IBM advances toward quantum advantage with three demonstrations of new, more reliable methods for validating results

IBM has shared three demonstrations of quantum advantage developed in collaboration with Qedma, Algorithmiq, and the University of Chicago. These projects, the company claims, represent progress toward establishing a reliable quantum computing framework capable of validating calculation results, surpassing the verification capabilities of classical systems.

Specifically, the technology company has published three independent papers that address the same challenge: how to trust the results of a quantum computer when the problem it solves cannot be verified using currently available classical simulations.

These projects, presented by IBM at a meeting attended by Europa Press, demonstrate the viability of reliable quantum computing with error mitigation. “They show that quantum computers can solve problems that go beyond the classical methods that can be run on the largest classical computers,” emphasized Jay Gambetta, Director of IBM Research and IBM Fellow.

In collaboration with the quantum error-reduction software company Qedma Quantum Computing, IBM has demonstrated a quantum advantage case centered on a two-dimensional Floquet-Ising model from materials physics, which physicists use to study how the magnetic properties of a material evolve when rhythmically stimulated by external pulses.

The software developed by Qedma was run on IBM’s quantum computers, equipped with the IBM Quantum Heron processor, where researchers observed complex, long-term quantum dynamics in systems of up to 74 qubits, enabling them to reach a paradigm where classical approaches “failed to provide consistent and reliable answers.”

Compared to supercomputing resources from Japan’s National Institute of Comprehensive Research (RIKEN) and the quantum circuit simulation company BlueQubit, the software has made it possible to accurately resolve the dynamics of quantum materials that cannot be observed through classical simulation. This translates into an opportunity to explore physics related to ultrafast optoelectronics, light-induced superconductors, and other advanced materials applications.

Meanwhile, the work carried out in collaboration with the Italian company Algorithmiq, which focuses on programming quantum computers to solve the most complex problems, presents a framework for reliable quantum computing that goes beyond classical verification, in this case with a simulation of heterogeneous matter.

This matter presents several challenges, and the quantum simulation of heterogeneous matter designed by Algorithmiq, which has also been run on IBM quantum computers, not only aimed to solve these problems but also demonstrated that the calculation remains valid even when there is no longer a classical method capable of directly verifying the result.

This use case continues to be listed, eight months after its inclusion in the Quantum Advantage Tracker, among the demonstrations that still compete with the best known classical methods, which, according to the company, reinforces the robustness of the proposed approach.

As Algorithmiq co-founder and CEO Sabrina Maniscalco stated, “For an exponential technology like quantum computing, a verified and openly controversial example of quantum advantage is the tipping point: proof that the curve is real, not a projection.”

Finally, the third quantum advantage demonstration features research developed with the University of Chicago that addresses the same problem but from the perspective of error-tolerant logic computing.

As the company explained, the researchers used a new error-correction method to build and operate 70 logic qubits, on which they ran a circuit designed to solve a problem that IBM considers intractable for classical computing.

According to IBM, the work constitutes a demonstration of reliable quantum computing based on logic circuits and shows that error correction mechanisms can be used to obtain verifiable results in calculations that exceed the validation capabilities of classical systems.

The company has emphasized how the three cases represent different approaches to demonstrating that the results obtained by quantum systems can be verified using specific methodologies.

Overall, IBM frames this research within its objective of developing a foundation of trust for future scientific applications in quantum computing, through different approaches to error mitigation and correction.