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IQM Quantum Computers Oy. IQMX Company Profile - Business description- IQM Quantum Computers Oy is engaged in superconducting quantum computing and provides quantum computing systems and cloud platform access to enterprises, research institutions, high-performance computing centers, and national laboratories. Its offerings include quantum systems based on an open and modular architecture, with operations in Munich, Germany, and deployments across Europe, Asia, and North America. - Contact- Keilaranta 19 Espoo02150 FIN- T: +358 505696439 - Sector- Technology - Stock type- Sensitive - Industry- Software - Infrastructure - Fiscal Year End- Employees Morningstar Investment Ideas Markets | Index | Last price | Change | % Change | |---|---|---|---| | All Ordinaries | 9,048.30 | 74.60 | 0.83% | | CAC 40 | 8,508.07 | 33.21 | 0.39% | | DAX 40 | 25,779.31 | 198.43 | 0.78% | | Dow JONES (US) | 52,900.07 | 594.83 | 1.14% | | FTSE 100 | 10,679.03 | 26.16 | 0.25% | | HKSE | 23,350.03 | 295.00 | 1.28% | | NASDAQ | 25,832.67 | 207.36 | -0.80% | | Nikkei 225 | 69,744.07 | 1,010.92 | 1.47% | | NZX 50 Index | 13,618.42 | 36.23 | 0.27% | | S&P 500 | 7,483.24 | 0.01 | 0.00% | | S&P/ASX 200 | 8,844.40 | 75.10 | 0.86% | | SSE Composite Index | 4,043.64 | 14.74 | 0.37% |
For more than 30 years, the field of trapped-ion quantum computing has known it had a noise problem near chip surfaces — and had no precise way to measure it. Researchers at ETH Zurich published a technique in June 2026 that resolves both issues: a single trapped beryllium ion, suspended and repositioned above a quantum chip with micrometer precision, can now build a fully three-dimensional map of the electromagnetic fields that degrade quantum bits — and do so with sensitivity no previous instrument inside a chip trap has matched. For engineers building the next generation of quantum processors, the result means that a 30-year empirical guessing game about which chip materials produce the least noise can, for the first time, be replaced with direct measurement. The paper, by Tobias Sägesser, Shreyans Jain, and colleagues at the ETH Zurich Institute for Quantum Electronics — published online in Science Advances on June 19, 2026 — establishes a sensitivity record of 10 nanovolts per meter for oscillating electric fields, measured in a single second of wait time. For scale: the electromagnetic field from a mobile phone, measured from several kilometers away, is still roughly 10,000 times stronger than the signals the ETH team can now resolve at micrometer distances from a chip surface. Why Electric Field Noise Kills Quantum Bits Trapped-ion quantum computers store information in the electronic states of individual charged atoms, suspended in carefully designed electromagnetic fields and manipulated with laser pulses. In the early decades of the field, those traps filled entire rooms. Miniaturization has since compressed them onto millimeter-scale chips, bringing ions within a hair's breadth of a solid surface — and directly into the electromagnetic environment that surface creates. That proximity has a severe cost. Electric field noise originating from chip surfaces can jostle a trapped ion's motional
Quantum computing's potential to accelerate complex computations opens a new frontier of technological innovation. Investors have piled into quantum computing stocks in anticipation of the investment opportunities quantum computing could create over the next decade. D-Wave Quantum (QBTS 4.13%), an early-stage quantum computing company that's begun ramping up its commercial operations, has been one of the hottest names in the space. Shares of D-Wave Quantum have traded between $12 and $46 over the past year and currently sit somewhere near the middle at $24 per share. With the business building momentum, is the stock a buy now? Here's why investors may want to hold off for now. The business is building momentum, but it's still early D-Wave Quantum is developing annealing and gate-model quantum computer systems, software, and services for commercial applications. The company hasn't generated much revenue to date, as quantum computers aren't yet reliable enough for everyday commercial applications. The business is just getting started, with trailing-12-month revenue of just $12.4 million. That said, D-Wave Quantum's order backlog took a big leap in the first quarter of 2026. The company sold a computer system to Florida Atlantic University for $20 million. It inked a $10 million agreement with a Fortune 100 customer for cloud-based access to quantum computing, which investors could think of as quantum computing-as-a-service. Every contract D-Wave Quantum wins moves the needle at this stage, when the numbers are this small. As it stands now, analysts estimate that D-Wave Quantum will generate approximately $42.5 million in revenue this fiscal year, followed by $86.1 million the next. Meanwhile, investors must still grapple with a steep valuation Perspective is especially important when talking about a stock with a market cap of $8.4 billion. D-Wave Quantum is trading at roughly 200 times Wall Street's revenue estimates for this year,
