A new algorithm from Weijun Feng of the Fujian Normal University and colleagues, in collaboration with Sun Yat-sen University, shows an exponential separation between quantum and classical space complexity when estimating Shannon entropy in data streams. The two-stage quantum streaming algorithm achieves logarithmic space complexity, a sharp improvement over the polynomial space needed by any classical method. This demonstrates a key distinction between quantum query complexity and streaming space complexity, highlighting a practical problem in areas like computer networking where quantum computation offers a vital advantage. Quantum algorithm achieves logarithmic space complexity for Shannon entropy estimation Shannon entropy estimation now requires logarithmic space on a quantum computer, a dramatic improvement over the polynomial space demanded by all classical algorithms for the same task. Previously, even the best quantum methods only offered a quadratic speedup for estimating entropy, falling short of a definitive advantage. The two-stage quantum streaming algorithm constructs a specialised ‘oracle’ from incoming data, enabling efficient quantum queries impossible for classical systems. Shannon entropy, a fundamental concept in information theory, quantifies the uncertainty or randomness inherent in a data source. Accurately estimating this entropy is crucial for various applications, including data compression, cryptography, and machine learning. Classical algorithms for Shannon entropy estimation typically require storing a significant portion of the data stream to achieve reasonable accuracy, leading to polynomial space complexity, meaning the memory requirement grows proportionally to a power of the input stream size. This becomes a bottleneck when dealing with massive, continuous data streams. This establishes a fundamental gap between how quantum and classical computers process information in data-rich environments, with potential implications for network analysis and data compression techniques. While practical implementation on near-term devices with limited qubit numbers remains a challenge, the algorithm achieves its space efficiency while maintaining accuracy parameters. Classical algorithms require exponentially
Apr 28, 2026 · via quantumzeitgeist.com
A new integration pathway for quantum computers into existing high-performance computing (HPC) centres has been demonstrated by Lukas Burgholzer and colleagues at Technical University of Munich. The pathway uses the Quantum Device Management Interface (QDMI), addressing the complexity arising from vendor-specific software chains. Implementing a QDMI layer with IQM superconducting systems and connecting it to Slurm job execution and Qiskit workflows sharply reduces the bespoke engineering required for each quantum backend. The resulting standardised software-hardware boundary provides reusable software components across different providers and deployment styles, enabling a faster transition from quantum pilots to production workflows. Standardised interface dramatically reduces quantum software development overhead The implementation reduces custom engineering effort by 75%, a figure previously unattainable due to the lack of standardised interfaces between quantum hardware and high-performance computing systems. This substantial reduction in effort is critical because the development of quantum algorithms and applications is already a complex undertaking, and the added burden of hardware-specific integration significantly hinders progress. Prior to this work, integrating a new quantum processor into an HPC environment often necessitated a complete rewrite of interfacing software, consuming valuable time and resources. This 75% reduction allows development teams to focus on algorithm design and optimisation, rather than low-level hardware communication. This threshold enables genuinely reusable software stacks, moving beyond isolated pilot projects and allowing scalable quantum integration within HPC centres. Previously, each quantum backend demanded entirely new software development, creating a significant operational burden, particularly for centres aiming to offer quantum computing as a service to a broad user base. Central to this advancement is the Quantum Device Management Interface, or QDMI, which functions as a universal translator between quantum processors and conventional computing resources, decoupling software evolution from specific hardware characteristics. QDMI achieves this by defining a consistent set of application programming interfaces (APIs) for
Apr 28, 2026 · via quantumzeitgeist.com
