What is Helium-3 and could we get it from the moon? One of the most valuable assets owned by Lancaster University is stored in beer kegs. But it's not in one of the student bars. In a carefully locked laboratory rows of metal kegs are arranged on shelves and linked together with spindly copper pipework. The containers aren't loaded with prize beer but rather a gas called helium-3, one of the most expensive materials in the world. A single litre costs roughly $2,000 (£1,500), though the price can fluctuate. "The lab has been going for 50 years or so. Back then, the helium was quite cheap," says Dima Zmeev, senior lecturer. "Our very wise predecessors stocked up." In the near future, more people could be looking to build up such a stockpile. Helium-3 has applications in quantum computing and nuclear fusion. However, the main source of it today is tightly controlled – it comes from nuclear weapons. Specifically, from the decay of tritium, a form of hydrogen, inside those weapons. Around the world, tens of thousands of litres of helium-3 are likely to be produced this way every year, estimates David McCollum, distinguished scientist at Oak Ridge National Laboratory in Tennessee. But future demand could far exceed that supply. Some entrepreneurs and researchers say we need new sources of helium-3. It exists in the ground, though generally at very low concentrations. However, samples of moon dust, or regolith, from the Apollo missions suggest it may be present there at relatively high concentrations. As such, plans are now afoot to recover helium-3 from the moon. Helium-3 is an isotope of helium, defined by the number of neutrons in the atom's nucleus. Helium-4, with one additional neutron, is the comparatively cheap version – a gas that fills children's party balloons. Zmeev uses
Jun 16, 2026 · via bbc.com
June 16, 2026 Six UCalgary researchers appointed new Canada Research Chairs Six University of Calgary researchers have been appointed as new Canada Research Chairs as part of a $9.7-million federal investment to UCalgary announced by the Government of Canada on May 13. “Investing in Canada’s top researchers and professors is an investment in our students today, and our present and future prosperity,” Karim Bardeesy, parliamentary secretary to the Minister of Industry, said in a media release. “Across Canada, these investments are building a strong pipeline of talent equipped to take on tomorrow’s challenges and contribute to a more innovative and inclusive economy.” The new Canada Research Chairs represent a diverse range of expertise and research priorities. “These new Chair appointments reflect the extraordinary talent and ambition of our research community,” says Dr. William Ghali, vice-president (research). “I’m excited to see how their work will push the boundaries of knowledge and deliver real impact in areas that matter deeply to society.” To gain insight into their work and its potential impact, we asked each chairholder one question: “What are you most excited about in your research program?” Dr. Javier Alfaro, PhD, Cumming School of Medicine Canadian Institutes of Health Research Tier 2 Canada Research Chair in Precision Immunotherapy Courtesy of Javier Alfaro “I am most excited about building a multidisciplinary research program at the University of Calgary that uses bioinformatics and artificial intelligence to advance precision immunotherapies for cancer and infectious diseases. This Canada Research Chair provides an opportunity to link expertise across the university, including computational biology, immunology, oncology, engineering, data science, microbiology, and clinical research, to address questions that no single discipline can solve alone. “My program will focus on understanding how the immune system recognizes cancers and infections, why some patients respond to immunotherapy while others do not,
Jun 16, 2026 · via ucalgary.ca
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Jun 15, 2026 · via youtube.com