| | || A year ago, the quantum-security conversation in policy circles was about persuasion: convincing regulators that “harvest now, decrypt later” was real, and that the threat would not wait for the hardware. That argument is largely won. In June 2026, the United States signed Executive Order 14412, turning years of advisories into dated federal deadlines. The European Union has a coordinated roadmap; China has a decade of state-built quantum infrastructure. The standards are finished. Which surfaces a harder question—and it is the one regulators now actually face: not whether to act, but how to know who is ready. We have migration guides, algorithm catalogues, and executive orders. What we do not have is a governance instrument: a way for a board to ask “how ready are we?”, an auditor to verify the answer, and a regulator to compare answers across licensees. Closing that gap is the next task. The premise no longer needs labouring. In 2021, the NSA stated plainly that “adversaries may be collecting encrypted data now, waiting for the day when quantum computers can decrypt it.” The tactic needs no quantum hardware—only interception, cheap storage, and patience—and it targets data whose value outlives its encryption: subscriber identities, location and billing archives, lawful-intercept material, long-horizon intellectual property. For telecommunications, the calculus is not close. Mosca’s inequality holds that if the years data must stay secret (X) plus the years to migrate (Y) exceed the years to a capable quantum computer (Z), exposure exists now. Telecom data carries confidentiality obligations of a decade or more; enterprise migration realistically takes five to seven years; the prudent horizon sits near 2030—2031. Ten plus five exceeds eight. The migration start date is set by arithmetic, not by quantum optimism. And the threat is targeted, not total. Shor’s algorithm breaks the public-key
New optical centrifuge unlocks the secrets of frictionless superfluids - Date: - July 4, 2026 - Source: - University of British Columbia - Summary: - Physicists have developed a new optical centrifuge that can precisely spin molecules inside a superfluid for the first time. The advance could help unravel some of the biggest mysteries of quantum liquids and reveal how superfluidity breaks down at the atomic scale. - Share: Physicists have developed a new way to control the rotation of molecules inside tiny droplets of liquid helium, marking an important advance in the study of superfluids. By using a specially designed optical centrifuge, the team was able to precisely spin molecules suspended in liquid helium nano-droplets, giving scientists a powerful new tool for exploring these unusual frictionless materials. The achievement represents the first successful demonstration of controlled molecular rotation inside a superfluid. Researchers can now directly adjust both the direction and speed of a molecule's rotation, making it possible to investigate how molecules interact with their quantum surroundings at different rotational frequencies. The work, led by researchers at the University of British Columbia (UBC) in collaboration with the University of Freiburg, was published in Physical Review Letters. "Controlling the rotation of a molecule dissolved in any fluid is a challenge," said Dr. Valery Milner, associate professor with UBC Physics and Astronomy and author on the paper. "Dissolved molecules interact with the atomic or molecular constituents of the fluid, effectively getting bigger and harder to spin up. Imagine making a snowball: It's very easy to move it when it's small, but gets harder and harder as more snow gets attached to it." Understanding Superfluids Superfluids, such as liquid helium cooled to temperatures near absolute zero, are an unusual state of matter that flows without viscosity. Even though they have no internal
