Inside the global race for quantum computing breakthrough

01The countries leading the quantum race

The quantum computing race is a geopolitical contest as much as a scientific one. The United States, China, and the European Union have each committed multi-billion-dollar national strategies, viewing quantum advantage as critical to economic competitiveness and national security. A quantum computer can potentially break widely used encryption schemes, which gives the technology strategic significance beyond its commercial applications.

The United States has invested through the National Quantum Initiative Act (passed in 2018, reauthorized in 2024), which coordinates research across the Department of Energy, National Science Foundation, and NIST. Major corporate players — Google, IBM, Microsoft, and Amazon — operate large-scale quantum research programs with hardware investments exceeding government spending. China's approach is more centralized, with state-funded labs in Hefei and Shanghai focusing on quantum communication networks and photonic quantum computing.

The European Union's Quantum Flagship program, launched in 2018 with €1 billion in initial funding, supports research across member states. The UK, Canada, Japan, and Australia maintain significant national programs. The competitive landscape is less a sprint than a marathon with many finish lines — different countries lead in different subdomains.

Chart 1 — Estimated cumulative quantum technology investment by country

02Google's quantum supremacy claims

In quantum computing, quantum supremacy or quantum advantage is the goal of demonstrating that a programmable quantum computer can solve a problem that no classical computer can solve in any feasible amount of time — regardless of the problem's practical usefulness. The term was coined by John Preskill in 2011, though the concept dates to Yuri Manin's 1980 and Richard Feynman's 1981 proposals of quantum computing.

Google claimed quantum supremacy in October 2019 with its 53-qubit Sycamore processor, which performed a random circuit sampling task in 200 seconds. The company estimated the same task would take a classical supercomputer approximately 10,000 years. IBM contested this claim, arguing a classical system could complete it in 2.5 days — but did not actually demonstrate the computation.

In 2024, Google announced the Willow chip with 105 qubits, demonstrating below-threshold error correction — meaning adding more physical qubits reduced logical error rates, a critical milestone. Google reported Willow completed a random circuit sampling benchmark in under 5 minutes that would take the fastest classical supercomputer an estimated 10^25 years. Whether this constitutes "useful" quantum advantage remains debated, as the benchmark has no commercial application.

03IBM's roadmap to useful quantum

IBM has pursued a different strategy from Google, focusing on superconducting qubit scaling and modular architecture rather than discrete supremacy claims. IBM's quantum roadmap targets a 100,000-qubit system by 2033 through modular interconnects that link smaller quantum processors into larger fabric. The company's current flagship, the Heron processor (156 qubits, announced 2024), improves gate fidelity and incorporates tunable couplers.

IBM's approach emphasizes quantum utility — solving problems that are hard for classical computers but have practical relevance — rather than the narrower concept of supremacy. In 2023, IBM published results showing a 127-qubit Eagle processor simulating physical dynamics of a spin model beyond the reach of classical approximate methods, though classical exact methods could still verify the results.

The company operates the IBM Quantum Network, providing cloud access to quantum hardware to over 250 organizations including Fortune 500 companies and research institutions. This strategy generates revenue while building an ecosystem of quantum software developers, though the hardware available through cloud access remains noisy and limited.

04China's quantum communication network

China has pursued quantum communication more aggressively than quantum computation. In 2016, China launched Micius, the world's first quantum science satellite, enabling quantum key distribution (QKD) over distances up to 1,200 kilometers. By 2021, China had built a 2,000-kilometer QKD backbone connecting Beijing and Shanghai, integrated with the satellite link to form a space-ground quantum communication network.

QKD uses the principles of quantum mechanics — specifically the no-cloning theorem and measurement disturbance — to detect eavesdropping on a communication channel. If an interceptor measures the quantum states being transmitted, the disturbance is detectable by the legitimate parties. This provides information-theoretic security, unlike classical encryption which relies on computational hardness assumptions.

Critics argue QKD has practical vulnerabilities: it requires dedicated hardware, is limited by distance and photon loss, and does not authenticate the channel — solving a different problem than modern encryption. Nevertheless, China's investment signals strategic intent: a nation with a mature quantum communication infrastructure gains secure communications and positions itself for a post-quantum cryptography transition.

05The error correction challenge

The central engineering challenge in quantum computing is error correction. Quantum states are extraordinarily fragile — any interaction with the environment (heat, electromagnetic noise, cosmic rays) causes decoherence and destroys quantum information. Physical qubits today have error rates of roughly 0.1% to 1% per gate operation, meaning useful computation requires millions of physical qubits encoding a smaller number of robust logical qubits.

The surface code is the leading approach: arranging physical qubits in a 2D lattice where redundant measurements detect and correct errors without directly measuring (and destroying) the encoded quantum information. Google's 2024 Willow result was significant precisely because it demonstrated below-threshold operation — the logical error rate decreased as more physical qubits were added, confirming the code works as theory predicts.

Microsoft took a different theoretical path with topological qubits, which encode information in non-local properties of quasiparticles called Majorana zero modes, making them inherently resistant to local noise. In 2025, Microsoft announced its first topological qubit with a Majorana-based design, though independent verification remains limited. If scalable, topological qubits would dramatically reduce the physical-to-logical qubit overhead, but the approach remains experimental.

06Quantum sensing and quantum cryptography

Beyond computing, quantum technology encompasses sensing and cryptography — fields closer to practical deployment. Quantum sensors exploit quantum coherence to measure physical quantities — magnetic fields, gravity, time — with precision beyond classical limits. Atomic clocks based on optical lattice technology achieve stability of 10^-19, enabling GPS-free navigation. Quantum gravimeters detect underground structures and mineral deposits by measuring gravitational anomalies at unprecedented sensitivity.

Post-quantum cryptography (PQC) is the defensive counterpart to quantum computing's offensive potential. NIST standardized PQC algorithms in 2024 — CRYSTALS-Kyber for key encapsulation and CRYSTALS-Dilithium for digital signatures — replacing RSA and ECC, which a sufficiently large quantum computer could break via Shor's algorithm. The transition to PQC is already underway: the U.S. Office of Management and Budget directed federal agencies to complete migration by 2035.

Quantum random number generators (QRNGs) — which produce true randomness from quantum measurement — are commercially available and deployed in lottery systems, gaming, and some encryption products. These represent quantum technology's most mature commercial application, with no theoretical or engineering barriers to widespread adoption.

07When will quantum computers be practical?

The honest answer: nobody knows. Current hardware implementations of quantum computers are noisy, small, and limited to proof-of-concept demonstrations. The threshold for practical advantage — a quantum computer solving a commercially relevant problem faster than the best classical alternative — has not been crossed. Estimates for achieving this range from 5 to 20 years, with significant disagreement among experts.

Chart 2 — Key quantum computing milestones, 1980–2026

The most likely near-term applications are in quantum simulation — modeling molecular dynamics for drug discovery, materials science, and catalyst design — where quantum computers have a natural advantage because the problems themselves are quantum mechanical. Financial optimization, logistics, and machine learning are frequently cited, but classical algorithms continue to improve, raising the bar quantum must clear.

The technology's strategic dimension — particularly the threat to current encryption — means investment will continue regardless of commercial viability. A nation that achieves fault-tolerant quantum computing first gains the ability to break adversaries' encrypted communications, a capability whose value transcends any market calculation. This strategic asymmetry ensures the quantum race will continue even if commercial returns remain distant.