#quantinuum

Quantum enters large-scale logical computing: hybrid HPC integration and error correction innovations

Quantinuum News

Quantinuum has announced the transition from experimental quantum hardware to large-scale logical computing with multiple milestones. By achieving “beyond break-even” performance with almost 100 logical qubits and complex hybrid workflows with the world's most powerful supercomputers, the company overcame years-old hurdles.

“Skinny Logic” Breakthrough The latest quantum error correction (QEC) study is the company's biggest achievement. Quantum mechanics researchers have devised a highly effective method for building logical qubits, which are entangled physical qubits that exchange information to shelter it from noise. With the 98-qubit Helios quantum processor, researchers found 64 error-detected and 48 error-corrected logical qubits.

“Skinny Logic” uses high-rate encoding to “cut overhead to the bone.” The “no free lunch” rule of quantum physics states that high-quality logical qubits require a lot of physical qubits. The researchers achieved a world-record 2:1 physical-to-logical ratio for error-corrected qubits by “nesting” super-efficient quantum error-detecting codes, including the famed “iceberg code”.

The logical qubits outperformed the physical ones in every test, typically by a factor of 10 to 100. The business's “holy grail” is “beyond break-even” fidelity, which proves data encoding improves computing reliability over bare hardware.

Representation of Reality in 3D Quantinuum demonstrated the applicability of logical qubits by simulating quantum magnetism on a wide scale. Traditional studies use 1D or 2D models to speed computations, but the Helios processor's “all-to-all” connectivity allowed researchers to mimic 3D material interactions. This was possible due to the trapped-ion design's mobile qubits that can communicate across the CPU.

The group created a 94-logical qubit GHZ state, or “cat” state, with 94.9% fidelity to demonstrate system-wide entanglement. This test shows Helios hardware's ability to sustain complicated entanglement beyond approximately 100 logical units, breaking previous un-encoded marks.

Quantum-HPC Hybrid Quantinuum demonstrated that quantum computers can be integrated into HPC ecosystems beyond pure quantum accomplishments. In conjunction with RIKEN in Japan, the world's most powerful supercomputer, Fugaku, was coupled with the Reimei quantum computer.

For the first time, a thorough scientific methodology was used to study chemical processes in proteins at various structures. Reimei modeled the sophisticated quantum mechanics of the molecule's "active site" while Fugaku computed baseline electronic structure. Modern quantum technologies can improve classical systems for materials and medicinal research via a hybrid strategy.

AI-Powered NVIDIA Integration and Exploration AI-driven algorithm discovery accelerates practical applications. Quantinuum developed quantum algorithms on “the Hive” with Hiverge. The “Hive-ADAPT” method reduced quantum resource consumption by an order of magnitude compared to human-designed state-of-the-art versions.

Performance has improved due to Quantinuum and NVIDIA's cooperation. By adding NVIDIA GPU-based decoders to the Helios control engine, the group boosted logical fidelity by roughly 3%. This integration allows real-time quantum error correction decoding, which is crucial for scaling future systems. The Generative Quantum AI system ADAPT-GQE provided training data for complex compounds like imipramine 234 times faster.

The Future

A new collaborative endeavor is making the search for “quantum advantage” a public, high-stakes relay race in a world where technical discoveries often emerge privately. The Quantum Advantage Tracker, launched recently by luminaries in the field, is the core arena where quantum and classical computing approaches are in a “neck-and-neck” race few predicted this early. According to IBM Quantum researchers Jay Gambetta and Robert Davis, this open-source project is tracking progress and influencing quantum scientific validation.

Describe Quantum Volume.

IBM created Quantum Volume to measure quantum computers' true processing capacity. Unlike qubit counts, this metric considers hardware connections, error rates, and software compiler efficiency to assess performance. Finding the largest square circuit a machine can continuously operate yields an exponential number.

The Heavy Output Generation test ensures a device produces useful results rather than random noise. Despite application-specific workload constraints, it is a key industry benchmark for evaluating quantum computers' computational power. The paper stresses that hardware quality and durability, not scale, drive innovation.