Amaravati will soon host one of the first two IBM quantum computers installed in India, with commissioning confirmed for September 2026. The system is intended to bolster Andhra Pradesh’s ambition to become a national quantum technology hub, providing crucial infrastructure for research, startups, and enterprises. Arvind Krishna, Chairman and Chief Executive Officer of IBM, announced the plans, signaling growing confidence in the technology’s near-term potential. “Quantum computers are just two to three years away from delivering significant commercial advantages across sectors such as pharmaceuticals, materials science, financial services, logistics, cybersecurity and advanced AI,” Krishna said, predicting a surprisingly swift path to widespread impact. The installation is expected to place Amaravati at the center of India’s developing quantum technology landscape. The commitment extends beyond hardware provision, aiming to cultivate a comprehensive quantum ecosystem encompassing research institutions, startups, and established enterprises, all benefiting from access to advanced computational capabilities. This is a collaborative effort uniting government, industry, and academia to foster quantum technology development and commercialization. The impending arrival of IBM’s quantum system is anticipated to accelerate India’s progress in tackling complex computational challenges currently beyond the reach of conventional computers; sectors poised to benefit include healthcare, materials science, and financial services, with potential applications ranging from drug discovery to logistics optimization. The project is expected to draw researchers and technology firms to Amaravati, fostering a skilled workforce capable of developing quantum applications for both domestic and international markets; by providing direct access to IBM’s quantum computing platform, the city aims to strengthen India’s standing in the global quantum technology landscape and support sustained research, innovation, and commercial endeavors. The installation signifies a crucial step in bolstering India’s deep technology capabilities and aligns with broader national efforts to cultivate expertise in emerging fields like artificial intelligence and advanced computing. Quantum Computing Applications
A researcher at Lawrence Berkeley National Laboratory has successfully simulated hadronization, the process where quarks bind together to form particles like protons and neutrons, by remotely accessing IBM quantum hardware through the Oak Ridge Leadership Computing Facility’s (OLCF) Quantum Computer User Program (QCUP). Despite physical experiments at facilities like CERN’s Large Hadron Collider providing indirect measurements, the complete steps of hadronization remain elusive, prompting the need for advanced computer simulations. This project lays the groundwork for leveraging quantum computers to perform calculations beyond the reach of even the most powerful classical supercomputers. “In principle, we know the theory that describes hadronization, but we are unable to make predictions using it because the calculations have been too difficult for a classical computer,” said Anthony Ciavarella, the Berkeley Lab research scientist who led the project; on a quantum computer, direct predictions detailing how hadronization occurs may be possible, aiding searches for new physics. IBM QCUP Enables Hadronization Simulations The ability to model the fleeting moments after high-energy particle collisions has improved thanks to a collaboration leveraging IBM quantum hardware. His findings have been published in Physical Review D. The simulation focused on the fundamental mechanism of where “strings” of gluons stretch and ultimately “snap” apart, releasing energy to create new quark-antiquark pairs. Ciavarella utilized 104 of the 156 qubits on IBM’s Heron processor, accessed via QCUP, and employed several techniques to simplify the simulation. These included focusing on heavy quarks, easier to simulate due to their limited spread, and a “scalable circuit concurrent variational quantum solver” co-developed by Ciavarella during his graduate studies. This solver prepared the quantum computer’s qubits in a stable, low-energy quantum vacuum state. “The idea is to optimize these vacuum preparation circuits on a small system size, then do it with slightly bigger systems, and then even bigger
