Quantum Computing Market Analysis: Industry Trends & Investment
Quantum computing market news: market size, industry analysis, quantum investment, market forecast. Quantum computing stocks & funding.
The quantum computing market is transitioning from research to commercial reality, with projections ranging from $1 billion (2024) to $125 billion by 2032 depending on fault-tolerant system development.
Market segmentation by offering type includes quantum hardware (30%), quantum software (25%), and quantum services (45%). By application: optimization (35%), simulation (30%), machine learning (20%), and cryptography (15%).
India's Quantum Market Landscape
India's National Quantum Mission represents a ₹6,003.65 crore ($720 million) government investment through 2030-31, making it one of the top 5 government quantum programs globally. The mission aims to capture a significant share of the growing quantum market by developing indigenous capabilities across computing, communication, sensing, and materials.
India's quantum startup ecosystem received government support through NQM and NM-ICPS (National Mission on Interdisciplinary Cyber-Physical Systems). Eight startups selected in November 2024 include: QNu Labs (Bengaluru): Quantum-safe networks and QKD systems; QpiAI India (Bengaluru): Superconducting quantum computer development; Dimira Technologies (IIT Mumbai): Cryogenic cables for quantum computing; Prenishq (IIT Delhi): Precision diode-laser systems; QuPrayog (Pune): Optical atomic clocks; Quanastra (Delhi): Advanced cryogenics and superconducting detectors; Pristine Diamonds (Ahmedabad): Diamond materials for quantum sensing; Quan2D Technologies (Bengaluru): Superconducting nanowire single-photon detectors.
Tata Consultancy Services (TCS) partners with IBM on quantum computing with significant investment in quantum algorithm development. The Quantum Valley Tech Park in Andhra Pradesh represents a major public-private quantum computing investment.
quantum-computingQuantum Computing Companies In 2026
Quantum Computing Companies in 2026 The most comprehensive publicly available directory of quantum computing companies across hardware, software, security, sensing, components and services spanning dozens of countries. The quantum computing industry has crossed the billion-dollar revenue mark. Stock valuations for pure-play quantum companies have reached tens of billions. Governments on six continents have committed more than $40 billion in national quantum strategies. Google’s Willow chip demonstrated a 13,000x speedup over the world’s fastest supercomputer. Quantinuum secured a billion-dollar joint venture with Qatar. IonQ executed $2.5 billion in acquisitions across eighteen months. The Quantum Navigator tracks hundreds of organisations spanning dozens of countries. This article profiles the most significant players across every segment of the quantum technology stack. Every company links to its full profile on the Quantum Navigator. If your company is missing, get in touch and we will add you. Expand AllCollapse All ⚛️ Superconducting QubitsIBM, Google, Rigetti, IQM, OQC and superconducting circuit companies IBM QuantumNYSE: IBM🇺🇸 USLed by Jay Gambetta (VP, IBM Quantum), IBM has invested more in superconducting quantum computing than any other organisation. IBM operates the largest fleet of cloud-accessible quantum systems through IBM Quantum Network (300+ organisations). The 156-qubit Heron processor achieved 16x better performance over 2022 systems. In November 2025, the 120-qubit Nighthawk featured 218 next-generation tunable couplers enabling 30% more circuit complexity. IBM achieved a 10x speedup in QEC decoding, one year ahead of schedule. The IBM-Cisco partnership targets networked distributed quantum infrastructure by 2030. The roadmap extends to Kookaburra (2026, logical qubits + quantum memory) and Starling (2028, 200 logical qubits from ~10,000 physical qubits using LDPC codes that IBM claims require 90% fewer qubits than Google’s surface code). Qis
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quantum-computingConsortium Led by 4colors Research Awarded NQCC SparQ Grant to Advance Optimisation with Quantum Computing
Insider Brief A consortium led by 4colors Research, including Airbus, DNV, National Quantum Computing Centre, and ORCA Computing, has received a 2025 SparQ grant to develop a quantum computing use case for aircraft loading optimisation. The project, funded through the STFC Cross Cluster Proof of Concept SparQ Quantum Computing Call, focuses on hybrid classical–quantum approaches to mixed-integer optimisation in aerospace logistics. The initiative aims to improve aircraft cargo loading efficiency, with potential benefits including reduced fuel consumption, lower emissions, and better fleet utilisation. PRESS RELEASE — 4colors Research announced today that a consortium led by the company and comprising Airbus, DNV, NQCC, and ORCA Computing has been awarded an NQCC SparQ Grant under the 2025 STFC Cross Cluster Proof of Concept: SparQ Quantum Computing Call. The programme is funded by the National Quantum Computing Centre (NQCC) in the UK. The award will support a collaborative project titled “Quantum-Accelerated Mixed-Integer Optimisation for