Iceman
12 hours ago
Another ionq strategic partnership!
https://breezeinflow.com/busan-partners-with-global-tech-leaders-to-drive-it-and-quantum-computing-innovation/
Busan news Last updated: January 12, 2025 10:24 am Maru Kim
Busan Partners with Global Tech Leaders to Drive IT and Quantum Computing Innovation
Busan has partnered with Microsoft and IonQ to establish a Data Center Academy and develop quantum computing capabilities, aiming to strengthen its position as a regional technology hub.
Busan, South Korea – The city of Busan has entered into strategic partnerships with Microsoft and IonQ, aiming to advance its capabilities in information technology (IT) and quantum computing. Announced during Mayor Park Heong-joon’s recent visit to Seattle, these agreements are part of the city’s efforts to foster innovation and create opportunities in emerging technology sectors.
One of the key outcomes of the visit is the planned establishment of the Busan Data Center Academy, a collaboration between Busan and Microsoft. As part of Microsoft’s global Datacenter Academy Program, the initiative will provide free training in areas such as cloud computing and IT infrastructure. Participants will also have access to certifications, mentorship, and internships. According to Microsoft, the academy is designed to address the increasing demand for skilled professionals in IT and data management.
“Microsoft’s Datacenter Academy is a workforce development program aimed at expanding opportunities in local communities through education and hands-on experience,” said Aditya Dalmia, Vice President at Microsoft. “Busan’s focus on advancing its technology infrastructure aligns with this mission.”
Another agreement was signed with IonQ, a quantum computing firm specializing in trapped-ion technology. The collaboration includes the use of IonQ’s quantum cloud services to explore applications in sectors such as logistics and finance. Busan plans to use the partnership to expand its presence in the quantum computing industry, which is regarded as a key area of technological advancement.
IonQ has been noted for its recent breakthroughs in scalable quantum computing, including reducing computational complexity for optimization problems. “This partnership demonstrates Busan’s interest in leveraging advanced technologies for its economic and industrial development,” said an IonQ representative.
During the visit, Mayor Park also met with Seattle Mayor Bruce Harrell to discuss collaboration in areas such as technology, tourism, logistics, and environmental sustainability. Seattle, home to global companies like Microsoft, Amazon, and Boeing, has evolved into a major tech hub, providing insights for Busan’s development plans.
Mayor Park commented, “Seattle’s transformation from a traditional industrial base to a global technology center offers valuable lessons for Busan. These agreements are a step toward achieving similar goals in IT and green industries.”
Mayor Harrell highlighted the potential for cooperation between the two cities, citing shared priorities in innovation and sustainability. “Busan and Seattle have complementary strengths that could lead to meaningful collaboration,” Harrell said.
The partnerships with Microsoft and IonQ are expected to impact Busan’s economy and workforce development, with a focus on job creation and skill-building. Busan officials have emphasized the role of these initiatives in positioning the city as a regional hub for advanced technologies.
Both projects are set to begin implementation in 2025, with the Busan Data Center Academy slated to launch later this year. City officials expressed optimism about the potential long-term benefits, including talent development and technological innovation.
Konaploinks
16 hours ago
HOMEWORK: Quantum computers are currently solving problems that are particularly suited to their unique capabilities, such as leveraging superposition, entanglement, and quantum interference. These applications often involve problems where classical computers struggle due to computational complexity. Here are some key areas where quantum computers are making an impact today:
1. Optimization Problems
• Examples: Supply chain optimization, traffic flow management, portfolio optimization in finance.
• Quantum Advantage: Quantum algorithms like quantum annealing and the Quantum Approximate Optimization Algorithm (QAOA) explore large solution spaces more efficiently than classical methods.
2. Quantum Chemistry and Materials Science
• Examples: Simulating molecules (e.g., predicting the behavior of complex chemicals or drug molecules), designing new materials, and understanding chemical reactions.
• Quantum Advantage: Quantum computers can model quantum systems (like atoms and molecules) natively, overcoming the limitations of classical approximations.
3. Cryptography and Cybersecurity
• Examples: Developing quantum-resistant encryption (to protect against future quantum attacks) and breaking some classical cryptographic codes.
• Quantum Threat: Shor’s algorithm could eventually break widely-used encryption methods like RSA and ECC.
4. Machine Learning and AI
• Examples: Accelerating certain machine learning tasks like clustering, classification, and data pattern recognition.
• Quantum Techniques: Quantum machine learning algorithms, such as quantum-enhanced support vector machines and quantum neural networks, can process certain types of data faster or more efficiently.
