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 

SOURCE IBM

AI absorbs routine volume and human experts own every judgment call – cutting administrative cost up to 30% while ensuring patients get expert support exactly when it matters most

SAN FRANCISCO, July 30, 2026 /PRNewswire/ — Today, Infinitus Systems, Inc., healthcare’s agentic communications partner powering more than 350 million healthcare interactions, announced the launch of its AI-first hub solution, an end-to-end model built to replace the industry’s outdated, manual, and high-cost “call-center” hub infrastructure.

Unlike legacy hubs – or approaches that introduce AI into isolated workflows – Infinitus’ AI-first hub solution was designed to unite AI agents and human expertise across the entire patient journey. AI agents handle the routine 24/7 – enrollment, status updates, general inquiries, and more. Human experts engage where judgment or empathy is needed: exceptions, escalations, and anything clinical or ambiguous. Agents provide a warm hand-off with context to human experts so that they can be most effective.

Importantly, the model scales with minimal needs for seasonal headcount, as AI agents handle most of the volume. During a recent annual re-verification cycle, for example, Infinitus absorbed a 144% patient volume surge with zero additional full-time employees hired – proof that AI, not headcount, is what carries peak demand.

This launch comes at a critical time: as specialty therapies grow more complex, pharmaceutical manufacturers are actively seeking alternatives to legacy patient-support models that improve access, accelerate therapy initiation, and give better visibility into the patient journey end to end, without sacrificing the human judgment patients depend on. For manufacturers, the stakes go beyond operations. A patient’s first real interaction with a brand is often the hub experience itself – and a slow, confusing, or impersonal one can undo months of marketing investment before treatment even begins.

“Up to 40% of patients prescribed these life-changing specialty therapies drop off before ever starting treatment, often because slow, manual hub processes compound the cost and prior-auth delays that are already working against them,” said Ankit Jain, CEO and co-founder of Infinitus. “We built our AI-first hub solution to eliminate that bottleneck – but speed only matters if it’s trustworthy. That’s why every case that involves clinical nuance or a judgment call is routed to one of our trained, certified human experts automatically. Patients get their therapies faster, and a person is always the one making the calls that matter.”

Coinciding with this launch, a major pharmaceutical manufacturer’s leading brand’s patient support program has selected Infinitus to manage the end-to-end patient journey through its AI-first, human-backed approach designed to improve scalability, cost-efficiency, and patient experience, without compromising oversight.

The AI-first hub solution can reduce administrative costs by 30% while significantly accelerating patients’ time to treatment. Built on hundreds of millions of healthcare interactions, Infinitus enables patient support programs to deploy AI and go live significantly faster than platforms that weren’t purpose-built for healthcare.

Here’s how it works:

Digital Intake and Form Cleanup: Processes digital prescription forms (EACs) directly into Salesforce, using AI agents to automatically call provider offices to recover missing information.Benefit Verification and Prior Authorization Tracking: Instantly runs insurance checks to determine copay assistance eligibility while continuously tracking prior authorization status.24/7 Patient Support and Adherence: Provides after-hours assistance using pre-approved clinical content, coordinates medication delivery with specialty pharmacies, and provides ongoing adherence reminders. Smart Handoffs: Built-in clinical awareness allows the Infinitus platform to instantly route complex inquiries to human case managers, while summarizing after-hours conversations so teams can take over the next morning. Same-Day Insights: Leverages Infinitus Lens to monitor all human and AI interactions in near-real-time, delivering actionable analytics the same day instead of the standard monthly wait of legacy hubs.

Infinitus has been automating patient support workflows since 2019, and is used by eight of the 10 largest pharmaceutical manufacturers. With this launch, Infinitus is helping manufacturers move the entire patient journey from awareness through adherence onto one AI-first, human-backed solution, rather than layering AI onto the same fragmented hub infrastructure they’ve always had. 

The launch follows the recent releases of Clinical Escalations, a risk detection system that ensures healthcare AI agents appropriately triage patients, regardless of the stated intent of a healthcare interaction and Infinitus Studio, the first no-code AI agent builder for healthcare.

About Infinitus
Infinitus is healthcare’s agentic AI communications partner, enabling intelligent care that reduces patient anxiety, increases speed to treatment, and enables teams to scale impact without stretching resources. Infinitus’ system combines industry-leading safety guardrails with the largest dynamic knowledge graph built on millions of real-world interactions. The company has raised over $100M from investors including Google Ventures, Kleiner Perkins, Andreessen Horowitz, and Coatue. Infinitus was recently named to Fast Company’s World’s Most Innovative Companies and is a trusted solutions partner to 44% of Fortune 50 healthcare companies. Learn more at https://www.infinitus.ai/ 

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SOURCE Infinitus Systems, Inc.

A quantum simulation of heterogeneous matter, designed by Algorithmiq and executed on IBM quantum computers, continues to compete with the world’s leading classical simulation methods eight months after its debut on the Quantum Advantage Tracker.

The work addresses one of quantum computing’s central challenges: how to trust a result when no classical computer can verify it.