Aircraft Loading” whose goal is to develop a quantum computing use case in aerospace logistics. “Through the SparQ programme, NQCC is supporting important, industry-led projects that explore how quantum computing can deliver real-world impact. This consortium exemplifies the collaborative innovation needed to advance practical quantum optimisation”, commented Dr Rob Whiteman, Quantum Readiness Delivery Lead, NQCC. Advancing Aircraft Loading with Hybrid Quantum Computing The project aims to demonstrate how hybrid classical–quantum computing can help solve the complex and high-impact problem of aircraft cargo loading. Optimising both what to load and where to stow it, while satisfying trim, centre-of-gravity, structural, and operational constraints, can yield substantial benefits for airlines and cargo operators. Even small improvements in this process can lead to lower fuel burn and CO₂ emissions, faster turnaround times, and bette
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quantum-computingVapor Phase Assembly of Molecular Emitter Crystals for Photonic Integrated Circuits
--> Quantum Physics arXiv:2602.18517 (quant-ph) [Submitted on 19 Feb 2026] Title:Vapor Phase Assembly of Molecular Emitter Crystals for Photonic Integrated Circuits Authors:Arya D. Keni, Christian M. Lange, Adhyyan S. Mansukhani, Emma Daggett, Ankit Kundu, Ishita Agarwal, Patrick Bak, Benjamin Cerjan, Jonathan D. Hood View a PDF of the paper titled Vapor Phase Assembly of Molecular Emitter Crystals for Photonic Integrated Circuits, by Arya D. Keni and 7 other authors View PDF HTML (experimental) Abstract:Organic molecules embedded in an organic matrix exhibit lifetime-limited optical coherence and bright emission at cryogenic temperatures below 3 K. Here we present a simple vapor-phase growth method for synthesizing optically thin DBT-doped anthracene crystals that are compatible with integrated nanophotonics. The crystals are ~200 nm thick with sub-nm surface roughness and a tunable lateral dimension of up to 200 $\mu$m. The molecular transitions remain narrow and spectrally stable, with inhomogeneous broadening below 100 GHz, comparable to DBT in bulk anthracene. The dopant density is tunable up to several hundred molecules per $\mu$m$^2$, ensuring emitters within the near-field of nanophotonic structures. We demonstrate that the crystals can be micropositioned onto integrated photonic devices with the molecular dipole aligned to the optical mode. This approach opens a path toward on-chip single-photon sources and collective many-emitter effects. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.18517 [quant-ph] (or arXiv:2602.18517v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.18517 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Arya Keni [view email] [v1] Thu, 19 Feb 2026 19:37:41 UTC (2,271 KB) Full-text links: Access Paper: View a PDF of the paper titled Vapor Phase Assembly of Molecular Emitter Crystals for Photonic Integrated Circuits, by Arya D. Keni and 7 other authorsView PDFH
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quantum-computingPredicting Magic from Very Few Measurements
--> Quantum Physics arXiv:2602.18939 (quant-ph) [Submitted on 21 Feb 2026] Title:Predicting Magic from Very Few Measurements Authors:J. M. Varela, L. L. Keller, A. de Oliveira Junior, D. A. Moreira, R. Chaves, R. A. Macêdo View a PDF of the paper titled Predicting Magic from Very Few Measurements, by J. M. Varela and 5 other authors View PDF HTML (experimental) Abstract:The nonstabilizerness of quantum states is a necessary resource for universal quantum computation, yet its characterization is notoriously demanding. Quantifying nonstabilizerness typically requires an exponential number of measurements and a doubly exponential classical post-processing cost to evaluate its standard monotones. In this work, we show that nonstabilizerness is, to a large extent, in the eyes of the beholder: it can be witnessed and quantified using any set of $m$ $n$-qubit Pauli measurements, provided the set contains anti-commuting pairs. We introduce a general framework that projects the stabilizer polytope onto the subspace defined by these observables and provide an algorithm that estimates magic from Pauli expectation values with runtime exponential in the number of measurements $m$ and polynomial in the number of qubits $n$. By relating the problem to a stabilizer-restricted variant of the quantum marginal problem, we also prove that deciding membership in the corresponding reduced stabilizer polytope is NP-hard. In particular, unless $\mathrm{P} = \mathrm{NP}$, no algorithm polynomial in $m$ can solve the problem in full generality, thus establishing fundamental complexity-theoretic limitations. Finally, we employ our framework to compute nonstabilizerness in different Hamiltonian ground states, demonstrating the practical performance of our method in regimes beyond the reach of existing techniques. Comments: Subjects: Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el) Cite as: arXiv:2602.18939 [quant-ph] (or arXiv:2602.18939v1 [quant-ph] for this
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quantum-computingQuantum Error Correction and Dynamical Decoupling: Better Together or Apart?