5. Drug Discovery and Healthcare
• Examples: Identifying potential drug candidates, optimizing drug interactions, and simulating biological systems.
• Quantum Edge: Faster simulation of molecular dynamics helps in identifying promising compounds for drug development.
6. Optimization in Logistics and Supply Chains
• Examples: Route optimization for delivery services (e.g., “traveling salesperson problem”), optimizing cargo space.
• Quantum Potential: Faster solutions for complex logistical challenges compared to classical solvers.
7. Financial Modeling
• Examples: Risk assessment, fraud detection, and pricing derivatives.
• Quantum Techniques: Quantum algorithms can simulate market dynamics or optimize investment portfolios with complex constraints.
8. Physics and Fundamental Research
• Examples: Simulating quantum systems, studying condensed matter physics, and solving complex differential equations.
• Quantum Strength: These applications naturally align with quantum mechanics, making quantum computers uniquely suited for them.
9. Search and Sampling Problems
• Examples: Improving search efficiency in large datasets and sampling from complex probability distributions.
• Quantum Example: Grover’s algorithm provides a quadratic speedup for unstructured search problems.
As hardware improves, these applications will expand, potentially revolutionizing fields like medicine, energy, and climate modeling.
Konaploinks
1 day ago
Hey Doc, this is what he’s really afraid of and they’re coming soon. He would like to divert as much attention away from these as possible. Quantum memristors, while still theoretical, are a potential development in quantum computing and quantum technologies. A memristor (memory resistor) is a non-linear circuit element with memory capabilities, meaning its resistance changes based on the history of the current that has passed through it. These devices have shown promise in classical neuromorphic computing due to their ability to mimic synaptic behavior.
In the quantum realm, researchers are exploring whether similar concepts can be applied using quantum systems. A quantum memristor would be a device that exhibits memory-like behavior while maintaining quantum coherence and supporting superposition and entanglement. This would require overcoming several challenges, such as:
1. Material Design: Identifying materials or structures that exhibit memristive properties in the quantum regime.
2. Quantum States and Memory: Engineering a mechanism for storing and recalling quantum states while preserving coherence.
3. Integration with Quantum Circuits: Ensuring compatibility with qubits and other quantum components.
Potential Applications of Quantum Memristors
• Neuromorphic Quantum Computing: They could enable systems that emulate quantum neural networks, merging the advantages of quantum computing with brain-inspired architectures.
• Quantum Machine Learning: Quantum memristors might enhance machine learning by allowing for adaptive, memory-based operations in quantum algorithms.
• Energy Efficiency: These devices could reduce the energy requirements of quantum circuits by mimicking synaptic processes.
Current Research
Some theoretical frameworks and early experimental attempts have been made. For example:
• Researchers have proposed designs for memristors using quantum dots, superconducting circuits, or photonic systems.
• Studies in non-Markovian quantum systems—systems where memory effects arise—have provided insights into how quantum memory might be implemented.
While quantum memristors are still in their infancy, advancements in materials science, quantum mechanics, and neuromorphic engineering could make them a reality in the future.
Konaploinks
1 day ago
IonQ Highlights Continued Quantum Momentum at Q2B24 Silicon Valley
December 10 2024 - 8:05AM
Business Wire
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IonQ to host a fireside chat with General Dynamics Information Technology on forming quantum go-to-market partnerships and commercial momentum in the quantum space
Today, IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, will highlight the transformative power of quantum computing for the future of business at Q2B24 Silicon Valley.
At Q2B24, IonQ will be joined by General Dynamics Information Technology (GDIT) to discuss how quantum is gaining momentum in the government sector. This collaboration emphasizes the pivotal role of strategic partnerships in driving innovation and accelerating quantum technology adoption. Together, IonQ and GDIT will demonstrate how combining quantum expertise and resources can unlock new opportunities and tackle complex challenges in business and technology.
IonQ will also showcase its latest innovations driving our recent commercial momentum on the show floor at Booth #G7. Attendees can explore IonQ’s latest advancements, including IonQ Forte, IonQ Forte Enterprise, and the new enterprise-grade IonQ Quantum OS and Hybrid Services suite.
Ariel Braunstein, Senior Vice President of Product at IonQ, will lead the fireside chat discussing the impact of quantum go-to-market partnerships with GDIT. The session, “Forming Quantum Go-To-Market Partnerships,” is scheduled to take place on Dec. 11, 2024, at 2 p.m. PST, and feature guest speaker Michael Tait, Technology Consultant, Quantum Capabilities Office of the CTO at General Dynamics Information Technology (GDIT).
