TLDR
- IBM’s quantum computer successfully simulated the behavior of a real magnetic crystal, matching results from physical neutron scattering experiments.
- The research involved scientists from six institutions, including Oak Ridge National Lab, Purdue, and Los Alamos.
- The milestone was previously thought to require large-scale, fault-tolerant quantum computers — not today’s hardware.
- IBM is targeting 2029 for its first fault-tolerant quantum supercomputer, nicknamed Starling.
- BMO Capital has a $290 price target on IBM; BofA Securities has a Buy rating with a $340 target.
IBM just cleared a bar that most researchers didn’t expect to be cleared yet.
International Business Machines Corporation, IBM
A pre-print paper uploaded to arXiv on Wednesday details how IBM’s quantum computer simulated a real magnetic material — and matched results from an actual physical experiment. The material in question was a magnetic crystal called KCuF3.
Researchers used a process called neutron scattering to study the crystal’s properties in a lab. They then ran the same scenario on IBM’s quantum hardware. The two sets of results lined up.
“This is the most impressive match I’ve seen between experimental data and qubit simulation,” said Allen Scheie, a condensed matter physicist at Los Alamos National Laboratory. He added that the result “raises the bar for what can be expected from quantum computers.”
The research was a collaboration between IBM and scientists at six institutions: Oak Ridge National Laboratory, Los Alamos National Laboratory, Purdue University, the University of Illinois Urbana-Champaign, the University of Tennessee, and IBM itself. The work was funded in part by the U.S. Department of Energy’s Quantum Science Center.
Why This Result Matters Now
The accuracy of the simulation came down to improvements in two-qubit error rates on IBM’s processors, according to Abhinav Kandala, a principal research scientist at IBM. The team combined quantum hardware with classical computing workflows to get there.
What makes this a talking point is timing. This level of simulation accuracy was generally assumed to be out of reach until fault-tolerant quantum computers arrived — machines that can keep functioning even when individual components fail. Those systems don’t exist yet at scale.
IBM’s own roadmap puts its first fault-tolerant quantum supercomputer, codenamed Starling, at 2029. That system is expected to carry 20,000 times the processing power of today’s machines.
Classical computers struggle to model materials at the quantum level because the interactions are too complex. The fact that a quantum processor handled it accurately points to real progress in the underlying hardware.
The team has also extended the approach to simulate material classes beyond KCuF3, targeting systems with more complex interactions.
IBM’s Broader Picture
IBM has been active on multiple fronts recently. The company completed its $11 billion acquisition of Confluent, paying $31 per share in cash. Confluent serves more than 6,500 enterprises, including 40% of the Fortune 500.
IBM also expanded its partnership with NVIDIA to help enterprises scale AI operations, with a focus on GPU-native data analytics and infrastructure.
On the analyst side, BMO Capital lowered its price target for IBM to $290 while keeping a Market Perform rating. BofA Securities maintained a Buy rating with a $340 price target, pointing to IBM’s positioning in agentic AI.
IBM currently trades at a P/E ratio of 21.7 and posted revenue growth of 7.6% over the last twelve months, with a market cap of $226.5 billion.
The pre-print has not yet completed formal peer review.
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