Rapid progress in quantum computing has intensified debate over the long-term security of digital assets, as quantum machines can tackle specific problems at dramatically faster rates. Accordingly, one of the most important questions raised by the advancements in the sector is: Will quantum computers break Bitcoin (BTC)? In theory, a sufficiently advanced quantum computer running Shor’s algorithm, which solves the prime factorization problem in polynomial time, could undermine elliptic curve cryptography (ECC) by deriving private keys from public keys within hours. Last year, experts estimated that such a scenario could become reality within the next decade. Earlier this year, Jefferies eliminated its Bitcoin position due to quantum computing threats in early 2026, showing just how weighty the discussion had become. To assess the situation from another angle, Finbold turned to OpenAI’s latest artificial intelligence (AI) model, ChatGPT-5.5, asking when Bitcoin quantum computing danger could become critical. Can quantum computers break Bitcoin? In answer to the prompt, ChatGPT argued that, based on the current state of quantum superposition technology, the probability of Bitcoin being broken by quantum computers is less than 1%, or virtually nonexistent, this decade, According to the analysis, the probability increases gradually over a two-decade period, with a 5-10% chance of it happening by 2035 and 50-70% by 2045. After that, the probability will become ‘high’ unless Bitcoin upgrades. Elaborating on the figures, the algorithm noted that quantum hardware scaling is proving difficult. Companies have made impressive progress, but moving from a few hundred or a few thousand noisy qubits to the millions of error-corrected physical qubits needed for cryptanalysis is an enormous engineering leap. While recent Glassnode data showed that about 6.04 million BTC, or 30.2% of the total supply, is already at risk if sufficiently powerful quantum computers emerge, ChatGPT noted that a machine that can
Rapid progress in quantum computing has intensified debate over the long-term security of digital assets, as quantum machines can tackle specific problems at dramatically faster rates. Accordingly, one of the most important questions raised by the advancements in the sector is: Will quantum computers break Bitcoin ($BTC)? In theory, a sufficiently advanced quantum computer running Shor’s algorithm, which solves the prime factorization problem in polynomial time, could undermine elliptic curve cryptography (ECC) by deriving private keys from public keys within hours. Last year, experts estimated that such a scenario could become reality within the next decade. Earlier this year, Jefferies eliminated its Bitcoin position due to quantum computing threats in early 2026, showing just how weighty the discussion had become. To assess the situation from another angle, Finbold turned to OpenAI’s latest artificial intelligence (AI) model, ChatGPT-5.5, asking when Bitcoin quantum computing danger could become critical. Can quantum computers break Bitcoin? In answer to the prompt, ChatGPT argued that, based on the current state of quantum superposition technology, the probability of Bitcoin being broken by quantum computers is less than 1%, or virtually nonexistent, this decade, According to the analysis, the probability increases gradually over a two-decade period, with a 5-10% chance of it happening by 2035 and 50-70% by 2045. After that, the probability will become ‘high’ unless Bitcoin upgrades. Elaborating on the figures, the algorithm noted that quantum hardware scaling is proving difficult. Companies have made impressive progress, but moving from a few hundred or a few thousand noisy qubits to the millions of error-corrected physical qubits needed for cryptanalysis is an enormous engineering leap. While recent Glassnode data showed that about 6.04 million $BTC, or 30.2% of the total supply, is already at risk if sufficiently powerful quantum computers emerge, ChatGPT noted that a machine that can
- IQMX share price: currently unavailable. Sorry, we currently don't have enough data to create an insight. - Price changeThe price of IQMX shares has decreased $0.39 since the market last closed. This is a 2.91% drop. - Closed at $13.03.The stock has since dropped $0.13 in after-hours trading. Key terms About IQMX - Market cap: $74.92MA market capitalization up to $300 million places IQMX in the micro-capitalization category. Key terms Smart score Latest IQMX news No recent TipRanks articles are available for IQMX No recent press releases are available for IQMX IQMX Financials - IQMX total_revenue: currently unavailable. Sorry, we currently don't have enough data to create an insight. - IQMX net income: currently unavailable. Sorry, we currently don't have enough data to create an insight. - IQMX earnings per share: currently unavailable. Sorry, we currently don't have enough data to create an insight. Key terms IQMX Forecasts analyst rating - buy - hold - sell 1-year stock price forecast IQMX Competitors - How competitors are chosenIQMX's competitors are included in the Electronic Technology sector and Computer Processing Hardware group - Market cap: $74.92MA market capitalization up to $300 million places IQMX in the micro-capitalization category.
