"Patience is a Super Power" - "The Money is in the waiting"
Showing posts with label investors. Show all posts
Showing posts with label investors. Show all posts

Friday, March 21, 2025

Quantum Computing Leadership: Here is a "Deep Dive" look at IONQ 10 years after it was founded in 2015

 

900 patents in Quantum computing!

IonQ Deep Dive

Company Overview

Founding and Background: IonQ was founded in 2015 as a spin-out from academic research at the University of Maryland and Duke University​

. Its co-founders are Christopher Monroe and Jungsang Kim – both renowned experts in quantum information science. Monroe, a UMD physics professor (now also affiliated with Duke), is a pioneer of trapped-ion quantum computing, having led early experiments at NIST with Nobel laureate David Wineland that demonstrated the first controllable quantum bits and logic gates​. Kim is a professor at Duke University specializing in scalable quantum computing and communication hardware; he collaborated with Monroe on ion-trap architectures through large research initiatives (e.g. IARPA projects) before they commercialized their work​. With seed backing and technology licensed from their universities, Monroe and Kim set out to take trapped-ion quantum computers “out of the lab and into the market”​.

Early Development: IonQ received $2 million in seed funding from New Enterprise Associates (NEA) at its founding in 2015​

. Dr. David Moehring, a former IARPA quantum program manager, joined as the first CEO in 2016 to help translate the founders’ research into a viable product​. By 2017, IonQ raised an additional $20 million in venture funding led by GV (Google Ventures), with participation from NEA and Amazon Web Services (AWS). This financing enabled IonQ to build its first two quantum computers, which at the time achieved the world’s highest accuracy among quantum systems​. In 2018, the company began offering early access to its trapped-ion quantum processors via a cloud API and developed software tools for programming quantum circuits, laying the groundwork for broader cloud deployment​.

Key Milestones: IonQ’s growth has been marked by several significant milestones:

  • 2019 – New Leadership and Series B: In May 2019, former Amazon executive Peter Chapman was appointed CEO to lead commercialization efforts​

    . Later that year, IonQ secured a $55 million funding round led by Samsung’s Catalyst Fund and Mubadala Capital, bringing total funding to $77M​. This round included new investors like Airbus Ventures and Hewlett Packard Enterprise’s Pathfinder, alongside continued support from GV, NEA, and Amazon​. IonQ also partnered with cloud providers: in 2019 it announced integrations to make its quantum hardware available on Microsoft Azure and expanded its presence on AWS, enabling developers worldwide to access IonQ systems via the cloud.

  • 2020 – Technological Advances: IonQ continued to improve its hardware, developing next-generation trapped-ion systems with increasing qubit counts and fidelity. The company added Google Cloud Platform to its roster of cloud partners in 2020, achieving availability on all three major cloud services​

    . It also formed research collaborations with leading institutions and enterprises to explore quantum applications. In mid-2020, strategic investors Lockheed Martin, Robert Bosch Venture Capital (RBVC), and new deep-tech fund Cambium contributed additional funding, extending IonQ’s Series B and bringing total capital raised to $84M​. This infusion coincided with the appointment of prominent advisors (including Nobel laureate David Wineland) to guide IonQ’s R&D​.

  • 2021 – Public Listing: On October 1, 2021, IonQ became the world’s first publicly traded pure-play quantum computing company. It went public via a merger with dMY Technology Group III, a special-purpose acquisition company (SPAC), and began trading on the NYSE under ticker “IONQ”​

    . The transaction provided IonQ with roughly $636 million in gross proceeds to fuel its growth​. Around this time, IonQ had ~60 employees and nominal revenue, but a robust technological roadmap aiming for commercial quantum advantage by the late 2020s​.