--> Quantum Physics arXiv:2602.19042 (quant-ph) [Submitted on 22 Feb 2026] Title:Quantum Error Correction and Dynamical Decoupling: Better Together or Apart? Authors:Victor Kasatkin (1 and 2), Mario Morford-Oberst (1 and 2), Arian Vezvaee (1 and 2 and 3), Daniel A. Lidar (1 and 2 and 3 and 4 and 5) ((1) Department of Electrical & Computer Engineering at University of Southern California, (2) Center for Quantum Information Science & Technology at University of Southern California, (3) Quantum Elements Inc, (4) Department of Physics & Astronomy at University of Southern California, (5) Department of Chemistry University of Southern California) View a PDF of the paper titled Quantum Error Correction and Dynamical Decoupling: Better Together or Apart?, by Victor Kasatkin (1 and 2) and 7 other authors View PDF HTML (experimental) Abstract:Quantum error correction (QEC) and dynamical decoupling (DD) are tools for protecting quantum information. A natural goal is to combine them to outperform either approach alone. Such a benefit is not automatic: physical DD can conflict with an encoded subspace, and QEC performance is governed by the errors that survive decoding, not necessarily those DD suppresses. We analyze a hybrid memory cycle where DD is implemented logically (LDD) using normalizer elements of an $[[n,k,d]]$ stabilizer code, followed by a round of syndrome measurement and recovery (or, in the detection setting, postselection on a trivial syndrome). In an effective Pauli model with physical error probability $p$, LDD suppression factor $p_{DD}$, and recovery imperfection rate $p_{QEC}$ (or $p_{QED}$), we derive closed-form entanglement-fidelity expressions for QEC-only, LDD-only, physical DD, and the hybrid LDD+QEC protocol. The formulas are expressed via a small set of code-dependent weight enumerator polynomials, making the role of the decoder and the LDD group explicit. For ideal recovery LDD+QEC outperforms QEC-only iff the conditional fraction of un
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quantum-computingIonQ Selected for Missile Defense Agency SHIELD IDIQ Contract
IonQ Selected for Missile Defense Agency SHIELD IDIQ Contract IonQ (NYSE: IONQ) has been selected as an eligible contractor for the Missile Defense Agency (MDA) Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) indefinite-delivery/indefinite-quantity (IDIQ) contract. The SHIELD framework has a total ceiling of $151 billion and is designed to provide the warfighter with rapid, innovative capabilities through a streamlined procurement process. IonQ is one of more than 2,400 companies qualified to compete for future task orders under this multi-year vehicle. The selection leverages IonQ’s expanded portfolio, which now integrates core trapped-ion quantum computing with specialized capabilities from its subsidiary companies. These subsidiaries include Capella Space, providing all-weather synthetic aperture radar (SAR) imagery; Skyloom, specializing in high-capacity optical space-to-ground communications; and Vector Atomic, which develops quantum-based precision timing and navigation solutions for GPS-denied environments. By uniting quantum computing, networking, sensing, and security, IonQ aims to support the MDA’s mission-critical requirements for layered defense and real-time data processing. This award builds on IonQ’s established history of supporting U.S. government research and development, including previous collaborations with DARPA and the U.S. Air Force Research Laboratory (AFRL). In 2025, the company reported a world-record 99.99% two-qubit gate fidelity, a technical benchmark critical for the high-precision applications required in aerospace and national security. The forthcoming IonQ Tempo system is expected to further enhance these capabilities, providing the computational power necessary for complex logistics, cybersecurity, and missile defense simulations. For further details on the contract award and technical specifications, consult the official IonQ investor announcement here. February 23, 2026 Mohamed Abdel-Kareem2026-02-23T14:28:40-08:
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quantum-computingAWS Quantum Technologies Blog: New QGCA Outperforms Simulated Annealing on Complex Optimization Problems
