Artificial intelligence and high-performance computing have helped electrical utilities modernize how they model, forecast, and manage grid operations. These tools already play a central role in maintaining reliability, balancing supply and demand, and planning new infrastructure. But as electrical grids become more distributed, data-intensive, and renewable-heavy, some of the most complex decision-making problems are becoming harder to manage with existing approaches alone. Utilities are increasingly asked to coordinate variable renewable generation, battery storage, electric vehicle (EV) charging, distributed energy resources, extreme weather scenarios, and shifting demand patterns across vast networks. Classical computing will remain essential to grid operations. In many cases, classical simulations, approximations, and optimization methods are highly effective, even for very large networks. The case for quantum computing is not that classical methods are collapsing. Rather, quantum computing may eventually enhance classical workflows in selected high-value areas where optimization complexity, scenario volume, and constraint density make better accuracy or faster exploration especially valuable. That is why power systems are emerging as one of the most promising application areas for hybrid quantum-classical computing. Where Quantum May Help Most The strongest near-term case for quantum in electrical grids lies in optimization. Many utility challenges require selecting the best, or a sufficiently good, solution from a large number of possible configurations. These include generation dispatch, unit commitment, optimal power flow, network reconfiguration, storage scheduling, EV charging coordination, infrastructure siting, and contingency-rich planning. These problems often involve many interdependent variables: generators, transmission lines, storage assets, loads, voltage limits, weather conditions, reliability constraints, and market rules. Depending on the formulation, some of these optimization problems can become computationally difficult as the number of assets, scenarios, and constraints grows. Today, utilities often manage this complexity with approximations, decomposed models, heuristics, and simplified assumptions. These methods are indispensable and frequently perform well. But they can
Jul 21, 2026 · via powermag.com
Quantinuum is pleased to announce that applications are now open for the Quantinuum SG Grand Challenge 2026, a global innovation challenge designed to bring together researchers, developers, scientists and innovators to explore practical applications of quantum computing. Organized by Quantinuum and supported by Singapore's National Quantum Office and Aqora, the three-month program aims to foster collaboration across academia, industry and the quantum developer community while supporting the continued growth of Singapore's quantum ecosystem. Participants will work in teams to develop solutions across a range of challenge areas, including chemistry and molecular simulation, optimization, AI for quantum systems, quantum error correction, condensed matter and materials science, and open innovation. Throughout the program, participants will have access to mentoring, technical enablement and Quantinuum quantum computing resources. Selected finalist teams will be invited to present their work at the Grand Finale hosted in Singapore before representatives from academia, industry and government. The event will celebrate innovative applications of quantum computing while providing an opportunity for participants to engage with Singapore's growing quantum community. The Quantinuum SG Grand Challenge welcomes participants from around the world. Whether you are an experienced quantum researcher or beginning your quantum computing journey, the program offers an opportunity to collaborate, learn and contribute to the development of practical quantum applications. Applications are now open. Spaces are limited and subject to review and approval. Quantinuum, the world’s largest integrated quantum company, pioneers powerful quantum computers and advanced software solutions. Quantinuum’s technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With over 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents. Quantum computing is all about putting the exotic properties of physics to work. Qubits can exist in two states at once, like the famous cat that is both alive and dead. Qubits
Jul 21, 2026 · via quantinuum.com
Why Quantum Fine-Tuning is the Scalable Answer to AI's Power Crisis AI’s rapid growth is already straining global power grids — and the enterprise bottom line. Future deployments will need to rein in both energy consumption and costs. A potential solution lies in trapped-ion quantum systems, which demonstrate impressive energy efficiencies without compromising accuracy. Traditional metrics to measure AI’s computational efficiency have focused on speed, the number of floating point operations per second (FLOPS). An alternative, the energy-to-solution (ETS) metric, is a more realistic gauge of the true costs of AI infrastructure and deployment. In new research submitted to the IEEE Quantum Week conference, and available as a preprint on arxiv, Knitter et al (2026) of IonQ, along with researchers from QuantumBasel and the Center for Quantum Computing and Quantum Coherence, prioritize the measurement of ETS of IonQ’s trapped-ion hardware over raw theoretical FLOPs. They demonstrate the existence of a crossover point where quantum-driven computations become more energetically favorable than simulations derived from classical computers. While the exact qubit crossover point varies depending on the experimental setup, the very existence of such a crossover point is promising and marks the beginning of sustainable, quantum-boosted enterprise AI infrastructure. This briefing analyzes how quantum fine-tuning, which uses quantum (instead of classical) algorithms to fine-tune pretrained language models, can help address the AI energy consumption problem. By leveraging the native high gate fidelities and all-to-all connectivity of trapped-ion systems, quantum fine-tuning delivers a practical, near-term bridge to quantum utility. AI’s carbon wall problem Training and running large language models (LLMs), a cornerstone of generative AI, soaks large amounts of energy. GPUs and CPUs might have done the job so far, but next-generation workloads can’t sustainably scale on the backs of silicon-only hardware alone and will likely hit a “carbon wall” bottleneck. As a