  • 2022–2024 – Expansion and Innovation: With public funding, IonQ accelerated development of its quantum systems. It introduced systems like IonQ Aria and IonQ Forte, steadily improving the “algorithmic qubit” count (a metric of effective computational qubits) – by 2024, IonQ’s latest machines boasted 36 algorithmic qubits, a leading performance in the industry​

    . IonQ also expanded geographically, opening a new 65,000 sq ft R&D and manufacturing facility in Bothell, Washington (near Seattle) in early 2024 – billed as the first dedicated quantum computing factory in the U.S.​. Additionally, the company broadened its scope into quantum networking: it acquired quantum communications firms (e.g. Qubitekk) and agreed to purchase a controlling stake in ID Quantique, moves aimed at integrating quantum networking technology with its computers​. These strides, along with industry accolades, underscore IonQ’s position as a leader in trapped-ion quantum computing.

Investment Overview

IonQ’s investor base includes a mix of top-tier venture capital firms, large technology corporations, institutional investors, and notable individual backers. Below is a summary of major investors, the timing/round of their investment, and their strategic role:

Early-Stage and Venture Funding

  1. New Enterprise Associates (NEA)

    • Amount: $2 million
    • Date: 2015 (Seed Round)
  2. GV (Google Ventures)

    • Amount: Part of $20 million
    • Date: 2017 (Series A/B)
  3. Amazon Web Services (AWS)

    • Amount: Part of $20 million
    • Date: 2017 (Series A/B)
  4. Osage University Partners

    • Amount: Undisclosed
    • Date: Pre-2019
  5. ACME Capital

    • Amount: Part of $55 million
    • Date: 2019 (Series B)
  6. Airbus Ventures

    • Amount: Part of $55 million
    • Date: 2019 (Series B)
  7. Hewlett Packard Pathfinder (HPE)

    • Amount: Part of $55 million
    • Date: 2019 (Series B)
  8. Tao Capital Partners

    • Amount: Part of $55 million
    • Date: 2019 (Series B)
  9. Samsung Catalyst Fund

    • Amount: Co-led $55 million
    • Date: 2019 (Series B)
  10. Mubadala Capital

    • Amount: Co-led $55 million
    • Date: 2019 (Series B)
  11. Correlation Ventures

    • Amount: Part of $55 million
    • Date: 2019 (Series B)

Series B Extension (2020)

  1. Lockheed Martin

    • Amount: Undisclosed
    • Date: 2020 (Series B Extension)
  2. Robert Bosch Venture Capital (RBVC)

    • Amount: Undisclosed
    • Date: 2020 (Series B Extension)
  3. Cambium

    • Amount: Undisclosed
    • Date: 2020 (Series B Extension)

SPAC & PIPE (2021)

  1. dMY Technology Group III (SPAC Sponsor)

    • Amount: Part of ~$636 million total raised
    • Date: 2021 (SPAC Merger)
  2. Fidelity

    • Amount: Part of $350 million PIPE
    • Date: 2021
  3. Silver Lake

    • Amount: Part of $350 million PIPE
    • Date: 2021
  4. Hyundai Motor Company

    • Amount: Part of $350 million PIPE
    • Date: 2021
  5. Kia Corporation

    • Amount: Part of $350 million PIPE
    • Date: 2021
  6. Breakthrough Energy Ventures (Bill Gates)

    • Amount: Part of $350 million PIPE
    • Date: 2021
  7. MSD Partners (Michael Dell)

    • Amount: Part of $350 million PIPE
    • Date: 2021
  8. TIME Ventures (Marc Benioff)

    • Amount: Part of $350 million PIPE
    • Date: 2021

Funding Summary: Prior to going public, IonQ raised roughly $84 million in venture funding through 2020​

. The 2021 SPAC merger (including the PIPE) provided an additional $650+ million in gross proceeds​. This strong capitalization has given IonQ one of the largest war-chests in the quantum computing sector, to be deployed on technology development, hiring, and strategic acquisitions. The diversity of IonQ’s investors – spanning top VC firms, cloud and hardware giants (Amazon, Google, Samsung, HPE), industry end-users (automakers), and world-renowned entrepreneurs – reflects a broad belief in IonQ’s approach. Many of these investors also play strategic roles: for example, corporate backers have become early customers or R&D partners, and several venture investors hold board seats or advisory positions to steer IonQ’s growth.