“We’re thrilled to showcase how our work with partners like GDIT is both unlocking new market opportunities for quantum computing and advancing new innovations through collaborative programs,” said Braunstein. “Through our partnership with GDIT, we’re helping enable next-generation civilian and defense solutions powered by quantum and AI. I look forward to the opportunity to demonstrate how our technology and this partnership are shaping the future of government operations and business at a large scale.”
“IonQ looks forward to connecting with the broader quantum industry at Q2B to discuss the latest trends shaping the future of quantum computing—AI, hybrid application workflows, full-stack quantum systems, networking and more,” said Peter Chapman, president and CEO of IonQ. “Q2B caps off a year of tremendous business growth and technical progress for IonQ, and we look forward to sharing the work our researchers, application teams, and partners have accomplished over the last twelve months.”
In 2024, IonQ opened the United States’ first quantum computing manufacturing facility in Bothell, WA, unveiled its first quantum computer in Europe in partnership with QuantumBasel, its new enterprise-grade Quantum OS and Hybrid Services suite, and announced new partnerships with AstraZeneca, AWS, Ansys, imec, and NKT Photonics. IonQ also announced its acquisition of Qubitekk—a leader in quantum networking solutions—to advance IonQ’s trajectory into the quantum networking market.
To learn more about IonQ and its latest system news and business developments, visit https://ionq/com.
Konaploinks
1 day ago
IonQ Recognized in Newsweek’s “Excellence 1000 Index” as a Champion of Business Excellence
December 19 2024 - 8:05AM
Business Wire
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IonQ earns a spot in the prestigious list of 1,000 global companies who showcase financial success, growth, and innovation.
The company joins fellow honorees NVIDIA, Cisco, VMWare, Adobe and Salesforce who are also leading the way in the corporate world.
IonQ (NYSE: IONQ), an industry leader in the quantum computing and networking industry, today announced its inclusion in the prestigious “Newsweek Excellence 1000 Index 2025,” a global ranking that recognizes the most innovative and customer-centric companies across industries who are balancing financial success with ethical practices, social responsibility and global sustainability. This accolade highlights IonQ’s commitment to pushing the boundaries of technology and delivering real-world impact through quantum solutions.
The Newsweek Excellence 1000 Index, developed in collaboration with respected global data partners, rigorously evaluated over 25,000 companies and identified 5,200 that upheld their standards. Of those, 1,000 were selected and recognized for Newsweek’s 2025 list, with IonQ ranking in the top quarter of those recognized – after only three years of becoming a public company.
“This recognition is a tremendous honor and a testament to our commitment to not only growing as a company but doing so in responsible, ethical, and sustainable ways,” said Peter Chapman, President and CEO of IonQ. “IonQ is committed to advancing quantum computing and networking technologies to address complex and impactful problems including improving sustainable practices and empowering responsible technology.”
“Corporate success today goes beyond financial performance. The Excellence 1000 Index honors companies that balance strategic growth with a deep commitment to ethics, social responsibility, and sustainability. Together with our partner Best Practice Institute, we are proud to recognize these organizations redefining leadership in the corporate world,” said Nancy Cooper, Global Editor in Chief of Newsweek.
“In an era where narratives often overshadow facts, the Excellence 1000 Index stands as a testament to the importance of verified impact and ethical leadership,” said Louis Carter, CEO of Best Practice Institute. “This year’s honorees exemplify what it means to prioritize innovation, sustainability, and stakeholder value over tradition and superficial metrics. By recognizing these trailblazers, we aim to inspire a new standard for evaluating corporate success—one that values measurable progress and integrity above all.”
This recognition caps a landmark year of tremendous growth for IonQ, as the company has further solidified its position as a leader in quantum computing and networking. In just the past month, IonQ has announced new advanced hybrid quantum computing application with NVIDIA CUDA-Q, enterprise grade IonQ Quantum OS and Hybrid Services suite, its first quantum computer and innovation center in Europe with a record #AQ36 in partnership with QuantumBasel, and recognition by the New York Stock Exchange including an on-site display of IonQ’s ion trap – the first-ever for a quantum computing company.
More details on the final list can be found on Newsweek, and more information on IonQ’s latest innovations can be found at https://ionq.com.