Monarch Quantum and Oratomic have entered a strategic partnership to accelerate the development of utility-scale, fault-tolerant quantum computers. The collaboration integrates Monarch’s specialized photonics systems with Oratomic’s neutral atom computing architecture. Under the agreement, Monarch Quantum will act as the systems integrator, providing its proprietary Quantum Light Engines™ and managing large-scale manufacturing to support Oratomic’s roadmap toward commercially viable hardware. The partnership aims to deliver quantum systems featuring tens of thousands of physical qubits capable of encoding thousands of error-corrected logical qubits by 2030. This target is notably lower than previous industry estimates, which suggested that one million or more physical qubits would be required to reach utility-scale performance. This efficiency is driven by Oratomic’s recent research—conducted in collaboration with Caltech—which utilizes high-rate quantum error correction (QEC) codes optimized for room-temperature neutral atom arrays. By combining integrated photonics for precision optical control with the scalability of neutral atom modalities, the two companies seek to move quantum technology from the laboratory to mass-manufactured deployment. Monarch Quantum, led by CEO Dr. Timothy Day, provides the infrastructure layer for quantum OEMs and defense integrators, while Oratomic, founded by Dr. Dolev Bluvstein, focuses on the hardware and error-correction architectures necessary to solve practical computational problems. The joint effort is positioned to establish a foundational supply chain for the next generation of fault-tolerant computing. You can find the official press release regarding the partnership between Monarch Quantum and Oratomic here. April 28, 2026 Leave A Comment
Apr 28, 2026 · via quantumcomputingreport.com
Canada’s first full-stack, university-owned quantum computer opening new horizons at the University of Saskatchewan The small disc – similar in circumference to a hockey puck – represents the culmination of decades of research, innovation and collaboration. It also holds tremendous promise for the future. While some outcomes are envisioned as faster vaccine development, better crops for food security, stronger insights for health care and business performance, other achievements are “yet to be imagined,” says Steven Rayan, professor of mathematics and statistics and director of the University of Saskatchewan (USask) Centre for Quantum Topology and Its Applications (quanTA). Excitement is writ large across Dr. Rayan’s face as he holds up what he jokingly calls “Canada’s most expensive hockey puck,” one of two quantum processing chips that will power the first university-owned-and-operated, vendor-supported, full-stack, open-architecture quantum computer in Canada. Housed at USask, it will expand quanTA into a major hub for quantum innovation, he says. “I’m holding 14 superconducting quantum bits, or qubits, in my hand. I’m also holding the results of a million dollars of investments, made possible by our immensely generous federal and provincial funders and partners. It has Canada written all over it.” For USask President Vince Bruni-Bossio, the quantum computer affords USask a place among the small group of universities globally that have such technology on site – and a key role in advancing Canada’s quantum strategy. “Quantum computing is reshaping how we approach big and complex problems in a rapidly changing world,” Dr. Bruni-Bossio says. “Being able to apply quantum tools to solve such challenges gives us the ability to lead. Rather than investing in a machine, we’re investing in the capacity to innovate and solve problems – and contribute in more impactful ways in areas that are important to Canada and the world.” A qubit-powered quantum
Apr 28, 2026 · via theglobeandmail.com
Bell Labs’ Michael Eggleston on Nokia’s research into topological quantum computing Bell Labs is known for developing radio astronomy technology, transistors and lasers – now owned by Nokia, its research is focusing on quantum computing For over a hundred years, the industrial research and development company Bell Labs has enjoyed a prestigious history. It developed solar cells, the Unix operating system and many other technologies that are now found in homes, offices and laboratories. In 2016, Nokia acquired the telecommunications company Alcatel-Lucent, which owned Bell Labs, and the historic organization now acts as the research branch of Nokia. Its primary focus is on developing emerging technologies, defined as those at least five years away from commercialization, and providing technical advice to Nokia. Conversely, Nokia identifies challenges affecting business users, which determines the direction of research at Bell Labs. Right now, one of the major projects at Bell Labs is its research into quantum computing, of ever more practical importance to businesses as we edge closer to ‘Q-Day’. Using the properties of subatomic particles, quantum computers are able to process vast amounts of information in a short space of time. It is expected that quantum computers will be capable of solving problems that would take conventional ‘classical’ supercomputers many years to complete, if at all. “My team is split into two main areas,” says Michael Eggleston, research group leader at Bell Labs and a PhD physicist specializing in semiconductor physics and quantum mechanics. Eggleston’s specialist focus is on optoelectronic devices – electronic devices that can control, generate or detect light – and it’s here that Bell Labs is aiming to carve a space for itself in quantum research. “One is on computation, looking at new ways of computing, as computing is just a fundamental requirement for any sort of communication. Communication
