Meet the quantum tribes: Six competing visions of fault-tolerant computing The quest for fault-tolerant quantum computing is taking many paths For a technology that's apparently poised for a commercial breakthrough, quantum computing research is still pursuing a surprising number of approaches to creating a scalable, fault-tolerant quantum computer (FTQC). While all of these approaches effectively do the same thing - creating, stabilising and manipulating qubits (the basic units of quantum computing information) in order to perform calculations on them, the nature of both the qubits and the underlying hardware vary widely. Unlike classical computing, which quickly converged on silicon CMOS as the prevailing architecture, quantum computing remains divided among several competing camps. Each purport to be a viable route to fault tolerance, and proponents of each point to different strengths in speed, fidelity, connectivity, scalability or manufacturability. The fact that so many approaches remain in contention speaks both to the decades-long development timescales and the immense challenges that remain to create a commercially viable, fault-tolerant and scalable device. It also raises the question of whether the arrival of a FTQC is really as imminent as some in the industry suggest. "When we started Phasecraft, I thought that there would be a few hardware companies and many algorithms or software companies, but it's the opposite that turned out to be true," Ashley Montanaro, co-founder and CEO of quantum algorithm startup Phasecraft, told Computing at the Economist's Commercialising Quantum Global event last month. So what are the main approaches - or modalities as they are known? What are the pros and cons of each? And will a multiplicity of approaches continue to exist or will one eventually conquer all? Efforts to narrow the field are under way through initiatives such as DARPA's Quantum Benchmarking Initiative in the US and the UK's ProQure
Jul 9, 2026 · via computing.co.uk
Researchers across Europe will gain access to a diverse portfolio of quantum computing technologies starting August 1st, 2026, as the European High Performance Computing Joint Undertaking (EuroHPC JU) opens its quantum infrastructure to experimentation. The initiative provides access to systems including Euro-Q-Exa, Lucy, Piast-Q, and VLQ, representing superconducting qubits, photonic qubits, and trapped-ions, and aims to integrate quantum computers with existing supercomputing capabilities. This “quantum pilot access mode” is designed for users wanting to document the technical feasibility of their applications and develop essential code and algorithms, rather than simply running existing programs. The EuroHPC JU states that this step enables users to experiment with different quantum technologies to advance scientific discovery and drive innovation, with six quantum computers procured and two more co-funded through the HPCQS project, all located within Europe. EuroHPC JU Quantum Access for Testing and Development Europe’s quantum computers are now available for researchers, offering a crucial platform to test and refine emerging applications. This access is not simply about running existing programs on novel hardware, but a deliberate strategy to integrate quantum computers with Europe’s established supercomputing capabilities, enabling quantum-accelerated HPC. The EuroHPC JU’s investment focuses on a diverse portfolio of quantum technologies, including trapped ions, superconducting circuits, photonics, and more, allowing users to evaluate performance across different approaches. The first four quantum computers immediately available through this initiative are Euro-Q-Exa, Lucy, Piast-Q, and VLQ, each utilizing distinct qubit technologies; Euro-Q-Exa and VLQ are based on superconducting qubits, while Lucy employs photonic qubits and Piast-Q utilizes trapped-ions. Researchers, public institutions, and industry stakeholders can submit proposals, with the first application deadline being August 1st, 2026, followed by a monthly evaluation cycle. This access is specifically designed to facilitate the development of quantum algorithms and workflows, as well as the assessment of application feasibility. The EuroHPC
Jul 9, 2026 · via quantumzeitgeist.com
In a paper published in the Journal of Statistical Physics in 1980, the American physicist Paul Benioff described what is now called the quantum Turing machine: a model of a computer that operated according to the laws of quantum mechanics. Quantum mechanics is the branch of physics that studies the behaviour of matter and light at atomic and subatomic scales. At these scales, the certainty associated with classical mechanics disappears. Instead of pinpointing a particle’s properties, scientists can only make educated guesses. This uncertainty may sound daunting. But Benioff — and other scientists like the British physicist David Deutsch, American physicist Richard Feynman, and American computer scientist Peter Shor — suggested ways to harness it for computation. Their work eventually became the foundation for one of the contemporary world’s most ambitious technological pursuits, one