

Likelihood of monetization

-> "The tech is real, the timing is uncertain" is a reasonable summary

In sum, quantum computing is neither a "scam" nor "magic that will soon change everything." The most reasonable summary is that the technology is real, but the breadth and timing of commercialization are uncertain. If you do invest, an attitude that fully recognizes this uncertainty and takes a long-term approach within a tolerable range is recommended.

> Once more: this article is for informational and educational purposes and is not an investment recommendation. Quantum-related assets are high-risk, and all investment responsibility rests with you. Please consult a qualified professional before any actual investment.

Frequently Asked Questions (FAQ)

Will quantum computers soon replace my PC?

No. Quantum computers have an advantage only for certain kinds of problems, and classical computers will continue to handle everyday computing. The two are likely to remain complementary even in the future.

Can my data be hacked by a quantum computer right now?

For the time being, it is assessed that there is no quantum computer powerful enough to immediately break RSA or ECC. However, because of the harvest-now-decrypt-later threat, it is recommended that long-lived sensitive data hurry its PQC migration.

Should I buy quantum-related stocks?

This article does not recommend any specific security. Quantum-related assets carry very high volatility and uncertainty, so please judge carefully in light of your risk tolerance and investment horizon, and consult a professional.

What is the difference between NISQ and fault tolerance?

NISQ refers to today's noisy quantum computers without error correction. Fault tolerance refers to a next-generation machine equipped with logical qubits protected by error correction; it is considered the stage of true transformation, but its arrival timing is contested.

Which hardware approach wins?

It is not yet decided. Superconducting, trapped ion, photonic, neutral atom, topological, and other approaches are competing, each with its own strengths and weaknesses, and it is possible that multiple approaches will coexist for different uses.

Who should carry out PQC migration?

Every organization that handles sensitive data requiring long-term retention (government, finance, healthcare, infrastructure, and so on) is cited as a priority. A phased migration based on the NIST standards is recommended.

References

- NIST PQC standardization: [https://www.nist.gov/news-events/news/2024/08/nist-releases-first-3-finalized-post-quantum-encryption-standards](https://www.nist.gov/news-events/news/2024/08/nist-releases-first-3-finalized-post-quantum-encryption-standards)

- IBM Quantum: [https://www.ibm.com/quantum](https://www.ibm.com/quantum)

- IonQ: [https://ionq.com](https://ionq.com)

- Quantinuum: [https://www.quantinuum.com](https://www.quantinuum.com)

- Reuters technology section: [https://www.reuters.com/technology/](https://www.reuters.com/technology/)

- Bloomberg technology section: [https://www.bloomberg.com/technology](https://www.bloomberg.com/technology)

- CNBC technology section: [https://www.cnbc.com/technology/](https://www.cnbc.com/technology/)

- Financial Times: [https://www.ft.com/technology](https://www.ft.com/technology)

- Yahoo Finance: [https://finance.yahoo.com](https://finance.yahoo.com)

I hope this article helps you view the subject of quantum computing in a balanced way — neither overstating it nor dismissing it. A perspective that distinguishes the reality of the technology from the distance to commercialization will be a good starting point for sound judgment.