Jul 21, 2026 · via ionq.com
Scalable quantum computing via individually addressable and dynamically reconfigurable ion traps A new architecture now achieves precise control over barium ions confined in optical tweezers, exceeding the limitations of previous methods reliant on static electric fields. This breakthrough enables manipulation of thousands of ions, a scale previously unattainable with conventional ion traps. The design utilises state-dependent tweezer displacements to generate effective electric dipoles, creating controllable interactions between ions and minimising unwanted entanglement with their motion. This approach facilitates the development of entangling gates robust to temperature fluctuations, a key step towards building scalable and reliable quantum processors. Duke University and the University of Innsbruck scientists have demonstrated this new architecture for quantum computing, utilising barium ions held in optical tweezers and supporting transversal gates essential for suppressing errors and advancing quantum error correction. Employing state-dependent tweezer displacements, they successfully manipulated ions, effectively creating controllable electric dipoles and enabling interactions between individual ions. Analysis reveals these entangling gates exhibit robustness to temperature fluctuations, important for maintaining qubit stability, and support transversal gates, crucial for advanced quantum error correction techniques. However, the current work does not yet detail the scalability required to build a fully functional, fault-tolerant quantum computer with millions of qubits. Generating entanglement via state-dependent dipole manipulation of barium ions State-dependent tweezer displacements form the core of this new architecture, providing a method to precisely manipulate ions within the optical traps. These displacements do not simply move the ions; they generate what scientists term an ‘effective electric dipole’, creating a temporary, controllable positive and negative charge separation within the ion. This is achieved by exciting ions to an auxiliary state, altering their interaction with the light forming the tweezers and thus their position. Specifically, this technique allows for the creation of entangling gates, linking qubits together, by carefully controlling the
Jul 20, 2026 · via quantumzeitgeist.com
Exhibit 99.1 | | | IQM Quantum Computers Plc | | Total number of voting rights and shares | IQM Quantum Computers Plc’s new shares subscribed for with warrants have been registered with the Finnish Trade Register IQM Quantum Computers Plc, Stock Exchange Release, July 16, 2026 at 17:15 (EEST) A total of 577,237 new shares have been subscribed for with IQM Quantum Computers Plc’s (“IQM” or the “Company”) warrants. The warrants were exercised by Kreos Capital VII Aggregator SCSp (“Kreos”) to whom the warrants were issued in connection with a financing arrangement pursuant to a warrant agreement dated December 23, 2025. Under the warrant agreement, the warrants entitled Kreos to subscribe for a maximum of 1,015,511 shares. Kreos exercised all outstanding warrants through a net exercise, whereby instead of paying the aggregate subscription price in cash, Kreos elected to receive a reduced number of shares. As a result, 577,237 new shares were issued to Kreos. The aggregate subscription price of EUR 5,772.37 (EUR 0.01 per share) will be entered in its entirety into the Company’s reserve for invested unrestricted equity. Following this exercise of warrants, no warrants remain outstanding under the warrant agreement. The new shares subscribed for with the warrants have been registered with the Finnish Trade Register today, July 16, 2026. As a result of the registration, the total number of IQM’s shares and votes is 263,039,597. The new shares confer shareholder rights on their holders from the date of registration. The new shares will be admitted to trading on the regulated market of Nasdaq Helsinki Ltd together with the pre-existing shares on or about July 20, 2026. For further information, please contact: Blair Robertson, Vice President, Strategy & Corporate Development Investor Relations Officer Investors@iqm.tech About IQM Quantum Computers IQM Quantum Computers (Nasdaq: IQMX) is a global
Jul 20, 2026 · via stocktitan.net