Algorithmiq is also releasing a new benchmark for quantum advantage claims, making its best classical method for simulating molecular ground states available to the research community.

YORKTOWN HEIGHTS, N.Y. and MILAN, July 30, 2026 /PRNewswire/ — Today, Algorithmiq and IBM (NYSE: IBM) announced a major milestone in the development of quantum computing: a joint demonstration of quantum advantage with the simulation of a heterogeneous quantum material, achieved with a new framework that establishes trust in quantum computations when classical verification is unavailable.

Eight months after this problem and results were first released through the launch of the Quantum Advantage Tracker, no classical method has been able to reliably produce results across the full problem regime studied in this work. It demonstrates that quantum computers can provide trusted solutions more efficiently, more cheaply, or more accurately than leading classical compute methods — which has long been considered a key milestone in the field.

Studying Information Flow in Heterogenous Quantum Matter

Real materials, including catalysts and battery electrolytes, are defined not by perfect crystalline order but by irregular structures, interfaces, and local variations that strongly influence how information, energy, and particles move through the system. To study these effects, a team led by senior scientist Sergey Filippov in Algorithmiq’s R&D division, which is headed by co-founder & Chief Scientific Officer Guillermo García-Pérez, developed a model of heterogeneous quantum matter in which information propagates through regions with different local properties. The resulting dynamics were deliberately positioned in a regime that is experimentally accessible on today’s quantum hardware but demanding for leading classical simulation techniques.

The model, when executed on an IBM Quantum Heron processor, effectively captured a programmable quantum material whose microscopic couplings could be tuned and reconfigured at will, so that researchers can control where information flows, localizes, or interferes, as it would in a real material.

Solving Quantum Computing’s Trust Problem

Quantum results have traditionally earned trust the same way: by checking them against a classical simulation. To do so, Algorithmiq’s software engineering team collaborated with world-leading classical simulation researchers to explore different simulation approaches. The various classical methods produced conflicting predictions among themselves for the same quantities. In the absence of an exact solution, the challenge was not only to outperform classical computation, but also to determine which result could be trusted.

To address this challenge, the team developed a new framework for trusted quantum computation in the beyond-classical era, laying down a blueprint for scientific discovery. A central part of this strategy was noise manipulation and building a representative model of the underlying noise in the device. Researchers deliberately changed the noise affecting the quantum circuits, including through controlled noise injection, modified gate calibrations, and execution on multiple IBM Quantum processors. This showed that the quantum results remained stable — providing evidence that the quantum computers were producing consistent solutions. With extensively tested noise models, they also demonstrated a path to stand-alone validation using unbiased error mitigation techniques with quantified uncertainty.

Open Sourcing the Benchmark

Algorithmiq is also today releasing monoprop, which makes its best classical method for simulating molecular ground states available to the wider research community — the same techniques it has used to test and challenge quantum advantage claims, including its own. The package is designed to let any research group, quantum or classical, stress-test future advantage claims rather than take them on faith.

Supporting Commentary

Sabrina Maniscalco, co-founder and CEO, Algorithmiq: “For an exponential technology like quantum computing, a verified, openly contested instance of advantage is the inflection point: proof the curve is real, not projected. Demonstrating quantum advantage is an ongoing process, not a single moment, but we believe these results represent our strongest claim published to date and will come to be seen as a major milestone in the evolution of quantum computing.”

Matteo Rossi, co-founder and CTO, Algorithmiq: “This collaboration with IBM has realized an idea first proposed by Richard Feynman in 1982. By simulating quantum matter using a digital quantum processor built from the same physics, we’re able to give researchers a tunable, physically interesting model open to anyone who wants to try to disprove it classically. It is a demanding test case, and it has withstood open challenge for eight months and counting.”

Jay Gambetta, Director of IBM Research and IBM Fellow: “Quantum computers have reached the point at which they can show evidence of the fundamental criteria for advantage: they can outperform leading classical methods, and they can simultaneously produce results that we can trust. I look forward to continued benchmarking of these results by the community on the Quantum Advantage Tracker, and progress towards rigorous error bars for quantum methods. This is a pivotal milestone in the future of quantum computers as we look towards scaling well beyond what could ever be possible with classical computers alone — and further explore new realms of physics, materials, life sciences, and much more.”

More Demonstrations of Quantum Advantage Emerge

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

About Algorithmiq

Algorithmiq programs quantum computers to solve the world’s hardest problems. From medicine to materials, from AI to complex industrial challenges, the company develops the software that makes quantum computers useful for enterprises, today. Headquartered in Milan, Italy, with operations in Finland, the UK, and Ireland, Algorithmiq is led by CEO & and co-founder Dr Sabrina Maniscalco, CSO and co-founder Dr Guillermo García-Pérez, CTO and co-founder Dr Matteo Rossi and Lead Researcher and Co-Founder Dr Boris Sokolov. Algorithmiq has raised over $41 million to date, backed by United Ventures, institutional investor CDP and Inventure VC.

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 a 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

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