Apr 28, 2026 · via itpro.com
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Apr 28, 2026 · via youtube.com
ASU’s Panchanathan to lead Phoenix Quantum Strategy Newswise — Phoenix is ready to make a leap into its economic future with quantum computing, and the city has asked Arizona State University to play a leadership role. Mayor Kate Gallego announced the Phoenix Quantum Strategy, a new initiative, during her recent State of the City address. The initiative aims to position Phoenix as a quantum hub in the United States, adding to recent efforts to grow the area’s economy through key industries — efforts that led to Phoenix recently being named one of the top four cities for gross domestic product growth. “Phoenix's targeted investments have led to enormous growth in the biosciences and advanced semiconductor manufacturing — and I want to make sure that our city, our region and our state lead the economy of the future,” Gallego said. “Quantum technology is a promising platform for new economic growth, and if we do it right, harness our assets and develop a smart strategy, we can attract investment and better diversify our economy with industries built for the future.” Quantum technology — which has applications from health to national security — uses the strange physics of particles to build new, problem-solving technologies. Quantum computers, for example, may one day solve problems that would take today’s supercomputers thousands of years. At the City of Phoenix announcement, the mayor said the city has “the very best person in the country” to lead the new quantum initiative: Sethuraman “Panch” Panchanathan, former director of the National Science Foundation and now University Professor of Technology and Innovation at ASU. “Panch’s leadership at ASU and NSF helped shape America’s innovation agenda, and now he’s ready to lead the efforts for Phoenix,” Gallego said. Before becoming director of the NSF in 2020, Panchanathan worked at ASU for 22
Apr 28, 2026 · via newswise.com
Top Quantum Computing Stocks to Watch in April 2026 A new analysis suggests that quantum computing is approaching faster than many anticipate, and investors may need to adjust their portfolios to capture potential gains from an emerging sector. According to Yahoo Finance, the quantum computing market currently generates limited sales from early-stage systems, with most revenue coming from research partnerships and contracts. McKinsey & Company projects that by 2035, the industry could produce up to $72 billion in annual revenue, with widespread quantum computing potentially available as early as 2030. The report highlights that the most significant returns are likely to occur during the early phase of rollout, when uncertainty about market leaders is highest. Three stocks are presented as key quantum computing investments for April. IonQ IonQ (NYSE: IONQ) is described as a pure-play quantum computing stock, meaning it has no other business operations; its success is entirely tied to quantum computing. The company uses trapped-ion technology, which provides an accuracy advantage over some competing methods. IonQ recently disclosed a blueprint for building a quantum computer with 10,000 qubits, a level some consider the minimum for a commercially viable machine. Additionally, the military selected IonQ, along with a handful of other firms, for a DARPA contract, which the report cites as evidence of the company's technological standing relative to peers. D-Wave Quantum D-Wave Quantum (NYSE: QBTS) takes a different approach, focusing on quantum annealing technology rather than general-purpose quantum computers. This method is tailored for optimization problems, working by seeking the lowest-energy state of a system to estimate an ideal solution. 1. INTRODUCTION Making Data-Driven Decisions to Grow Your Business - REPORT DESCRIPTION - RESEARCH METHODOLOGY AND THE AI PLATFORM - DATA-DRIVEN DECISIONS FOR YOUR BUSINESS - GLOSSARY AND SPECIFIC TERMS 2. EXECUTIVE SUMMARY A Quick Overview of Market
Apr 27, 2026 · via indexbox.io
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Apr 27, 2026 · via youtube.com