Earlier this month, JetBlue Airways announced a multi-year extension of its partnership with the Florida Panthers, alongside continued route expansion and higher daily departures from Fort Lauderdale-Hollywood International Airport and West Palm Beach. These growth and branding moves come just as S&P Global cut JetBlue’s credit rating to CCC+ and prominent investor Carl Icahn reduced his stake, sharpening focus on the airline’s financial resilience. With S&P’s downgrade highlighting concerns about JetBlue’s capital structure, we’ll now examine how this development affects its investment narrative. To own JetBlue today, you have to believe its network expansion, loyalty ecosystem and cost initiatives can eventually overcome persistent losses and a stretched balance sheet. The S&P downgrade to CCC+ pulls the near term focus squarely onto liquidity and debt sustainability, while fuel costs and competitive pressure remain central risks. Icahn’s reduced stake adds to the debate around financial resilience but does not by itself change the core thesis or the importance of execution on costs. The extended partnership with the Florida Panthers, combined with accelerated growth out of Fort Lauderdale and West Palm Beach, ties directly into JetBlue’s core catalyst of deepening relevance in key leisure markets. Higher daily departures and added Latin America flying support the idea of capital light growth that could improve unit economics if demand holds up, while the expanded brand presence keeps JetBlue front of mind for South Florida travelers at a time when every incremental passenger matters. Yet while these brand and route wins may appeal to long term holders, investors should still pay close attention to the risks around... Some of the lowest ranked analysts take a far gloomier view than the consensus, even before this news, with projections that include US$11.2 billion of revenue and US$561.9 million of earnings by 2029 only supporting a price target of
Jun 15, 2026 · via simplywall.st
Newswise — With the first practical quantum computers expected to arrive in about two years’ time, global quantum computing leaders are thinking about how these systems should first be deployed for the largest scientific impact. This spring, the Department of Energy’s Pacific Northwest National Laboratory brought together quantum computing leaders for the second annual Quantum Computing for Chemistry workshop, organized by the PNNL Quantum Algorithms and Architecture for Domain Science (QuAADS) initiative. Karol Kowalski, director of QuAADs and an expert in advanced computational chemistry, opened the event with a challenge to the assembled group: identify scalable and adaptive algorithms capable of operating across varying system sizes and qubit counts to solve practical problems. Participants explored how near-term quantum computing and hybrid quantum-classical computing can deliver early demonstrations of utility for solving complex chemistry and materials science problems. Bindu Nair, Associate Director of DOE’s Office of Science Basic Energy Sciences program, addressed the role of DOE in supporting quantum computing and driving its advancement globally. Quoting DOE Undersecretary for Science Dario Gil, she said that “we are at an inflection point in computing and because of that we are going to be able to do science in ways that have never been done before.” “The charge to you,” she added, “is to come up with what the parameters need to be to make a quantum computer useful to this community so that you can demonstrate something useful in quantum chemistry.” DOE has made a large investment in quantum computing through the National Quantum Initiative and its Quantum Centers, she added. Now that it is coming close to paying off, the hard part begins. Up next for quantum chemistry Meeting participants spent two days investigating how and when a quantum calculation could solve complex problems in chemical conversions, materials science, energy storage
Jun 15, 2026 · via newswise.com
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Jun 15, 2026 · via youtube.com
Researchers around the world are racing to develop new quantum-based systems for sensing, communication, computing, and control that have the promise of outperforming traditional systems. Creating stable, measurable, distinguishable quantum states, which would be the heart of any such system, is a daunting task. Quantum states possess unique properties that can be exploited for developing novel information processing systems. Two key properties, stability and distinguishability, are hard to achieve, however. Extracting information from a quantum system depends on the distinguishability of quantum states, an intrinsic property associated with a property known as orthogonality. Nevertheless, no two Gaussian states (a widely studied class of quantum states) are orthogonal, and this yields an unavoidable error when attempting to distinguish them. In addition, present quantum devices tend to remain stable only for a fraction of a second, and require complex protocols to distinguish states. Now, researchers at MIT and the University of Ferrara have found a new approach for creating easily distinguishable states that could help to enable the development of these new quantum-based