Why Quantum Volume is the New Standard for Supercomputing Power in the Quantum Space Race Early in the quantum revolution, the industry sought qubit count. Tech businesses talked about 50, 72, or 100 qubit systems as if they were the only success factor. But as the field evolves in 2026, experts have found that outstanding performance doesn't always require many qubits.

If qubits are “noisy,” error-prone, or poorly linked, they cannot perform complex instructions. This revelation encouraged the industry to adopt Quantum Volume (QV), a more complete performance measure.

Beyond the Data: Orchestra Comparison

Professionals often utilize music to show why raw qubit figures are misleading. If qubit count matches the number of musicians on stage, a group can perform a difficult symphony without mistakes.

Ten world-class violinists are better than 100 non-players. Quantum volume considers qubit quality, gate fidelity, and coherence time.

Quantum Volume formula

Quantum Volume, a single benchmark figure representing actual capabilities, was introduced by IBM. It is measured using a “square” random quantum circuit with equal qubits (width) and operational steps (depth).

QV = 2k

Where k is the greatest number of qubits that may complete a square circuit, the simple yet effective formula is utilized.

To pass a test, the quantum computer must produce “heavy” outputs with a probability at least two-thirds higher than random guessing. A machine with a k-value of 10 maintaining a 10x10 circuit but failing at 11x11 has a Quantum Volume of 210, or 1,024.

How to Determine High Score?

High Quantum Volume is system-level, not hardware-level. Several aspects must work well together to boost the score:

Gate Fidelity: High error rates quickly impair calculations as the circuit deepens.

Connectivity is how easily qubits can "talk" across the semiconductor. Systems having “all-to-all” connectivity, such trapped-ion systems, perform better because they do not require additional “SWAP gates” that create errors.

Compiler efficiency depends on software stack. Intelligent compilers can enhance hardware performance by optimizing code for fewer steps.

Record and Competition Scene 2026

The quest for the largest Quantum Volume has become a high-stakes “space race” between technologies.

Trapped-ion systems lead this category. The company Quantinuum established a record of over 33.5 million quantum volumes in early 2026. Their H-Series systems, which reached 225 in September 2025, break records.

In the meantime, IBM advances superconducting technology. Their Heron r3 “Pittsburgh” system had 211 (2,048) QV in August 2025. Although easier to grow to huge qubit counts, superconducting devices often have more connectivity difficulties than trapped-ion devices.

Classical Simulation “Wall”

Quantum volume is approaching a fundamental limit despite its utilization. To validate a QV score, a traditional supercomputer must reproduce the circuit to verify the quantum machine's response.

After 50 qubits, ordinary computers cannot keep up with the simulation. The “proof” of scores for massive systems is nearly impossible. Layer Fidelity and CLOPS (Circuit Layer Operations Per Second) are being prioritized for the next generation of 1,000+ qubit CPUs.

The Future of Benchmarking

Although flawed, it uses fake random circuits instead of application workloads. Quantum Volume remains the most reliable indicator of progress in the NISQ era. Engineers are encouraged to build balanced machines rather than huge ones and loud systems are penalized.

The Quantum Decade: A ‘Vibe Shift’ in Fault-Tolerant Computing

The Quantum Computing Revolution

Academics estimated it would take decades to build a quantum computer that could perform exceedingly complex operations. Predicting chemical reactions for novel materials or understanding global communications' complicated encryption techniques are problems. According to Princeton University experimental quantum physicist Nathalie de Leon, the field is experiencing a “vibe shift” in the area. Perhaps in 10 years, high-performance quantum computers will exist.

Rapid improvement over the past two years gives new hope. Sources say teams from academia labs to large technology companies have reduced quantum system errors. Better hardware fabrication and operating practices for these vulnerable devices have achieved this. Computer scientist Dorit Aharonov of the Hebrew University of Jerusalem says we are in a “new era” where quantum computation is more likely and will arrive sooner than expected.

Overcoming Error

This shift is driven by fault-tolerant quantum computing. Quantum computers use qubits, which can be 0 or 1. The quantum spin of an electron, which can point in any direction, illustrates this. Entanglement, when multiple qubits become tightly correlated, increases information processing exponentially but makes the system vulnerable.