IonQ (NYSE: IONQ) and Florida LambdaRail (FLR) have announced a Master Service Agreement to deploy a quantum-safe communication network across the state of Florida. Announced at the 2026 eMerge Americas Conference, the initiative marks the first phase of a broader effort to transition critical fiber infrastructure toward physics-based, quantum-secure protection. The initial project involves a 100-mile quantum corridor linking three research and education institutions between Palm Beach County and Miami-Dade County. The system utilizes IonQ’s Quantum Key Distribution (QKD) technology, which leverages the principles of quantum mechanics to detect interception attempts on encrypted data. Unlike traditional mathematical encryption, which is susceptible to future decryption by advanced quantum computers, QKD provides a “harvest now, decrypt later” defense by ensuring that encryption keys cannot be copied without alerting the network. This terrestrial fiber deployment follows IonQ’s recent international expansions in Switzerland and Romania, further establishing the company’s role in global quantum infrastructure. Florida LambdaRail, a nonprofit connecting 13 university partners and 58 affiliates via a 1,540-mile dark fiber network, will serve as the backbone for the rollout. By moving quantum-secure communications from laboratory settings to real-world deployment, the initiative aims to build a resilient ecosystem for public and private sector applications in finance, healthcare, and defense. Following the completion of the three-node corridor, the partners intend to scale the connectivity statewide, integrating more of Florida’s educational and research institutions into the quantum-safe network. You can find the official announcement regarding the Florida quantum-safe network here. Technical context on IonQ’s global deployment of QKD infrastructure can be found at the IonQ Newsroom here. April 27, 2026
Apr 27, 2026 · via quantumcomputingreport.com
Rigetti Computing to Report First Quarter 2026 Financial Results and Host Conference Call on May 11, 2026 BERKELEY, Calif., April 27, 2026 (GLOBE NEWSWIRE) -- Rigetti Computing, Inc. ("Rigetti" or the "Company") (Nasdaq: RGTI), a pioneer in hybrid quantum-classical computing, announced today that it will release first quarter 2026 results on Monday, May 11, 2026, after market close. The Company will host a conference call to discuss its financial results and provide an update on its business operations at 5:00 pm ET the same day. Key details regarding the call are as follows: Call Date: Monday, May 11, 2026 Call Time: 5:00 pm ET / 2:00 pm PT Webcast Link: https://edge.media-server.com/mmc/p/9vx4c96d Live Call Participant Link: https://register-conf.media-server.com/register/BIdbc06bbc0efb4b84b0681bceed95f22a Webcast Instructions You can listen to a live audio webcast of the conference call by visiting the “Webcast Link” above or the "Events & Presentations" section of the Company's Investor Relations website at https://investors.rigetti.com/. A replay of the conference call will be available at the same locations following the conclusion of the call for one year. Live Call Participant Instructions To participate in the live call, you must register using the “Live Call Participant Link” above. Once registered, you will receive dial-in numbers and a unique PIN number. When you dial in, you will input your PIN and be routed into the call. If you register and forget your PIN, or lose the registration confirmation email, simply re-register to receive a new PIN. About Rigetti Rigetti is a pioneer in full-stack quantum computing. Rigetti quantum computers are based on superconducting qubits, which are widely believed to be the leading qubit modality given their maturity, clear path to scaling, and fast gate speeds. Current Rigetti quantum computing systems achieve gate speeds of 50-70 nanoseconds, which is about 1,000 times faster than alternative modalities such as
Apr 27, 2026 · via investors.rigetti.com
Quantum computing stocks are in full rebound mode in 2026, with the benchmark S&P Kensho Global Quantum Computing Technologies Index up 40% year to date and up 161% over the past 12 months as of April 23. Multiple factors are pushing quantum stocks higher, particularly Nvidia Corp.’s (ticker: NVDA) rollout of the new Ising open-source quantum AI model program, designed to help researchers and enterprises build quantum processors capable of running high-end applications. [Sign up for stock news with our Invested newsletter.] Nvidia says Ising offers quantum players high-performance, scalable AI tools for quantum error correction and calibration, which the company cites as “two of the most critical challenges” in building hybrid-quantum classical systems. The models run the world’s best quantum processor calibration and “enable researchers to tackle much larger, more complex problems with quantum computers by delivering up to 2.5-times faster performance and 3-times higher accuracy for the decoding process needed for quantum error correction,” Nvidia said in an April 14 press release. Nvidia’s announcement, which coincided with World Quantum Day on April 14, wasn’t an outlier. Take IonQ Inc. (IONQ), which on the same day announced that company engineers had connected two physically separate quantum systems, a breakthrough the company called a “foundational technical milestone” that promises to lay the groundwork for linked quantum networks. That’s been a key plank in IonQ CEO Niccolo de Masi’s quantum strategy for the company. “Achieving this photonic interconnect milestone is a pivotal moment in our roadmap as we move from individual quantum processors to distributed, networked architectures,” de Masi said in a statement. “Scaling quantum computation beyond the limits of a single chip is essential for realizing a future quantum internet. This demonstration proves that our trapped-ion platform is uniquely suited for the high-fidelity networking required to solve the world’s most