Amazon Quantum Solutions Lab researchers have announced a new algorithm, the quantum-guided cluster algorithm (QGCA), that outperforms simulated annealing on complex optimization problems. Published on February 12, 2026, by Peter Eder, Aron Kerschbaumer, and colleagues, QGCA utilizes precomputed correlations from quantum optimization algorithms to guide collective spin updates, accelerating the search for effective solutions. The team demonstrated this hybrid workflow on graph instances, showing that quantum-guided clusters explore the solution space more effectively than the classical heuristic, simulated annealing. “The idea is to use quantum information to identify and flip groups of spins (clusters) with a high chance of acceptance,” the researchers explain, highlighting a practical way to leverage quantum-derived structure for challenging optimization problems with constraints. Quantum-Guided Cluster Algorithms Enhance Optimization Performance Leveraging correlations gleaned from quantum computations enhances optimization performance, according to researchers at Amazon Quantum Solutions Lab. This isn’t about building a full-scale quantum computer to solve these problems directly, but rather about using quantum algorithms as a “guide” for classical approaches, specifically a refined cluster algorithm. Many real-world challenges, from logistical scheduling to financial portfolio selection, fall into the category of combinatorial optimization – problems easily defined but notoriously difficult for conventional computers to solve due to their complex landscapes of potential solutions. The team’s innovation, the quantum-guided cluster algorithm (QGCA), tackles the limitations of traditional methods like simulated annealing, which often get trapped in local optima. Simulated annealing functions by making small, incremental changes and accepting worse solutions to escape these traps, but struggles with “rugged” landscapes. Existing cluster algorithms attempt to addres
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quantum-computingReliance Global Group Launches Scale51 with Acquisition of Quantum-Resilient Encryption Firm Enquantum
Reliance Global Group, Inc. today announced the acquisition of Enquantum Ltd., a firm specializing in quantum-resilient encryption technology, marking the first platform acquisition under Reliance’s Scale51 operating model. The move positions Reliance to capitalize on the rapidly advancing field of quantum computing and address growing vulnerabilities in current encryption standards like RSA and ECC, which underpin vital infrastructure from financial systems to government networks. Concerns are rising about “harvest now, decrypt later” attacks, prompting standards bodies like NIST to develop post-quantum cryptographic standards. “This transaction advances our strategy to acquire majority control of a company in an increasingly important sector as the industry transitions to post-quantum standards,” said Ezra Beyman, Chairman and Chief Executive Officer of Reliance Global Group. Reliance intends to build Enquantum into a core operating platform, anticipating a significant infrastructure upgrade cycle and a projected $300 billion+ annual cybersecurity spend by 2029. Reliance Global Acquires Enquantum for Post-Quantum Cryptography The accelerating advancement of quantum computing has triggered a significant move in cybersecurity, as evidenced by Reliance Global Group’s acquisition of Enquantum Ltd. This strategic purchase isn’t simply about future-proofing; it’s a response to the very real threat of “harvest now, decrypt later” attacks, where current encrypted data is stockpiled for future decryption by more powerful quantum computers. Reliance’s acquisition of Enquantum marks the first active platform investment under its Scale51 operating model, signaling a clear intention to establish a dominant position in the emerging post-quantum cryptography market. Global cybersecurity spending is already projected to surpass $300 billion annually by 2029, reflecting the growing urgency of digital risk management, and the transition to quantum-resilient encryption is poised to