Quantum states drift and lose information, and qubit manipulation procedures like gates and measurements make mistakes, slowing development. Four separate teams recently revealed that these issues were resolved, a turning point. Google Quantum AI, Quantinuum, Harvard University with QuEra, and USTC implemented and improved quantum error correction.

One unit of “logical” information is spread across several “physical” qubits in this method. By monitoring physical qubits during a calculation, the machine may detect data degradation and fix it. The 1990s mathematical reasoning showed this was possible if mistakes stayed below a certain level; these four teams' recent performance proves this is possible.

Different Tech Directions

The race is reportedly taking place on multiple technology fronts. Google and USTC use superconducting material loops at slightly above absolute zero to protect electrons. In contrast, Quantinuum uses magnetic alignment of electrons within electromagnetic traps of ions. Meanwhile, QuEra uses light-based “optical tweezers” to manipulate neutral atoms.

These researchers want to reduce "overhead," the number of physical qubits needed to support one logical qubit. Scientists long believed this ratio must approach 1,000:1. Early estimates suggested billions of physical qubits were needed to factor enormous numbers, which was terrifying. However, new advancements are drastically reducing these numbers. Recent research by Google engineer Craig Gidney suggests that elaborate 3D geometric patterns in gate diagrams could cut factoring from 20 million to one million qubits.

The Efficiency Path

The current “name of the game” improves error correction. IBM claims a 100:1 ratio for encoding logical qubits with one-tenth the industry-standard overhead. QuEra is also investigating ways to use neutral atoms' flexibility to move and entangle, which could crack the 100:1 barrier. QuEra founder Mikhail Lukin thinks a gate integrity of 99.9%—known as the “three nines”—will enable this jump.

Experts like Nathalie de Leon research qubit metrology to remove noise. Her team increased qubit lives from 0.1 to 1.68 milliseconds by switching superconducting materials from aluminum to tantalum and employing insulating silicon instead of sapphire. De Leon believes lifetimes of 10 to 15 milliseconds are achievable, but removing one noise source usually reveals another.

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Технологии, IT и образование – обзор событий за неделю (16.01.26)

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– Производитель квантовых компьютеров Quantinuum готовится к IPO

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Quantum Utility Realisation: 2025

Quantinuum News

As 2025 ends, Quantinuum's high-stakes discoveries have transformed quantum computing. After moving past experimental "toys," the company showed throughout the year that quantum technology might outperform supercomputers and be readily integrated into the global AI revolution.

This article covers Quantinuum's historic 2025, from the Helios processor's commercial launch to Quantum Error Correction's breakthrough.

In June 2025, Quantinuum researchers achieved the “last major hurdle” to scalable quantum computing by overcoming the “Magic State” barrier to error correction. A fault-tolerant universal gate set with repeated error correction was demonstrated for the first time.

The innovation used Magic State Distillation. Universal computing requires “non-Clifford” gates, which are notoriously difficult to fix. Clifford gates are easy. By improving magic state fidelity by 10x (7X10-5), Quantinuum showed that their roadmap to a fully fault-tolerant system by 2029 is “de-risked.”

GenQAI quantum generation

Perhaps the year's most extensively covered event was February's Generative Quantum AI framework announcement. Quantinuum improved AI model fidelity by showing that H2 processor data may be used to train models.

Commercial Impact: BMW Group, JPMorganChase, and Amgen employ Helios for financial modelling, material design, and drug development.

The “Hive” Platform: Quantinuum and Hiverge launched “The Hive,” an AI-powered platform that finds novel quantum algorithms using advanced chemistry.

International Growth: Japan, Qatar, Singapore Quantinuum 2025 saw major geopolitical shifts:

Singapore Partnership: Singapore will be the first country outside the US to implement a Helios system by 2026 through a strategic collaboration with the National Quantum Office.

Qatar Joint Venture: Quantinuum and Al Rabban Capital formed a joint venture in May to accelerate quantum technology deployment in the Middle East. A groundbreaking partnership with SoftBank Corp. created the future "Quantum Data Centre".

Valued at $10 Billion

The financial community noticed these technical advances. Honeywell led a $600 million Quantinuum capital raising in September 2025 alongside Fidelity International. The company's worth rose to $10 billion, cementing its position as the integrated quantum industry leader.

