Summary
Signs are mounting that the center of gravity in the technology-supremacy race is shifting from artificial intelligence (AI) to quantum computing. Google has confirmed that logical error rates actually decline as qubit counts increase, and Microsoft has unveiled a chip built on a new type of qubit — developments that have investors asking where the next capital-expenditure cycle will head after the AI infrastructure buildout. Still, hurdles remain before commercialization, chiefly the maturation of physical qubits and error-correction technology, so it's important to separate thematic hype from actual revenue contribution.
What Happened
Google said its proprietary quantum chip showed logical error rates falling exponentially as qubit counts increased. This means quantum computers can actually become more stable as they scale up — a reversal of what has long been considered the field's biggest weakness, namely that adding more qubits tends to introduce more errors. Microsoft also introduced a chip based on a new approach called topological qubits, laying out a roadmap for achieving stable qubits using a small number of physical components. IBM, meanwhile, is targeting the late 2020s for the commercialization of a large-scale, error-corrected quantum computer and is developing both the hardware and software stack in parallel.
It is no coincidence that three Big Tech companies delivered results around the same time using three different qubit approaches. It reads as a signal that the massive capital once poured into AI training and inference infrastructure is now sowing the seeds of the next technology cycle. South Korea, too, enacted a law last year to promote quantum science, technology, and industry, establishing a national-level support framework, while domestic telecom carriers and component makers already operate related businesses.
Structural Context
Like the AI semiconductor industry, the quantum computing industry needs to be viewed as a value chain with distinct stages. Hardware approaches — superconducting, ion-trap, photonic, neutral-atom, and topological qubits — are competing at the base layer, while quantum error correction (QEC), which addresses errors in physical qubits, sits as the key bottleneck above that. At the current state of the technology, it is said to take tens to hundreds of physical qubits to produce a single stable logical qubit. How quickly that ratio can be lowered will determine the timing of commercialization, and only once that threshold is cleared will application software markets — drug candidate discovery, new material design, financial portfolio optimization — truly open up. For now, the competition remains focused on lowering error rates at the hardware stage; the application stage is still some distance away.
Stock (Ticker) and Industry Sector Impact
- SK Telecom: Operates a quantum key distribution (QKD) business through its acquisition of Switzerland's ID Quantique (IDQ), but this belongs to the communications-security domain rather than quantum computing hardware. There are expectations of policy tailwinds, but the scale of the earnings contribution needs to be verified separately.
- Samsung Electronics (005930): Its advanced-node foundry capabilities could eventually translate into demand for contract manufacturing of superconducting qubit chips, but since ion-trap and photonic approaches rely less on silicon foundries, the benefit may be limited to specific qubit types.
- Wooriro: A KOSDAQ-listed company supplying single-photon detectors for quantum communication domestically, often cited as a representative domestic quantum theme stock, though its small revenue base makes its share price highly volatile.
- IBM, Alphabet (Google), Microsoft: Big Tech companies developing both hardware and software stacks in parallel with their own capital, currently holding the early lead in this race toward commercialization.
- IonQ, Rigetti Computing, D-Wave Quantum: Pure-play quantum computing companies listed in the U.S. With commercial revenue still minimal, their share prices carry significant binary risk tied to individual news events.
Bullish vs. Bearish Scenarios
In the bullish scenario, error-correction technology improves faster than the market expects, pulling forward the commercialization timeline. If Big Tech's research momentum continues alongside government budget execution across countries, related component and telecom stocks could see a re-rating. In the bearish scenario, the ratio of physical to logical qubits fails to improve meaningfully, repeatedly pushing back commercialization. With no clear commercial killer application yet validated, theme stocks that have rallied on expectations alone would be exposed to pullback risk during the earnings vacuum.
Investor Action Points
- Track whether IBM follows through on its large-scale error-corrected quantum computer roadmap, along with the timing of follow-up papers and announcements from Google and Microsoft.
- When SK Telecom reports earnings, check the revenue contribution of its quantum cryptography communication division separately to distinguish thematic hype from actual profit-and-loss impact.
- Monitor South Korea's budget execution plans for quantum industry development and related ministry announcement schedules.
- Track the cash-burn rate and any emerging commercial revenue at U.S.-listed pure-play quantum computing companies in their quarterly earnings.
This article was automatically summarized and analyzed based on the original news report. View original (Yonhap News Industry)
