Quantum computing has seen several landmark developments in late 2024 and into 2025, with major players pushing past key technical barriers.
Google unveiled their Willow chip in December 2024, achieving a milestone in quantum error correction — errors decreased exponentially as more qubits were added, a goal pursued for nearly 30 years. 1 Willow completed a benchmark in under 5 minutes that would take the fastest supercomputer 10 septillion years.
IBM made parallel progress with their Heron processor, delivering a 5× improvement in error rates. 2 Their updated roadmap targets 100,000 qubits by 2033 with modular quantum systems connected via quantum networking. 23
Microsoft announced Majorana 1 — the first topological qubit chip — leveraging an exotic state of matter to create inherently more stable qubits. 5 If validated, this could dramatically reduce error correction overhead.
On the applications side, new quantum algorithms for optimization and ML are showing practical advantages in drug discovery, with pharma companies reporting quantum-accelerated molecular simulations. 4
⚡ Key Takeaways
→Google Willow solved the 30-year error correction scaling problem
→IBM targets 100K qubits by 2033 via modular quantum networking
→Microsoft’s topological approach could fundamentally change qubit stability
→Drug discovery seeing first real-world quantum speedups
Continue exploring
❓ How does quantum error correction actually work?
❓ Compare Google Willow vs Microsoft Majorana
❓ When will quantum outperform classical for general tasks?