AWS Quantum Technologies Blog A framework for quantum-classical integration decisions This post was contributed by Dimitar Trenev, Sebastian Stern, Tyler Takeshita, Cedric Lin, Peter Komar, Pooja Rao, Jerome Gonthier, and Elica Kyoseva. As quantum computing matures toward fault tolerance, a pressing question faces the high-performance computing (HPC) community: why is tightly integrating quantum processors to classical supercomputing infrastructure important? Today, algorithm researchers from Amazon Web Services (AWS), Lawrence Berkeley National Laboratory (LBNL), National Aeronautics and Space Administration (NASA), and NVIDIA published a performance model for hybrid quantum-classical workflows that evaluates whether a given hybrid workload is accelerated by low-latency integration of quantum and classical resources, or if standard network connectivity is sufficient. Two levels, two different answers Discussions about quantum-classical connectivity often conflate two fundamentally different concerns: the need for low-level real-time control of quantum hardware, and the need for communication requirements at the application level. Our paper separates them explicitly into two levels. The real-time level primarily refers to the control and calibration tasks as well as quantum error correction (QEC), where classical decoders process error syndromes and apply corrections and calibration tasks needed to keep quantum processors performing correctly. The decoder and control stack must keep pace with the syndrome-extraction cycle and react fast enough that the correction latency does not exceed the logical gate cycle (microseconds for superconducting devices); low-latency coupling here is non-negotiable. The application level is where hybrid algorithms, such as variational solvers and quantum-enhanced sampling, perform the computation by repeatedly exchanging data between a classical host and a quantum processing unit (QPU). Current approaches to hybrid algorithms do not generally rely on classical processing completing within a device-imposed timescale — either the workflow exchanges data only between circuit executions (today’s noisy intermediate-scale quantum, or NISQ, algorithms), or a fault-tolerant logical QPU hides the real-time
Jul 20, 2026 · via aws.amazon.com
The Elements of Innovation Discovered Metal Tech News - July 20, 2026 Quantum computers promise to solve problems that overwhelm even the most powerful conventional supercomputers, but their extraordinary potential rests on something exceptionally fragile – the ability of quantum bits, or qubits, to preserve information long enough to complete the calculations. Unlike the binary bits in conventional computers, qubits can exist in combinations of states and interact through uniquely quantum effects. These qubits, however, are incredibly sensitive to the noise of the macroscopic world we live in – even the nuclear spin of an isotope at the subatomic level can disrupt fragile quantum states and cause information to be lost through a process known as decoherence. The shorter the coherence time, the less opportunity a quantum computer has to perform useful calculations before errors overwhelm the result. Scientists at the U.S. Department of Energy's Oak Ridge National Laboratory and Pacific Northwest National Laboratory have pioneered technologies to produce ultra-enriched silane and germane that are extremely depleted in noise-inducing contaminant isotopes. "This advancement has the potential to increase the operability of quantum computers and will help enable the U.S. to be the undisputed leader in the quantum technology race," said DOE Under Secretary for Science Darío Gil. Silane and germane are the molecular analogs of methane – each has a core element atom surrounded by four hydrogen atoms. In the case of methane, the core atom is carbon – silicon and germanium are the core elements of silane and germane, respectively. Materials scientists use silane and germane to produce ultra-pure silicon and germanium for semiconductors, solar cells, and other electronic components. For quantum applications, the isotopic composition of the silicon or germanium deposited on a device can be as important as its chemical purity. Natural silicon consists primarily of silicon-28,
Jul 20, 2026 · via metaltechnews.com
A real German rail timetable has now been processed with a quantum system, giving the industry a test using railway data rather than a classroom example. IQM Quantum Computers (Nasdaq: IQMX) cooperated with Deutsche Bahn in running 190 train paths in five cities. This scheduling problem offered 98,500 combinations, making the task impossible to check manually. The researchers combined high-performance computing with quantum Computing for the remaining portion of the job. Results were published in a white paper by IQM. This research investigated whether present-day technology can generate a practical railway schedule before fault-tolerant technology becomes available. IQM employed the use of a Quantum Approximate Optimization Algorithm, referred to as QAOA, in phases. The Classical part handled the entire railway problem. While the quantum processor solved specific subproblems within its reach, the results were fed back into the overall scheduling system. The model is also useful in other industries where similar optimization problems exist. They are faced in transport, energy, manufacturing, and distribution, where firms have to choose from various options. Three conclusions were drawn from the trials. First, the model was able to generate valid schedules with existing computer hardware. There was no need for any future computer processor or fault-tolerant computer. This way, organizations can experiment with Hybrid quantum optimization without waiting for new technology. Second, the processing performance increased as the processor managed more data. There was a statistically significant relationship observed by the researchers between the task assigned to the quantum chip and the quality of the result. Increased capabilities of the processors would allow the current software architecture to produce better schedules without modifications. Third, IQM ran the full chain on its own computer. The process began with the scheduling question and ended with a usable final result. No major stage remained limited to simulation.