Nvidia Collaboration Potential

Current Partnerships and Projects: As of today, IonQ and NVIDIA have not announced a formal exclusive partnership or joint venture; however, there is clear ongoing collaboration on hybrid quantum-classical computing initiatives. IonQ has actively integrated its quantum hardware with Nvidia’s software and hardware stack in order to accelerate real-world applications. Notably, IonQ has supported NVIDIA’s CUDA-Q platform (Nvidia’s open-source hybrid quantum-classical computing toolkit) since 2023​

. In November 2024, IonQ demonstrated a breakthrough end-to-end workflow that combined an IonQ Forte quantum computer with Nvidia A100 GPUs using CUDA-Q​. This demo, presented at the SC24 supercomputing conference, showed how an IonQ quantum processor could work in tandem with Nvidia GPU-accelerated classical processing to calculate molecular electronic structures (a task relevant to drug discovery and chemistry)​. The integration leveraged IonQ’s quantum hardware alongside Nvidia’s GPU infrastructure both in the cloud and on-premises, highlighting a seamless hybrid solution. IonQ’s team emphasized that this achievement underscored their commitment to developing quantum-accelerated applications for commercial use, made possible by the CUDA-Q integration​.

IonQ’s engagement with Nvidia extends to industry events and cooperative development. In March 2024, NVIDIA invited IonQ to feature in its first-ever “Quantum Day” at the GPU Technology Conference (GTC)

. IonQ’s Executive Chair Peter Chapman joined Nvidia CEO Jensen Huang on stage for a panel discussing the state of quantum computing and its intersection with classical computing​. During GTC, IonQ (along with partners like AWS and Ansys) showcased a hybrid quantum workflow for drug design that utilized Nvidia’s CUDA-Q platform on AWS Braket with GPU-accelerated post-processing​. This live demonstration illustrated the practical synergy between IonQ’s quantum processors and Nvidia’s AI computing capabilities. While these collaborations were presented as technology demonstrations rather than long-term contracts, they signal a deep alignment – IonQ’s hardware was effectively plugged into Nvidia’s compute ecosystem to tackle complex simulations, suggesting that the two companies’ products can complement each other in enterprise solutions.

Potential Partnership Indicators: The close technical integration and public cooperation between IonQ and Nvidia have fueled speculation that a more formal partnership could be on the horizon. Industry observers have taken note that IonQ appears to have an “inside track” with Nvidia’s quantum program. For example, IonQ’s stock surged over 10% in late 2024 after news of its CUDA-Q integration broke, as investors grew excited about the prospect of a deeper Nvidia collaboration​

. Analysts noted that Nvidia’s increasing interest in quantum computing (highlighted by its dedicated Quantum GTC sessions) could translate into partnerships with leading quantum hardware firms, IonQ being a prime candidate​. In fact, Nvidia’s Quantum Day featured all three public quantum hardware companies (IonQ, Rigetti, D-Wave), but IonQ’s strong showing (and its technical results with Nvidia’s platform) set it apart​. There is hope in the tech community that Nvidia might incorporate IonQ’s quantum systems more directly into its offerings – for instance, by jointly developing a hybrid quantum-classical supercomputing service or even through Nvidia making a strategic investment in IonQ. So far, neither company has announced such a deal, and Nvidia’s CEO has sometimes tempered expectations (Jensen Huang commented that useful quantum computers could be 15+ years away, which briefly depressed IonQ’s stock)​. Still, multiple signs point to a growing partnership:

  • Technical Synergy: IonQ’s trapped-ion technology, known for high fidelity, could benefit from Nvidia’s prowess in control electronics, GPU-based error mitigation, and AI algorithms to run on quantum hardware. Both companies are focused on heterogeneous computing (combining different processors) to solve advanced problems. Nvidia’s CUDA-Q (also referred to as QODA in some contexts) is explicitly designed to orchestrate CPUs, GPUs, and QPUs (quantum processing units) together​

    . IonQ was among the first quantum hardware providers to fully integrate with this stack, giving it a head start in hybrid algorithm development.

