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Quantum Computers
Horizon <b>Quantum</b> Holdings Ltd.
Horizon Quantum Holdings Ltd. - Class A Ordinary Shares (HQ) 11.91 +0.00 (0.00%) NASDAQ· Last Trade: May 18th, 5:37 AM EDT Detailed Quote | Previous Close | 11.91 | |---|---| | Open | - | | Bid | 10.00 | | Ask | 11.52 | | Day's Range | N/A - N/A | | 52 Week Range | 8.290 - 14.22 | | Volume | 312 | | Market Cap | - | | PE Ratio (TTM) | - | | EPS (TTM) | - | | Dividend & Yield | N/A (N/A) | | 1 Month Average Volume | 182,457 | Chart News & Press Releases Horizon Quantum Computing Pte. Lays Out Quantum Software Push at Needham Conferencemarketbeat.com Horizon Quantum Computing Pte. (NASDAQ:HQ) used its appearance at Needham & Company’s 21st annual Technology, Media, & Consumer Conference to outline its strategy as a newly public quantum software company focused on building infrastructure for developers, hardware providers and end users. Needham Via MarketBeat · May 17, 2026 This Quantum Computing Stock Went Public in March. History Says It Could Be a Massive Buy.fool.com This high-risk, high-upside technology stock could be worth watching as quantum computing evolves. Via The Motley Fool · May 14, 2026 While Everyone's Obsessed With the SpaceX IPO, These 3 Quantum Computing Stocks Just Quietly Went Publicfool.com These companies could shape the future of quantum computing. Via The Motley Fool · May 11, 2026 Horizon Quantum Announces Participation in Upcoming Investor Conferences Horizon Quantum Holdings Ltd. (Nasdaq: HQ) (“Horizon Quantum,” "we," "us," or "our"), a pioneer of software infrastructure for quantum applications, today announced that Dr. Joe Fitzsimons, Founder & Chief Executive Officer, and Greg Gould, Chief Financial Officer, will participate in several upcoming investor conferences. By Horizon Quantum Holdings Ltd. · Via Business Wire · May
Horizon <b>Quantum Computing</b> Pte. Lays Out Quantum Software Push at Needham Conference
Horizon Quantum Computing Pte. NASDAQ: HQ used its appearance at Needham & Company’s 21st annual Technology, Media, & Consumer Conference to outline its strategy as a newly public quantum software company focused on building infrastructure for developers, hardware providers and end users. Needham senior analyst Quinn Bolton opened the fireside chat by noting that Horizon “recently came public in late March.” Dr. Joe Fitzsimons, Horizon’s founder and chief executive officer, said the company’s mission is to build software infrastructure that enables developers to use quantum computers to solve difficult problems and create value for end users. Fitzsimons said quantum computing hardware has made “tremendous progress” over the past 12 to 18 months, but he added that the industry is not yet at the point where quantum software is running in production and affecting companies’ bottom lines. Horizon’s focus, he said, is on helping the industry get there. Building a Hardware-Agnostic Software Layer Fitzsimons described Horizon as sitting “at the heart of the ecosystem” by connecting developers, hardware providers and end users. The company is building programming languages and compilers designed to take code written by developers and compile it for a range of quantum computers. Horizon also aims to package quantum programs as web APIs so they can be incorporated into user-facing software. He said one of the main challenges in quantum computing is that current programming approaches often require developers to work at a very low level, assembling quantum programs one logic gate at a time. Existing frameworks such as Qiskit and Cirq use Python to help generate quantum circuits, but Fitzsimons said those approaches remain limited because “not all of computation is circuits.” Horizon’s approach, he said, is to design programming languages for an ideal future quantum computer, then build compilers and runtime capabilities that allow those programs
US President Trump Exposes Full Alien Documents | Pentagon | US News Live
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IQM and Real Asset Acquisition Corp. Announce Public Filing of Form F-4 Registration ...