for which the Government of India sanctioned over Rs 6,000 crore in April 2023. By 2031, the National Quantum Mission (NQM) — whose objectives include building “intermediate-scale quantum computers” — is expected to “make India one of the leading nations in the development of Quantum Technologies & Applications,” according to the Department of Science & Technology website. Beyond hype Beyond nationalistic pride, the possibilities of a quantum computer are tantalising. Among other things, quantum computers are expected to herald a new era in how we simulate molecules and their interactions, secure our digital lives, optimise complex logistical networks, and model natural phenomena that overwhelm even our most powerful supercomputers. However, those in the thick of it warn against hype. “It is worth treating claims you hear in the field with scepticism,” Jason Freidenfelds, spokesperson for Google Quantum AI, the tech giant’s quantum computing research division, said. “To date no one has experimentally demonstrated a commercially relevant problem that can be solved by today’s quantum computers that
Jul 9, 2026 · via thehindu.com
Heidelberg physicists just united two opposing quantum theories A major breakthrough in quantum physics has unified two long competing ideas about how a single particle behaves inside a crowded quantum environment. - Date: - July 8, 2026 - Source: - Heidelberg University - Summary: - A new quantum theory bridges two rival models of how impurities behave inside many-particle systems, resolving a problem that has challenged physicists for decades. The findings could reshape experiments on ultracold atoms, semiconductors, and other exotic forms of quantum matter. - Share: A new theory developed by physicists at Heidelberg University brings together two long competing ideas in quantum physics, offering a unified explanation for how an unusual particle behaves inside a crowded quantum environment. The work connects two seemingly opposite descriptions of a single impurity moving through or remaining nearly motionless within a large collection of fermions, a system known as a Fermi sea. The framework, created by researchers at Heidelberg University's Institute for Theoretical Physics, explains how quasiparticles emerge and links two previously disconnected quantum states. The team says this advance could have important implications for experiments exploring quantum matter. New theory unifies competing quantum models Quantum many body physics has long relied on different models to explain how impurities, such as exotic electrons or atoms, interact with surrounding particles. One well established picture is based on quasiparticles. In this model, a single impurity moves through a sea of fermions, including electrons, protons, or neutrons, while interacting with nearby particles. As it travels, it effectively carries those neighboring particles with it, creating a combined entity called a Fermi polaron. Although it behaves like a single particle, this quasiparticle actually arises from the collective motion of the impurity and the particles around it. According to Eugen Dizer, a doctoral candidate at Heidelberg University's Institute
Jul 9, 2026 · via sciencedaily.com
AI shifted cloud strategy from basic architecture to operations, while quantum computing now demands long-term risk management and decision infrastructure. The strangest thing about cloud strategy is how confident it looks in PowerPoint and how nervous it feels in real life. I’ve sat in rooms where the cloud slide looked clean enough to frame. Public cloud here. Private cloud there. Hybrid for the awkward middle child. Multi-cloud for resilience, bargaining power and the faint hope that no single vendor would ever own our sleep. Then AI arrived. At first, it looked like another conversation about workload. Bigger compute. More storage. Faster experiments. Some awkward cost questions. Nothing we couldn’t absorb with a thicker roadmap. Then the bills landed. The data moved in odd ways. Teams built things before governance could find its shoes. Vendors became more central than anyone had admitted. The old cloud strategy didn’t collapse. It blushed. AI exposed the assumptions beneath it. Now, quantum changes something deeper. It asks whether the decisions behind the workload can survive time, secrecy, suppliers, weak evidence and uncertainty. That’s a much less comfortable meeting. Cloud strategy was built for workloads we thought we understood For years, cloud strategy was a sensible debate about location, cost, control and speed. Public cloud for scale. Private cloud for sensitive workloads. Hybrid cloud for compromise. Multi-cloud for resilience, negotiation or, if we’re being honest, organizational politics with a nice diagram. The logic was sound. Move faster. Cut heavy infrastructure spend. Improve recovery. Give developers what they need before they grow old waiting for a server. It worked because the work behaved in familiar ways. Systems had owners. Costs had patterns. Data had borders, or at least we pretended it did. The question was simple: Where should this workload live? That question still matters. But it
