IBM claims a research milestone in quantum computing.

Commercialization of scientific problem-solving through technology is still a ways off.

 IBM researchers assert that quantum computing is beginning to live up to the high expectations placed on it as an essential tool for scientific research, trying to allay concerns that the technology will fall short of expectations.

According to Dario Gil, the company's head of research, ten projects that demonstrate the potential of quantum computing when combined with more traditional methods like supercomputing are set to be unveiled on Monday.

" In an interview, Gil stated, "For the first time, we have large enough and capable enough systems that you can do useful technical and scientific work with it."

IBM and its partners, which include the Los Alamos National Laboratory, the University of California, Berkeley, and the University of Tokyo, produced the papers that were presented on Monday. Their primary areas of concentration are chemistry and materials science problem solving, as well as quantum physics simulation.

Funding for quantum systems has surged recently due to expectations that they would be nearing commercial applications by now. However, indications that business applications are taking longer than anticipated have given rise to concerns about a potential "quantum winter" of declining investor support and funding.

According to IBM's announcements, the technology's primary uses have not yet completely expanded to include the wide range of computing tasks that can be commercialized, as many in the field hope to see.

The transition from scientific value to, say, business value will take some time, according to IBM's vice-president of quantum technologies, Jay Gambetta. "However, I think the line separating commercialization from research is becoming increasingly blurred."

The IBM researchers did not predict when quantum computing would become widely used in commerce, but they did say that recent developments had increased their confidence in the technology's longer-term potential. Rather, they have outlined a 10-year timeline for achieving "error-corrected" systems that are far more powerful.

The properties of subatomic particles, which allow them to exist in multiple states simultaneously, are utilized in quantum computing. This makes it possible for quantum computers to perform numerous calculations at once and possibly find solutions to issues that are beyond the purview of conventional computers. However, the systems' underlying qubits are unstable and can only maintain their quantum states for very brief times, which causes errors, or "noise," to enter the calculations.

With the release of these new scientific applications, IBM claimed that the first, experimental phase of its seven-year development process came to an end. This had involved creating the first algorithms, figuring out how to control the qubits sufficiently to be able to measure their states practically, and connecting enough qubits together to perform computations.

In theory, modeling the behavior of substances at the subatomic level is a good use for quantum computers. That raises the possibility of applications in the research and development of new materials, energy-related issues, and medications.

According to IBM, researchers are also attempting to solve so-called optimization problems—which have the potential to enhance business processes—by utilizing quantum systems to look for correlations in massive amounts of data.

Gil stated that businesses utilizing IBM's quantum systems for R&D are still investing "around the cycles" even though there hasn't been much progress in the technology's commercial applications.

"We still observe a robust industrial base making investments in technology."