IQM and Real Asset Acquisition Corp. Announce Public Filing of Form F-4 Registration Statement with the SEC This filing marks an important milestone in the transaction, moving IQM closer to becoming the first European quantum computing company to go public. Global commercial leader with 23 systems sold to customers to date – including 4 out of the top 10 supercomputing centres and increasing adoption by enterprise customers. Industrial leader with 15 systems delivered (largest number publicly disclosed by selected quantum companies[1], 30+ computers built, own chip factory, assembly line and quantum data centre. The transaction values IQM at a pre-money equity valuation of approximately USD 1.8 billion. With the close of this transaction, IQM’s cash position is expected to be up to EUR 397 million (USD 465 million).[2] Significant business momentum, with 2025 revenue of USD 36 million[3] or over EUR 31 million. IQM intends to apply for its shares to be admitted to trading on Nasdaq Helsinki following the Business Combination. Jan Goetz, Chief Executive Officer and Co-Founder, IQM, said: “This filing is a milestone we have worked hard to reach, and it signals our readiness to operate at a new level. Public markets will give IQM the platform and capital to accelerate everything we are building as we work towards delivering fault-tolerance quantum computing at scale. We are proceeding thoughtfully and with full focus on a seamless path to listing.” Peter Ort, Principal Executive Officer and Co-Chairman of Real Asset Acquisition Corp, said: "We are proud to be partnered with IQM as we hit this important milestone. We look forward to completing this transaction and supporting the company’s vision for the future of quantum computing.” While the Registration Statement has not been declared effective, and the information included therein is not complete and is subject to change, it
<b>Quantum Computing</b> as a Non-AI Tech Investment
Search across reports, market insights, and blog stories. Type at least 3 characters to see fast results. Press / or ⌘K anytime. Searching… No fast matches found. Press Enter to see full results. May 17, 2026 Quantum Computing as a Non-AI Tech Investment The artificial intelligence market has experienced significant growth and demonstrated notable resilience in recent years, with many AI-related stocks reaching new highs despite warnings about a potential bubble. According to a report from Yahoo Finance, investors have the option to consider technology investments that do not involve AI at all. A Non-AI Tech Play The article highlights quantum computing as an alternative, specifically pointing to a company called IonQ, which trades under the ticker IONQ on the New York Stock Exchange. While quantum computing and AI share some synergy, they are not dependent on one another, the source states. Quantum computers are described as poor at performing everyday computing tasks that even advanced AI systems handle, such as browsing the internet or managing spreadsheets. However, they excel at encryption, sophisticated modeling, and extremely complex calculations, with scientific applications that are virtually limitless. For example, the source notes that Alphabet's quantum computer, Willow, solved a math problem in five minutes that would have taken the most advanced conventional supercomputer 10 septillion years to solve. While a convergence point between quantum computing and AI may eventually arrive, the two technologies are not yet interdependent, making quantum stocks like IonQ a tech investment that does not rely on AI. IonQ's Business Model The source identifies IonQ as the only end-to-end quantum computing company, meaning it sells quantum computers directly to large businesses or government entities. Since quantum machines are expensive, the bulk of IonQ's revenue comes from selling cloud-based access to its quantum computers. Many businesses and research laboratories that
'The Oppenheimer' of the AI Era
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Real Materials Can Exhibit Geometric Phase Shifts Despite Lacking Complex Structures
Researchers at the University of Exeter, led by Pavel Kurasov, have demonstrated a novel method for generating a non-trivial geometric Berry’s phase using Hamiltonians constructed on metric graphs, with significant implications for quantum computation and materials science. The study reveals that systems governed by real-valued eigenfunctions, a simplification over previous models, can exhibit this phase, establishing a direct connection between changes in topological structure and the emergence of geometric phases. This work challenges the conventional understanding that complex-valued eigenfunctions are a prerequisite for observing such phenomena. Real-valued eigenfunctions induce a geometric phase via metric graph topology A geometric phase of π, equivalent to a 180-degree rotation, has been observed in a system previously thought incapable of supporting it, representing a significant advancement beyond prior limitations which typically required complex-valued eigenfunctions. Scientists, utilising metric graphs, mathematical models representing quantum systems as networks of interconnected edges and vertices, have demonstrated this non-trivial Berry’s phase despite employing only real-valued eigenfunctions. Metric graphs provide a flexible framework for modelling quantum systems where