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IBM

IBM and Researchers Are Now Closer to Practical Quantum Computers

By Advanced AI EditorJuly 21, 2025No Comments2 Mins Read
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Quantum researchers are getting closer to proving that quantum computers can solve problems much faster than regular computers. Indeed, a team at the University of Southern California, led by Dr. Daniel Lidar, ran a special test known as Simon’s problem using IBM’s (IBM) latest quantum hardware and software. Published in Physical Review X, they showed that as the problem became bigger, the quantum computer solved it much faster than a regular one, up to a certain point. Once the problem reached a size above 58 qubits, the noise from the quantum hardware allowed regular computers to catch up.

Elevate Your Investing Strategy:

Still, this is one of the first real-world examples of a quantum computer demonstrating such a significant speed boost without relying on estimates about the limitations of classical computers. For reference, Simon’s problem is a kind of puzzle where one has to try to figure out a hidden pattern. However, because today’s machines are still noisy, the team had to make adjustments. Indeed, they used IBM’s Qiskit tools to make the circuits shorter, added special pulses to reduce errors while the machines were waiting between steps, and corrected mistakes made when reading results.

With all that in place, the quantum computer solved the puzzle faster until the problem became too large and noise interfered. Even though this puzzle doesn’t have a real-world use, it’s closely related to other quantum problems that do. It’s also proof that today’s quantum computers—especially IBM’s—can already show a clear advantage in certain cases. This matters because earlier examples only showed small improvements. Now, we’re seeing real progress on hardware that’s already available. As a result, it gives researchers more confidence that practical quantum computing isn’t just theory anymore.

What Is the Target Price for IBM?

Turning to Wall Street, analysts have a Moderate Buy consensus rating on IBM stock based on nine Buys, five Holds, and two Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average IBM price target of $287.53 per share implies 1% upside potential.

See more IBM analyst ratings

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