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Quantum Computers and Supercomputers Simulate Molecule with 12,635 Atoms in Record Effort

Researchers from the Cleveland Clinic, IBM, and RIKEN used two quantum computers and two supercomputers to simulate a molecule with 12,635 atoms, marking a record for quantum hardware. The hybrid approach targeted protein-ligand complexes in water, achieving competitive energy estimates. The calculation spanned over 100 hours and was faster with quantum involvement.

New Scientist
1 source·May 5, 6:40 AM(1 day ago)·1m read
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Quantum Computers and Supercomputers Simulate Molecule with 12,635 Atoms in Record EffortAnita Fors (Chalmers) / Wikimedia (CC BY-SA 4.0)
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Two quantum computers and two supercomputers have simulated a molecule with 12,635 atoms, determining its properties and setting a record for the largest molecule handled by quantum hardware. The effort involved researchers at the Cleveland Clinic in Ohio, IBM, and RIKEN, who developed a hybrid approach combining quantum computers and supercomputers.

They simulated two protein-ligand complexes in a layer of water, with one molecule about 40 times bigger than the previous largest simulated using a quantum computer.

@NewScientist reported the collaboration focused on well-studied examples in biomedical sciences to mimic lab conditions. The team used two IBM Heron quantum computers, one located at RIKEN and one at the Cleveland Clinic. They paired these with two supercomputers, Fugaku and Miyabi-G, which rank among the most powerful in the world.

The simulations estimated the lowest energies of the molecules, with accuracy competitive with some standard methods. The calculation between the quantum computers and supercomputers lasted more than 100 hours, dividing tasks to leverage quantum strengths for specific molecular fragments while supercomputers handled the rest.

Jerry Chow at IBM stated the process was faster than it would have been without quantum hardware.

'This has been a dream of mine, and here we are,' said team member Kenneth Merz at the Cleveland Clinic. The hybrid method addressed quantum computers' current limitations in size and error rates by integrating them with conventional supercomputers.

Junyu Liu at the University of Pittsburgh in Pennsylvania described the scale as genuinely impressive and noted it offers practical steps toward useful quantum calculations.

Key Facts

Record simulation achieved
Two quantum computers and two supercomputers simulated a molecule with 12,635 atoms, determining its properties.
Hybrid approach developed
Collaboration between Cleveland Clinic, IBM, and RIKEN created method combining quantum and supercomputers for two protein-ligand complexes in water.
Hardware used
Two IBM Heron quantum computers (at RIKEN and Cleveland Clinic) and supercomputers Fugaku and Miyabi-G employed.
Calculation details
Process lasted over 100 hours, faster with quantum hardware, and estimated lowest energies with competitive accuracy.
Scale comparison
Simulated molecule is about 40 times larger than previous quantum simulation record.

Story Timeline

6 events
  1. 2026-05-05

    Simulation of molecule with 12,635 atoms completed using hybrid quantum-supercomputer approach.

    1 source@NewScientist
  2. Recent weeks prior to 2026-05-05

    Calculation between quantum computers and supercomputers lasted more than 100 hours.

    1 source@NewScientist
  3. Recent period prior to simulation

    Researchers at Cleveland Clinic, IBM, and RIKEN developed hybrid approach for protein-ligand complexes.

    1 source@NewScientist
  4. Undated prior record

    Previous largest molecule simulated using quantum computer was about 40 times smaller.

    1 source@NewScientist
  5. Ongoing context

    Quantum computers used to address limitations in simulating quantum states for drug molecules.

    1 source@NewScientist
  6. Future outlook

    Work seen as first step toward quantum advantage in molecular simulations.

    1 source@NewScientist

Potential Impact

  1. 01

    Advances drug discovery by enabling larger molecular simulations for protein behavior.

  2. 02

    Increases collaboration between institutions like IBM and research centers for biomedical simulations.

  3. 03

    Encourages hybrid quantum-classical methods for practical applications despite current hardware limits.

  4. 04

    Sets benchmark for future quantum simulations, potentially speeding up new drug identification.

  5. 05

    Pushes development toward error-proof quantum computers for superior performance.

Transparency Panel

Sources cross-referenced1
Confidence score75%
Synthesized bySubstrate AI
Word count253 words
PublishedMay 5, 2026, 6:40 AM
Bias signals removed4 across 4 outlets
Signal Breakdown
Loaded 4

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