devices. The new approach is described in a paper published today in the journal Physical Review A, by Moe Z. Win and Peter L. Falb at MIT with Andrea Giani and Andrea Conti at the University of Ferrara. The team found a way of translating between quantum states of light and algebraic varieties (a mathematical structure from abstract algebra), making the analysis more manageable by reducing it to solvable mathematical equations. “Quantum systems can provide performance that is significantly better than classical counterparts,” Win says, “but this doesn’t come for free.” To develop practical devices for producing and detecting different states, “one needs to carefully engineer the quantum states in which they encode information.” Traditional computers typically use different voltages in a solid-state device to encode ones and zeros,
Jun 15, 2026 · via news.mit.edu
A new method for efficiently preparing thermal states is enabling advances in fields from materials science to machine learning. Andrew Wright and colleagues at the Institute of Physics, in collaboration with Chulalongkorn University and Keio University, have developed a technique termed double-bracket thermofield double (DB-TFD) that uses double-bracket quantum algorithms to simulate thermofield double states and realise Gibbs states. The poly DB-TFD algorithm’s complexity scales favourably with inverse temperature, consistent with established techniques and confirmed by numerical simulations. Moreover, the team demonstrates DB-TFD’s potential in quantum Boltzmann machines, achieving improved performance compared with existing variational methods, and providing a strong pathway for thermal state preparation on near-term and early-fault-tolerant quantum computers. Exponential scaling unlocks thermal state preparation for complex quantum systems The poly DB-TFD algorithm now demonstrates a query complexity scaling exponentially with inverse temperature, a substantial improvement over earlier methods limited to polynomial scaling in practical regimes. Validated by numerical simulations, this exponential scaling unlocks the potential to prepare thermal states for larger, more complex systems previously inaccessible to quantum computation. Dr. Alastair Peoples and Professor Andrew Green, alongside Dr. Patrick Draper, employed a technique called double-bracket thermofield double (DB-TFD) to simulate thermofield double states, effectively creating ‘hot’ and ‘cold’ copies of a system to realise Gibbs states, crucial for modelling thermal equilibrium. Thermofield double states are a cornerstone of quantum statistical mechanics, representing a system and its replica in a fictitious Hilbert space, allowing for the elegant formulation of thermal properties. The Gibbs state, describing the probability distribution of a system in thermal equilibrium at a given temperature, is central to understanding macroscopic behaviour from microscopic quantum principles. A polynomial transformation approximating imaginary-time evolution underpins the approach, reducing the computational steps needed for thermal state creation and offering a viable pathway for both near-term and early fault-tolerant quantum
Jun 15, 2026 · via quantumzeitgeist.com
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Jun 15, 2026 · via youtube.com
Oxford physicists just made Schrödingerâs cat even stranger - Date: - June 15, 2026 - Source: - University of Oxford - Summary: - Oxford physicists have created an entirely new type of Schrödingerâs cat-like quantum state using components that are themselves highly quantum in nature. The advance could open new possibilities for more resilient quantum computers and deeper insights into the strange rules that govern the quantum universe. - Share: Researchers at the University of Oxford have created a new type of quantum superposition, a phenomenon often associated with the famous Schrödinger's cat thought experiment. Unlike previous versions, these newly demonstrated states are built from highly nonclassical quantum components. The achievement could help advance quantum computing beyond traditional binary systems, improve sensing technologies, and provide new insights into the foundations of quantum physics. One of the most surprising features of quantum mechanics is that objects can exist in multiple states simultaneously. This concept is commonly illustrated by Schrödinger's cat, a hypothetical cat that is considered both alive and dead until it is observed. While the thought experiment is fictional, scientists routinely create real quantum superpositions in the laboratory. Atoms, light, and even motion can be placed into multiple quantum states at once. The ability to generate and control these states is critical for technologies such as quantum computers and ultra-precise clocks. A familiar example is a quantum bit, or qubit, which can exist in a combination of both 0 and 1 at the same time. However, quantum systems are capable of much more than two-state behavior. Quantum harmonic oscillators, which can occupy many energy levels, offer a far richer set of possibilities. These oscillators describe a wide range of physical systems, including light, vibrations, and the motion of trapped particles. Scientists have used them to create many different kinds of