  • Shared Ecosystem and Investors: IonQ and Nvidia already share common touchpoints in the tech ecosystem. For example, IonQ’s cloud deployments on AWS and Azure mean its systems can work in Nvidia-powered data centers (since AWS/Azure offer Nvidia GPUs for classical computing). IonQ’s investors and partners include several companies that also collaborate with Nvidia. Notably, Hyundai and Kia, key IonQ stakeholders, are deep partners with Nvidia in the autonomous driving and AI space (Nvidia supplies automotive AI chips to both automakers). These overlapping relationships could facilitate a three-way collaboration in areas like optimizing electric vehicle batteries (Hyundai’s project with IonQ) using Nvidia’s AI simulation tools and IonQ’s quantum algorithms. Furthermore, the presence of high-profile investors like Bill Gates (via BEV) and Michael Dell in IonQ’s camp might add connections – Gates has publicly discussed quantum computing’s timeline in contrast to Nvidia’s CEO​

    , and Dell’s own enterprise computing business closely watches developments in hybrid computing. Such networks increase the likelihood of IonQ being on Nvidia’s radar for any quantum-related ventures.

  • Leadership Engagement: The direct involvement of IonQ’s leadership in Nvidia’s events (and vice versa) suggests a strong rapport. IonQ’s Peter Chapman has called for cooperation between the classical computing giants and quantum startups, rather than competition, indicating IonQ’s openness to partnering with companies like Nvidia for mutual benefit​

    . On Nvidia’s side, hosting IonQ at a headline event signals respect for IonQ’s capabilities. Both companies share a vision of hybrid quantum-classical computing as the path forward in the near term – Nvidia’s CTO has spoken about using GPUs to augment quantum computers, which aligns perfectly with IonQ’s approach.

Outlook: In summary, while no definitive partnership agreement has been announced, IonQ is well-positioned to collaborate closely with Nvidia. It has already demonstrated compatibility with Nvidia’s hardware/software, and the two firms are publicly exploring use cases together. If Nvidia decides to pursue a deeper integration of quantum acceleration into its platforms, IonQ’s track record and relationships put it at the front of the line to be an “accelerator” partner – analogous to how Nvidia works with CPU companies or cloud providers. This could take the form of joint research projects, a formal OEM agreement to offer IonQ quantum systems alongside Nvidia supercomputers, or co-developed cloud services blending IonQ QPUs with Nvidia GPUs for AI/quantum applications. Given the strategic value, some have even speculated about a future Nvidia investment in or acquisition of a quantum company like IonQ, though IonQ’s management has indicated they aim to remain independent and grow into an industry pillar themselves​

. What is clear is that IonQ’s and Nvidia’s interests are aligned in advancing hybrid computing – IonQ brings state-of-the-art quantum hardware, and Nvidia brings the leading classical AI hardware – and together they could tackle problems neither could solve alone. For now, IonQ’s “inside track” comes from being an early and active collaborator in Nvidia’s quantum efforts, which positions it strongly if/when the two decide to deepen their partnership. IonQ’s CEO summed it up: rather than viewing each other as rivals, classical and quantum computing companies “have more commonality than most people think”​ – and IonQ’s work with Nvidia so far exemplifies that common vision.