Researchers at Università degli Studi di Pavia and Università di Milano have demonstrated a method to surpass a fundamental limitation in quantum temperature measurement, restoring a scaling of precision previously unattainable with standard approaches. The team reports establishing that applying any temperature-dependent unitary driving to a thermalized probe enhances its ability to measure temperature; essentially, any “shake” to the system improves its sensitivity. This improvement is not incremental, as the researchers restored the quadratic-in-time scaling of the Fisher information. By analyzing a driven spin-1/2 thermometer, they showed resonant modulations can shift the sensitivity peak across arbitrary temperature ranges, overcoming the fixed operating windows of conventional quantum thermometers. Quantum Fisher Information and Temperature Estimation The study establishes that any temperature-dependent unitary driving applied to a thermalized probe enhances its quantum Fisher information. This suggests a broadly applicable method, not limited to specific system designs, and fundamentally alters how temperature can be determined at the quantum level. Researchers at Università degli Studi di Pavia and Università di Milano have interpreted their findings as restoring the quadratic-in-time scaling of the Fisher information and allowing the sensitivity peak to shift across arbitrary temperature ranges. By analyzing a driven spin-1/2 thermometer, they showed resonant modulations can shift the sensitivity peak across arbitrary temperature ranges after benchmarking their results on the thermometer. The quantum Fisher information is a metric representing the maximum precision achievable in estimating a parameter, in this case, temperature, from a given quantum state, and is used as a tool in their analysis. The researchers mathematically express this enhancement with the equation ℱtβ = ℱπ0β + ℐtβ, where ℐtβ ≥ 0 quantifies the positive contribution from the unitary driving. A general conclusion following from this equation is that temperature-dependent unitary drivings enable the shift and reshape of the QFI profile across temperatures, effectively
By Fie Dømler doemler@imada.sdu.dk 13/05/2026 The initiative is part of the project “Implementing TQFTs and TQC on Quantinuum Hardware” and is supported by the Danish e‑Infrastructure Consortium (DeiC) in collaboration with Quantinuum. Taking topological quantum computing to hardware The project focuses on topological quantum computing, an approach that uses structures from topological quantum field theory to achieve greater robustness and error resistance in quantum computations. While these methods are well established theoretically at QM, access to Helios now makes it possible to test them on large‑scale, high‑fidelity quantum hardware. “Our goal is not only to run algorithms, but to understand how topological methods perform under realistic conditions,” says Professor and Director of QM Jørgen Ellegaard Andersen: “This access lets us evaluate both algorithmic performance and hardware behaviour at scales that were previously out of reach.” Key research activities Using Quantinuum’s trapped‑ion systems, QM researchers will: - Run quantum algorithms for computing quantum invariants, including variants of the Aharonov–Jones–Landau algorithm, to probe open conjectures in quantum topology. - Implement and test topological surface codes based on Turaev–Viro theories, aiming to demonstrate universal, error‑corrected quantum computation. - Develop new benchmarking methods for quantum processors using topological invariance. - Explore hybrid quantum–classical approaches, including machine‑learning methods assisted by quantum hardware. These activities are closely integrated with QM’s ongoing research in quantum topology, quantum algorithms, and fault‑tolerant quantum computing. Quantinuum Enables Large‑Scale Experimental Testing Quantinuum’s Helios platform offers a combination of features essential for TQFT‑based implementations, including high gate fidelity, all‑to‑all qubit connectivity, mid‑circuit measurement, and pulse‑level control. These capabilities allow QM researchers to implement complex topological operations efficiently and with reduced overhead. Strengthening Denmark’s quantum ecosystem The initiative contributes to Denmark’s national quantum strategy by providing researchers with dedicated access to world‑class quantum infrastructure. DeiC played a central role in securing access and
Key Points - IonQ has established major commercial partnerships with global cloud providers and a significant revenue base relative to industry peers. - Quantum Computing Inc. focuses on a unique photonics-based architecture and is expanding its manufacturing through recent acquisitions. - As the quantum hardware race intensifies, which of these speculative technology plays is the better fit for your 2026 portfolio? Investors seeking exposure to the next generation of computing face a choice between two distinct hardware philosophies represented by IonQ(NYSE:IONQ) and Quantum Computing Inc.