Jul 8, 2026 · via cio.com
Long regarded with great theoretical interest and a topic of decades of academic research, quantum science is now approaching an inflection point. Advances in quantum technology are bringing commercial applications closer to reality, with the potential to accelerate computing, enhance industrial sensor accuracy and boost telecommunications reliability. These developments could have far-reaching implications for sectors including healthcare, cybersecurity, artificial intelligence—and the office technology industry. Recognizing quantum technology’s promise, the U.S. Department of Commerce recently announced $2 billion in federal incentives under the CHIPS and Science Act that will go to nine companies in the quantum space: $1 billion for IBM; $375 million for GlobalFoundries to catalyze manufacturing capacity; and between $38 million and $100 million for seven other firms to overcome the most potentially impactful and unresolved engineering needs. In the office technology space, as previously covered in The Cannata Report, HP last year became the first company to release printers with the capability of protecting their data against attacks from quantum computers. This could be crucial given that experts believe there’s a roughly one in three chance that by 2034, these computers will be able to decode asymmetric cryptography algorithms potentially within hours—rather than years—making these machines vulnerable to hackers on a whole new level. This has led to demands for “quantum-resistant printing” that encrypts data in a way that future-proofs it, rather than leaving it vulnerable to bad actors who are, even today, harvesting data from institutions like hospitals, banks, and law firms that they might not be able to decrypt now—but anticipate having that ability within a decade. Companies that turn a blind eye to this will expose themselves to liability and lose out on RFPs from government, banking, and other sectors; while those that open their eyes could also have new business opportunities. Hackers already know
Jul 8, 2026 · via thecannatareport.com
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Jul 8, 2026 · via youtube.com
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Jul 8, 2026 · via youtube.com
IQM Quantum Computers announced that it has acquired selected assets of Quantistry GmbH. Quantistry is a Berlin-based developer of a cloud-native simulation workflow platform for automotive, aerospace, chemical, materials, and pharmaceutical industries. The acquired assets include proprietary software applications, algorithms, and intellectual property. IQM will also retain Quantistry’s core technical, quantum chemistry, and software engineering talent to support continuity and platform integration. The transaction was completed recently in connection with IQM’s business combination with Real Asset Acquisition Corp. That transaction made IQM the first publicly listed European quantum computer company on Nasdaq. The acquisition integrates Quantistry’s application software platform, algorithm simulation libraries, and machine learning layer with IQM’s quantum hardware infrastructure. IQM said the combination creates a full-stack solution designed to accelerate industrial research and development. Quantistry’s technology is designed to support use cases across automotive, aerospace, chemicals, materials science, and pharmaceuticals. Its platform combines quantum mechanics, chemical simulations, high-performance computing, machine learning, and AI. A key differentiator of Quantistry’s technology is its proprietary machine learning and AI layer. The platform enables users without deep quantum computing or chemical simulation expertise to create and simulate chemical compounds with accuracy on demand. The framework automatically determines efficient computational pathways. It can route complex workflows across classical high-performance computing infrastructure, native AI computing environments, and quantum backends. IQM said Quantistry’s software will connect directly to its quantum computers. This will allow industrial clients to build proofs of concept inside the IQM ecosystem and scale them as the hardware improves without switching platforms or starting over. The acquisition also gives IQM an opportunity to engage with Quantistry’s roster of industrial enterprise customers. IQM plans to transition and expand those relationships under its brand while offering customers a continuum of classical simulation, AI-driven optimization, and quantum acceleration. IQM Quantum Computers is a full-stack superconducting
Jul 8, 2026 · via pulse2.com
