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Researchers from Rutgers, IBM and collaborating institutions demonstrated real-time measurement and reset control on a chain of up to 100 qubits using an IBM Heron processor. The team reports that the experiment showed a shift from chaotic behavior to control as resets became more frequent than scrambling, a capability relevant to future quantum error correction.
Researchers from Rutgers, IBM and collaborating institutions demonstrated real-time feedback control across a connected chain of up to 100 qubits, repeatedly measuring and resetting parts of a quantum processor while it continued operating. In the experiment, a 156-qubit IBM Heron processor carried out nearly 5,000 two-qubit operations and nearly 5,000 measurements and resets, a step toward the repeated checks needed for future fault-tolerant quantum computing.
The study, published in Nature Physics, tested how feedback can counteract scrambling in a quantum system. Researchers alternated between operations that mixed information among neighboring qubits and measurements followed by resets intended to steer the system toward a chosen orderly state. They varied the relative frequency of the two processes to see which behavior dominated.
The researchers report that when scrambling occurred more often, the system remained chaotic; when measurements and resets occurred more often, they gained control over its behavior. Near an approximately 50-50 balance, the system showed a sharp change between the two regimes, consistent with theoretical predictions described by the team. The experiment’s nearly 5,000 two-qubit operations and nearly 5,000 measurement-and-reset cycles were performed on a connected chain of as many as 100 qubits, rather than all 156 qubits on the processor.
The demonstration focused on real-time quantum feedback: checking the system and acting on the result while other operations continue. The research team described it as among the largest demonstrations of this approach to date. That is a claim about the scale of this specific type of experiment, not evidence that the processor is already fault tolerant or can run useful error-corrected computations.
Feedback at Quantum Scale
Quantum information is fragile: environmental disturbances and imperfect operations can introduce errors that build up during a calculation. Future fault-tolerant systems are expected to need repeated detection and correction of errors while computation proceeds. The experiment addresses one part of that challenge by showing that measurement, reset and quantum operations can be coordinated repeatedly on a large processor section.
The result does not establish that the researchers built a fault-tolerant computer. It demonstrates a control capability that could contribute to that goal, while leaving major engineering and scientific challenges ahead. In particular, a complete error-correction system must identify errors and correct them without destroying the quantum information needed for the computation. The reported behavior also matters to researchers studying how observation and feedback can change the dynamics of quantum systems, including the emergence of order from chaotic behavior.
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From Reset Cycles to Error Correction
Conventional computers represent information with bits that are either 0 or 1. Quantum computers use qubits, which can occupy superpositions of possible states until measured. That property enables different kinds of computation, but also makes quantum information sensitive to noise and control imperfections. Measurement can alter a quantum state, so using it repeatedly as part of a computation requires carefully designed operations.
Researchers used the IBM Heron processor to study this problem through a controlled competition: one process scrambled information between neighboring qubits, while another checked and reset qubits. The team changed the balance between those processes and observed a transition in the system’s behavior. The work builds on theoretical predictions about how repeated measurements can suppress or reshape quantum dynamics; the source account says the observed shift was consistent with those predictions.
Fault tolerance remains a future objective. As Rutgers physics professor Jedediah Pixley put it, a working system will need to make checks and corrections many times during a calculation, not just once or twice. The present experiment tests repeated feedback at scale, but it is not itself a demonstration that a quantum computer can maintain reliable results through a full fault-tolerant computation.
“To build a fault-tolerant quantum computer, we have to make these checks and corrections not just once or twice, but a huge number of times during a calculation.”
— Jedediah Pixley, Rutgers physics professor and a senior author of the study
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Limits of the Demonstration
The report describes a control experiment, not a complete quantum error-correction system. It does not establish that the processor corrected computational errors throughout a useful calculation, nor that it can preserve reliable results at fault-tolerant scale. The source material also does not provide enough detail to assess performance against alternative control methods or quantify how the demonstrated protocol affects the accuracy of other workloads.
The 100-qubit figure refers to the connected chain used in the experiment on a 156-qubit processor. The reported transition occurred at about an even balance between scrambling and reset activity, but the available account does not specify a broader range of hardware conditions or how robust the observed behavior is under different circuit designs. Further work will be needed to determine how these methods contribute to practical error correction.
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Next Steps Toward Fault Tolerance
The immediate research question is how to extend repeated feedback from a controlled demonstration to systems that detect and correct computational errors during real workloads. That will require integrating measurements and resets with error-correction protocols, testing the approach across different circuits and hardware conditions, and determining whether performance remains reliable as system size and operation counts grow.
The study’s publication in Nature Physics provides a reported result and a basis for follow-up research, but the source material does not identify a specific next experiment or timetable. Until further demonstrations show error correction operating repeatedly within computations, fault-tolerant quantum computing remains an objective rather than an achieved capability.
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Key Questions
What did the Rutgers and IBM researchers demonstrate?
They demonstrated repeated measurements and resets used to control behavior on a connected chain of up to 100 qubits while the processor continued running.
Which processor did the team use?
The experiment ran on a 156-qubit IBM Quantum Heron processor. The researchers used a connected chain of as many as 100 qubits for the reported test.
Did the experiment produce a fault-tolerant quantum computer?
No. It demonstrated a feedback-control capability relevant to future error correction, but the report does not say the processor performed a fault-tolerant computation.
What happened when the researchers changed the balance between scrambling and resets?
The researchers report that scrambling dominated when it occurred more often, while more frequent checks and resets allowed them to steer the system toward an orderly state. They observed a sharp change near an approximately even balance.
Why does repeated measurement matter for quantum computing?
Future fault-tolerant machines are expected to check for errors repeatedly during computation. The experiment tested whether measurements and resets could be coordinated at scale while other quantum operations continued.
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