Helios: The Most Accurate Quantum Computer Helios, Quantinuum's next trapped-ion quantum computer, debuted in November 2025. Helios, unlike other systems, was developed for commercial use rather than research.

Helios smashed the two-qubit gate fidelity record, exceeding the system-wide “three 9s” (99.9%) threshold.

The Hybrid Engine: Helios' real-time control engine lets developers program quantum processors and GPUs.

Quantinuum created Guppy, a Python-based language, by integrating Helios with the NVIDIA GB200 via NVQLink. This allows hybrid workflows and real-time error correction, previously impossible.

DARPA chooses Quantinuum for Stage B Benchmarking

Engineers' tiny quantum light source boosts scalability 150-fold.

Quantum Nonlinear Optics

Quantum technology advanced when engineers decreased nonlinear optical platforms to 160 nanometres while maintaining efficiency. This discovery tackles the problem of scalable quantum technologies' large qubit sources, which can take up rooms or centimetres.

Second-harmonic generation is 150 times better with the team's design than unpatterned samples. This size reduction and performance enhancement enable fully on-chip quantum photonics.

Enhancing Nonlinear Properties with Metasurfaces

The innovation uses metasurface artificial forms and ultrathin transition metal dichalcogenides (TMDs). Crystalline TMDs can be cut into atom-thick layers. Researchers etched microscopic patterns onto ultrathin TMD crystals to increase their optical characteristics.

By overcoming standard nonlinear crystal limitations, this approach allows nanoscale optical property customisation and control. For quantum technologies and other small-scale applications, the approach improves nonlinearity while maintaining sub-wavelength crystal thickness.

The 150-Fold Boost Science

The key finding is second-harmonic generation improvement. Second-harmonic generation is when two input photons generate a single output photon with twice the frequency. The team increased this technique 150 times over unpatterned samples. This improvement exceeds linear optical optimisation methods.

Patterns were made with molybdenum disulphide flakes. The enhancement is due to the metasurface design, a patterned arrangement of repetitive lines etched onto the flake. The optimum metasurface pattern, a periodic arrangement of lines with alternating widths, was found with theoretical collaborators to maximise TMD nonlinear response. The device is one of the first to combine 2D crystals and metasurfaces, producing spectacular effects.

Simple, Affordable Nanofabrication

This discovery is easier to implement thanks to PhD student Zhi Hao Peng's deceptively easy nanofabrication technology. Creating patterned lines on molybdenum disulphide flakes increases nonlinear effects over previous optimisation methods.

This manufacturing approach has fewer steps and is cheaper and easier to execute than previous patterning methods. Traditional nonlinear crystals are fragile and difficult to create. This eliminates this problem. Tiny gadgets with 3.4 micrometre footprints are exceedingly small. Due to their cost and ease of usage, TMD metasurfaces are intriguing parts for the future sophisticated and integrable quantum photonic systems.

Making On-Chip Quantum Photonics Possible

This technology is needed for “on-chip quantum photonics”. Reducing these nonlinear platforms helps researchers overcome qubit sources' enormous physical footprint. Complex quantum photonic circuits like single-photon sources and detectors can be assembled on a chip to minimise component size and improve performance.

This effort produced telecommunications-range light. This wavelength output helps scale quantum technologies by making small sources easier to integrate with present telecommunications networks.

Quantinuum and NVIDIA Create Hybrid Supercomputing Architecture for Quantum AI and Error Correction Breakthroughs

Quantum NVIDIA

Quantinuum, the largest integrated quantum business, and NVIDIA announced a comprehensive, full-stack cooperation to revolutionise high-performance computing. This partnership aims to provide the foundation for hybrid quantum-classical supercomputing.

Recognising that many critical real-world applications require a smooth interaction between quantum processing units (QPUs) and classical GPUs' massive parallel processing capability, the partnership is a crucial step towards quantum advantage. The alliance prioritises this hybrid approach to build robust architectures that can solve humanity's biggest problems in advanced AI research, materials science, financial modelling, and pharmaceutical development.