the potential varies along the edges of the graph, and the coupling between edges is determined by the vertex conditions. The phase was achieved by carefully manipulating the graph’s topology via these ‘vertex conditions’, which dictate how wave functions behave at the points where edges connect. This manipulation alters how the lines connecting points within the graph interact, effectively reshaping its structure and inducing the phase shift; the observed phase represents a substantial change in quantum state, potentially useful for encoding and manipulating quantum information. The ability to achieve this with real-valued functions is particularly noteworthy, as it simplifies the mathematical description and potentially eases experimental realisation. Metric graph topology can induce a geometric phase shift of π, or 180 degrees, even when the system’s eigenfunctions remain entirely real-valued. Specifically, altering the
<b>Quantum</b> Algorithms Become Simpler With New Python Toolkit Unitaria
A new Python library called Unitaria simplifies the development of quantum algorithms by bridging the gap between classical linear algebra and quantum computation. Matthias Deiml and colleagues at University of Augsburg present a set of tools that allows researchers to define and manipulate block encodings of matrices and vectors using a familiar, array-like interface. The library eliminates the need for complex, low-level circuit construction, enabling algorithm development, verification and analysis via classical simulation and resource estimation, all without requiring fully error-corrected quantum hardware. Unitaria’s unique matrix-arithmetic evaluation path sharply accelerates progress in quantum linear algebra by offering a scalable and accessible platform for both research and development. Unitaria enables scalable classical simulation of quantum algorithms via block encoding Classical simulation of quantum algorithms has historically been constrained by exponential scaling with system size, limiting the verification of algorithms beyond a few qubits. Traditional state vector simulation, while conceptually straightforward, quickly becomes intractable as the number of qubits increases. Unitaria circumvents this limitation by leveraging block encodings and a novel matrix-arithmetic evaluation path, allowing classical simulation to scale beyond the thresholds previously imposed by state vector methods. Block encoding is a technique where a matrix is embedded as a sub-block within a larger unitary operator, effectively transforming linear algebra operations into quantum operations. This allows algorithms to be expressed in terms of unitary transformations, which can then be simulated classically using efficient matrix operations. The library’s approach bypasses the need for explicit ancillary qubit management or detailed circuit simulation, significantly reducing the computational overhead associated with classical simulation. This advancement allows researchers to move beyond the limitations of small-scale simulations and explore more intricate quantum designs, facilitating the development of algorithms that would otherwise be impossible to test. The project received funding from the Deutsche Forschungsgemeinschaft under number 571768116, supporting the
Meet the <b>Quantum Computing</b> Stock That Could Crush IonQ in 2026 | The Motley Fool
Given the wild success that quantum computing start-ups like IonQ (IONQ 9.61%) enjoyed in 2025, it's no surprise that even more new players have entered the field in 2026. One of these contenders for quantum dominance is Infleqtion (INFQ 10.95%), which briefly reached a market cap of $6 billion in April, despite going public only in February. NYSE: INFQ Key Data Points But could this scrappy upstart's performance really crush the more established IonQ in 2026? I believe it could. Here's how Infleqtion might pull it off. A different kind of quantum While other quantum computing companies use subatomic particles like electrons or photons, both Infleqtion and IonQ use entire atoms instead. The benefit, according to both companies, is that for certain elemental types, all atoms of the same type in the universe are identical. This reduces manufacturing costs and the potential for defects. IonQ utilizes ionized ytterbium atoms in its quantum components, while Infleqtion uses neutral rubidium and cesium atoms. But the big difference between the companies' quantum computers is their accuracy. Accuracy in quantum computing is measured by "two-qubit gate fidelity." In October, IonQ became the first quantum computing company to achieve two-qubit gate fidelity of 99.99%. That's highly accurate, but considering classical computers essentially have 100% accuracy, it's still less than ideal. Infleqtion, on the other hand, claims two-qubit gate fidelity of only 99.73%, which is a world away in computing terms. So how could Infleqtion possibly outperform IonQ? Volatility could spell opportunity Luckily for Infleqtion, it doesn't necessarily need to close the quantum computing accuracy gap for its stock to outperform IonQ's this year. Infleqtion uses quantum technology for more than just computing. The company is a pioneer in quantum sensing technology, manufacturing devices that utilize neutral-atom technology for precise measurements. Its Tiqker atomic clock is
Infleqtion: The market is front-running the '<b>quantum</b>-era NVI...