About IonQ
IonQ, Inc. is a leader in quantum computing that delivers high-performance systems capable of solving the world’s largest and most complex commercial and research use cases. IonQ’s current generation quantum computer, IonQ Forte, is the latest in a line of cutting-edge systems, boasting 36 algorithmic qubits. The company’s innovative technology and rapid growth were recognized in Fast Company’s 2023 Next Big Things in Tech List and Deloitte’s 2023 Technology Fast 500™ List, respectively. Available through all major cloud providers, IonQ is making quantum computing more accessible and impactful than ever before. Learn more at IonQ.com.
Konaploinks
2 days ago
ECHNOLOGY
Quantum Computing Poses 'Existential Threat' To Nvidia, Says Analyst
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BENJAMIN PIMENTEL 03:27 PM ET 01/08/2025
Quantum computing, which Nvidia (NVDA) CEO Jensen Huang dismissed this week as a long-term play, causing IonQ stock and others to crash, is in fact an existential threat to the AI powerhouse, an analyst said Wednesday.
Huang created a stir by saying quantum computing won't be "very useful" for 15-30 years, triggering a sell-off in shares of companies like IonQ (IONQ) and Rigetti Computing (RGTI). But the Nvidia CEO's remarks were dismissed as "self-serving" by Gil Luria, head of technology research at DA Davidson, which has a buy rating on IonQ. IonQ stock plunged more than 40% on Wednesday.
Stock Market Sells Off As Nvidia Tumbles; AppLovin, Netflix Also In Focus
"We believe Mr. Huang's comments may have been somewhat self-serving," Luria told Investor's Business Daily.
Huang suggested during an Nvidia analyst event that quantum computing, which relies on quantum mechanics to take on problems deemed too challenging for traditional computer technology, simply isn't ready for prime time.
"If you kind of said 15 years for very useful quantum computers, that would probably be on the early side. If you said 30, it's probably on the late side," Huang said. "If you picked 20, I think a whole bunch of us would believe it."
Quantum Computing's 'Existential Threat' To Nvidia
But Luria argued that, on the contrary, quantum computing will be a major trend in tech in as early as five years and poses a serious threat to Nvidia.
"Once quantum computing becomes powerful enough, it will likely replace some of the uses of GPU data centers with a much smaller footprint and much faster computation," Luria said. "That means quantum computing is an existential threat to Nvidia, which it would then want to wish away."
DA Davidson initiated coverage on IonQ stock in December, saying company "represents a compelling pure-play investment positioned to capitalize on quantum computing's rapid growth, driven by increasing inadequacy of classical computing for solving complex problems."
Konaploinks
2 days ago
More HOMEWORK: IonQ’s technological focus centers on advancing trapped-ion quantum computing technology, leveraging its strengths in qubit fidelity, scalability, and connectivity to address a wide range of real-world problems. Here are the key aspects of IonQ’s technological focus:
1. Trapped-Ion Quantum Computing Technology
• Core Principle: IonQ uses ions trapped in electromagnetic fields as qubits. These qubits are manipulated using laser pulses to perform quantum operations.
• Advantages:
• High Fidelity: Trapped-ion qubits are among the most error-resistant qubits, allowing for precise and reliable computations.
• All-to-All Connectivity: Each qubit in IonQ’s system can interact with any other qubit, enabling efficient quantum circuits and reducing the need for complex routing.
• Scalability: IonQ’s approach allows for modular and incremental scaling by adding more ion traps to the system.
2. Hardware Innovations
• Custom Laser Systems: IonQ develops proprietary laser systems to manipulate and read qubits with high precision.
• Reconfigurable Qubits: The trapped-ion platform enables dynamic reconfiguration of qubit layouts, optimizing computations for specific applications.
• Error Mitigation: Focuses on reducing quantum noise and improving gate fidelity to minimize errors during computations.
3. Software and Applications
• Quantum Cloud Access:
• Provides access to its quantum systems through platforms like Amazon Braket, Microsoft Azure Quantum, and Google Cloud.
• Focused on democratizing quantum computing by making it accessible to researchers, developers, and enterprises.
• Quantum Algorithms:
• Actively develops and optimizes algorithms for specific industries, including finance, logistics, chemistry, and artificial intelligence (AI).
• Pioneers the integration of AI and quantum computing to solve complex machine learning problems.
4. Hybrid Quantum-Classical Computing
• IonQ emphasizes the importance of hybrid systems, where quantum and classical computing work together.
• Collaborates with NVIDIA and other partners to integrate quantum computing into classical AI and simulation workflows, such as drug discovery and materials science.
5. Strategic Industry Focus
IonQ applies its technology across various industries:
• Artificial Intelligence:
• Enhances machine learning algorithms through quantum-assisted optimizations.
