A decade of quantum on the cloud

2026-07-07 · Source: IBM Research · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

IBM's Quantum Experience, launched on May 4th, 2016, marked a decade of making real quantum computers accessible via the cloud, leading to hundreds of thousands of users and trillions of executions. Before this, quantum access was limited to specialized labs, with volatile experiments and a deep divide between theory and practice. IBM's internal project, starting with a 5-qubit processor, aimed to provide stable access, validated by public interest. This initiative fostered a community, leading to the release of the open-source Qiskit toolkit and over 5,000 research papers. Early work, like Oak Ridge National Laboratory's molecular simulations, focused on bridging the theory-experiment gap and integrating quantum with high-performance computing. IBM's roadmap continues to scale devices, currently offering 100+ qubit systems running 5,000+ gates, with plans for fault-tolerant quantum computers (200 logical qubits, 100 million gates) by the decade's end, enabling scientific discovery beyond classical simulation.

Key takeaway

For research scientists and AI architects evaluating quantum computing's long-term impact, recognize that open cloud access has fundamentally shifted the field from lab experiments to a collaborative ecosystem. Your focus should now extend beyond theoretical understanding to actively engaging with platforms like IBM Quantum Experience and Qiskit. Plan for the integration of quantum-centric supercomputing, leveraging current 100+ qubit systems and preparing for future fault-tolerant architectures to tackle problems currently intractable with classical methods.

Key insights

Cloud access to quantum computers transformed a niche lab experiment into a global, collaborative scientific and industrial ecosystem.

Principles

• Open access accelerates quantum ecosystem growth.
• Community feedback guides hardware/software evolution.
• Hybrid quantum-HPC integration is essential.

Method

IBM initiated cloud access with an MVP 5-qubit processor, then released Qiskit, fostering community feedback. This led to continuous hardware upgrades and software optimization for hybrid HPC integration.

In practice

• Utilize cloud quantum platforms for algorithm testing.
• Engage with open-source quantum toolkits.
• Explore hybrid quantum-classical computing.

Topics

• Quantum Computing
• Cloud Quantum Platforms
• IBM Quantum Experience
• Qiskit
• High-Performance Computing
• Fault-Tolerant Quantum Computing

Best for: AI Scientist, Research Scientist, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by IBM Research.