Jun 15, 2026 · via sciencedaily.com
Google quantum breakthrough sharpens Ethereum threat Google Quantum AI researchers have lowered the estimated number of logical qubits needed to break Ethereum’s account security to about 1,200, down from previous estimates in the tens of thousands. The revised estimate, published in March 2026, has intensified concerns that quantum computing threats to blockchain networks may arrive sooner than previously expected, with Google adopting a 2029 deadline to migrate its own systems. Ethereum is currently the only major blockchain network with a dedicated post-quantum security team, reflecting growing efforts to prepare for advances in quantum hardware. Ethereum’s reliance on the Elliptic Curve Digital Signature Algorithm means a sufficiently powerful quantum computer could potentially derive private keys from publicly exposed wallet addresses and gain access to funds. The Ethereum Foundation established its Post-Quantum Security team in January 2026, launched the $1 million Poseidon Prize research initiative, and is evaluating EIP-8141, which would allow users to adopt alternative signature schemes through account abstraction. The network is targeting full post-quantum readiness by around 2029, while its Kohaku project already enables users to create quantum-resistant smart accounts using the ERC-4337 standard without requiring a hard fork. Although significant engineering challenges remain before quantum computers reach the required scale, Ethereum’s preparations stand in contrast to other major blockchains including Bitcoin and Solana, which face similar cryptographic vulnerabilities but have yet to announce comparable security roadmaps. At the time of reporting, Ethereum price was $1,716.49.
Jun 15, 2026 · via grafa.com
Ethereum eyes 7-cent quantum account protection Ethereum could introduce post-quantum protection for user accounts at a cost of roughly $0.07 per account under a new proposal from Ethereum Foundation Kohaku project lead Nicolas Consigny. Consigny outlined a framework called SPHINCS-, which adapts the SPHINCS+ post-quantum signature standard developed by the National Institute of Standards and Technology to operate more efficiently on Ethereum. The proposal aims to reduce onchain verification costs while avoiding the need for a protocol upgrade, hard fork or specialised precompile, potentially allowing quantum-resistant protections to be deployed sooner than more comprehensive network changes. Consigny described SPHINCS- as an interim solution that could eventually lead to a more advanced system known as leanSPHINCS, which seeks to lower verification costs further through signature aggregation techniques. The initiative is designed to address the long-term threat that quantum computers may pose to Ethereum’s current elliptic curve cryptography, which secures user accounts and transactions across the network. Interest in post-quantum security has grown across the cryptocurrency industry following recent demonstrations of quantum computing capabilities, including research by Giancarlo Lelli, who successfully used a quantum computer to break a 15-bit elliptic curve key. While modern cryptocurrency networks use significantly stronger 256-bit encryption, researchers continue to explore mitigation strategies because a sufficiently powerful quantum computer could theoretically compromise existing cryptographic systems through algorithms such as Shor’s algorithm. According to Glassnode, approximately 1.92 million Bitcoin are considered structurally vulnerable in a future quantum attack scenario, while an additional 4.12 million BTC face operational risks linked to address and key management practices. The proposal highlights growing efforts within both the Ethereum and Bitcoin communities to prepare for future advances in quantum computing long before the technology becomes capable of threatening current blockchain security standards. At the time of reporting, Ethereum price was $1,718.88.
