IBM and Qedma Demonstrate Quantum Advantage, Modeling Physics Beyond Classical Capabilities Through Trusted Quantum Computation

Rhea-AI Summary

IBM (NYSE: IBM) and Qedma Quantum Computing reported a breakthrough study showing trusted, error-mitigated quantum computation surpassing leading classical simulations, including those run on the Fugaku supercomputer. By combining IBM quantum computers, powered by the Heron processor, with Qedma’s QESEM error reduction software, researchers modeled long-lived quantum dynamics in systems up to 74 qubits.

The work explored a two-dimensional Floquet Ising model and found consistent, long-time oscillatory behavior where multiple classical methods disagreed. Results were cross-validated with RIKEN, BlueQubit, and Quantinuum hardware and uploaded to IBM’s Quantum Advantage Tracker to enable community benchmarking.

Market Context

IBM's recent record includes -2.23% after its July 9 AI announcement and 0.43% after its July 23 acq...

Analysis

IBM's recent record includes -2.23% after its July 9 AI announcement and 0.43% after its July 23 acquisition announcement, showing mixed reactions across news types. Commercial conversion and financial contribution remain key watchpoints for this study.

Key Figures

Quantum system size: 74 qubits Model dimensionality: 2-dimensional

2 metrics

Quantum system size 74 qubits Error-mitigated quantum dynamics study

Model dimensionality 2-dimensional Floquet Ising model

Historical Context

5 past events · Latest: Jul 23 (Positive)

Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
Jul 23	HRL acquisition	Positive	+0.4%	IBM agreed to acquire HRL Laboratories, with closing expected by end of Q3.
Jul 22	Q2 earnings report	Positive	+0.4%	IBM reported Q2 revenue of $17.2 billion and diluted EPS of $2.27.
Jul 15	Power systems launch	Positive	-2.7%	IBM introduced Power platform offerings, including Autonomous Operations and Power S1112 server.
Jul 14	Preliminary Q2 results	Negative	-25.2%	Preliminary Q2 results cited infrastructure weakness and cybersecurity-related delays to large deals.
Jul 09	AI platform upgrade	Positive	-2.2%	IBM upgraded Bob with multi-agent capabilities, analytics, and modernization workflows.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

IBM's recent news reactions were mixed, with positive reactions to the acquisition and earnings announcements but negative reactions to product, AI, and preliminary-results updates.

Key Terms

error mitigation, qubits, floquet ising model, trapped-ion systems

4 terms

error mitigation technical

"together with Qedma's Quantum Error Suppression and Error Mitigation (QESEM) software"

Error mitigation is the process of identifying, reducing and controlling mistakes or inaccurate data in operations, reporting, or analyses so decisions are based on more reliable information. For investors it matters because fewer errors mean financial results, risk estimates and regulatory filings are more trustworthy—like checking a map for wrong directions before starting a trip, it lowers the chance of costly surprises and protects the value of an investment.

qubits technical

"complex and long-lived quantum dynamics in systems of up to 74 qubits"

Qubits are the basic units of information in quantum computing, similar to how traditional computers use bits. Unlike regular bits that are either 0 or 1, qubits can represent both at the same time, allowing quantum computers to process complex problems much faster. This potential for unprecedented speed and power could transform industries, making qubits a key focus for investors interested in cutting-edge technology.

floquet ising model technical

"the subtle, oscillatory dynamics of a two-dimensional Floquet Ising model"

A Floquet Ising model is a mathematical description of many interacting tiny magnets (spins) on a lattice that are driven by a repeating, time‑periodic force. Think of a row of compass needles being nudged rhythmically so they can settle into novel patterns; the model helps scientists study how repeated driving creates new, stable or unusual states out of equilibrium. It matters to investors because insights from these models guide research in quantum materials and quantum computing hardware, areas that can influence future technology and R&D investments.

trapped-ion systems technical

"Independent validation was also performed across quantum hardware platforms, including trapped-ion systems"

Trapped-ion systems use individual charged atoms held in place by electric or magnetic fields and manipulated with laser or microwave pulses to perform extremely precise calculations and store information. Think of them as tiny charged beads suspended and tapped like piano keys to represent and process data. Investors care because this approach is one leading path to powerful quantum computers, potentially creating new industries, major competitive advantages, and long-term technology risks and rewards for hardware, software, and services.

