LOS ANGELES, CA, May 06, 2026 -- Q-CTRL, the global leader in quantum infrastructure software, today announced it has achieved a 3,000 times speedup on a problem of commercial relevance using the IBM Quantum Platform. Q-CTRL has achieved evidence of practical quantum advantage over performance-optimized industry-standard classical software on a known, practically useful problem in materials science, marking the first achievement of practical quantum advantage.

At a scale beyond the reach of exact calculation, Q-CTRL used the native integration of its performance-management software on the IBM Quantum Platform to successfully run a quantum algorithm and return results with accuracy meeting industry-standard expectations. The quantum algorithm took just two minutes to run, while the same problem took over 100 hours using the best classical tools to execute on classical hardware.

With approximately one-third of global supercomputer time currently dedicated to chemistry and materials simulation, delivering new computational capabilities can be transformative for applications critical to the future of energy. However, these applications remain constrained by massive computational bottlenecks.

Quantum computers often follow the same quantum physics as the problems being simulated, making these prime candidates for quantum acceleration.

The Q-CTRL team compared its quantum calculations, focused on how electrons in materials give rise to the properties we use for energy transmission, storage, and generation, to the best implementation of a state-of-the-art, industry-standard software package from the materials-science community.

The two approaches agreed, up to a point. To improve the agreement, the team had to increase the resolution of the classical simulation, at the cost of a major blowout in execution time: the classical simulation increased to over 3,000 times longer than the time required by the IBM quantum computer.

Despite their promise, quantum computers can be limited by noise and errors, which can degrade performance and prevent users from achieving useful results on relevant problems. Q-CTRL’s performance-management infrastructure software addresses this problem and expands the capabilities of today’s most advanced machines.

The specific infrastructure software configuration used for these demonstrations will soon be publicly accessible on the IBM Quantum Platform as a new Qiskit Function, so anyone can build off of these results and incorporate quantum computing directly into their chemistry and materials R&D.

This outcome follows just one year after Q-CTRL demonstrated commercial quantum advantage in navigation, producing a GPS-free quantum navigation system that outperformed the best like-for-like classical alternative by 100 times. These milestones highlight how Q-CTRL’s focus on quantum control infrastructure software as a quantum-hardware enabler has proven key to advancing the entire quantum industry.

Editor’s note

Practical quantum advantage refers to the point where quantum computers outperform the best available conventional alternative in a real-world application of known commercial or scientific relevance.

In summary, the Q-CTRL team demonstrated that an IBM quantum computer augmented by its infrastructure software running on the IBM Quantum Platform can:

• Execute a problem of known value at a scale that is meaningful and challenging
• Reach a solution over 3,000 times faster in wall-clock time than the state-of-the-art industry-standard alternative run on accessible hardware.
• Complete the task in a practically relevant amount of time and simultaneously deliver solution accuracy that meets or exceeds existing tooling and user expectations.

The computational problem studied is Fermionic Simulation, which is both of known value to industry practitioners in materials science and physics, and understood to scale poorly for classical computers, making it a prime candidate for long-term sustainable advantage as the capabilities of quantum computers mature. Formally, this problem resides in a known complexity class called BQP, which quantum computers can efficiently solve.

The quantum algorithm in use required 120 qubits and over 10,000 two-qubit quantum-logic operations, and was enhanced by Q-CTRL’s performance-management software, making this demonstration only achievable for end users today on public quantum computers from IBM.

In its benchmarking, the Q-CTRL research team compared quantum-computer outputs against multiple classical computational tools. The key software package used for classical simulation is an efficient Tensor Network calculational package called Time-Dependent Variational Principle (TDVP), from the Flatiron Institute. This tool has enabled over 1,250 technical publications in the field of quantum materials since its release in 2015.

Q-CTRL acknowledges the potential for future specialized classical algorithms to be built that outperform this tool, and the possibility that major improvements to GPU acceleration for TDVP could speed the classical calculation;  such solutions have remained unavailable to date despite significant research and industry demand.

Accordingly, Q-CTRL claims practical quantum advantage relative to what is possible today, rather than as compared against an unknown theoretical possibility.