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
Jul 4, 2026 · via finbold.com
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
Jul 3, 2026 · via cryptonews.net
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Jul 3, 2026 · via cnn.com
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
Jul 3, 2026 · via quantumzeitgeist.com
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
Jul 3, 2026 · via sdu.dk
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
Jul 3, 2026 · via theglobeandmail.com
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
Jul 3, 2026 · via thenextweb.com
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
Jul 3, 2026 · via fool.com
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
Jul 3, 2026 · via eu-startups.com
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
Jul 3, 2026 · via quantumzeitgeist.com
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,
Jul 3, 2026 · via siliconrepublic.com
International Business Machines (IBM) has announced that Amaravati, Andhra Pradesh, will host one of the first two IBM quantum computers to be installed in India, with commissioning targeted for September 2026. The announcement marks a major milestone in India's quantum technology journey and reinforces Andhra Pradesh's ambition to emerge as the country's leading quantum innovation hub. The IBM Quantum System will provide researchers, startups, academic institutions and enterprises with access to advanced quantum computing infrastructure, enabling research and application development across pharmaceuticals, materials science, financial services, logistics, cybersecurity and Artificial Intelligence (AI). The selection of Amaravati reflects India's growing pool of talent in mathematics, physics and computer science, positioning the country to develop globally competitive quantum computing solutions. The project builds on the Quantum Valley initiative unveiled by the Andhra Pradesh Government to establish India's first integrated quantum ecosystem by bringing together global technology companies, industry, academia and startups. The initiative includes a dedicated Quantum Valley Tech Park, strategic collaborations with technology partners and programmes to accelerate research, talent development and startup incubation in quantum computing, quantum communication and quantum sensing. The IBM quantum computer will serve as a cornerstone of this ecosystem, supporting innovation and the commercial adoption of quantum technologies. As quantum computing moves closer to delivering commercial applications over the next few years, the project is expected to strengthen India's capabilities in advanced computing, foster high-value research and innovation, and reinforce the country's position in the global deep-tech landscape. Disclaimer: This information has been collected through secondary research and IBEF is not responsible for any errors in the same.
Jul 3, 2026 · via ibef.org
“We need elegant theories to predict and explain these particles’ behavior in the next generation of fault-tolerant quantum computers.” Jamir Marino, assistant professor of physics University at Buffalo College of Arts and Sciences BUFFALO, N.Y. — A University at Buffalo physicist has received two U.S. Department of Defense grants totaling $1.1 million to study the quantum dynamics that could help advance neutral-atom quantum computing. Principal investigator Jamir Marino, PhD, assistant professor of physics, uses advanced theoretical models to simulate the behavior of quantum particles. The quantum states of these particles are used to represent information in quantum computers, just as electrical signals created by transistors switching on and off represent information in classical computers. People are also reading… In neutral-atom quantum computers, individual, highly excited Rydberg atoms serve as the basic units of quantum information, or qubits. This field has advanced rapidly over the past five years, growing from laboratory prototypes to processors with more than 1,200 programmable qubits and systems capable of controlling more than 6,000 individual atoms. Researchers have also demonstrated major improvements in accuracy and early forms of quantum error correction, strengthening the case for neutral-atom quantum computing as one of the leading candidates for large-scale quantum computing. Marino’s theoretical work could help pave the way for larger, more powerful neutral-atom quantum computers. “We need elegant theories to predict and explain these particles’ behavior in the next generation of fault-tolerant quantum computers,” Marino says. Marino and his team will use the computing resources at Empire AI to accelerate large-scale simulations of Rydberg-atom systems and test their theoretical models. Empire AI is a more than $500 million statewide research consortium dedicated to advancing AI for the public good. UB is home to Empire AI's supercomputing center, one of the nation's most powerful academic AI computing facilities. Turning quantum
Jul 3, 2026 · via buffalonews.com