AI-generated analysis. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

Qedma's quantum error reduction software, running on IBM quantum computers and tested against RIKEN and BlueQubit's supercomputing resources, has accurately resolved the dynamics of quantum materials unseen in classical simulation.

YORKTOWN HEIGHTS, N.Y. and TEL AVIV, Israel, July 30, 2026 /PRNewswire/ -- Qedma Quantum Computing, a pioneer in quantum error reduction software and IBM (NYSE: IBM) today announced a breakthrough study demonstrating how trusted, error-mitigated quantum computation is possible, and can be used to explore the physics of materials beyond the capabilities of state-of-the-art classical simulations, including those run on one of the world's most powerful supercomputers. By combining Qedma's advanced error mitigation software, QESEM, with IBM quantum computers, researchers observed complex and long-lived quantum dynamics in systems of up to 74 qubits. This enabled them to reach a paradigm where multiple state-of-the-art classical approaches failed to provide consistent, reliable answers.

The results mark the first time quantum advantage has been achieved with commercially available hardware and software to establish error-mitigated, advanced quantum computers as trusted scientific instruments for exploring physics that could lead to better and ultrafast optoelectronics, light-induced superconductors, and other advanced materials applications.

Exploring Physics at the Classical Frontier

The collaboration investigated the subtle, oscillatory dynamics of a two-dimensional Floquet Ising model, which is a system that physicists use to study how a material's magnetic properties evolve when rhythmically driven by external pulses. Understanding whether such oscillations persist in larger systems has remained an open challenge because the relevant regimes rapidly overwhelm classical computational methods. Using an IBM quantum computer, which is powered by the IBM Quantum Heron processor and available on the cloud, together with Qedma's Quantum Error Suppression and Error Mitigation (QESEM) software, which is also available on the cloud, the team was able to resolve these dynamics with precision.

Beyond Leading Classical Methods

To evaluate the significance of the quantum results, the team worked with RIKEN, Japan's leading national comprehensive research institute, and BlueQubit, a leading developer of large-scale quantum circuit simulation technology, to compare them against state-of-the-art classical simulation approaches that spanned fundamentally different computational strategies. As the system grew in complexity over time, none of the classical approaches could consistently agree at the scale reached by the quantum experiments, even when run on Fugaku, one of the world's most powerful supercomputers. By contrast, the error-mitigated quantum results remained consistent and revealed clear, long-time oscillatory behavior. To enable continued classical benchmarking from the community, the team publicly released the quantum circuits and results to the Quantum Advantage Tracker, prior to the arXiv pre-print released this week.

Building Trust Through Validation

A defining feature of the study is its extensive validation strategy. The team first employed an unbiased error-mitigation protocol against classical calculations wherever such comparisons remained possible, before pushing the protocol to the point where these classical simulations lost accuracy. Then, they benchmarked a more scalable mitigation approach against those trusted results before extending to larger system sizes and longer evolution times. Independent validation was also performed across quantum hardware platforms, including trapped-ion systems from Quantinuum. The consistent behavior observed across technologies provided additional evidence that the measured physics originated from the simulated quantum system, rather than from device-specific or mitigation errors.

"IBM quantum computers have reached a maturity where they can produce solutions that, for the first time, achieve both trust in the solution through extensive testing and outperform the best classical simulation methods. I look forward to seeing future results benchmarked through the Quantum Advantage Tracker as we deepen our understanding of the boundary between quantum and classical computation," said Jay Gambetta, Director of IBM Research and IBM Fellow. "By combining IBM's quantum computers with Qedma's advanced error reduction technology, we are transforming quantum computing into a practical tool to expand the frontier of knowledge."

"For decades, quantum computing has promised discoveries beyond the reach of classical computers. Today, we're beginning to see that promise become reality," said Dr. Asif Sinay, CEO and co-founder of Qedma. "By leveraging Qedma's software to make today's quantum computers significantly more powerful and reliable, we're helping move the quantum computing industry closer to real-world, commercial impact."

"Quantum computers are beginning to open new possibilities for scientific discovery within the high-performance computing environment," said Dr. Mitsuhisa Sato, Division Director of the Quantum-HPC Hybrid Platform Division, RIKEN Center for Computational Science. "This work leveraged RIKEN's leadership in advanced classical simulation and supercomputing, alongside Qedma's error mitigation software on IBM quantum computers, to demonstrate the ability of quantum computing to surpass the capabilities of leading classical methods. It is an important step towards a future where quantum and classical computing work together to advance science."

