Q-CTRL’s Performance Management on 127-qubit IBM Brisbane Processor.

Q-Ctrl'S Performance Management On 127-Qubit Ibm Brisbane Processor.

Q-CTRL’s performance management is now available on the 127-qubit IBM Brisbane processor, allowing users to build large-scale applications and push the boundaries of quantum computing. The company has been using its error-suppression technology to achieve results at larger scales than previously seen. The technology has been tested using the Bernstein–Vazirani algorithm on 127-qubit IBM systems. Q-CTRL’s techniques have also enabled the generation of GHZ states beyond 50 qubits, surpassing the previous record. This advancement opens up new possibilities for running advanced algorithms and physics simulations at a utility-scale.

“Building on last week’s exciting announcement, we’re thrilled to announce that Q-CTRL’s performance management is now available for you to use on the 127-qubit IBM Brisbane processor through the IBM Quantum Pay-As-You-Go plan. By expanding to larger devices, you can build utility-scale applications and push the limits of what quantum computers can do, as we usher in the era of quantum utility.”

Rowen Wu

Q-CTRL’s Performance Management on IBM’s 127-qubit Processor

Rowen Wu, a representative from Q-CTRL, announced that the company’s performance management is now available for use on the 127-qubit IBM Brisbane processor through the IBM Quantum Pay-As-You-Go plan. This development allows users to build utility-scale applications and push the boundaries of quantum computing capabilities. The company has been conducting extensive benchmarking across different algorithms using their error-suppression technology to achieve results at larger scales than previously published.

Benchmarking Results Using Bernstein–Vazirani Algorithm

The company shared the results of running the Bernstein–Vazirani algorithm, commonly used for benchmarking, on 127-qubit IBM systems. The first image provided shows the success probability, which is the percentage of executions that landed on the correct answer, up to 45 qubits. This data reflects previous demonstrations that the combination of the IBM Quantum system with Q-CTRL’s integrated performance management software can significantly improve over the default settings.

Importance of Selectivity in Quantum Computing

While success probability is an important metric, it doesn’t tell the entire story. As problems get larger, the solution space expands exponentially, meaning that the total probability of the “right” answer will naturally get smaller. Therefore, Q-CTRL also measures something called “selectivity” which represents the effective signal-to-noise ratio. More precisely, selectivity is the ratio of the success probability to the probability of the most likely incorrect bitstring. A selectivity greater than one implies that the solution bitstring is much more probable than any other, boosting the confidence that the algorithm is working as expected.

Q-CTRL’s Error Suppression Techniques

From the success probabilities, it was observed that the likelihood of obtaining even a single correct result without Q-CTRL across thousands of executions drops to zero after 15 qubits. However, with Q-CTRL techniques, correct solutions can still be obtained up to 45 qubits. With Q-CTRL error suppression, selectivity remains above one up to and including 45-qubit tests. This indicates that the process of averaging is helping secure the right answer.

Achieving New Records with Q-CTRL and IBM Quantum

Q-CTRL and IBM Quantum have achieved some exciting new records. One of them is the generation of GHZ states beyond 50 qubits, well above the previous record of a 32-qubit GHZ state. This achievement unlocks new capabilities to run advanced algorithms and physics simulations at utility scale.

“Success probability is an important metric, but it doesn’t tell the entire story. As problems get larger, the solution space expands exponentially, meaning that the total probability of the “right” answer will naturally get smaller. The success probability only tells you how tall the peak in your output is—it doesn’t tell you how much taller it is than the next best alternative.”

Rowen Wu

Access to Q-CTRL’s Technology

Existing IBM Open or Premium users can access this technology. Brisbane is now a supported backend on Q-CTRL’s standalone error-suppression product, Fire Opal, which supports all plan types. The company has also performed customized onboarding for other backends to support customers on Premium plans. Q-CTRL encourages users to try out the benchmarking performance on these utility-scale devices to see how much they can scale their own algorithms and use cases.

“With Q-CTRL error suppression, selectivity remains above one up to and including 45-qubit tests. The signal is still clear enough to have confidence that the process of averaging is helping you secure the right answer.”

Rowen Wu

Summary

The 127-qubit IBM Brisbane processor now supports Q-CTRL’s performance management, enabling larger scale applications and pushing the boundaries of quantum computing capabilities. The use of Q-CTRL’s error-suppression technology has achieved results at larger scales than previously published, including the generation of GHZ states beyond 50 qubits, surpassing the previous record.

“We’re very excited by the benchmarking performance we’re achieving on these utility-scale devices. But don’t just take our word for it—try it out yourself to see how much you can scale your own algorithms and use cases. Create a new Qiskit Runtime instance with Q-CTRL performance management to get started today!”

Rowen Wu
  • Q-CTRL’s performance management is now available for use on the 127-qubit IBM Brisbane processor through the IBM Quantum Pay-As-You-Go plan. This allows for the building of utility-scale applications and pushes the limits of quantum computing capabilities.
  • Extensive benchmarking has been performed using Q-CTRL’s error-suppression technology, achieving results at larger scales than previously published.
  • The Bernstein–Vazirani algorithm was used for benchmarking on 127-qubit IBM systems. The success probability of executions that landed on the correct answer was measured up to 45 qubits.
  • The concept of “selectivity” was introduced, representing the effective signal-to-noise ratio. A selectivity greater than one implies that the solution bitstring is much more probable than any other, boosting confidence in the algorithm’s effectiveness.
  • Without Q-CTRL, the likelihood of obtaining a correct result drops to zero after 15 qubits. With Q-CTRL techniques, correct solutions are obtained up to 45 qubits.
  • Q-CTRL and IBM Quantum have achieved a new record in generating GHZ states beyond 50 qubits, surpassing the previous record of a 32-qubit GHZ state. This allows for the running of advanced algorithms and physics simulations at utility scale.
  • IBM Open or Premium users can access this technology, with Brisbane now a supported backend on Q-CTRL’s standalone error-suppression product, Fire Opal.