• Works on quantum natural language processing (QNLP) for advanced AI applications.
• Healthcare:
• Simulates molecular interactions for drug discovery and personalized medicine.
• Finance:
• Improves portfolio optimization and risk modeling.
• Logistics:
• Solves complex supply chain and routing problems.
6. Quantum Networking
• IonQ has entered the quantum networking space with the acquisition of Qubitekk, positioning itself for leadership in distributed quantum systems and quantum communication.
7. Scalability Roadmap
• IonQ Forte: The company’s latest quantum system focuses on scaling qubit numbers while maintaining high fidelity.
• Goal: IonQ aims to achieve quantum advantage by building systems with 1,000+ qubits in the coming years.
Conclusion
IonQ’s technological focus combines high-performance hardware, innovative software solutions, and strategic partnerships to push the boundaries of quantum computing. Its emphasis on trapped-ion technology, hybrid systems, and scalable architectures positions it as a leader in the race to quantum advantage. Would you like more details about specific applications or upcoming developments?
Konaploinks
2 days ago
IonQ’s AI+Quantum (AI+Q) solution integrates quantum computing with artificial intelligence (AI) to tackle complex computational problems that are beyond the reach of classical methods. This approach is particularly impactful in areas such as machine learning, optimization, and data-intensive processes. Here’s a breakdown of IonQ’s AI+Q strategy:
1. How AI and Quantum Work Together
• Quantum Computing Strengths:
• Processes and analyzes vast amounts of data simultaneously through quantum parallelism.
• Solves optimization problems, which are crucial for machine learning and neural networks.
• AI Strengths:
• Extracts insights from data, identifies patterns, and enables automation in decision-making.
By combining these technologies, IonQ leverages quantum algorithms to enhance AI’s capabilities, such as improving the training of machine learning models.
2. IonQ’s Quantum Solutions for AI
• Quantum Machine Learning (QML):
• IonQ quantum systems are used to accelerate machine learning algorithms.
• Example: Faster optimization of AI models using quantum-enhanced gradient descent techniques.
• AI for Quantum:
• IonQ uses AI to optimize quantum hardware, such as calibrating qubits and improving gate fidelities.
• Quantum Natural Language Processing (QNLP):
• Addresses challenges in AI language models by integrating quantum methods to process natural language more efficiently.
3. Real-World Applications
• Healthcare:
• Optimizing drug discovery pipelines using quantum-enhanced AI for molecule simulations.
• Finance:
• Enhancing portfolio optimization and risk modeling through quantum-accelerated AI tools.
• Logistics:
• Solving complex optimization problems, such as supply chain management, with AI and quantum algorithms.
• Autonomous Systems:
• Developing smarter AI systems for autonomous vehicles and robotics by integrating quantum-enhanced decision-making.
4. Strategic Collaborations
IonQ collaborates with industry leaders in AI and cloud computing to provide integrated solutions:
• Cloud Platforms:
• Partners with Microsoft Azure, Amazon Braket, and Google Cloud for seamless access to quantum systems.
• NVIDIA CUDA-Q:
• Integrates with NVIDIA’s CUDA-Q development platform to accelerate AI-quantum workflows.
5. Advantages of IonQ’s AI+Q Approach
• High Connectivity:
• IonQ’s trapped-ion technology allows qubits to interact more flexibly, crucial for machine learning models.
• Error Reduction:
• Superior gate fidelity ensures that AI models trained on IonQ’s quantum systems are more accurate.
• Scalability:
• IonQ’s modular trapped-ion approach makes scaling quantum systems easier, enabling broader AI applications.
Would you like examples of specific projects IonQ is working on, or insights into their AI integration in a particular industry?
IonQ is actively integrating quantum computing with artificial intelligence (AI) across various industries to address complex computational challenges. Here are some notable projects and collaborations:
1. Quantum Machine Learning with QC Ware
In collaboration with QC Ware, IonQ has developed quantum algorithms capable of efficiently loading classical data onto quantum states. This advancement facilitates robust quantum machine learning (QML) applications, achieving accuracy levels comparable to classical algorithms. Notably, their joint efforts have enabled classification tasks involving 10 classes on a quantum computer, a significant milestone in QML. ?
2. Hybrid Quantum-Classical Computing with NVIDIA CUDA-Q
IonQ has demonstrated an end-to-end application workflow that integrates its quantum hardware with NVIDIA’s CUDA-Q platform. This collaboration focuses on calculating molecular electronic structures, with potential applications in drug discovery and chemistry. The integration aims to make quantum acceleration as accessible as GPU acceleration in hybrid computing environments. ?