Jul 20, 2026 · via bitget.com
Over the past decade, quantum computing has moved from theoretical concepts and experimental devices to scientifically useful machines integrated with today’s high-performance computing (HPC). This progress is significant considering the first theories of quantum mechanics were developed 100 years ago. IBM Fellow and Turing award winner Charles H. Bennett developed his quantum information theory in 1970. Nobel laureate Richard Feynman suggested in 1981 that if we wanted to simulate nature, we would need a quantum computer. As quantum computing matures and enterprises move from experimentation to real-world use cases, the question is no longer whether quantum computing will matter. Instead, it is how quickly it can deliver an advantage over classical compute. For this reason, IBM Ventures invests in startups developing solutions across the stack. From algorithm development to error-mitigation and suppression software, these solutions help turn technical breakthroughs into scalable, enterprise-ready capabilities that complement our industry-leading quantum computing efforts overall. Stay up to date on the most important—and intriguing—industry trends on AI, automation, data and beyond with the Think newsletter. See the IBM Privacy Statement. In 2016, IBM put the first quantum computer on the cloud, opening access to an entirely new computational paradigm for everyone. It enabled students, researchers and developers as well as domain experts and enterprises around the world to begin exploring quantum computing directly. Since then, IBM has built the most advanced and widely accessible quantum computing platform available today. Over the past decade, it has deployed more than 90 quantum computers for the world’s largest user ecosystem, including more than 340 organizations in the IBM Quantum® Network. IBM Ventures extends that commitment by backing founders who develop the software, tools and applications that advance the usefulness of quantum computers in real-world environments. IBM operates the world’s most advanced quantum platform, but delivering on the
Jul 20, 2026 · via ibm.com
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Jul 20, 2026 · via youtube.com
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Jul 20, 2026 · via youtube.com
A live governance fight is playing out in the Bitcoin community over how — and whether — to defend the network against future quantum computers. A proposal called BIP-361 would eventually freeze coins in wallets that don't upgrade to quantum-resistant addresses, and it has split developers, miners and prominent holders including Strategy's Michael Saylor. Here's what the debate is actually about, how real the quantum threat is today, and what it means for anyone holding Bitcoin. Bitcoin's security relies on elliptic-curve cryptography (ECDSA), which today's computers cannot break in any practical timeframe. The concern is that a sufficiently powerful quantum computer — a machine that uses quantum mechanics rather than classical bits to perform certain calculations far faster — could one day derive a private key from a public one, potentially exposing coins held in older address types. In March 2026, Google's Quantum AI team published research suggesting elliptic-curve cryptography could be broken with fewer resources than previously thought — as low as roughly 1,200-1,450 logical qubits, rather than earlier estimates in the tens of millions of physical qubits (CoinDesk, The Protocol, 1 April 2026). But Google's own Willow chip has only around 105 qubits, and a company spokesperson said plainly that “the Willow chip is incapable of breaking modern cryptography” (Cryptopolitan). Google has set 2029 as its own internal target for migrating its authentication services to post-quantum cryptography — a planning deadline, not a claim that a Bitcoin-cracking machine will exist by then (CryptoRank.io). A Google-commissioned study estimated around 6.9 million BTC currently sit in address types that would be vulnerable if a cryptographically relevant quantum computer existed today. Estimates for when such a machine might exist vary widely: IBM targets 200 logical qubits by 2029 with its Starling system, while Blockstream chief executive Adam Back has argued the