Scientists have demonstrated a powerful new way to search for one of physics’ biggest prizes: practical superconductors. An international team of researchers has demonstrated a new way to discover superconductors much faster by combining machine learning with advanced quantum physics. The approach allows scientists to sift through an almost limitless number of possible material combinations and pinpoint the most promising candidates for superconductivity. The breakthrough, led by the SuperC consortium, has already resulted in the discovery of two new superconducting materials. According to Aalto University Professor Päivi Törmä, who leads the collaboration, the method could significantly accelerate the search for new superconductors. Superconductors can carry electricity with zero electrical resistance because of a quantum effect that appears only at extremely low temperatures. They are essential for technologies including quantum computers, MRI and other neuroimaging systems, fusion reactors, and high-speed maglev trains. Finding new superconductors, however, is extraordinarily difficult. Nearly endless combinations of chemical elements are theoretically possible, but only a tiny fraction exhibit superconductivity. Even those that have already been discovered require expensive cooling systems to reach temperatures close to absolute zero before they can function. Researchers around the world are pursuing an even bigger goal: finding a practical superconductor that works at room temperature. “Superconductive materials that can operate at room temperature would forever change the way we consume energy,” explains Törmä. “If such a material could replace regular conductors in applications like computers and data centers, global energy consumption could be slashed and the heat footprint of the ICT sector vastly reduced.” AI and Quantum Physics Join Forces The SuperC consortium was established in 2023 by Professor Törmä and an international group of leading physicists with the goal of using quantum physics to help address climate change. It is the first coordinated global collaboration dedicated to discovering new
Jul 3, 2026 · via scitechdaily.com
Why Error Awareness Matters: A Faster Path to Fault-Tolerant Quantum Computing Article Highlights In his latest post, Trevor takes a deeper look at D-Wave's gate-model roadmap, including our goal of reaching 100 logical qubits capable of more than one million error-corrected operations by 2032. He also explores the technologies underpinning that roadmap—from dual-rail qubits and on-chip cryogenic control to our forthcoming error-aware simulator—and why they matter for building practical, scalable gate-model quantum computers. For much of the quantum computing industry's history, progress has been measured by physical qubit count. But as the field matures, it is increasingly clear that qubit count alone will not determine who delivers commercially viable, fault tolerant gate-model quantum computers first. What really matters is a system's ability to execute operations reliably, efficiently, and at scale. That principle is at the heart of D-Wave's gate-model roadmap. D-Wave is pursuing a path to commercial fault-tolerant quantum computing with a goal of delivering 100 logical qubits capable of successfully performing more than one million operations by 2032. Our approach brings together several core capabilities: superconducting dual-rail qubits with built-in error detection, on-chip cryogenic control technology, deep expertise in scaling superconducting quantum systems, and an enterprise-grade quantum cloud infrastructure. Together, these technologies give D-Wave a differentiated path toward the performance, efficiency, and scalability required to make commercial gate-model quantum practical. To help developers start preparing for that future now, we recently announced our forthcoming gate-model quantum computing simulator. Expected to be the first-of-its-kind built for error-aware programming, the simulator is built around the dual-rail architecture that underpins our gate-model roadmap. It is intended to provide visibility into error-detection data so developers can prototype applications, develop error correction techniques, and build error-aware programming expertise they can carry forward as the roadmap advances. Once available through D-Wave's Leap™ cloud platform, the
Jul 3, 2026 · via dwavequantum.com
IQM Quantum Computers Becomes First European Quantum Computing Company Listed on a Major U.S. Exchange - IQM begins trading on Nasdaq Global Select Market under the ticker symbol “IQMX” - Company enters next phase of growth as a publicly traded leader in full-stack superconducting quantum computing - IQM maintains a strong pro forma cash position of EUR 337 million This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260702960460/en/ IQM Quantum Computers Becomes First European Quantum Computing Company Listed on a Major The company’s American Depositary Shares begin trading today on the Nasdaq Global Select Market under the ticker symbol “IQMX”. The listing marks a major milestone for IQM establishing the company as the first European quantum computing company listed on a major IQM enters the public markets with strong commercial momentum and a rapidly expanding global footprint — having sold 23 quantum computers worldwide, more than any other quantum manufacturer. Central to that leadership is its Production Quantum model: full-stack, open-architecture systems that customers own, operate, and build on. The company has emerged as