3. Engineering Simulations with Ansys
Partnering with Ansys, IonQ is working to incorporate quantum computing into engineering simulations. This integration seeks to accelerate simulation processes, expand high-fidelity design exploration, and reduce product development timelines, thereby enhancing engineering workflows. ?
4. AI and Quantum Computing Integration
IonQ is exploring the convergence of AI and quantum technologies to transform industries such as finance, healthcare, logistics, and manufacturing. By enabling more precise predictions, optimizations, and real-time decision-making capabilities, this integration aims to address complex problems more efficiently than traditional methods. ?
5. Quantum Advantage via Generative AI
IonQ is investigating the potential of combining generative AI with quantum computing to achieve quantum advantage. This approach aims to leverage the strengths of both technologies to solve problems that are currently intractable for classical systems alone. ?
These initiatives underscore IonQ’s commitment to advancing quantum computing applications across various sectors, enhancing AI capabilities, and fostering innovation through strategic partnerships.
Konaploinks
2 days ago
IonQ and Oak Ridge National Laboratory Unveil Novel Approach to Scalable Quantum Computing
December 30 2024 - 8:05AM
Business Wire
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Innovative, noise-tolerant quantum algorithm reduces the number of two-qubit gates needed by over 85 percent, speeding up solutions for complex optimization problems.
IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, announced a technological breakthrough that demonstrates a new approach to scalable quantum computing, resulting from a collaboration with Oak Ridge National Laboratory (ORNL).
The collaboration combined IonQ’s high-performing, enterprise-grade trapped-ion technology with ORNL’s world-class quantum technologies expertise to develop a novel hybrid quantum algorithm based on the Quantum Imaginary Time Evolution principle (QITE). This noise-tolerant method enables near-optimal and optimal solutions for complex combinatorial optimization problems on IonQ's commercially available hardware. The results showed that QITE can significantly outperform other quantum optimization algorithms such as QAOA (Quantum Approximate Optimization Algorithm) in both time-to-solution and circuit depth, paving the way for tackling large optimization problems on near-term quantum computers. By using this hybrid quantum algorithm, IonQ and ORNL were able to reduce the number of two-qubit gates by over 85% for a 28 qubit problem compared to a QAOA solution, improving over the state of the art. The hybrid quantum algorithm was proved out on IonQ’s Aria and Forte systems which were used inside the optimization loop, paving the way for scaling to larger problem sizes.
Optimization is one of the most anticipated applications for quantum computers, due to a wealth of applications in both industry and scientific discovery. IonQ and ORNL’s breakthrough method has practical applications across various industries, including energy grid optimization, unit commitment, contingency planning, financial risk management and fraud detection, improving logistics and supply chain efficiency, advancing drug discovery and optimizing clinical trials in healthcare and pharmaceuticals, and enhancing production efficiency in manufacturing and operations.
“This work is an important step forward in scaling quantum computing systems for practical commercial applications,” said Dr. Martin Roetteler, Senior Director, Quantum Solutions at IonQ. “Working with ORNL, we’ve shown how our technology can have a direct business impact by reducing cost, time and computational resources, and we’re excited about the potential this has for industries ranging from logistics to energy systems, finance and life sciences.”
“This collaboration is part of the lab’s ongoing efforts in advancing quantum optimization. The development of quantum imaginary time evolution-based methods demonstrates our commitment to leveraging near-term quantum computers for real-world, industrial challenges. We’re excited about testing quantum computers to benefit the nation,” said Dr. Travis Humble, Director, Quantum Science Center at Oak Ridge National Laboratory.
To learn more about IonQ’s latest innovations and more details on this novel hybrid quantum algorithm, visit www.ionq.com.
Konaploinks
2 days ago
COLLEGE PARK, Md.--(BUSINESS WIRE)--Jan. 10, 2025--The following is a statement from Peter Chapman, Chairman and CEO of IonQ (NYSE: IONQ):
Today’s classical computing hardware is limited by computational capacity and power requirements in ways that will likely prohibit society from ever being able to solve some of its most pressing problems.
IonQ’s current #AQ 36 Forte Enterprise systems are already providing insight to solutions for customers today, and our upcoming #AQ 64 Tempo systems in 2025 and next-generation #AQ 256 systems will enable us to tackle increasingly complex problems to deliver near-term business value. One of the areas facing the most significant potential disruption is strong AI, where we believe natively quantum AI will outperform classical AI.