Jul 20, 2026 · via ig.com
Quantum computers capable of breaking RSA and elliptic-curve encryption do not exist yet. But encrypted traffic crossing the internet right now is already being captured and stored by well-resourced adversaries who plan to decrypt it later, once a large enough quantum computer exists. Security teams call this “harvest now, decrypt later,” and it is the reason post-quantum cryptography went from a research topic to a deployment checklist item in 2026. NIST finalized its first three post-quantum standards, FIPS 203, FIPS 204 and FIPS 205, in August 2024. OpenSSL answered with native support in version 3.5, shipped as a long-term-support release in April 2025. This tutorial walks through migrating a real TLS server to hybrid post-quantum key exchange using OpenSSL 3.5, from checking your current version through to a production rollout checklist. You will generate ML-KEM key pairs, test a hybrid handshake, sign certificates with ML-DSA, deploy the configuration in nginx, and see where the migration commonly breaks. Thirteen steps, roughly 75 minutes if you are working on a spare Linux box or a VM. Don't miss new tech stories on Google Add Tech Insider once in the Google app and our stories appear in your news suggestions. Why Post-Quantum Cryptography Migration Cannot Wait The math behind RSA and elliptic-curve Diffie-Hellman relies on problems that are hard for classical computers but not hard for a sufficiently large quantum computer running Shor’s algorithm. Nobody has built that machine yet, and estimates for when one might arrive still range from the early 2030s to well beyond. That uncertainty is exactly the problem. Data encrypted today with classical algorithms can be recorded now and decrypted later, so anything with a shelf life past that window, health records, source code, government files, trade secrets, is already exposed to a future key. NIST finalized FIPS 203,
Jul 20, 2026 · via tech-insider.org
An ordinary laptop solved a problem thought to require a quantum computer A personal laptop helped solve a quantum physics problem once claimed to be beyond the reach of classical computers. - Date: - July 20, 2026 - Source: - Simons Foundation - Summary: - A quantum problem once described as impossible for classical computers has now been solved using relatively modest hardware. Researchers used tensor networks to compress the overwhelming wave function created by hundreds of entangled qubits, allowing some calculations to run on a laptop. Their results matched both theoretical predictions and simulations performed with a quantum computer. The method could open new paths for exploring quantum dynamics and materials. - Share: Physicists have used an ordinary computer, advanced mathematics, and specialized software to solve a difficult quantum physics problem that had been described as beyond the reach of classical machines. The work was carried out by researchers at the Center for Computational Quantum Physics (CCQ) at the Simons Foundation's Flatiron Institute, together with collaborators at Boston University. Their method proved efficient enough for some of the calculations to run on a personal laptop. By extracting more computing power from conventional hardware, the approach could expand the range of quantum dynamics problems scientists can study. It may also offer