Sources: The information in this report is drawn from up-to-date public sources, including IonQ’s official announcements and filings, reputable news outlets, and industry analyses. Key references have been cited in the text, and they include IonQ’s press releases (for funding and technical milestones), regulatory filings, university reports, and coverage by publications like ZDNet, Yahoo Finance, Barron’s, and others. These citations substantiate the factual statements about IonQ’s history, investors, and collaborations (for example, IonQ’s 2019 funding round details from GlobeNewswire​

, the 2021 SPAC PIPE investor list from ZDNet​, and the IonQ-Nvidia hybrid demonstration from IonQ’s 2024 press release​). This ensures that the deep dive is based on verifiable information and reflects the latest developments regarding IonQ and its potential collaboration with Nvidia.

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Financials:

As of March 2025, IonQ has significantly expanded its patent portfolio and reported notable financial metrics:

Patent Portfolio:

Financial Position:

  • Revenue: For the fiscal year ending December 31, 2024, IonQ reported total revenue of $43.1 million, reflecting a 95% increase compared to the prior year.Barron's

  • Net Loss: The company recorded a net loss of $220 million for the fourth quarter of 2024, widening from a loss of $41.9 million in the same period the previous year.Barron's

  • Cash Reserves: As of December 31, 2024, IonQ's cash and investments totaled $363.8 million, down from $455.9 million at the end of 2023.Barron's

These figures underscore IonQ's commitment to strengthening its intellectual property assets while navigating the financial challenges typical of emerging technology companies.

Did we just witness the first actual building blocks of a future Quantum Internet as IONQ acquires ID Quantique?


Tuesday, March 11, 2025

Nvidia's interest and investment in Recursion Pharmaceuticals (RXRX) in 2025 could be a game changer for this small-cap!

 

 


Recursion Pharmaceuticals (NASDAQ: RXRX) is a clinical-stage biotechnology company that integrates advanced technologies across biology, chemistry, automation, data science, and engineering to decode complex biological systems. Here's an updated overview of the company's financials, partnerships, technological advancements, product pipeline, and other pertinent information:

Financial Overview

  • Cash Position: As of December 31, 2024, Recursion reported cash, cash equivalents, and restricted cash totaling $603.0 million, up from $401.4 million on the same date in 2023.ir.recursion.com

  • Revenue: The company achieved total revenue of $83 million for the fiscal year 2024, reflecting a strong financial performance.tipranks.com

  • Research and Development Expenses: R&D expenses were $74.6 million for Q3 2024, up from $70.0 million in Q3 2023, indicating continued investment in platform expansion and upgrades.globenewswire.com

  • Net Loss: The net loss for Q3 2024 was $95.8 million, compared to $93.0 million in Q3 2023, reflecting ongoing investments in research and development.globenewswire.com

Strategic Partnerships

  • NVIDIA: In July 2023, NVIDIA invested $50 million in Recursion to accelerate the development of AI foundation models for biology and chemistry. This collaboration leverages Recursion's extensive proprietary dataset and NVIDIA's cloud services, including the DGX™ Cloud and BioNeMo platform, to enhance drug discovery capabilities.en.wikipedia.org

  • Roche and Genentech: In December 2021, Recursion entered into a partnership with Roche and its subsidiary Genentech, potentially worth up to $12 billion, to advance therapies in neuroscience and other areas.en.wikipedia.org

  • Bayer: The company has a strategic collaboration with Bayer focusing on oncology research, building upon a previous partnership targeting fibrotic diseases.en.wikipedia.org

  • Exscientia Acquisition: In August 2024, Recursion acquired UK-based biotechnology company Exscientia for $688 million, adding a technology-enabled clinical pipeline and precision chemistry capabilities.globenewswire.com+1en.wikipedia.org+1

Technological Infrastructure

  • Recursion OS: The company's proprietary operating system integrates wet-lab and dry-lab biology experiments, enabling the generation of massive datasets to map and navigate complex biological relationships.sec.gov

  • BioHive-2 Supercomputer: In May 2024, Recursion completed BioHive-2, an NVIDIA-powered AI supercomputer comprising 63 DGX H100 systems with a total of 504 NVIDIA H100 Tensor Core GPUs. Ranked #35 in the TOP500 list of the world's most powerful supercomputers, BioHive-2 significantly enhances Recursion's computational capabilities, facilitating more efficient training of large-scale AI models.