one of the world’s leading providers of full-stack superconducting quantum computers, delivering complete systems to enterprises, research institutions, universities, supercomputing centers, and national laboratories. “Quantum computing is reaching an inflection point. Around the world, organizations are moving from exploration to implementation, investing in quantum infrastructure and building the capabilities that will define the next generation of computing,” said The listing reflects IQM’s continued commitment to executing its technology roadmap and scaling its operations as a fully vertically integrated quantum computing company. That commitment is already delivering results across the world. IQM´s technology approach focuses on high-performance quantum processors, hardware-efficient control systems, and advanced system engineering. The company recently announced a novel quantum error correction approach that significantly reduces the hardware requirements for fault-tolerant quantum
Jul 3, 2026 · via markets.ft.com
Moody & Co-PIs – $1.15M for Advanced 3D Printing ECE Prof. Galan Moody and four Co-PIs step into the era thanks to a $1.15 million grant from the National Science Foundation (NSF) to purchase cutting-edge 3D printing technology From the Robert Mehrabian College of Engineering News article "Galan Moody, 4 Co-PIs Secure $1.15 Million for Advanced 3D Printing” A new age of 3D printing is here, even though the initial technology for what is also known as additive manufacturing arrived less than twenty years ago. UC Santa Barbara is stepping into the era thanks to a $1.15 million grant from the National Science Foundation (NSF) to purchase the most cutting-edge 3D printing technology available: a 3D rapid nanoprinting system based on two-photon photolithography. The equipment will enhance the capabilities of the already widely recognized UCSB Nanofabrication Facility, (aka the “Nanofab” or “Nanotech”). “The unique capabilities of this system open the door to new approaches to nano- and micro-manufacturing of complex structures and devices that are no longer constrained by geometry nor confined to two-dimensional planes,” the authors write. By securing the grant, lead PI Galan Moody, UCSB professor of electrical and computer engineering, and four co-PIs — Marley Dewey (Bioengineering), Andrew Jayich (Physics), Sumita Pennathur (Mechanical Engineering), and Andrea Young (Physics) — are ensuring that UCSB can take a leadership role in pushing the boundaries of what the new technology can do. Says Moody: “There are just a few universities in the U.S. that have tools with these capabilities.” The tools are needed, the proposal reads, “because we are at the limit of what can be achieved with existing nanofabrication tools, which have enabled wafer-scale fabrication of semiconductors, dielectrics, and metals with resolution down to approximately ten nanometers [nm], but only in a planar [essentially two-dimensional] geometry. Additional complex, time-consuming
Jul 3, 2026 · via ece.ucsb.edu
Announcement made during the 75th Lindau Nobel Laureate Meeting highlights growing collaboration among Qolab, Nobel Laureate Dr. John Martinis and the University of California innovation ecosystem SANTA BARBARA, Calif., July 02, 2026 (GLOBE NEWSWIRE) -- Qolab Inc., a leader in quantum computing hardware, today announced the initial closings of its Series B Preferred Stock financing, which, together with the conversion of an aggregate of $12.6 million in convertible securities and a commitment for an aggregate of $10 million in future convertible securities, represents total funding of $54.2 million for the company. The round was led by UC Investments (the University of California Office of the Chief Investment Officer). The Series B Preferred Stock financing and prior convertible financing included participation from existing financial and strategic semiconductor investors including Wisconsin Alumni Research Foundation (WARF), Octave Ventures, and Phoenix Venture Partners. The announcement was made during the 75th Lindau Nobel Laureate Meeting, where Qolab co-founder and Chief Technology Officer Dr. John Martinis, recipient of the 2025 Nobel Prize in Physics, joined fellow Nobel Laureates, leading scientists and emerging researchers from around the world. The gathering provides a fitting backdrop for Qolab's next phase of growth at the intersection of breakthrough semiconductor manufacturing and quantum innovation. Among other things, the Series B Preferred Stock financing will support Qolab's continued development of scalable superconducting quantum computing technologies, expansion of strategic semiconductor collaborations, and acceleration of the company's target toward fault-tolerant quantum computing. "Quantum computing is entering a new era, where decades of scientific research are beginning to translate into technologies capable of addressing real-world challenges," said Martinis, also a distinguished professor at UC Santa Barbara. "This investment enables Qolab to accelerate development of scalable quantum systems while deepening our collaborations across the University of California ecosystem and the broader scientific community." The investment by
Jul 3, 2026 · via biospace.com
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