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quantum-computing4colors Research & Partners Secure Funding to Tackle Aircraft Loading with Quantum Computing
A consortium led by 4colors Research has secured funding from the National Quantum Computing Centre (NQCC) to tackle a critical challenge in aerospace logistics. Today, February 23, 2026, 4colors Research announced the award of an NQCC SparQ Grant under the 2025 STFC Cross Cluster Proof of Concept call, supporting a project focused on optimising aircraft cargo loading using a hybrid classical-quantum computing approach. The collaborative effort, which includes Airbus, DNV, NQCC, and ORCA Computing, aims to improve fuel efficiency, turnaround times, and fleet capacity. “Through the SparQ programme, NQCC is supporting important, industry-led projects that explore how quantum computing can deliver real-world impact,” commented Dr Rob Whiteman, Quantum Readiness Delivery Lead, NQCC. This project seeks to harness quantum power for practical and sustainable benefits within the industry. HLNQCC SparQ Grant Fuels Aerospace Optimisation Project The project, titled “Quantum-Accelerated Mixed-Integer Optimisation for Aircraft Loading,” directly addresses the computationally intensive challenge of optimising cargo placement for maximum efficiency. Even incremental improvements to this process promise significant reductions in fuel burn and CO2 emissions, alongside faster aircraft turnaround times. This isn’t merely theoretical exploration; the project aims to demonstrate how hybrid classical–quantum computing can solve a real-world, high-impact problem for airlines and cargo operators. 4colors Research, winner of the 2024 Airbus × BMW Quantum Computing Challenge, brings expertise in complex optimisation algorithms to the collaboration. “The NQCC SparQ grant brings together partners with complementary expertise,” said Dr Marcin Kaminski, Founder and CEO of 4colors Research, “We are excited to collaborate on this use case and, more broadly, to push forward quantum solutions for combinatorial optimisation.” ORCA Computing will contribute its photonic quantum systems, believing tha
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quantum-computingNQFF and Qolab Collaborate on Wafer-Scale Cryogenic Filters for Quantum Scaling
NQFF and Qolab Collaborate on Wafer-Scale Cryogenic Filters for Quantum Scaling The National Quantum Federated Foundry (NQFF) and Qolab have entered into a research collaboration to develop integrated cryogenic low-pass filters for quantum processors. The project aims to resolve hardware bottlenecks in scaling superconducting and spin-qubit systems by transitioning from discrete, bulky filter components to semiconductor-wafer-scale manufacturing. These filters are essential for shielding qubits from high-frequency microwave noise, which otherwise induces decoherence at millikelvin temperatures. The technical focus involves leveraging NQFF’s nanofabrication capabilities and Qolab’s systems expertise to produce filters directly on silicon wafers. This methodology allows for denser integration with qubit circuits and reduces the physical footprint within dilution refrigerators, facilitating the transition from dozens to millions of qubits. The resulting hardware is intended for deployment in quantum systems at the University of California, Los Angeles (UCLA). The National Quantum Office (NQO), hosted by the Agency for Science, Technology and Research (A*STAR), facilitates the partnership as part of Singapore’s National Quantum Strategy. NQFF utilizes a federated network including the A*STAR Institute of Materials Research and Engineering (IMRE), the A*STAR Institute of Microelectronics (IME), and the National University of Singapore (NUS). Qolab, co-founded by 2025 Physics Nobel Laureate Professor John Martinis, focuses on the development of utility-scale, fault-tolerant superconducting quantum computers. For further technical details on the collaboration, consult the official media release here. February 23, 2026 Mohamed Abdel-Kareem2026-02-23T11:11:38-08:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.