a useful strategy for optimization problems in which researchers must identify the best answer among many possible solutions. The findings were published in the journal Science. Simulating Hundreds of Interacting Qubits The challenge involved modeling hundreds of interacting 'qubits,' the quantum counterparts of the bits used by traditional computers. The qubits were arranged in square, cubic, or diamond shaped lattices. A conventional bit stores either a 0 or a 1. A qubit, however, can exist in a superposition of multiple states. This feature gives quantum systems their unusual capabilities,
Jul 20, 2026 · via sciencedaily.com
SYRACUSE, N.Y. - BosonQ Psi Federal LLC (BQP), of Syracuse, N.Y., has received a SpaceWERX Small Business Innovation Research (SBIR) award to develop a quantum-inspired artificial intelligence application designed to improve space domain awareness. The company did not disclose the value of the award. The project will focus on developing and validating a Physics-Constrained Quantum-Assisted Machine Learning (PC-QAML) software application intended to improve the identification and classification of unknown objects and behaviors in Earth’s orbital environment. Space domain awareness organizations monitor thousands of objects in orbit, including operational satellites, debris, and other objects that may require additional analysis. BosonQ Psi Federal says its technology is designed to address challenges associated with uncorrelated tracks, which are detections that cannot immediately be matched to known objects. Related: Researchers eye quantum, photonic, and bio/organic integrated circuits for next-gen transistor technology Physics meets quantum The company says its PC-QAML approach combines physics-based modeling with quantum-inspired computational techniques to reduce the computational requirements of artificial intelligence models while maintaining accuracy. The technology is designed for deployment on edge computing platforms where processing capability, power consumption, and communications availability may be constrained. According to BosonQ Psi Federal, its approach reduces the size of AI models from approximately 14 million parameters to about 2,000 parameters while maintaining greater than 99% classification accuracy. The company also reports up to a tenfold reduction in inference latency and approximately 90% lower power consumption compared with conventional machine learning approaches. The company says the technology has previously been demonstrated on an NVIDIA Jetson Nano edge computing platform at the Space Domain Awareness TAP Lab, where it was evaluated for orbital separation detection during the 2025 SDA Mini-Accelerator. BosonQ Psi Federal identifies PC-QAML as a candidate technology for future uncorrelated track classification and Threat Simulation Catalog integration. BosonQ Psi Federal develops software
Jul 20, 2026 · via militaryaerospace.com
The U.S. Department of Energy's (DOE) Office of Isotope R&D and Production (IRP), within the Office of Science, today announced a major, multi-laboratory breakthrough in domestic stable isotope enrichment and production capabilities. Through a collaborative effort between Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL), the U.S. has developed pioneering technologies to produce ultra-enriched silane (SiH4) and germane (GeH4) that are extremely depleted in noise-inducing contaminant isotopes. "This advancement has the potential to increase the operability of quantum computers and will help enable the U.S. to be the undisputed leader in the quantum technology race," said Darío Gil, DOE Under Secretary for Science. "This is our generation's space race, and with this breakthrough, we aren't just competing – we are setting the pace." These new materials are at least 100x more