Prudent leaders invest in things that have the potential for near-term returns. By the end of 2023, global quantum investment had reached $50 billion.* Companies like Amazon, Google, NVIDIA, IBM, and Microsoft are investing and hiring in the quantum compute area today.
The world depends on secure communications from financial services to military applications. IonQ is a leader in quantum networking, which we believe is as significant a market as quantum computing.
IonQ also has a history of delivering upon its technical and commercial milestones.
We anticipate that 2024 results will be at the high end of our bookings and revenue guidance and are extremely excited about 2025.
We believe that IonQ will be profitable, with sales approaching $1 billion, by 2030.
* McKinsey, Third Annual Quantum Technology Monitor 2024 Overview, April 24, 2024
Iceman
2 days ago
Here it is.-
Marty Shtrubel
Jan 10, 2025, 12:07 PM
IonQ and Rigetti: Top Analyst Chooses the Best Quantum Computing Stocks to Buy
If you would like an example of how fickle Wall Street can be sometimes, look no further than what happened to quantum computing stocks earlier this week.
Names operating in this up-and-coming segment have gone on some turbocharged runs in recent times, with investors becoming very excited about the potential of this groundbreaking technology. Quantum computers promise a level of speed and computational power that traditional computers can scarcely imagine.
But “potential” might be the key word here, as these companies could still be a while away from making any real-world impact – something Nvidia CEO Jensen Huang was quick to highlight at the CES tech event. In fact, Huang said it would probably be around 20 years before quantum computing was ready to be properly used, and that was the signal for a massive sell-off across the quantum computing space.
However, Craig-Hallum’s Richard Shannon, an analyst ranked in the top 1% of Wall Street stock pros, believes Huang’s statement is quite an exaggeration – albeit not surprising, considering the chip giant could face potential threats from this segment.
Shannon thinks quantum computing could be “disruptive to parts of the classical compute business, of which Nvidia is a chief beneficiary.” Moreover, helping to prop up what might become a vital industry, Shannon points out that over the next few years there will be “considerable government-related revenues” coming in. “If investors are worried about minimal revenues that will require dilution, they are missing a key part of the equation,” the analyst went on to say.
What investors should be doing, according to Shannon, is paying attention to two of the leading names in the Quantum computing space – IonQ (NYSE:IONQ) and Rigetti (NASDAQ:RGTI).
The 5-star analyst isn’t alone in his optimism. According to TipRanks data, both stocks boast Strong Buy ratings from the analyst consensus. Let’s dive deeper to see why Shannon and the broader Street are getting behind these names.
IonQ
The first quantum computing stalwart we’ll look at is IonQ, a College Park, Maryland-based company specializing in creating general-purpose trapped ion quantum computers – designed to handle a wide variety of computational tasks. IonQ also develops software to generate, optimize, and run quantum circuits.
Founded in 2015 by Duke University professors Christopher Monroe and Jungsang Kim, IonQ builds on 25 years of academic research in quantum information science, showcasing its founders’ extensive expertise in the field.
For those unfamiliar, trapped ion technology uses individual ions (charged atoms) as quantum bits, or qubits – the fundamental units of quantum computation. These ions are confined in a vacuum chamber using electromagnetic fields and manipulated with lasers or other precise controls to manage and measure their quantum states.
IonQ has also built a robust intellectual property portfolio, holding more than 600 issued and pending U.S. and international patents. These cover a range of innovations aimed at enhancing the performance, efficiency, and scalability of quantum systems.
Despite its groundbreaking advancements, IonQ remains in the early stages of commercial development, as reflected in its modest revenue figures. In Q3, the company reported $12.4 million in revenue – a relatively small sum but a notable 103.3% year-over-year increase, surpassing estimates by $1.82 million.
Considering IonQ’s prospects, top analyst Richard Shannon believes investors should get on board sooner rather than later.
“Most investors view IONQ (and quantum computing broadly) as a late stage science/engineering project, but not one that will result in realworld revenues any time soon,” Shannon explained. “IONQ has made it a mission to find early applications to drive fast solutions, and announced two customers – AstraZeneca and Ansys (simulation software) – that it believes will get there first… While we aren’t going to get ahead of ourselves, in terms of baking in real-world sales at this time, investors should recognize that the opportunity is large, and in combination with a strong balance sheet (we see balance sheet risk as eliminated for at least 2-3 years), IONQ is the safest way to quantum computing.”