Product Pipeline and Clinical Developments

  • REC-994: This experimental drug targets cerebral cavernous malformation (CCM), a rare brain-related condition. In a mid-stage study reported in September 2024, REC-994 demonstrated safety and tolerability. MRI-based data indicated that the highest dose reduced the number of lesions. However, improvements reported by patients or doctors were not observed at the end of the 12-month treatment period. Recursion plans to meet with the U.S. Food and Drug Administration to discuss further clinical studies.Reuters

  • Clinical Trial Outlook: Recursion anticipates seven clinical trial readouts over the next 18 months for its programs and approximately ten readouts collectively over the same period, including those from the Exscientia acquisition.globenewswire.com+1en.wikipedia.org+1

Intellectual Property

  • Patent Portfolio: As of February 2025, Recursion holds a total of 149 patents globally, with 58 granted. Notably, over 78% of these patents remain active. The majority are filed in the United States, followed by Europe and Canada.

Conclusion

Recursion Pharmaceuticals continues to leverage its robust financial position, strategic partnerships, and advanced technological infrastructure to pioneer AI-driven drug discovery and development. The company's expanding patent portfolio and active clinical pipeline underscore its commitment to transforming the pharmaceutical industry through innovative approaches to complex diseases.

Nvidia-backed Recursion's shares fall on mixed data for rare disorder drug
FaviconReuters

Thursday, December 19, 2024

Advancing the use of Logical qubits as investor interest in quantum computing companies heats up!

 Investment Report: Advancing Logical Qubits - Google Quantum AI, IBM, and Quantinuum

1. Google Quantum AI

Overview

Google Quantum AI is a division of Alphabet Inc., the publicly traded parent company listed on the NASDAQ under the ticker GOOGL. Google leads in quantum computing breakthroughs, including error-corrected logical qubits.

Financials

  • Market Cap: ~$1.8 trillion (as of December 2024).

  • Annual Revenue: ~$300 billion.

  • Quantum Division Revenue: Not separately disclosed but part of Alphabet’s “Other Bets.”

  • Stock Price: Approximately $135/share (fluctuates based on market conditions).

Technology Advancements

  • Google’s Willow Quantum Chip demonstrated exponential error reduction using logical qubits.

  • Achieved quantum supremacy with computations far beyond classical capabilities.

Clients and Investors

  • Clients: Governments, academic institutions, and corporations engaged in quantum research.

  • Investors: Public shareholders of Alphabet Inc.

Collaborations and Partnerships

  • Collaborations with NASA and academic institutions.

  • Partnerships with private quantum startups for integration into Google’s cloud services.

How to Invest

Investors can buy Alphabet shares on the NASDAQ.


2. IBM Quantum

Overview

IBM Quantum is a division of IBM Corporation, a publicly traded company listed on the NYSE under the ticker IBM. The company is a pioneer in quantum computing, with a roadmap targeting fault-tolerant logical qubits.

Financials

  • Market Cap: ~$120 billion (as of December 2024)

  • Annual Revenue: ~$60 billion

  • Quantum Division Revenue: Estimated in the hundreds of millions but growing rapidly.

  • Stock Price: Approximately $150/share (fluctuates based on market conditions).

Technology Advancements

  • IBM’s Quantum System Two focuses on scalability and fault-tolerant logical qubits.

  • Advanced surface codes enable robust error correction.

  • Aims to scale to thousands of logical qubits by the 2030s.

Clients and Investors

  • Clients: ExxonMobil, Daimler, JP Morgan Chase, and various academic institutions.

  • Investors: Public shareholders of IBM.

Collaborations and Partnerships

  • Partnerships with major universities for quantum research.

  • Collaborations with enterprises like Samsung and Boehringer Ingelheim for specific quantum applications.

How to Invest

Investors can buy IBM shares through major stock exchanges like the NYSE.