depleted of isotopic noise than any commercially available material worldwide. Specifically, the ORNL and PNNL technologies reduce the concentrations of the containment isotopes Ge-73 and Si-29 to below 1 part per million (ppm) in germane and silane, respectively. Additionally, Si-28 purity reaches 99.9999% in silane. This milestone is key to increasing the operability and coherence time of quantum computers, establishing a resilient domestic supply chain and directly supporting the goals of the 2025 Executive Order: Launching the Genesis Mission. "For years, the promise of quantum supercomputing has been held back by the microscopic noise of the physical world," said Christopher Landers, Director of IRP. "Today, we have silenced that noise. By achieving isotope purities never before seen on Earth, we are hand-delivering the foundation for the world's most stable quantum computers right here in America. This isn't just an incremental step; it is the spark to ignite the next technological revolution." Breakthrough Germanium and Silicon Enrichment Technologies at ORNL and PNNL Since the decommissioning of the
Jul 20, 2026 · via azoquantum.com
MUNICH--(BUSINESS WIRE)--Jul 20, 2026-- IQM Quantum Computers (Nasdaq: IQMX), a global leader in full-stack superconducting quantum computers, today published the results of a research collaboration with Deutsche Bahn, Europe’s largest rail operator, exploring how quantum computing can improve railway scheduling. kAm%9:D AC6DD C6=62D6 762EFC6D >F=E:>65:2] ':6H E96 7F== C6=62D6 96C6i k2 9C67lQ9EEADi^^HHH]3FD:?6DDH:C6]4@>^?6HD^9@>6^a_ae_f`h`fadha^6?^Q C6=lQ?@7@==@HQm9EEADi^^HHH]3FD:?6DDH:C6]4@>^?6HD^9@>6^a_ae_f`h`fadha^6?^k^2mk^Am kAmx"|VD H9:E6A2A6C @? 9J3C:5 BF2?EF> @AE:>:K2E:@? 7@C C2:=H2J D4965F=:?8[ 56G6=@A65 H:E9 s6FED496 q29?]k^Am kAm&D:?8 2 C62= @A6C2E:@?2= 52E2D6E 7C@> s6FED496 q29?[ 2 D4965F=6 @7 `h_ EC:AD 24C@DD 7:G6 v6C>2? 4:E:6D EC2?D=2E:?8 :?E@ C@F89=J hg[d__ A@DD:3=6 4J4=6D[ E96 EH@ @C82?:K2E:@?D 56G6=@A65 2?5 E6DE65 2 9J3C:5 BF2?EF>\4=2DD:42= 2=8@C:E9> 56D:8?65 7@C 6?E6CAC:D6\D42=6 @AE:>:K2E:@? AC@3=6>D]k^Am kAmpD 56E2:=65 :? 2 AF3=:D965 H9:E6A2A6C k2 9C67lQ9EEADi^^4ED]3FD:?6DDH:C6]4@>^4E^r%n:5lD>2CE=:?<U2>AjFC=l9EEADTbpTauTau:B>]E649TauHA\4@?E6?ETauFA=@25DTaua_aeTau_fTaux"|\sq\#2:=H2J~AE:>:K2E:@?\(9:E6A2A6C]A57U2>Aj6D966Eldcdfaag_U2>Aj?6HD:E6>:5la_ae_f`h`fadhaU2>Aj=2?l6?\&$U2>Aj2?49@Cl96C6U2>Aj:?56Il`U2>Aj>5dld_a`3`ah3bf_ahcegg7dcaegg6b5f334Q C6=lQ?@7@==@HQ D92A6lQC64EQm96C6k^2m[ E96 x"| E62> 2AA=:65 E96 "F2?EF> pAAC@I:>2E6 ~AE:>:K2E:@? p=8@C:E9> W"p~pX :? >2?28623=6 DE286D[ H:E9 E96 BF2?EF> 4@>A@?6?E D@=G:?8 D>2==6C DF3AC@3=6>D H:E9:? 2 4=2DD:42= 7C2>6H@C< E92E >2?286D E96 AC@3=6> 2E 7F== D42=6] %96 2C49:E64EFC6 :D 3F:=E E@ 86?6C2=:K6i E96 D2>6 2AAC@249 42? 36 2AA=:65 E@ 4@>A2C23=6 @AE:>:K2E:@? 492==6?86D :? =@8:DE:4D[ 6?6C8J[ >2?F724EFC:?8 2?5 @E96C D64E@CD]k^Am kAm%9C66 C6DF=ED DE2?5 @FEik^Am kAmk6>mxE H@C<D @? E@52J’D 92C5H2C6]k^6>m %96 2AAC@249 56=:G6C65 762D:3=6[ 8@@5\BF2=:EJ D@=FE:@?D H:E9@FE C6BF:C:?8 92C5H2C6 E92E 5@6D ?@E J6E 6I:DE] t?E6CAC:D6D 42? 25@AE E9:D >@56= ?@H C2E96C E92? H2:E:?8 7@C 72F=E\E@=6C2?E DJDE6>D]k^Am kAmk6>mxE :>AC@G6D 2FE@>2E:42==J 2D 92C5H2C6 :>AC@G6D]k^6>m %6DE:?8 D9@H65 2 DE2E:DE:42==J D:8?:7:42?E C6=2E:@?D9:A 36EH66? E96 D:K6 @7 E96 DF3AC@3=6> E96 BF2?EF> 4@>A@?6?E 4@F=5 92?5=6 2?5 E96 BF2=:EJ @7 E96 D@=FE:@?] pD BF2?EF> AC@46DD@CD D42=6[ E96 D2>6 7C2>6H@C< :D 6IA64E65 E@ 56=:G6C 36EE6C @FE4@>6D H:E9@FE C656D:8?]k^Am kAmk6>mxE C2? 6?5 E@ 6?5 @? x"| 92C5H2C6]k^6>m %96 7F== A:A6=:?6 H2D 6I64FE65 @? 2? x"| BF2?EF> 4@>AFE6C[ 7C@> AC@3=6> 7@C>F=2E:@? E9C@F89 E@ 2 FD23=6 C6DF=E[ 6DE23=:D9:?8 2 32D6=:?6 E92E 6?E6CAC:D6D 2?5 A2CE?6CD 42? 3F:=5 @?]k^Am kAm“%9:D 4@==23@C2E:@? D9@HD E92E BF2?EF> 4@>AFE:?8 :D 2=C625J 42A23=6 @7 E24<=:?8 E96 <:?5 @7 =2C86\D42=6[ C62=\H@C=5 @AE:>:K2E:@?