Jun 15, 2026 · via grafa.com
Quobly secures €115M to advance silicon-based quantum computers The French company, bringing semiconductor-grade manufacturing and industrialization to quantum computing, plans to deploy its first commercial quantum computer through the cloud by the end of 2026 under its Alloy product line. Quobly has announced the closing of a EUR115 million Series A financing to accelerate the industrialization of its silicon-based quantum computers and bring its first commercial product to market by the end of 2026, the French quantum computing company said. The round is led by Bpifrance, SEALSQ and STMicroelectronics, with participation from the European Innovation Council (EIC Fund), Blast, ALIAD (Air Liquide Venture Capital) and existing investor Innovacom, bringing together leading industrial, sovereign and deeptech investors. Existing shareholders also include the CEA, CNRS, Quantonation and Supernova Invest. Long-time investor Bpifrance is participating through the Deep Tech 2030 fund, managed on behalf of the French government as part of the France 2030 initiative. This financing will support continued R&D, industrialization efforts and international commercial expansion. Quobly, bringing semiconductor-grade manufacturing and industrialization to quantum computing, plans to deploy its first commercial quantum computer through the cloud by the end of 2026 under its Alloy product line, the company said. “Over the past two years, we have demonstrated that silicon qubits can be developed within semiconductor manufacturing processes and integrated into a system architecture,” said Maud Vinet, CEO and co-founder, Quobly. “With this Series A, we are accelerating the deployment of our first commercial systems and building a quantum computing platform designed to integrate into existing computing infrastructures.” “We are leveraging years of shared expertise in FD-SOI and deep technological collaboration to accelerate the commercialization of Quobly’s products thanks to a 300mm silicon fab environment,” said Laurent Malier, Executive Vice President, Global Technology R&D, STMicroelectronics. “ST’s investment in Quobly further demonstrates our commitment
Jun 15, 2026 · via evertiq.com
With antibiotic resistance on the rise, scientists have been looking for alternative ways to fend off bacterial infections. A novel antibacterial strategy using quantum dots made of graphene could take antibiotics completely out of the equation. Under low-intensity blue light, the quantum dots were able to eliminate over 99.9% of S. aureus and E. coli bacteria, including strains resistant to multiple types of antibiotics. Over the past three decades, very few new antibiotics have been discovered and approved, and most are only slight variations of existing drugs. This has left the world’s population increasingly vulnerable to the rapid rise of antibiotic resistance. “The World Health Organization (WHO) warned about the impending ‘post-antibiotic’ era, where even minor injuries and ordinary bacterial infections may prove fatal,” writes Sedat Nizamoğlu, professor at Koç University in Istanbul. “This phenomenon is a direct consequence of the growing prevalence of antibiotic resistance among bacteria.” Facing this growing crisis, Nizamoğlu and colleagues decided to take a different approach. Instead of searching for new antibiotics, they turned to a quantum-based solution to fight antibiotic-resistant bacteria. Quantum killers Quantum dots are structures so small—just about a few dozen atoms wide—that they are able to trap electrons inside. This allows them to absorb and emit light at very specific wavelengths, making quantum dots popular across a wide range of applications including screen displays, solar panels, and quantum computers. In this case, light emitted by the quantum dots reacts with oxygen to create highly reactive molecules that are toxic to bacteria. Known as reactive oxygen species, these molecules damage the cell wall that protects bacteria and disrupt their antioxidant defenses, making them effective against a broad range of bacteria. While the idea of using quantum dots to kill bacteria is not entirely new, earlier attempts have faced some major limitations. A
Jun 15, 2026 · via advancedsciencenews.com
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Jun 15, 2026 · via news.metal.com