Apr 27, 2026 · via wtop.com
Put “quantum” in front of almost anything and it tends to evoke a singular reaction: it must be highly technical, theoretical, or out of reach. But when it comes to “quantum computing” – especially the business of quantum computing – those instincts are misplaced. That is because the competitive dynamics driving this industry are, in many ways, deeply familiar. Quantum computing, like every major technological innovation that has come before it, presents new capabilities layered onto old economic realities. The shift from classical to quantum computing is no more mysterious from a competition standpoint than the move from the horse-and-buggy to the Model T. Though the technology changes, questions of competition – e.g., who controls access to key resources and sets standards, and how firms leverage early advantages – remain largely the same. Here, we explore how the antitrust laws might apply to the emerging industry of quantum computing. And while the science side of quantum computing is novel, certain core business risks associated with the industry are not. Even in its early, pre-commercial stage, familiar antitrust issues are already on the horizon. 1. The Quantum Stack: A New Architecture for Competition First, some basics. What is quantum computing? At their core, quantum computers differ from classical computers in how they process information. Traditional computers rely on bits: binary units that express either as 0 or 1. Quantum computers, however, run on qubits, which are not bound by the same binary constraints and can exist in multiple states simultaneously. This property enables quantum systems to simulate seemingly contradictory states in parallel, offering users the potential to solve certain, more complicated problems more efficiently than their classical counterparts. This technological advantage is not just theoretical. Cloud providers offer quantum as a service (QaaS), giving users access to the power that quantum
Apr 27, 2026 · via natlawreview.com
A new framework, Distributed Quantum-Enhanced Optimisation (D-QEO), addresses optimisation problems in high-dimensional search spaces where classical algorithms often fail to identify global minima due to exponentially growing search volumes. Dominik Soós at Naval Research Laboratory, and colleagues in collaboration with Fermi National Accelerator Laboratory and Old Dominion University, present a system that uses quantum processing as a topographical preconditioner, not a direct solver. The approach utilises a 50-qubit space, divided into manageable sub-spaces by 5-qubit subcircuits, to generate high-quality seed points for a classical GPU-accelerated solver, avoiding limitations of near-term quantum hardware and the issues of barren plateaus. Benchmarking on established functions shows that D-QEO mitigates the exponential failure rates of classical methods and sharply reduces the computational effort needed for convergence, offering a pragmatic pathway for integrating quantum resources into complex global search tasks. Quantum topographical preconditioning overcomes exponential scaling in function optimisation The D-QEO framework achieved a striking result: it prevented the exponential failure rates seen in purely classical algorithms when optimising high-dimensional functions, a feat previously unattainable with standard methods. Observed on benchmark functions, specifically the 10-dimensional Rastrigin and Ackley functions, classical algorithms typically falter due to the exponentially growing search space. As the number of variables increases, the volume of the search space expands exponentially, rendering exhaustive search impractical and stochastic methods increasingly unreliable. This phenomenon, known as the ‘curse of dimensionality’, severely limits the applicability of classical optimisation techniques to complex, real-world problems. Utilising a 50-qubit quantum processing unit (QPU) as a topographical preconditioner, the system effectively narrows the search area and generates high-quality seed points for a classical GPU-accelerated solver to refine, circumventing limitations of near-term quantum hardware. The quantum component doesn’t attempt to solve the optimisation problem directly, but rather to intelligently reshape the search landscape, making it more amenable to classical algorithms.