These comments underpin Shannon’s Buy rating for IONQ, alongside a $45 price target, implying 12-month returns of 37% from current levels. (To view Shannon’s track record, click here)
Other analysts share Shannon’s optimistic outlook. Of the 4 others covering IonQ, 3 rate it a Buy, while one assigns a Hold, resulting in a Strong Buy consensus. With an average price target of $38.75, the stock is projected to offer a ~16% upside over the next 12 months. (See IONQ stock forecast)
Rigetti Computing
The next quantum name we’ll examine is Rigetti Computing, whose stock experienced a monster run-up until Huang burst the quantum balloon. Over less than two months at the end of last year, Rigetti shares skyrocketed by nearly 1,300%.
The company was founded in 2013 by physicist Chad Rigetti, a well-known player in the quantum computing industry. Headquartered in Berkeley, California, Rigetti specializes in building quantum computers powered by superconducting quantum processors. It has a full-stack approach, which includes the design and fabrication of quantum chips, integration with control architectures, and the development of software tools that enable programmers to create quantum algorithms. Through its QCS (Quantum Cloud Services) platform, Rigetti provides access to quantum computing capabilities that can be integrated into public, private, or hybrid cloud environments.
Moreover, Rigetti has established significant collaborations with various government agencies to advance quantum computing. In September 2023, it secured a five-year Indefinite Delivery Indefinite Quantity (IDIQ) contract with the Air Force Research Lab Information Directorate. Additionally, in October 2023, Rigetti joined the DARPA (Defense Advanced Research Projects Agency) to participate in the IMPAQT (Imagining Practical Applications for a Quantum Tomorrow) program. This initiative focuses on advancing quantum algorithms for solving combinatorial optimization problems, with the goal being to boost the practical applications of quantum computing in complex problem-solving scenarios.
For Craig-Hallum’s Shannon, Rigetti’s government connections could prove important in advancing its case.
“We believe RGTI’s longstanding experience in chiplet design, foundry feedback loop with the government, and potentially exclusive access to unique developments from government labs give RGTI an underrecognized ability to scale to quantum advantage as early as C28 and remain ahead of competitors thereafter,” the analyst explained. “Government priorities for QC have and will drive significant near-term spending that drives 1) non-dilutive capital for RGTI and 2) creates IP transfer potential to accelerate RGTI’s roadmap. RGTI’s strong relationships with multiple USG groups, along with pending legislation to provide more spending, are accelerators to RGTI and its QC development.”
Quantifying that stance, Shannon rates RGTI shares a Buy, while his $12 price target implies the stock will climb ~18% higher over the one-year timeframe.
Wall Street’s current view on this stock appears somewhat confusing. Rigetti gets a Strong Buy consensus rating based on 6 unanimous Buys. However, the $5.20 average price target factors in a 12-month decline of ~49%. It will be interesting to see whether analysts increase their price targets or downgrade their ratings shortly.
Konaploinks
2 days ago
From ChatGPT. … IonQ and NVIDIA (NVDA) are related through their complementary roles in advancing quantum computing and artificial intelligence (AI). Here’s how they connect:
1. Collaboration on Quantum Computing and AI:
• IonQ: A leader in quantum computing, focusing on developing quantum computers and algorithms that leverage quantum mechanics for solving complex problems.
• NVIDIA: A leading technology company specializing in GPUs (graphics processing units), which are essential for high-performance computing, AI, and machine learning.
IonQ’s quantum computing systems can benefit from NVIDIA’s hardware and software platforms for simulation, data analysis, and AI integration. NVIDIA GPUs are often used to simulate quantum circuits, enabling researchers to prototype and test quantum algorithms before running them on quantum hardware.
2. NVIDIA CUDA and Quantum Simulation:
NVIDIA’s CUDA platform, used for GPU programming, is a common tool in quantum computing research. IonQ may use or collaborate with tools like CUDA to simulate quantum systems or optimize quantum algorithms, making the connection strategic for both companies.
3. Ecosystem Partnerships:
Both IonQ and NVIDIA are part of the broader ecosystem of companies driving next-generation computing technologies. They might work together in:
• Cloud Platforms: NVIDIA-powered cloud solutions can host IonQ’s quantum computing services.
• Research Initiatives: Joint efforts in advancing AI and quantum computing could lead to groundbreaking innovations.
4. Use Cases:
• Quantum Machine Learning: NVIDIA’s AI expertise combined with IonQ’s quantum computing could enable breakthroughs in quantum-enhanced AI.
• Optimization Problems: Applications like logistics, drug discovery, and financial modeling could benefit from both technologies.
Would you like specific examples of collaborations or areas where IonQ and NVIDIA have overlapping interests?
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