Christian Weedbrook, founder and CEO of Toronto-based quantum computing firm Xanadu, visited the White House on Tuesday to attend the US government’s quantum summit. The news: Weedbrook shared the news in an X post. He told BetaKit over email that the event brought together American quantum CEOs and senior US government officials working on related policy. The group discussed the US’ new 2028 goal, bolstering supply chains, expanding the workforce, and unresolved technical challenges. Weedbrook said the event focused on how the public and private sector can work together to advance quantum tech, and explored how companies can support US government research and development, like a key military-backed quantum research program in which Xanadu is participating. From the source: Weedbrook described the US as “a critical hub,” noting Xanadu has worked with a wide range of US government agencies since its early days and has core manufacturing partners and dozens of employees there. While “Xanadu is proudly Canadian … we always think globally,” he said. The CEO also claimed Xanadu was the lone Canadian quantum computing firm in attendance, but could not speak to whether others were invited. BetaKit has reached out to the White House and fellow Canadian quantum computing champions Photonic and Nord Quantique (which are part of the same DARPA initiative as Xanadu) to confirm whether they were also asked. Following the thread: Xanadu and other Canadian quantum firms—including the formerly Canadian D-Wave—have felt pressure to move to the US before, and Xanadu recently went public after having trouble raising the money it wanted from Canadian investors. While Weedbrook is happy with what the Government of Canada’s rival quantum research program has brought to the table thus far, and has repeatedly said he intends to keep Xanadu Canadian under his leadership, recent US industry support, including plans
Jul 8, 2026 · via betakit.com
Intel Sunsets Quantum Intrinsics & Other Open-Source Projects This Week Intel has formally archived some more of their now-unmaintained open-source projects this week. While Intel / Intel Labs continues working on new quantum computing chip research, their open-source software efforts around quantum processors have taken another step back. Back in February Intel archived their Quantum Passes project that was providing additional compiler optimization passes for the Intel Quantum SDK. This week they archived their Quantum Intrinsics open-source project. Intel Quantum Intrinsics provided a C++-based front-end for the Intel Quantum Compiler and went along with their previously-archived Quantum Passes. Intel Quantum Intrinsics is an adaptation of LLVM/Clang. Quantum Intrinsics hasn't been seeing much development in recent times amid restructuring at Intel and now their GitHub repository has been archived. Besides cuts for quantum computing software work, even amid the AI rush they continue sunsetting some AI-related open-source projects too. In prior months they have sunset some AI-related projects like the BigDL time series toolkit and IPEX LLM while now OAP-MLLIB is the latest to be archived. Intel OAP-MLLIB provided optimized Spark packages for accelerating machine learning algorithms with Spark MLlib. OAP-MLLIB leveraged the Intel oneAPI Data Analytics Library "oneDAL" that was since punted off to the UXL Foundation along with the Intel oneAPI Collective Communications Library "oneCCL". The OAP-MLLib targeted both Intel CPU and GPU capabilities. Also let go this week was Intel FastGo. Intel FastGo provided optimized Go programming language packages for different compression algorithms for the speediest Deflate / Zlib / Gzip performance when running on Intel Xeon server processors. While Intel / Intel Labs continues working on new quantum computing chip research, their open-source software efforts around quantum processors have taken another step back. Back in February Intel archived their Quantum Passes project that was providing additional compiler
Jul 8, 2026 · via phoronix.com
A quantum leap forward for qubit encoding DOI: 10.1063/10.0044402 Optical tweezers, which trap ultracold atoms in highly focused laser beams, have emerged as a preferred tool for advancing quantum computing thanks to their connectivity and scalability. In particular, strontium (Sr) boasts a conducive electronic structure that enables extreme precision and allows for effective qubit encoding. But many existing setups typically use 2D magneto-optical traps, which can suffer from limited vacuum isolation and inherent heating. Venderbosch et al. developed an apparatus with a single laser beam and a 5x5 grid of tweezers, each of which holds a single atom, that employs a deflection stage to isolate the hot, 420 C Sr oven from the cold atoms loaded into the grid. “We need cold atoms at micro-Kelvin temperatures because only then is their kinetic energy low enough to stay inside the tweezers,” said author Rianne Lous. The novel setup also features a laser system with fiber optic splitters, multiplexers and acousto-optic modulators, and frequency comb technology to make it as compact as possible. The lasers themselves are ultimately kept stable using a frequency source about 100 kilometers away at the Dutch Metrology Institute, which distributes signals over optical fiber to the laboratory. In addition to providing guidance for the development of new Sr tweezer setups, the innovation will become part of a multi-hardware quantum technology platform that offers users the chance to try out different quantum computers and simulators. “Neutral atom quantum computers are among the fastest growing platforms with record amounts of qubits and competitive coherence times,” said Lous. “The end goal is to make a quantum computer openly accessible to the public by offering a user-friendly platform and a high-level programming language.” Source: “A robust strontium tweezer apparatus for quantum computing,” by Marijn Venderbosch, Rik van Herk, Zhichao Guo, Jeśus