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IQM to Become First Publicly Listed European Quantum Company via $1.8B Merger
IQM Finland Oy will become the first publicly listed European quantum computing company following a definitive merger agreement announced today, February 23, 2026, with Real Asset Acquisition Corp. The transaction values IQM at a pre-money equity valuation of approximately USD 1.8 billion and is expected to provide the company with a cash position exceeding USD 450 million. Already a global commercial leader with 21 systems sold to 13 customers—including four of the top ten supercomputing centers—IQM boasts a vertically integrated business model, from chip design to data centers. “We built IQM from the beginning for one purpose — to put working quantum computers in the hands of the people who will use them to solve real problems,” said Jan Goetz, Co-Founder and Chief Executive Officer of IQM, signaling a future of accelerated technology and commercial development in the field of fault-tolerant quantum computing. IQM and Real Asset Acquisition Corp. Merger Details Today, a significant step towards commercial quantum reality has been taken as IQM Finland Oy and Real Asset Acquisition Corp. announced a definitive merger agreement. stock exchange and a potential dual listing on the Helsinki stock exchange. The company currently boasts a strong track record, having sold 21 quantum systems to 13 customers, including four of the top ten supercomputing centers globally. IQM distinguishes itself through a vertically integrated business model, controlling the entire process from chip design and software development to fabrication, assembly, and data centers. This allows for accelerated innovation and delivery of best-in-class quantum computing solutions. Following the transaction, IQM’s cash position is projected to exceed USD 450 million, fueled by approximately USD 175 million from RAAQ’s trust account, USD 134 million from a PIPE financing, and existing cash reserves of USD 172 million. Jan Goetz, Co-Founder and Chief Executive Officer, IQM, stated that quantum computing i
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quantum-computingGuide Labs debuts a new kind of interpretable LLM
The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles with sycophancy, or run-of-the-mill hallucinations, plumbing through a neural network with billions of parameters isn’t easy. Guide Labs, a San Francisco start-up founded by CEO Julius Adebayo and chief science officer Aya Abdelsalam Ismail, is offering an answer to that problem today. On Monday, the company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its actions easily interpretable: Every token produced by the model can be traced back to its origins in the LLM’s training data. That can as a simple as determining the reference materials for facts cited by the model, or as complex as understanding the model’s understanding of humor or gender. “If I have a trillion ways to encode gender, and I encode it in 1 billion of the 1 trillion things that I have, you have to make sure you find all those 1 billion things that I’ve encoded, and then you have to be able to reliably turn that on, turn them off,” Adebayo told TechCrunch. “You can do it with current models, but it’s very fragile … It’s sort of one of the holy grail questions.” Adebayo began this work while earning his PhD at MIT, co-authoring a widely cited 2018 paper that showed existing methods of understanding deep learning models were not reliable. That work ultimately led to the creation of a new way of building LLMs: Developers insert a concept layer in the model that buckets data into traceable categories. This requires more up front data annotation, but by using other AI models to help, they were able to train this model as their largest proof of concept yet. “The kind of interpretability people do is…neuroscience on a model, and we flip that,” Adebayo said. “What we do is actually engineer the model from the ground up so that you don’t need to do neurosc
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quantum-computingIQM Quantum Computers to go public via SPAC merger with Real Asset Acquisition Corp. - Data Center Dynamics
IQM Quantum Computers to go public via SPAC merger with Real Asset Acquisition Corp. Data Center Dynamics
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quantum-computingFinnish quantum unicorn IQM set to go public
Finnish unicorn IQM today announced plans to go public via a special purpose acquisition company (SPAC), valuing the company at approximately $1.8 billion. The move will see IQM join the growing cohort of quantum computing companies listed on U.S. stock markets. Founded in 2018 as a spinout from Finland’s Aalto University and VTT Technical Research, IQM commercializes both on-premises full-stack quantum computers and a cloud platform to access its systems, with clients including academic and industrial labs around the world. Public quantum companies have seen their stocks surge in recent months, fueled by signals from governments and Big Tech that the “quantum advantage” over regular supercomputers may soon be within reach. This has led believers to double down, with the conviction that the field will soon have lucrative real-life applications in life sciences, new materials, and more. Going public will provide IQM with an extended runway to support its commercial plans. The company reported $35 million in 2025 revenue and over $100 million in bookings. With the close of this transaction, its cash position will exceed $450 million. But the company could also see its market cap trend upwards or downwards, depending on how investor appetite for quantum stocks has evolved when it begins trading. With industrial applications still years away, questions remain as to whether the current quantum frenzy will last. These questions arise to an even greater extent because most of these companies went public via SPACs — a route that is faster than a traditional IPO, but that peaked in 2021 and left many investors nursing losses in its wake. Despite this sour aftertaste, quantum SPACs are back in fashion. Earlier this month, neutral-atom quantum company Infleqtion jumped in its debut on the New York Stock Exchange (NYSE) via a SPAC, with Canadian firm Xanadu Quantum Technologies planning to go public via a SPAC on the Nasdaq by the end of March. Now, IQM is following
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quantum-computingIQM to List on U.S. Exchange via Merger with Real Asset Acquisition Corp. - Quantum Computing Report
IQM to List on U.S. Exchange via Merger with Real Asset Acquisition Corp. Quantum Computing Report
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quantum-computingIQM to List on U.S. Exchange via Merger with Real Asset Acquisition Corp.