(NASDAQ:QUBT) in this rapidly evolving market. While both companies aim to achieve quantum advantage, they rely on different scientific approaches and business models to capture market share. This comparison examines their fiscal year 2025 performance and 2026 outlook to help you decide which stock offers a more balanced risk-reward profile. The case for IonQ IonQ utilizes a trapped-ion approach to build its systems, selling access to its hardware through major cloud platforms. Within the broader landscape of tech stocks, the company differentiates itself through partnerships with the likes of Amazon and Microsoft. The company is also pursuing inorganic growth, recently moving to acquire SkyWater Technologies to secure its semiconductor supply chain. In its 2025 fiscal year (FY), revenue reached $130.0 million, representing growth of 201.9% compared to the prior year. Despite this rapid top-line expansion, the company reported a net loss of $510.4 million for the period. As of its December 2025 balance sheet, the debt-to-equity ratio, which measures total debt against shareholder equity, was zero, indicating no meaningful debt. The current ratio, a measure of a company's ability to pay short-term obligations with short-term assets, was 15.5x. Free cash flow for the year was negative $299.6 million, which represents cash from operations minus capital expenditures. The case for Quantum Computing Inc. Quantum Computing Inc., which
Europe just put its first quantum computing company on a major American stock exchange. And it did so without leaving home. IQM, a Finnish maker of quantum machines, started trading on Nasdaq this week. The debut was equal parts landmark and reality check. IQM began trading on the Nasdaq Global Select Market on 2 July under the ticker “IQMX,” the company confirmed. It reached the market not through a traditional IPO but by merging with a US shell company. It walks away with a pro forma cash pile of €337 million. The milestone is real. IQM is the first European quantum firm to list on a major US exchange. It says it has sold 23 full-stack quantum computers worldwide, more than any rival. Buyers include Italy’s CINECA, Germany’s Leibniz Supercomputing Centre and the US Department of Energy’s Oak Ridge National Laboratory. A Finnish company that stayed Finnish The more unusual part is what IQM did not do. For years, the playbook for an ambitious European deep-tech firm has been to reincorporate in Delaware, decamp to the US and list there alone. IQM stayed put. Founded in 2018 as an Aalto University spinout, it still keeps two-thirds of its 420 staff in Espoo, near Helsinki. It also has a large base in Munich. IQM is listing on Nasdaq Helsinki the day after its New York debut too. That keeps state fund Tesi and local pension insurers on the share register. BlackRock chipped in before the debut. “IQM’s Nasdaq debut is a landmark for European deep tech,” said Tom Henriksson, an early investor at OpenOcean. It proves, he argued, that European companies can reach serious US capital “without relocating their core R&D or ambition.” A pioneer with real revenue IQM stands out in a field of loss-makers. It reported €31 million in
Investors seeking exposure to the next generation of computing face a choice between two distinct hardware philosophies represented by IonQ (IONQ 4.44%) and Quantum Computing Inc. (QUBT 4.03%) in this rapidly evolving market. While both companies aim to achieve quantum advantage, they rely on different scientific approaches and business models to capture market share. This comparison examines their fiscal year 2025 performance and 2026 outlook to help you decide which stock offers a more balanced risk-reward profile. The case for IonQ IonQ utilizes a trapped-ion approach to build its systems, selling access to its hardware through major cloud platforms. Within the broader landscape of tech stocks, the company differentiates itself through partnerships with the likes of Amazon and Microsoft. The company is also pursuing inorganic growth, recently moving to acquire SkyWater Technologies to secure its semiconductor supply chain. In its 2025 fiscal year (FY), revenue reached $130.0 million, representing growth of 201.9% compared to the prior year. Despite this rapid top-line expansion, the company reported a net loss of $510.4 million for the period. As of its December 2025 balance sheet, the debt-to-equity ratio, which measures total debt against shareholder equity, was zero, indicating no meaningful debt. The current ratio, a measure of a company's ability to pay short-term obligations with short-term assets, was 15.5x. Free cash flow for the year was negative $299.6 million, which represents cash from operations minus capital expenditures. The case for Quantum Computing Inc. Quantum Computing Inc., which refers to itself as QCi, focuses on quantum optics and integrated photonics, providing accessible machines and foundry services. The company relies primarily on Amazon Web Services for the cloud-based delivery of its products to various high-performance computing markets. Recent acquisitions of Luminar Semiconductor and NHanced Semiconductors have expanded its internal production capabilities and technical footprint. During FY