Qedma's advanced error reduction software, QESEM, available in the Qiskit Functions Catalog on the IBM Quantum Platform, mitigates the impact of noise present in today's quantum computers. Rather than waiting for large-scale, fully fault-tolerant quantum computers, QESEM's patented approach unlocks the ability to execute larger and more complex quantum workloads while producing more accurate results. The software offers various error mitigation methods, including an unbiased approach which provides guaranteed accuracy in extracting reliable results from noisy quantum hardware. It is currently being used by leading enterprises, academic institutions, and research laboratories around the world.

More Announcements of Quantum Advantage Emerge

Today, alongside this milestone from IBM and Qedma, partners from across IBM's ecosystem are announcing demonstrations of quantum advantage. To learn more, visit https://www.ibm.com/quantum/blog/quantum-advantage.

About Qedma Quantum Computing

Qedma is accelerating the path to practical quantum computing by dramatically reducing the impact of hardware errors. Its hardware-agnostic software, QESEM, enables researchers and enterprises to run larger and more complex quantum algorithms while obtaining more accurate and reliable results on today's quantum computers. By overcoming one of the biggest barriers facing the industry, Qedma helps unlock scientific discoveries and enables users to push beyond the limits of current quantum hardware. Qedma was founded by Dr. Asif Sinay together with two prominent scientists: Prof. Dorit Aharonov, who thirty years ago proved that error corrected quantum computation is possible and laid the foundations of quantum fault tolerance, and Prof. Netanel Lindner, a world-renowned theoretical condensed matter physicist known for his work on complex quantum systems. For more information, visit www.qedma.com.

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of governments and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.

Media contacts:

Brittany Forgione
IBM
Brittany.Forgione@ibm.com 

Erin Angelini
IBM
edlehr@us.ibm.com 

View original content to download multimedia:https://www.prnewswire.com/news-releases/ibm-and-qedma-demonstrate-quantum-advantage-modeling-physics-beyond-classical-capabilities-through-trusted-quantum-computation-302838413.html

SOURCE IBM

FAQ

What quantum advantage did IBM (NYSE: IBM) and Qedma demonstrate on July 30, 2026?

IBM and Qedma demonstrated quantum advantage by modeling quantum material dynamics beyond the reach of state-of-the-art classical simulations. According to IBM, error-mitigated quantum runs on Heron-based systems produced consistent, long-lived oscillatory behavior where multiple classical approaches, including those on Fugaku, failed to agree.

How many qubits were used in the IBM and Qedma quantum advantage study with ticker IBM?

The study used IBM quantum computers to simulate systems of up to 74 qubits with Qedma’s QESEM software. According to IBM, these experiments resolved complex, long-lived quantum dynamics in a Floquet Ising model, exceeding scales where classical simulations could provide consistent and reliable answers.

How did IBM and Qedma validate their quantum results against classical supercomputers like Fugaku?

IBM and Qedma benchmarked quantum results against multiple state-of-the-art classical simulation methods, including runs on Fugaku. According to IBM, classical approaches disagreed at higher complexity, while error-mitigated quantum results stayed consistent, and data plus circuits were released via the Quantum Advantage Tracker for community validation.

What is Qedma’s QESEM software used with IBM (IBM) quantum computers?

QESEM is Qedma’s quantum error suppression and mitigation software designed to reduce noise in today’s quantum devices. According to Qedma, it enables larger and more complex quantum workloads with more accurate results using patented, unbiased error-mitigation approaches and is available via the IBM Quantum Platform’s Qiskit Functions Catalog.

How were IBM and Qedma’s quantum advantage findings independently verified across different quantum platforms?

The findings were independently validated across multiple quantum hardware platforms, including trapped-ion systems from Quantinuum. According to IBM, consistent behavior across technologies suggested the observed physics came from the simulated quantum system itself rather than device-specific or mitigation-related errors, strengthening trust in the reported quantum advantage.

What scientific problem did IBM and Qedma address to show quantum advantage for IBM shareholders?

IBM and Qedma studied oscillatory dynamics in a two-dimensional Floquet Ising model, relevant to magnetic behavior in driven materials. According to IBM, understanding these long-lived oscillations at larger scales had overwhelmed classical methods, positioning quantum hardware plus QESEM as a trusted tool for advanced materials research.