Jul 8, 2026 · via aip.org
The University of Pretoria (UP) has launched a new research hub, UP Quantum Science and Technology (UPQuST), after being designated as a national node under the South African Quantum Technology Initiative (SA QuTI). Backed by South Africa’s national Department of Science, Technology and Innovation (DSTI), the center is established as one of six nationally funded quantum research hubs across the country. The initiative secures a five-year funding allocation aimed at developing localized quantum software infrastructures, training postgraduate workforces, and translating basic physics research into industrial applications. [ UPQuST National Node Framework ] Host Institution ──► University of Pretoria (UP) - Inamori / Science Faculties. National Network ──► South African Quantum Technology Initiative (SA QuTI) 6-node consortium. Core Focus Vectors ──► Quantum computing architectures, quantum sensing, and quantum metrology. Funding Mechanism ──► 5-year programmatic grant via Department of Science, Technology and Innovation.The node’s research portfolio is organized across three foundational domains: quantum computing, quantum sensing, and quantum metrology (the science of ultra-precise measurement). Led by node director Prof. Tjaart Krüger, researchers will work across multidisciplinary tracks spanning physics, chemistry, computer science, and engineering to transition quantum frameworks into field-deployable tools. Rather than engineering localized physical hardware processing units, the computational groups are focusing on algorithm design, optimization modeling, and building software subroutines capable of accelerating data parsing for agriculture, mining, and localized corporate networks. The practical deployment roadmap prioritizes high-impact regional use cases designed to address domestic economic challenges. In agricultural engineering, the node is designing quantum-enhanced sensors to detect crop pathologies before visual degradation occurs, while its metrology teams are modeling subterranean diagnostics to optimize mineral exploration and processing efficiency. Concurrently, the center is investigating software protocols for cybersecurity systems, including quantum-resistant cryptographic infrastructure, deepfake detection algorithms, and advanced ransomware threat-analysis platforms. To support broader human capital development, UPQuST will
Jul 8, 2026 · via quantumcomputingreport.com
MOST POPULAR AI - AI and ML AI is becoming a bargain hunter's market, with a few luxury models on topInference is become a commodity except for frontier models - AI and ML South Korean chip startup FuriosaAI invades European datacentersRNGD accelerators land in Equinix's Lisbon DCs - AI and ML Enterprise AI still smarting from leaping before lookingMajority report AI-related security incidents or vulnerabilities - Science Boffins bet on quantum computers, AI supers to solve fusion fuel dilemmaDepartment of Energy, Cleveland Clinic, and IBM simulate a soup of molten salts and techno babble in pursuit of tritium - AI and ML Software engineers can still rake in big bucks by working for fast-growing companiesAI's impact on tech business is complicated Infosec - Security Russians are posing as Signal support to launch phishing attacksPLUS: US takes down Iranian propaganda sites; Marketing company asks 'Why Do We Have Your Information?' And more! - Security Microsoft patches failed to fix on-prem SharePoint, which is now under zero-day attackPLUS: China upgrades smartphone surveillance tools; Ring eases anti-snooping stance; and more - Black Hat and DEF CON DEF CON Franklin project enlists hackers to harden critical infrastructureVoting village reports have been so successful, says Jeff Moss, that the whole of DEF CON will now be included - Security EQT buys majority share in Swiss cybersecurity biz AcronisWent at equivalent of $3.5B+ valuation for entire firm, though portion sold not specified - Malware Month Ten years since the first corp ransomware, Mikko Hyppönen sees no end in sightOn the plus side, infosec's a good bet for a long, stable career FOSS - Collabora releases CODE 26.04 as rivalry between FOSS cloudy office suites heats upNow with Markdown support and smarter formula error handling – plus integrated AI, though it's off by default - Blast from
Jul 8, 2026 · via theregister.com
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Jul 8, 2026 · via youtube.com
Latest News
Oak Ridge National Lab, Cleveland Clinic, and IBM Achieve First-Known Computations of Fusion Materials on a Quantum Computer
July 06, 2026
A team of scientists from Oak Ridge National Laboratory (ORNL), Cleveland Clinic, and IBM (NYSE: IBM), have calculated nine molecular configurations of a promising material to produce fuel for fusion energy – the first-known instance of such computations on quantum computers.