3. Quantinuum

Overview

Quantinuum is a privately held company formed by the merger of Honeywell Quantum Solutions and Cambridge Quantum. It focuses on trapped-ion technology for error correction and logical qubits.

Financials

  • Ownership: Jointly owned by Honeywell International (majority stake) and private investors.

  • Revenue: Estimated in the tens of millions, primarily from enterprise and research clients.

  • Investment Opportunities: Not publicly traded; potential investments could come through Honeywell or future private funding rounds.

Technology Advancements

  • Trapped-ion systems provide high fidelity and stability for logical qubits.

  • Integrates quantum software solutions with hardware for seamless application.

Clients and Investors

  • Clients: Pharmaceutical companies, national defense agencies, and academic research institutions.

  • Investors: Honeywell International and venture capital firms.

Collaborations and Partnerships

  • Strategic partnerships with Microsoft Azure and other cloud providers.

  • Collaborations with academic institutions and private sector research organizations.

How to Invest

Indirect investment opportunities exist by purchasing shares of Honeywell International (ticker HON) or by participating in future funding rounds if Quantinuum goes public.


Institutional investors 

hold significant positions in companies advancing logical qubit technology, such as Alphabet Inc. (Google's parent company), IBM, and Honeywell International. Below is an overview of the major institutional stakeholders in these companies:

1. Alphabet Inc. (Ticker: GOOGL)

  • Vanguard Group Inc.: Approximately 7.5% ownership, making it one of the largest shareholders.

  • BlackRock Inc.: Holds about 6.4% of Alphabet's shares.

  • FMR LLC (Fidelity Management & Research): Owns around 4.5% of the company.

  • State Street Corporation: Maintains a stake of approximately 3.5%.

  • Geode Capital Management LLC: Holds about 1.8% of Alphabet's shares.

These institutional investors collectively own a substantial portion of Alphabet, reflecting strong confidence in the company's technological advancements and market position.

2. IBM (Ticker: IBM)

  • Vanguard Group Inc.: The largest shareholder, owning approximately 9.77% of IBM's shares.

  • BlackRock Inc.: Holds about 8% of the company's shares.

  • State Street Corporation: Owns roughly 5.9% of IBM.

  • Geode Capital Management LLC: Maintains a stake of approximately 1.6%.

  • Northern Trust Corporation: Holds about 1.3% of IBM's shares.

These institutional holdings indicate a strong institutional interest in IBM's ongoing developments in quantum computing and other technologies.

3. Honeywell International Inc. (Ticker: HON)

  • Vanguard Group Inc.: The largest shareholder, with approximately 9.44% ownership.

  • BlackRock Inc.: Holds about 7.2% of Honeywell's shares.

  • State Street Corporation: Owns roughly 4.8% of the company.

  • Wellington Management Group LLP: Maintains a stake of approximately 2.7%.

  • Geode Capital Management LLC: Holds about 2.2% of Honeywell's shares.

These institutional investors play a significant role in Honeywell's ownership structure, especially as the company explores strategic alternatives to enhance shareholder value.

It's noteworthy that Vanguard Group Inc. and BlackRock Inc. are prominent institutional investors across all three companies, reflecting their broad investment strategies in leading technology and industrial firms.

Please note that ownership percentages are approximate and based on the latest available data as of December 2024. Institutional holdings are subject to change due to ongoing trading activities and portfolio adjustments.

Conclusion

These three companies are leading the charge in advancing logical qubit technology, each with unique strengths and approaches:

  • Google Quantum AI is setting performance benchmarks with its cutting-edge quantum chips.

  • IBM focuses on scalability and enterprise-grade quantum systems.

  • Quantinuum leverages the advantages of trapped-ion technology for stable and high-fidelity qubits.

Investors can directly invest in Alphabet or IBM through public markets, while exposure to Quantinuum is currently limited to indirect methods via Honeywell or potential private equity opportunities.

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