Apr 27, 2026 · via quantumzeitgeist.com
D-Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), the only dual-platform quantum computing company providing both annealing and gate-model systems, software and services, today announced that management will be participating in the following investor conferences: - Needham's 21st Annual Needham Technology, Media & Consumer Conference on May 14, 2026, attending virtually - J.P. Morgan's 2026 Global Technology, Media and Communications Conference on May 20, 2026 in Boston - Canaccord Genuity's Virtual Quantum Symposium on May 21, 2026, attending virtually - TD Cowen's 54th Annual Technology, Media & Telecom Conference on May 28, 2026 in New York City - Baird's 2026 Global Consumer, Technology & Services Conference on June 3, 2026 in New York City - Rosenblatt's 6th Annual Technology Summit on June 10, 2026, attending virtually To register for any of these conferences, and to schedule meetings with D-Wave management, please contact your sales representative at the appropriate investment bank. About D-Wave Quantum Inc. D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. It is the world's first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both annealing and gate-model quantum computing technologies. D-Wave's mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leap™ quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government and research sectors trust D-Wave to address complex computational challenges using quantum computing. Learn more about realizing the value of quantum computing today and how D-Wave is shaping the quantum-driven industrial and societal advancements of tomorrow: ir.dwavequantum.com . Forward-Looking Statements Certain statements in this press release are forward-looking, as defined in the Private Securities Litigation Reform Act of 1995. These statements
Apr 27, 2026 · via investingnews.com
Scientists just captured a mysterious quantum âdanceâ inside superconductors Scientists just spotted a mysterious quantum âdanceâ that could rewrite superconductivityâand reshape future tech. - Date: - April 27, 2026 - Source: - Simons Foundation - Summary: - In a breakthrough experiment, scientists directly imaged how particles pair up in a system that mimics superconductors. Instead of behaving independently, the pairs moved in a synchronized, dance-like patternâsomething never predicted before. This suggests a major gap in the classic theory of superconductivity. - Share: For the first time, researchers have directly visualized the quantum behavior that drives superconductivity, a state in which paired electrons allow electricity to flow with zero resistance at very low temperatures. But what they observed came as a surprise. In a study published April 15 in Physical Review Letters, the team captured images of individual atoms forming pairs inside a specially prepared gas cooled to nearly absolute zero -- the unreachable limit to how cold anything can get. This system, known as a Fermi gas, lets scientists replace electrons with atoms so they can study superconductivity in a highly controlled environment. Unexpected Quantum "Dance" Between Paired Particles After the atoms paired up, the researchers saw something unusual. The pairs did not behave independently. Instead, they moved in a coordinated way, with each pair's position influenced by nearby pairs -- a behavior not predicted by the 70-year-old, Nobel-prize-winning theory of superconductivity. "Our experiment showed that something is qualitatively missing from this theory," says experimental research lead Tarik Yefsah of the Laboratoire Kastler Brossel at the French National Centre for Scientific Research (CNRS) in Paris. Yefsah and other experimental physicists at CNRS collaborated on the new study with theoretical physicists, including Shiwei Zhang of the Simons Foundation's Flatiron Institute. This discovery adds an important piece to the puzzle of how
Apr 27, 2026 · via sciencedaily.com
Researchers have long warned that the advent of quantum computers, advanced systems that exploit the counterintuitive laws of quantum physics, could present a massive cybersecurity threat. While scientists are still only starting to get a clearer picture of the possible implications — we’re still far from quantum computers becoming commercially viable, let alone useful for everyday tasks — it’s a threat that core contributors to the Bitcoin cryptocurrency project aren’t taking lightly. In a recently proposed proposal, dubbed BIP361, Bitcoin developer and cryptography expert James Lopp suggested freezing a whopping 5.6 million long-dormant Bitcoins, worth around $430 billion, to safeguard them from one day being cracked by quantum computers. It’s a highly controversial plan, because the crypto community has long prided itself on allowing users to hold on to their riches without any external influence, at least in theory. As experts told CoinDesk, freezing roughly 30 percent of the total supply of all Bitcoins could send a dangerous message, potentially triggering an immediate correction of almost unprecedented proportions. “Freezing any coins, even ‘lost’ ones, tells the market that all (roughly) 19.8 million BTC currently in circulation are conditionally owned,” Op Net founder Samuel Patt told CoinDesk. “Institutional risk desks do not care about the reason, they care about the precedent.” The millions of dormant Bitcoins have not changed wallets for more than a decade. They’re also stored in addresses that haven’t been upgraded to the latest cybersecurity standards, meaning that they’re theoretically more exposed to quantum attacks. Lopp told CoinDesk earlier this month that he would “rather for lost or dormant coins to be taken out of reach from an attacker rather than have them flow into the hands of an entity that likely doesn’t care much about the ecosystem.” Lopp’s suggestion, which effectively undermines the crypto community’s core principles
Apr 27, 2026 · via futurism.com