Rigetti Computing (RGTI) is back in focus after signing a non binding letter of intent with the U.S. Commerce Department for up to $100 million in CHIPS Act funding, alongside launching its 108 qubit Cepheus 1 108Q processor on major cloud platforms. See our latest analysis for Rigetti Computing. The stock has been volatile around the CHIPS Act headlines and insider selling, yet the 30 day share price return of 17.54% and very large 3 year total shareholder return suggest momentum has been rebuilding after earlier setbacks this year. If this quantum story has your attention, it is worth seeing what else is moving in the sector by scanning 29 quantum computing stocks With Rigetti shares up 84% over the past year but still trading about 39% below the average analyst price target, you have to ask: Is the recent quantum excitement underappreciated, or is the market already pricing in future growth? Most Popular Narrative: 31.1% Overvalued Rigetti shares last closed at $20.98, while the most followed narrative fair value sits at $16.00, so the valuation debate is front and center. Bull case: Rigetti is more credible today than it was before the Q1 2026 update. Revenue improved meaningfully, the balance sheet remains strong, Cepheus-1-108Q is now commercially available, and the company continues to hit relevant hardware milestones. If technical progress and customer traction continue together, the stock can keep working. Read the complete narrative. Want to see what is baked into that fair value? The narrative leans heavily on rapid revenue expansion, sizable losses narrowing over time, and hardware milestones feeding into bigger contracts. According to HedgeY, the fair value implies investors are weighing a very early stage revenue base of $7.1 million in 2025 against a market cap above $6.0b, with Q1 2026 acting as a proof point
Jun 14, 2026 · via simplywall.st
- United States - / - Semiconductors - / - NasdaqCM:RGTI Rigetti Computing (RGTI) Stock Valuation After CHIPS Act Funding Move And New Quantum Processor Launch Rigetti Computing (RGTI) is back in focus after signing a non binding letter of intent with the U.S. Commerce Department for up to $100 million in CHIPS Act funding, alongside launching its 108 qubit Cepheus 1 108Q processor on major cloud platforms. See our latest analysis for Rigetti Computing. The stock has been volatile around the CHIPS Act headlines and insider selling, yet the 30 day share price return of 17.54% and very large 3 year total shareholder return suggest momentum has been rebuilding after earlier setbacks this year. If this quantum story has your attention, it is worth seeing what else is moving in the sector by scanning 29 quantum computing stocks With Rigetti shares up 84% over the past year but still trading about 39% below the average analyst price target, you have to ask: Is the recent quantum excitement underappreciated, or is the market already pricing in future growth? Most Popular Narrative: 31.1% Overvalued Rigetti shares last closed at $20.98, while the most followed narrative fair value sits at $16.00, so the valuation debate is front and center. Bull case: Rigetti is more credible today than it was before the Q1 2026 update. Revenue improved meaningfully, the balance sheet remains strong, Cepheus-1-108Q is now commercially available, and the company continues to hit relevant hardware milestones. If technical progress and customer traction continue together, the stock can keep working. Want to see what is baked into that fair value? The narrative leans heavily on rapid revenue expansion, sizable losses narrowing over time, and hardware milestones feeding into bigger contracts. According to HedgeY, the fair value implies investors are weighing a very early
Jun 14, 2026 · via simplywall.st
The Nobel laureate who rebuilt quantum mechanics as a sum over every possible history, drew the diagrams that organised particle physics, and first imagined the quantum computer. Richard Feynman is the physicist almost everyone can picture, the bongo-playing, safe-cracking, plain-spoken genius who seemed to enjoy science more than anyone around him. Beneath the showmanship sat one of the most original minds of the twentieth century, a thinker who rebuilt quantum mechanics from the ground up and handed working physicists a set of tools they still cannot do without. His path integral reframed how a quantum particle moves, his diagrams turned forbidding calculations into sketches, and his restless curiosity reached from the smallest particles to the first idea of a quantum computer. What set Richard Feynman apart was not raw cleverness alone, since the field had no shortage of brilliant people. It was an insistence on understanding things his own way, from the foundations up, and a refusal to accept any explanation he could not rebuild for himself. That habit produced a body of work that runs through modern physics like a watermark, and a teaching legacy that still shapes how the subject is learned. The making of a Manhattan prodigy Richard Feynman was born in New York City in 1918 and grew up in Far Rockaway, encouraged by a father who taught him to question the names of things and look for the mechanism underneath. He studied at the Massachusetts Institute of Technology and then at Princeton, where he worked under John Wheeler and began developing the ideas that would define his career. Even as a student he had a reputation for solving problems by inventing his own methods rather than following the textbook. The Second World War pulled him to Los Alamos, where he became one of the youngest
