A new photonic quantum computer from China manipulates over 3,000 particles, staking a fresh claim in the global race to build commercially viable quantum machines.
A Chinese research team has developed a new quantum computing prototype, “Jiuzhang IV,” that can manipulate and detect 3,050 photons, according to a study published in the journal Nature on May 13. The machine’s performance on a specific task known as Gaussian Boson Sampling represents a significant leap, creating a new benchmark in the ongoing competition with publicly traded quantum firms like IonQ (NYSE: IONQ) and D-Wave Quantum (NYSE: QBTS).
The research was led by Pan Jianwei of the University of Science and Technology of China, a prominent figure in the country’s quantum efforts. The team claims the prototype's processing power for this specialized sampling problem is far greater than that of the world's fastest traditional supercomputers.
Gaussian Boson Sampling is a complex computational problem that involves calculating the distribution probability of countless particles moving through intricate pathways. While not a universal quantum computer, Jiuzhang IV’s proficiency at this task demonstrates a high degree of control over photonic qubits, one of several competing technologies in the sector.
The breakthrough intensifies the high-stakes race for “quantum supremacy,” the point at which a quantum computer can perform a calculation that no conventional computer can feasibly complete. This development could spur increased investment and competition in the sector, potentially affecting stocks of companies involved in quantum research, photonics, and advanced computing hardware.
The Race for Quantum Supremacy
The global effort to build a fault-tolerant quantum computer has spawned a variety of technological approaches. The Jiuzhang series uses photonic quantum computing, which relies on particles of light. This contrasts with the methods used by its North American competitors. D-Wave, for instance, focuses on quantum annealing systems, which are well-suited for optimization problems, alongside a push into gate-based systems. IonQ, meanwhile, uses trapped-ion qubits for its architecture.
Each method has distinct advantages and challenges. Photonic systems can operate at room temperature, but scaling the number of photons has been a major hurdle. The 3,050-photon capability of Jiuzhang IV marks a substantial advance. In contrast, gate-based systems, pursued by IonQ and others, are considered more versatile for a wider range of problems but have historically faced higher error rates and scalability issues.
An Investor's Guide to a Volatile Sector
For investors, the quantum computing sector remains a high-risk, high-reward frontier. Stocks in the sector, including D-Wave, IonQ, and Quantum Computing Inc. (NASDAQ: QUBT), have seen explosive growth and significant volatility. While D-Wave’s stock is down nearly 23% this year, it has risen over 20-fold since October 2024, according to one market report. The entire sector has been subject to sharp rallies and sell-offs, often driven by research milestones and earnings reports that show surging bookings but lumpy revenue.
Valuations are steep; D-Wave carries an $8 billion market cap despite expecting that initial “quantum utility”—the point of commercial viability—may not be reached until 2032. The path to profitability is long and uncertain, and single-day stock moves of over 20% are not uncommon. China's latest breakthrough serves as another reminder of the intense global competition and the long road ahead before any single company or technology achieves clear market dominance.
This article is for informational purposes only and does not constitute investment advice.