Jul 20, 2026 · via eagletribune.com
- United States - / - Hospitality - / - NYSE:BROS How Investors May Respond To Dutch Bros (BROS) Limited-Time Galaxy Drinks Launch Across 1,177 Locations - Earlier this month, Dutch Bros Coffee announced that its new Cosmic Cookie Dough, Stardust and Supernova drinks are now available across more than 1,177 locations in the US, while supplies last. - This limited-time, galaxy-themed lineup highlights Dutch Bros’ emphasis on inventive specialty beverages that can refresh customer interest and support menu mix differentiation. - We’ll now explore how this limited-time, galaxy-themed beverage lineup interacts with Dutch Bros’ expansion- and margin-focused investment narrative. This technology could replace computers: discover 26 stocks that are working to make quantum computing a reality. Dutch Bros Investment Narrative Recap To own Dutch Bros, you need to believe its fast-growing, drive-thru focused footprint and differentiated beverage innovation can translate into durable traffic and improving margins over time. This new galaxy-themed lineup supports that narrative around menu mix and novelty, but on its own it does not materially shift the near term focus on managing labor costs and protecting shop-level margins as the store base continues to expand at a rapid clip. The most relevant recent announcement here is Dutch Bros’ plan, outlined in February 2026, to open about 181 new stores this year and target 2,029 shops by 2029, while rolling its food program out nationwide. Limited-time drinks like Cosmic Cookie Dough, Stardust and Supernova fit into that broader catalyst by giving the brand more reasons to visit as it pushes into new markets, even as investors weigh the risk of unit growth outpacing sustainable same shop demand... Read the full narrative on Dutch Bros (it's free!) Dutch Bros' narrative projects $3.3 billion revenue and $234.2 million earnings by 2029. This requires 23.3% yearly revenue growth and about
Jul 20, 2026 · via simplywall.st
Solve complex materials-science problems with the new Fire Opal quantum-dynamics simulator Quantum computers allow us to directly model the quantum mechanical interactions that govern chemistry and materials, unlike classical simulators, which are forced to rely on approximations that lose precision as the problem grows in complexity. As a result, research scientists are embracing quantum computers as powerful new tools with the potential to accelerate the development of high-performance electric vehicle batteries and energy-efficient industrial catalysts, while opening access to new regimes of energy transfer and materials science that the community has not been able to explore before. This opportunity is impeded by the reality that quantum computers face a real bottleneck—errors which accumulate and cause algorithms to fail. This is an incredibly significant challenge that has placed a limit on how useful quantum computers could be—and it’s exactly what Q-CTRL solves. Delivering on our mission to make quantum technology useful, we recently broke through this barrier thanks to our performance-management software, Fire Opal. In a breakthrough demonstration on the IBM Quantum Platform, Q-CTRL achieved practical quantum advantage in quantum computing, solving a real problem in materials discovery 3,000x faster than the best available alternative classical software. With this demonstration, we have the first real evidence that quantum computers can be used to solve a real problem and deliver a better outcome than the existing conventional alternatives. Learn more about the details in the technical manuscript (updated July 2026) and our technical blog. Roughly one-third of all global supercomputer time is currently consumed by chemistry and materials science simulations. From designing room-temperature superconductors to uncovering carbon-neutral materials, the energy and industrial sectors face massive classical computational bottlenecks. And now quantum computers can help! The challenge Most quantum-dynamics simulations involve understanding how an interacting collection of particles like electrons evolve in time
Jul 20, 2026 · via q-ctrl.com
A new cryptographic breakthrough is reshaping the debate over Bitcoin’s future in the age of quantum computing by offering a potential way to recover some vulnerable coins without exposing private keys. The discussion gained momentum after Binance co-founder Changpeng Zhao (CZ) suggested that Bitcoin’s community could freeze Satoshi Nakamoto’s coins if quantum computers became capable of breaking Bitcoin’s cryptography. The proposal sparked criticism, with opponents arguing that permanently freezing coins would amount to confiscation. The concept already exists in Bitcoin Improvement Proposal (BIP) 361, co-authored by Casa co-founder Jameson Lopp. The proposal would gradually phase out Bitcoin’s legacy signature system, permanently freezing coins that never move. However, critics have long pointed out that such a solution leaves legitimate owners with no way to reclaim their assets. Project Eleven’s newly unveiled proof-of-ownership system aims to solve that problem. Instead of relying on vulnerable private keys, it allows users to prove ownership through the master key generated by modern BIP-32 seed phrases without revealing sensitive information. While quantum computers could eventually derive a private key from an exposed public key, they cannot reverse the one-way process used to generate the master key, making it a secure form of verification. The idea, first introduced by researchers Or Sattath and Shai Wyborski in 2023 as “signature lifting,” has advanced significantly. Lightning Labs CTO Olaoluwa Osuntokun created the first prototype, while Project Eleven’s latest version reportedly completes the verification process in just 243 milliseconds—around 16 times faster than earlier implementations. Despite its promise, the technology has major limitations. It only works with wallets built on the BIP-32 seed phrase standard introduced in 2012. Bitcoin wallets created before then, including those believed to belong to Satoshi Nakamoto, lack a master key and therefore cannot use the recovery method. Research by Sergio Demian Lerner estimates that roughly
Jul 20, 2026 · via tokenpost.com