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Decade of Policy Support Drives <b>Quantum</b> Breakthroughs
Decade of Policy Support Drives Quantum Breakthroughs Executive Summary: - A decade of increasingly specific policy direction in the People’s Republic of China (PRC)—Five-Year plans, Ministry of Industry and Information Technology (MIIT) technical mandates—has shifted focus from basic science to engineering targets and deployment, effectively guiding both industry pathways and investor behavior. - The sector is supported by a multi-tiered, state-aligned capital architecture that provides large-scale, patient funding, reducing commercial pressure and enabling quantum firms to prioritize deployment over short-term profitability. - The PRC has already translated research into operational infrastructure, exemplified by the Beijing–Shanghai quantum network and Micius satellite, demonstrating end-to-end quantum communication capabilities at national scale. - Despite strong central coordination, provincial competition introduces fragmentation and inefficiencies, creating parallel ecosystems that may dilute resources but also drive innovation pressure. On April 3, Shenzhen-based SpinQ Technology (量旋科技) announced the completion of the largest single quantum computing financing event in country’s history (Xinhua, April 3). The investors included state-backed funds and municipal government vehicles alongside technology-focused private equity firms. SpinQ’s success is a signal of growing momentum in the quantum ecosystem in the People’s Republic of China (PRC). This is helped by a prevailing view that treats quantum hardware as infrastructure as, in the PRC, infrastructure gets built whether or not adequate market demand for it exists. The Chinese Communist Party (CCP) aims to convert scientific achievements into operational capabilities, commercial deployments, and, eventually, military advantages. The result is a self-reinforcing system in which policy signals attract capital that funds development, which in turn demonstrates viability, which then justifies further policy. The PRC’s industrial policy, financial sector, and government applications together illustrate how the CCP has translated laboratory science into operational national infrastructure. Central Policy Cultivates Provincial Efforts The 2026 Government Work Report, which Premier Li Qiang (李强) unveiled on
US Iran Set for Nuclear War? Iran Enriches 440KG Uranium Enough to Make 12 Nuclear Bombs
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China Unveils Jiuzhang 4.0: The Photonic <b>Quantum Computer</b> Defying the Laws of Speed
The new iteration of China’s Jiuzhang photonic quantum computer prototypes solved the Boson sampling problem much more quickly than the world’s most powerful computer. The computer represents a major leap and opens the doors for further advancement in photonic quantum computing. China Unveils Jiuzhang 4.0: The Photonic Quantum Computer Defying the Laws of Speed Key Takeaways - USTC launched Jiuzhang 4.0, manipulating 3,050 photons to reach 92% source efficiency in quantum computing. - Lu says Jiuzhang 4.0 processes data in 25 microseconds, disrupting the industry’s classic supercomputers. - Bitcoin developers must address this rising quantum threat, weighing fixes like BIP-360 to secure data. China’s Jiuzhang 4.0 Photonic Quantum Computer Breaks Records China has cemented its leadership in the quantum computing world with Jiuzhang 4.0, the latest iteration of the nation’s take on quantum computing that leverages photons to make advanced calculations. According to Nature, Jiuzhang 4.0 achieved a breakthrough in the sector, increasing the number of photons manipulated to 3,050, up from the 255 mark achieved with Jiuzhang 3.0 in 2023. While the development of photonic quantum computers has been hampered by photon loss, the University of Science and Technology of China (USTC) developed a special optical light source and an interferometer that allowed the system to increase its source efficiency to 92% and its overall efficiency to 51%. Lu Chaoyang, a professor at the USTC, stated that “the most complex data sample generated by ‘Jiuzhang 4.0’ takes only 25 microseconds to produce – shorter than the blink of an eye.” This shows a remarkable improvement compared to the most powerful computer in the world, which would take “more than 10 to the 42nd years to calculate the same result,” said Lu. Lu highlighted that this manufacturing breakthrough opens the possibility to further advance photonic quantum computing development, enabling the
Bounding the computational power of bosonic systems | npj <b>Quantum</b> Information