Hardware Integration: Helios Meets Grace Blackwell This project relies on the powerful NVIDIA Grace Blackwell platform and Quantinuum's cutting-edge Helios (Powered by Honeywell) trapped-ion quantum computer. Quantinuum Helios, which uses a racetrack design to handle up to 98 atomic ions, is famous for its accuracy and integrity. The companies are launching a new device using quantum technology and NVIDIA's high-performance accelerated computing. This collaboration capacity can be used immediately in on-premise or cloud-based commercial systems for drug development and financing.

This hybrid system's technological feasibility depends on NVIDIA NVQLink. Quantinuum uses this open system design as a baseline for hybrid quantum-classical supercomputing. NVQLink is designed to connect quantum and conventional processing components quickly. The most complex quantum algorithms, which often require thousands of fast feedback loops between the QPU and classical control systems, require coherent interleaving of compute stages, which this technology's low latency allows.

New technology improves quantum fidelity An industry first on quantum error correction (QEC) demonstrated this tight integration. Since quantum systems are noisy and decoherent, scaling to fault-tolerant processing requires error correction. Quantinuum and NVIDIA integrated a GPU-based decoder into the Helios control engine for real-time error correction methods.

With immediate effect, this technical integration increased quantum process logical integrity by over 3%. Helios's already low mistake rate makes a 3% increase notable. The NVIDIA CUDA-Q platform, Quantinuum's Guppy programming language, and NVIDIA GPUs' high-speed computing and parallelism enabled this huge improvement. This proves that classical acceleration enhances fundamental quantum computation precision and scalability, not only workflow management.

Its next-generation software development environment lets customers effortlessly integrate quantum and GPU-accelerated classical processes in a single, efficient workflow. The cooperation covers the whole Quantinuum technology stack. Developers can use NVIDIA CUDA-Q, CUDA-QX, and Quantinuum's native language tools like Guppy to take advantage of the Helios QPU's unique capabilities while simultaneously using well-known, optimised classical toolkits.

Driving Generative Quantum AI's Future Practical AI-quantum computing research is also prioritised by the cooperation. Corporations are increasing efforts through NVIDIA Accelerated Quantum Computing Research Centre (NVAQC). The NVAQC is using Quantinuum Helios and an NVIDIA GB200 NVL72 supercomputer to enable groundbreaking quantum-enhanced AI applications.

The ADAPT-GQE framework is new and groundbreaking. GenQAI, or transformer-based Generative Quantum AI (ADAPT-GQE), synthesises quantum circuits for quantum computers to prepare the ground state of a chemical system. Together with a top pharmaceutical partner, the researchers employed GPU-accelerated methods and NVIDIA CUDA-Q to generate training data for complex chemicals at 234x speedup.

Pharmaceuticals require imipramine, which was successfully studied using this method. Training the transformer on imipramine conformers produced ground state circuits orders of magnitude faster than ADAPT-VQE. The circuits were conducted on Helios after Quantinuum's computational chemistry platform InQuanto created the ground state. This remarkable result accelerates drug discovery, bringing pharmaceutical and materials science research closer to quantum technology.

Quantum Attacks Superconductivity

In addition to the primary collaborative announcements, Quantinuum's Helios can replicate materials science processes that traditional supercomputers couldn't. Helios was used to study the non-equilibrium Fermi-Hubbard model, a promising model for high-temperature superconductors. One of the scientific "holy grails" is creating a material that superconducts at room temperature. Electrical resistance suddenly evaporated at low temperatures in 1911, revealing it.

The Fermi-Hubbard model describes crystal electron flow and interaction. Before Helios, Earth's most powerful supercomputers could only process a few permutations of this model. Helios successfully modelled a 6x6 lattice using 90 qubits (72 system and 18 ancilla) with a unique fermionic encoding. This massive system occupies more than two dimensions in its quantum state. The qubit-based laboratory can perform unlimited state preparation, lengthy dynamical simulation to see entanglement spread, and flexible measurements, which classical computers cannot.

Importantly, Helios can detect “off-diagonal” observables, which analogue quantum simulators cannot measure because they carry the signature of Cooper pairs, the paired electrons that signify superconductivity. Quantinuum measured non-zero superconducting pairing correlations in three model regimes for the first time in quantum computing history.

Helios gives researchers new control and knowledge of light-induced superconductivity by modifying simulation parameters like pulse shape, field intensity, and lattice geometry.

To conclude