Espoo-based quantum computing company IQM Quantum Computers has become publicly traded, raising €127 million ($146 million) in PIPE financing as part of its move onto the public markets in both the U.S. and Finland. The PIPE financing, a private investment arranged alongside the listing, included participation from Tesi. Additional shareholders at listing include Ilmarinen, Elo, and Varma. “Quantum computing is reaching an inflection point. Around the world, organisations are moving from exploration to implementation, investing in quantum infrastructure and building the capabilities that will define the next generation of computing,” says Jan Goetz, CEO and co-founder of IQM Quantum Computers. “IQM enters the public markets from a position of strength, with leading technology, a growing global customer base, and a clear strategy for scaling the commercial adoption of quantum computing. We are excited to begin this next chapter as a public company.” The former scale-up was founded in 2018 and spun out from Aalto University as a DeepTech company focused on superconducting quantum computers. The company delivers full-stack quantum systems and cloud platform access to enterprises, research institutions, universities, high-performance computing centres, and national laboratories. It also has major operations in Munich and employs more than 400 people across Europe, Asia, and North America. Along with the expansion to the US, trading in IQM’s shares also began today on the Helsinki Stock Exchange, allegedly making the company the first quantum technology company in Europe to go public and the first company to be dual-listed on both the Helsinki Stock Exchange and in the United States. According to the company, the transaction leaves IQM with a pro forma cash position of €337 million. Tesi, also known as Finnish Industry Investment Ltd, has been an investor in and active owner of IQM since 2019 and will continue as an owner following the
Quantum-classical orchestration is the software and control layer that fuses classical computing, the CPUs, GPUs and supercomputers we already run, with quantum processing units inside a single workflow. It matters because a quantum computer on its own does almost nothing useful, since the classical machine prepares the problem, suppresses errors, decodes the results and decides what to send back. This guide is a plain-English explainer of how quantum-classical orchestration actually works, why every real workload is hybrid rather than pure quantum, and what the software stack looks like from the control electronics up to the cloud. A scannable list of the companies building this layer sits near the end, but the heart of the article is the concept itself. 1. The QPU is never alone. Every practical quantum workload is a hybrid one, with classical compute handling preparation, error suppression, decoding and post-processing around a short burst of quantum execution. 2. The loop is the unit of work. Quantum-classical orchestration is built around a repeating loop in which a classical computer sends a circuit, reads the result and decides what to run next, rather than a single one-shot computation. 3. Variational algorithms are the canonical pattern. VQE and QAOA put a classical optimizer in charge and use the quantum processor as a fast evaluator, which is why they are the textbook example of orchestration in action. 4. The stack is layered. Control hardware sits at the bottom, then runtime and middleware, then compilers and synthesis, then cloud access, with networked entanglement at the edge, and different companies own different rungs. 5. Latency decides the architecture. Loose coupling tolerates seconds of network delay, while tight coupling for real-time error correction needs a loop measured in microseconds, and that gap shapes every design choice. 6. Error correction is an orchestration problem. Real-time
IQM Quantum Computers has become the first European quantum computing company to list on a major US stock exchange. Finland’s IQM Quantum Computers began trading on the Nasdaq Global Select Market on Wednesday (July 2) under the ticker symbol IQMX, becoming the first European quantum computing company to list on a major US stock exchange. The listing follows the completion of IQM’s business combination with Real Asset Acquisition Corp (RAAQ), a special purpose acquisition company. The deal leaves IQM with a pro forma cash position of €337m to fund its next phase of growth. Founded in Espoo in 2018 by a group of scientists with the aim of building the best quantum processing units, IQM has since grown into a global provider of full-stack superconducting quantum computers, deploying systems to enterprises, research institutions, supercomputing centres and national laboratories. The company now employs more than 400 people across Europe, Asia and North America. IQM claims to have sold 23 quantum computers worldwide, more than any other quantum manufacturer. Its customers include CINECA in Italy, the Leibniz Supercomputing Center in Germany, and the US Department of Energy’s Oak Ridge National Laboratory. The company also recently secured the first enterprise quantum computer purchase in Japan, with Toyo Corporation acquiring an IQM system. “Quantum computing is reaching an inflection point,” said Jan Goetz, CEO and co-founder of IQM. “Around the world, organisations are moving from exploration to implementation, investing in quantum infrastructure and building the capabilities that will define the next generation of computing. IQM enters the public markets from a position of strength, with leading technology, a growing global customer base, and a clear strategy for scaling the commercial adoption of quantum computing.” Central to IQM’s commercial model is what it calls the Production Quantum approach – full-stack, open-architecture systems that customers own,