Abstract Bosonic quantum systems operate in an infinite-dimensional Hilbert space, unlike discrete-variable quantum systems. This distinct mathematical structure leads to fundamental differences in quantum information processing, such as exponentially greater complexity of state tomography1 and factoring in constant space2. Yet, it remains unclear whether this structural difference may translate to a practical computational advantage over finite-dimensional quantum computers. Here we take a step towards answering this question by showing that universal bosonic quantum computations can be simulated in polynomial space (and exponential time) on a classical computer, improving the previous best upper bound requiring exponential memory3. In complexity-theoretic terms, we improve the best upper bound on CVBQP with at most exponential energy from EXPSPACE to PSPACE. This result is achieved using a simulation strategy based on finite energy cutoffs and approximate coherent state decompositions. While we propose ways to potentially refine this bound, we also present arguments supporting the plausibility of an exponential computational advantage of bosonic quantum computers over their discrete-variable counterparts. Furthermore, we emphasize the role of circuit energy as a resource and discuss why it may act as the fundamental bottleneck in realizing this advantage in practice. Similar content being viewed by others Acknowledgements U.C. acknowledges inspiring discussions with J. Marshall, A. Motamedi, S. Mehraban, and S. Gharibian. V.U. and U.C. acknowledge funding from the European Union’s Horizon Europe Framework Program (EIC Pathfinder Challenge project Veriqub) under Grant Agreement No. 101114899. D.R. was supported by the DFG under grant number 563388236 (Priority Program 2514: Quantum Software, Algorithms and Systems). Author information Authors and Affiliations Corresponding author Ethics declarations Competing interests The authors declare no competing interests. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary information Rights and permissions Open Access This article is licensed under
This <b>Quantum Computing</b> Company Is Already Making Waves in Industry | The Motley Fool
Quantum computing appears to be a faraway technology that won't make an impact for many years. But there are actually some quantum computers that are being made by D-Wave Quantum (QBTS 8.04%), and they are making a real impact in the industry. D-Wave is seeing strong demand for its purpose-built quantum computers, and it makes for a practical quantum computing investment right now. D-Wave is using a different approach to quantum computing When you hear about quantum computers, most of the time, investors are discussing quantum computers that have the same capability as a traditional computer. This allows them to run a wide variety of workloads and perform other operations easily. General computing is extremely difficult, but more specialized computing isn't as hard. D-Wave Quantum is taking the more specialized path, and its products are already being used in multiple industries. It specializes in quantum annealing technology, which looks for the qubit with the lowest-energy state in the system. Qubits are the base information unit for quantum computers, similar to how a bit is used in traditional computing. By finding the qubit with the lowest energy state, this represents the most optimized answer. Optimization problems are common in industry; traditional computers are quite bad at optimizing because they must calculate their way through several options to determine which is best. Quantum computers have a significant advantage in this field because they use superposition, which allows for a more nuanced analysis within a single qubit, versus a bit, which is limited to a 0 or a 1. NYSE: QBTS Key Data Points Optimization problems are common in scheduling and logistics networks, as well as artificial intelligence. Several companies are already using D-Wave Quantum's products in workforce and production scheduling, doing tasks that would have taken a traditional computer weeks to complete,
This Genius <b>Quantum Computing</b> Stock Just Grew Its Revenue at a 755% Rate
One of my favorite investments in the quantum computing space is IonQ (IONQ 9.61%), and in its first-quarter report, it just revealed incredible top-line growth. Quantum computing is closer to reality than you may think Quantum computing is still a fledgling technology, but as companies like IonQ work toward producing commercially viable systems, they are securing partnerships with potential future customers in advance. Cutting-edge companies want to be ready so that when genuinely useful quantum computers become available, they are ready to hit the ground running. IonQ already boasts partnerships with several major companies, and it has become a top choice due to its technological edge. Quantum computers are all built around "qubits" -- quantum bits, their fundamental unit of information. But qubits can be created in several different ways, and all the players are using their own unique variations. So far, IonQ's technology holds the record for quantum computing accuracy. This is a big deal. Even the best current systems generate high levels of errors in their results, which is the primary reason that quantum computing isn't a commercially useful technology yet. NYSE: IONQ Key Data Points Another issue is the amount of computing power available. Just as traditional computers process information in bits, quantum computers use qubits. The more qubits in a system, the more powerful it is. IonQ is working toward its groundbreaking 256-qubit computer, which will be able to provide impressive results for those who deploy it, although even that will still be a bit too small for widespread commercial relevance. Still, the company announced its first system sale in the first quarter of this year. In Q1, IonQ's combined revenue from system sales and research contracts topped $64.7 million -- up 755% year over year. That's major growth for any company, and if IonQ can