Jul 8, 2026 · via newsroom.ibm.com
D-Wave Quantum (NYSE: QBTS) to Receive $1.5M Grant Through NSF Project to Strengthen US Quantum Computing Leadership Austin, Texas, July 7th, 2026, FinanceWire 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, announced it has been selected to receive a $1,566,250 grant from the U.S. National Science Foundation (NSF) through the agency’s National Quantum Virtual Laboratory (NQVL) program. The funding will support D-Wave’s role as a key industry partner in ERASE (Erasure Qubits and Dynamic Circuits for Quantum Advantage) – a project focused on developing foundational technologies for fault-tolerant quantum computing and strengthening U.S. leadership in quantum innovation. Led by Yale University, the ERASE project brings together researchers from leading academic institutions and industry organizations to advance dual-rail gate-model quantum computing hardware, software, error correction, and applications. D-Wave, through its New-Haven, Connecticut-based subsidiary Quantum Circuits, LLC, will give ERASE researchers access to its superconducting dual-rail gate-model quantum computing resources. The award moves ERASE into the second phase of the NQVL program and underscores the NSF’s continued support for the project’s approach to scalable, fault-tolerant quantum computing. “NSF’s continued support for the ERASE project highlights the national importance of accelerating progress toward scalable, fault-tolerant quantum computing,” said Dr. Alan Baratz, CEO of D-Wave. “We believe that D-Wave’s dual-rail technology can play a meaningful role in that effort, while building the technical foundation and skilled workforce needed to sustain U.S. leadership in quantum computing.” To view the full press release, visit https://ibn.fm/5um9O 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
Jul 7, 2026 · via webdisclosure.com
Alfred University, the New York State College of Ceramics, and quantum development firm Classiq have announced a joint quantum computing initiative designed to integrate functional hardware-portable software modeling into engineering curricula and energy systems research. The academic collaboration deploys Classiq’s high-level synthesis platform to bypass manual, gate-level quantum circuit construction, allowing students and researchers to engineer functional algorithms without deep low-level compilation skills. The curriculum expansion is intended to support workforce development and applied energy optimization models across the State University of New York (SUNY) network. [ Alfred University - Classiq Framework ] Software Engine ──► Classiq high-level functional synthesis platform using agentic compilation workflows. Research Focus ──► Power system unit commitment optimization and ceramic/glass materials discovery. Academic Integration──► Inamori School of Engineering curricula, expanding across CUNY and SUNY networks. The instructional integration is led by Junpeng Zhan, Assistant Professor of Renewable Energy Engineering at the Inamori School of Engineering, who has embedded the platform into active courses. Zhan’s core research focuses on power systems optimization, specifically the “unit commitment problem”—a multi-variable calculation where electric grid operators determine the most cost-effective generation schedules to meet fluctuating regional energy demands. The joint initiative builds upon Zhan’s previous National Science Foundation (NSF)-funded computational grants and a 2024 collaborative research program with the Rochester Institute of Technology and ISO-New England to explore quantum optimization paths for wholesale electrical grids. Concurrently, the initiative expands into solid-state physics and advanced materials modeling under S. K. Sundaram, Inamori Professor of Materials Science and Engineering. This branch of the program explores quantum algorithm implementations to model molecular configurations and evaluate structural tolerances in advanced ceramics, glass, and manufacturing components. Looking forward, Alfred University and Classiq are formulating educational extensions focused on AI-assisted quantum design alongside a multi-institution grant proposal. This upcoming submission aims to scale quantum computing
Jul 7, 2026 · via quantumcomputingreport.com
Why IonQ (IONQ) Stock Is Nosediving Kayode Omotosho / July 7, 2026 What Happened? Shares of quantum computing company IonQ (NYSE:IONQ) fell 7.1% in the afternoon session after investor caution grew around the quantum computing sector amid high valuations and the emergence of a new competitor. The decline extended a period of weakening sentiment, as several quantum computing stocks, including IonQ, experienced significant drawdowns in the previous month. Some market commentary pointed to the sector's "extreme price-to-sales multiples," describing these stocks as highly speculative investments. Adding to the pressure, European firm IQM Quantum Computers began trading on the Nasdaq. This public listing provides investors with a new option to gain exposure to the quantum computing space, increasing competition for investment capital. The stock market overreacts to news, and big price drops can present good opportunities to buy high-quality stocks. Is now the time to buy IonQ? Access our full analysis report here, itâs free. What Is The Market Telling Us IonQâs shares are extremely volatile and have had 77 moves greater than 5% over the last year. In that context, todayâs move indicates the market considers this news meaningful but not something that would fundamentally change its perception of the business. The previous big move we wrote about was 15 days ago when the stock gained 4.6% on the news that analyst firm Northland boosted its price target on the stock while traders purchased bullish call options. Northland raised its price target on IonQ to $70 from $55 and maintained an Outperform rating on the shares. The analyst cited confidence that the company's upcoming investor day on September 8 will demonstrate its leadership in achieving "Broad Quantum Advantage." Sentiment was also boosted by heavy trading in call options, which are bets that a stock's price will rise. This activity signals
Jul 7, 2026 · via stockstory.org
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Jul 7, 2026 · via youtube.com