A quantum computing startup spun out of the Institute for Quantum Computing at the University of Waterloo is rapidly gaining traction, securing $10.7 million in combined dilutive and non-dilutive funding and achieving a public listing just over six months after launch. QuantumCore, co-founded by Dr. Christopher Wilson, a faculty member at the Institute for Quantum Computing and Chief Technology Officer, along with CEO Eugene Profis, is focused on developing critical hardware components for quantum computers. Its core innovation is an amplifier designed to boost read-out signals from superconducting quantum chips operating near absolute zero temperatures and transmit them effectively to room temperature systems. This addresses a key engineering bottleneck in scaling quantum computing systems. The company has raised $9 million through two private funding rounds since October 2025. These included both brokered and non-brokered private placements, with Canaccord Genuity Corp. serving as lead intermediary alongside PowerOne Capital Markets Limited. This approach allowed QuantumCore to tap into a broader pool of investors beyond traditional venture capital, leveraging Canada’s established financing model for high-risk, high-reward sectors. Earlier this month, the company also completed a public listing on the Canadian Securities Exchange, further strengthening its capital position. In addition, QuantumCore secured $1.7 million through the Natural Sciences and Engineering Research Council of Canada’s Alliance Grant program as an industry partner with the Institute for Quantum Computing. This funding provides access to advanced research facilities, including Wilson’s lab, enabling accelerated development without diluting shareholder value. The company is positioning itself as a key enabler in the quantum ecosystem rather than a direct competitor to quantum computer manufacturers. Its amplifier technology is intended to support companies building large-scale quantum systems with thousands of qubits, helping them overcome signal-readout challenges as they move toward commercialization. Since its launch, QuantumCore has hired five full-time technical employees and
Apr 27, 2026 · via pulse2.com
Quantum Computers Are Coming to Break Cryptography Faster Than Anyone Expected Algorithmic advances are steadily lowering the bar for quantum attacks—even before large-scale hardware exists. Image Credit IBM Share Online data is generally pretty secure. Assuming everyone is careful with passwords and other protections, you can think of it as being locked in a vault so strong that even all the world’s supercomputers, working together for 10,000 years, could not crack it. But last month, Google and others released results suggesting a new kind of computer—a quantum computer—might be able to open the vault with significantly fewer resources than previously thought. The changes are coming on two fronts. On one, tech giants such as IBM and Google are racing to build ever-larger quantum computers: IBM hopes to achieve a genuine advantage over classical computers in some special cases this year, and an even more powerful “fault-tolerant” system by 2029. On the other front, theorists are refining quantum algorithms: Recent work shows the resources needed to break today’s cryptography may be far fewer than earlier estimates. The net result? The day quantum computers can break widely used cryptography—portentously dubbed “Q-Day”—may be approaching faster than expected. The Quantum Hardware Race Quantum computers are built from quantum bits, or qubits, which use the counterintuitive properties of very tiny objects to carry out computations in a different and sometimes far more efficient way from traditional computers. So far the technology is in its infancy, with the major goal to increase the number of qubits that can be connected to work as a single computer. Bigger quantum computers should be much better at some things than their traditional counterparts—they will have a “quantum advantage.” Late last year, IBM unveiled a 120-qubit chip which it hopes will demonstrate a quantum advantage for some tasks. Google also
Apr 27, 2026 · via singularityhub.com
Quantum computers can perform certain computational tasks much faster than classical computers. Unlike classical bits, which store their data in zeros and ones, qubits (quantum bits) can exist in superpositions of states to simultaneously explore more possibilities. That sounds like a major leap forward in computing, but quantum computers are also larger, pricier, and consume more power than their classical counterparts. They also output a higher percentage of errors. That's why they're still primarily used for niche research projects rather than mainstream computing applications. Nevertheless, the quantum computing market could still expand at a 30.6% CAGR from 2026 to 2034, according to Fortune Business Insights, as those systems become smaller, more scalable, more affordable, and more accurate. That rosy outlook sent many quantum stocks soaring to record highs last October. Still, most of the top names subsequently pulled back as macro headwinds rattled the market and drove investors away from the speculative sector. One such quantum stock was IonQ (IONQ +2.69%), which has dropped nearly 50% from its all-time high. However, I believe IonQ could be the first quantum stock to prove the bears wrong and generate massive gains over the next decade for a few simple reasons. What does IonQ do? Most quantum computing systems accelerate electrons through superconducting loops to process data in a quantum state. Those electron-based systems are cheaper to manufacture than more advanced systems, but they must be cryogenically cooled. By comparison, IonQ develops "trapped ion" systems that trap ions in an electromagnetic field within a vacuum chamber and manipulate them with tiny lasers. These room-sized systems are much larger than electron-based systems, but they don't require any refrigeration. NYSE: IONQ Key Data Points IonQ's systems process data more slowly than electron-based systems, but they're exposed to less environmental noise (which increases their accuracy) and
Apr 27, 2026 · via fool.com