The Unfiltered Snabbit Story | The Startup Solving India's Unorganised House Help Crisis
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'Revenue is not our main driver:' Xanadu CEO defends long-term vision after stock plunge
Xanadu Quantum Technologies Ltd. says it is focused on its long-term growth while its stock experiences extreme volatility in the short term. Its stock fell over nine per cent on Friday, following an over 60 per cent drop two weeks ago. The Toronto-based company, which builds universal photonic quantum computers, reported its inaugural first-quarter earnings on Thursday. It posted a revenue of US$2.8 million but reported a net loss of US$20.6 million, or US$0.28 per share. Regardless, things are going exactly as they should, says Christian Weedbrook, founder and CEO of Xanadu. “We’ve always taken a long-term view here at Xanadu… we try very hard not to look at the stock price, really thinking years ahead,” he says. “Revenue is not our main driver here.” He says the stock’s sharp drop is a technical side effect of having very few tradable shares and the typical volatility of de-SPAC companies, rather than a sign that major investors are quitting. “The more float we have, the more stable the stock will be,” says Weedbrook. Xanadu Quantum Technologies went public nearly two months ago in a dual listing, where it began trading simultaneously on both the Nasdaq in New York and the Toronto Stock Exchange under the ticker symbol XNDU. It was the first pure-play photonic quantum computing company to be listed on both exchanges. Since then, the stock has experienced extreme volatility. It skyrocketed from approximately US$11 to US$44 by mid-April. The surge was largely triggered by Nvidia’s release of the “Ising” quantum AI models. This ignited speculative interest across the entire quantum sector, as Xanadu’s error-correction technology is highly compatible with Nvidia’s new tools. “I think we’ll see more and more of these things over the coming years, these blips that drive the stock price up. And that’s a function of
Rigetti Q1 Revenue Surge Signals Rising <b>Quantum</b> Demand Trends
Rigetti Q1 Revenue Surge Signals Rising Quantum Demand Trends Rigetti Computing RGTI exited first-quarter 2026 with strong top-line momentum, driven by growing demand for its quantum computing systems and continued execution on its commercialization strategy. Revenues surged nearly 199% year over year to $4.4 million, primarily fueled by on-premises Novera QPU deliveries, related contracts and government-backed research projects. Rigetti’s expanding cloud presence was another key highlight, as its newly launched 108-qubit Cepheus-1-108Q system became generally available on Rigetti Quantum Cloud Services, Amazon Braket, Microsoft Azure Quantum and qBraid. Management believes Cepheus-1-108Q is currently one of the most powerful generally available gate-based quantum computers in the market, strengthening Rigetti’s positioning in the rapidly evolving quantum computing landscape. The quarter also reflected meaningful progress on Rigetti’s technology roadmap toward achieving quantum advantage over the next three years. The company highlighted improving fidelities, faster gate speeds and continued advancements in its proprietary chiplet-based scaling architecture. Rigetti achieved approximately 99.1% median two-qubit gate fidelity on the 108-qubit system while prototype systems demonstrated fidelities as high as 99.9% with faster gate speeds, signaling further room for performance improvement. Management also emphasized growing customer engagement for Novera QPUs and system-level contracts, including the previously announced $8.4 million C-DAC order in India, which is expected to contribute revenues later this year. Backed by a strong cash balance of nearly $569 million and no debt, Rigetti remains well-positioned to continue investing aggressively in R&D, infrastructure and global expansion initiatives, including its planned $100 million investment in the United Kingdom. Peers Updates D-Wave Quantum QBTS has also been making aggressive moves to strengthen its commercial quantum computing positioning, although its first-quarter 2026 results reflected a mixed picture. Revenues declined nearly 81% year over year to $2.9 million due to the absence of a large system sale recorded in the