IQM to List on U.S. Exchange via Merger with Real Asset Acquisition Corp. IQM Finland Oy and Real Asset Acquisition Corp. (Nasdaq: RAAQ) have entered into a definitive business combination agreement, positioning IQM as the first European quantum computing company to list on a U.S. stock exchange. The transaction values IQM at a pre-money equity valuation of approximately USD 1.8 billion. Upon closing, the combined entity is expected to hold a cash position exceeding USD 450 million, including USD 175 million from RAAQ’s trust account, USD 134 million from PIPE financing, and USD 172 million in existing cash reserves. The company operates a vertically integrated model for superconducting quantum computers, maintaining an internal chip fabrication facility, assembly line, and quantum data center. For the fiscal year 2025, IQM reported unaudited revenue of at least USD 35 million, with bookings and visibility exceeding USD 100 million. Commercially, the company has sold 21 systems to 13 customers, including four of the world’s top ten supercomputing centers. Technical benchmarks include achieving >99.9% fidelity for single-qubit and two-qubit gates and readouts, with the next-generation Halocene system currently in development. IQM’s hardware is integrated into high-performance computing (HPC) and enterprise platforms through partnerships with NVIDIA, Hewlett Packard Enterprise, and AWS. The company is headquartered in Espoo, Finland, and is considering a dual listing on the Helsinki stock exchange following the completion of the U.S. transaction. The proceeds are intended to accelerate the development of fault-tolerant quantum architectures and expand the delivery of on-premises systems to research and industrial stakeholders. For further financial and technical details, consult the official press release here, explore IQM’s hardware roadmap here, or view the RAAQ investor relations portal here. February 23, 2026 Mohamed Abdel-Kareem2026-02-23T07:42:32-08:00 Leave
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quantum-computingXanadu Nominates Four Experienced Global Business Leaders to its Board of Directors
Insider Brief PRESS RELEASE — Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, and Crane Harbor Acquisition Corp. (“Crane Harbor”) (Nasdaq: CHAC), a publicly traded special purpose acquisition company, today announced the proposed nomination of: as directors of Xanadu Quantum Technologies Limited (“NewCo”), the post-closing public company, in connection with the previously […]
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quantum-computingQuantum Computing News: IQM’s $1.8 Billion SPAC Leads Sector Shift as IBM Faces Court Delay and Coinbase Flags Crypto Risk - TipRanks
Quantum Computing News: IQM’s $1.8 Billion SPAC Leads Sector Shift as IBM Faces Court Delay and Coinbase Flags Crypto Risk TipRanks
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quantum-computingGeneralized group designs: constructing novel unitary 2-, 3- and 4-designs
AbstractUnitary designs are essential tools in several quantum information protocols. Similarly to other design concepts, unitary designs are mainly used to facilitate averaging over a relevant space, in this case, the unitary group $\mathrm{U}(d)$. While it is known that exact unitary $t$-designs exist for any degree $t$ and dimension $d$, the most appealing type of designs, group designs (in which the elements of the design form a group), can provide at most $3$-designs. Moreover, even group $2$-designs can exist only in limited dimensions. In this paper, we present novel construction methods for creating exact generalized group designs based on the representation theory of the unitary group and its finite subgroups that overcome the $4$-design-barrier of unitary group designs. Furthermore, a construction is presented for creating generalized group $2$-designs in arbitrary dimensions.Featured image: Simple illustration of the general procedure for obtaining generalized unitary group $t$-designs in the case of $t=2$. Starting with an arbitrary operator $M$, we first perform a twirling operation with a finite group $H$, where $H$ acts irreducibly on the symmetric subspace. Secondly, we apply twirling by the finite group $K$, which acts irreducibly on the antisymmetric subspace. Applying the two operations together yields a unitary $2$-design. The generalization of this procedure can be used to obtain higher-degree unitary designs.Presentation Generalised group designs overcoming the 3 design barrier and constructing novel 2 At QIP2024 Popular summaryIn this paper, we introduce a new framework for constructing exact unitary designs, which are finite sets of unitaries used to mimic random quantum operations. Although these designs are essential for testing quantum hardware, a fundamental constraint known as the $4$-design barrier for group designs limits the availability of easy-to-construct designs. (The $4$-design barrier states that in dimensions greater than $2$,
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