Jun 14, 2026 · via quantumzeitgeist.com
Welcome to this week’s quantum technology digest. The past seven days brought developments across multiple facets of the field, from hardware improvements to software advances and strategic funding decisions. This collection showcases a continued push toward building practical, scalable quantum systems and preparing for a post-quantum world. Several companies reported key technical achievements. Quantinuum demonstrated substantial gains in logical qubit performance, while Xanadu and Rigetti focused on improving chip fabrication and modular qubit design. Simultaneously, Microsoft and IQM are investing in software and error correction techniques to maximize existing and near-term hardware. Australia’s SQC secured significant funding, emphasizing the growing international competition in precision quantum manufacturing. This week also highlighted the practical concerns surrounding quantum’s arrival. NIST proposed steps for transitioning to quantum-resistant security credentials, and reports surfaced detailing Google’s decision to prioritize development speed over substantial government funding. The deployment of Pasqal’s computer in Italy, integrated with a supercomputer, signals an increasing emphasis on hybrid classical-quantum approaches. 1. Quantinuum Demonstrates 800x Improvement in Logical Qubit Performance Quantinuum has demonstrated logical qubits that perform 800 times better than their physical counterparts, a result published in *Nature* in June 2026. This achievement utilized Quantinuum’s commercial hardware, differentiating their approach from research focused on prototype systems. The company also achieved logical qubit teleportation and significant error-correction milestones, supporting the development of customer-ready quantum systems with reduced resource needs. Recent computations using these logical qubits show lower error rates in materials science applications, squeezing 48 logical qubits from 98 physical qubits. 2. Microsoft Quantum Boosts Research in Fault-Tolerant Topological Computing Microsoft Quantum is funding research across both hardware and software with its 2026 Quantum Pioneers Program. The program now includes a dedicated Software Track to support simultaneous development of both areas, essential for building a scalable quantum computer, according to Technical Fellows Matthias
Jun 14, 2026 · via quantumzeitgeist.com
Gothenburg-based Arkeon has secured €594,200 in Seed funding from Chalmers Ventures, Navigare Ventures, and Almi Invest to address a critical bottleneck in scaling superconducting quantum computing: precision manufacturing. The DeepTech startup is developing a post-fabrication adjustment of qubit frequencies, a method designed to fine-tune chips after they are made and avoid costly, full redesigns when minor production variations occur. This process utilizes controlled current pulse-trains through the junction barrier to adjust junction resistance and improve wafer-level yield, ultimately aiming for more stable and reproducible quantum systems. “We are seeing strong interest in this type of solution,” said Peter Hörstedt, CEO and co-founder of Arkeon, noting the increasing need to optimize chips without complete manufacturing overhauls. Arkeon currently has letters of intent from approximately 30 potential customers, signaling early market validation for its approach. Arkeon Technologies Secures €594,200 Seed Funding for Quantum Chip Precision Arkeon Technologies’ recent €594,200 Seed round signals investment in addressing a critical bottleneck in quantum computing: chip precision. This approach differs from traditional methods requiring complete redesigns when minor production inconsistencies arise, potentially saving manufacturers both cost and time. Founded by Peter Hörstedt, Andreas Nylander, and Marcus Rommel, Arkeon tackles the issue of qubit frequency variations that can plague superconducting quantum chips, impacting both accuracy and overall yield. The company’s core innovation lies in its ability to fine-tune these frequencies after the chips are manufactured, creating more stable and reproducible systems. David Storek, Investment Director at Chalmers Ventures, highlighted the company’s promise, stating that the company intends to use the funding to accelerate development, validate its technology with customers, and prepare for international expansion. Post-Fabrication Tuning Adjusts Qubit Frequencies & Improves Yield Beyond achieving higher qubit counts, a significant challenge in scaling superconducting quantum computers lies in manufacturing consistency; even minute variations during chip fabrication can dramatically
Jun 14, 2026 · via quantumzeitgeist.com