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ExplainerQuantum ComputingScientific Milestone· 3 min read· in Community

IBM Quantum Processor Completes 110-Year Supercomputer Task in 19 Seconds

IBM's Nighthawk r2 quantum processor has successfully executed a complex sampling task in just 19 seconds, a calculation that would take the world's fastest classical supercomputers an estimated 110 years. The milestone marks a significant demonstration of quantum advantage on a commercially accessible cloud platform.

By Hui Lin

Quantum Hardware Optimists 60%Classical Computing Skeptics 40%
Quantum Hardware Optimists
View the experiment as definitive proof that cloud-based quantum systems have crossed the threshold of practical utility.
Classical Computing Skeptics
Argue that classical algorithms will eventually be optimized to reduce the 110-year gap significantly.

Perspectives this story doesn't cover

  • Commercial Cloud Customers
  • Cryptography Security Experts

Why this matters

This breakthrough proves that quantum computers can now decisively outperform classical supercomputers on specific tasks without requiring specialized, isolated laboratory conditions. By achieving this on a publicly accessible cloud processor, the research moves quantum computing from theoretical promise closer to practical, widespread application.

A computation that would take the world's fastest supercomputer 110 years to finish has just been completed in 19 seconds. Operating through a standard cloud connection, IBM's Nighthawk r2 quantum processor generated one million samples of a highly complex quantum state, executing a workload that fundamentally outpaces classical hardware.[1][2]

The achievement, detailed in a 2026 preprint on arXiv, centers on a benchmark known as random-circuit sampling. First author Tigran Sedrakyan, a theoretical condensed matter physicist at the US-based firm BlueQubit, led an international research team that pushed the commercially available 120-qubit processor to a new threshold.[1][2]

"To our knowledge, this is the first demonstration of quantum advantage for a vanilla random-circuit sampling on a commercially and broadly accessible quantum processor that most non-expert quantum computer users can easily replicate," Sedrakyan and his colleagues wrote in the study.[1]

The researchers isolated a 61-qubit square-lattice subset of the Nighthawk r2 chip. They subjected these qubits to 36 cycles of randomized operations, utilizing 918 two-qubit entangling gates to create an increasingly complex and highly entangled quantum state.[2][3]

The computational gap between the Nighthawk r2 processor and classical supercomputers for random-circuit sampling.

Measuring that state one million times took the quantum processor exactly 19 seconds. To understand the classical equivalent, the team used tensor-network contraction methods to estimate the burden on traditional silicon-based architecture.[1][2]

Measuring that state one million times took the quantum processor exactly 19 seconds.

They calculated that reproducing those exact million samples classically would require approximately 1.2 × 10²⁷ machine operations. Even for Frontier, the US Department of Energy's exascale supercomputer capable of over one quintillion operations per second, that workload translates to roughly 110 years of continuous computing time.[1][3]

What distinguishes this 2026 milestone from previous quantum supremacy claims is the hardware's accessibility. The experiment was not conducted on a fragile, highly calibrated prototype in an isolated laboratory. Instead, the team accessed the Nighthawk r2 through IBM's standard cloud platform, using the same software stack available to commercial clients.[1][2]

Classical supercomputers like Frontier rely on massive arrays of CPUs and GPUs to perform calculations.

The researchers validated the quantum processor's accuracy using two independent fidelity estimators: mirror benchmarking and cross-entropy benchmarking across smaller circuit patches. These checks confirmed that the 19-second output maintained structural integrity and was not simply generating random noise.[3]

Classical computing researchers frequently develop algorithmic shortcuts that reduce the time required to simulate quantum circuits, meaning the 110-year estimate is not an absolute physical limit. However, the sheer scale of the 1.2 × 10²⁷ operation gap establishes a definitive margin where quantum hardware practically overtakes classical systems for this specific mathematical task.[1][3]

While random-circuit sampling is a specialized benchmark rather than a direct consumer application, the successful execution of 918 entangling gates demonstrates that cloud-based quantum systems can now handle deep, complex circuits reliably. The public release of the team's code and measurements allows independent researchers to verify the results, setting a new baseline for the quantum industry's capabilities.[2][4]

Key points

  1. IBM's Nighthawk r2 processor completed a complex quantum sampling task in 19 seconds.
  2. The same calculation would take the exascale Frontier supercomputer an estimated 110 years.
  3. The experiment utilized 61 qubits and 918 entangling gates on a commercially accessible cloud platform.
  4. Researchers validated the results using independent fidelity estimators to rule out random noise.
  5. The achievement marks a major milestone for quantum advantage outside of isolated laboratory conditions.

Sources

Source coverage

4 outlets

2 viewpoints surfaced

Quantum Hardware Optimists 60%Classical Computing Skeptics 40%
  1. [1]ScienceAlertClassical Computing Skeptics

    IBM's Quantum Computer Completes in 19 Seconds What Could Take a Supercomputer a Century

    Read on ScienceAlert →
  2. [2]arXivQuantum Hardware Optimists

    Quantum computational advantage in random-circuit sampling on IBM superconducting quantum computers

    Read on arXiv →
  3. [3]MoonlightQuantum Hardware Optimists

    [Literature Review] Quantum computational advantage in random-circuit sampling on IBM superconducting quantum computers

    Read on Moonlight →
  4. [4]Factlen Editorial TeamQuantum Hardware Optimists

    Synthesis by Factlen editorial team

    Read on Factlen Editorial Team →

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