PonderosaPack
5 horas hace
IonQ and Oak Ridge National Laboratory Unveil Novel Approach to Scalable Quantum Computing
Business Wire
Mon, December 30, 2024 at 8:05 AM EST 6 min read
In This Article:
IONQ
-5.72%
IONQ-WS
Innovative, noise-tolerant quantum algorithm reduces the number of two-qubit gates needed by over 85 percent, speeding up solutions for complex optimization problems.
COLLEGE PARK, Md., December 30, 2024--(BUSINESS WIRE)--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.
PonderosaPack
1 día hace
‘The Superior Choice,’ Says Top Investor About IONQ Stock
Story by Gabe Ross • 3h • 3 min read
IN THIS ARTICLE
IONQ, INC.
IONQ
??-5.72%?
People are always looking for the next ‘big thing’ when it comes to technology, stocks, or even online social media trends. While the incredible advances in AI have been front-and-center in both the tech world and in the markets over the past few years, the rumblings about quantum computing are starting to grow louder.
NVIDIA's New Silent Partner Could be the Next Superstar
Weiss
NVIDIA's New Silent Partner Could be the Next Superstar
Investors are certainly paying attention to the companies that are working to build out and develop this new realm. One such company, IonQ, Inc. (NYSE:IONQ) has certainly benefited from the quantum computing excitement, and its shares are up over 564% over the past six months.
Still, such rapid growth might generally cause valuation concerns if it is not backed up by reality. Top investor James Foord–who sits in the top 4% of TipRanks’ stock pros–believes that the hype is justified when it comes to IonQ.
“This company has the most compelling fundamentals out of the publicly traded quantum stocks, with what I consider to be superior technology and a stronger roadmap,” writes the 5-star investor.
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Foord explains that there are multiple reasons that IONQ has a leg up on its competitors in the quantum realm. For starters, with its technology accessable for clients via large cloud providers, the company has a compelling revenue model.
“For any business wanting to experiment with quantum computing, IONQ is really the easiest way to do so, and this is reflected in their revenue growth,” adds the investor, who points to its 2024 Q3 revenue growth of over 100% year-over-year as proof of the merits of this approach.
Foord also takes comfort from IONQ’s institutional support, including from major players such as Amazon, an investor in the company. The investor also notes that both institutional investors (36.59% of shares) and company insiders (8.9% of shares) own large chunks of the company.
Looking ahead to 2025, the investor is high on IonQ’s upcoming IONQ Tempo, which is slated to have a number of “actual commercial applications.” Though the company is still not profitable, with over $360 million in cash on hand and no debt on its books, Foord notes that IONQ’s “healthy financial position limits the chances of dilution and bankruptcy.”
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All in all, Foord calls IONQ “superior choice” for quantum stocks. The investor is assigning IONQ a Buy rating. (To watch Foord’s track record, click here)
This optimism is reflected throughout Wall Street as well. With 4 Buy and 1 Hold ratings, IONQ holds a Strong Buy consensus rating. However, its rapid ascent has outpaced even this robust optimism, as its 12-month average price target of $40.00 would yield losses of some -12%. It remains to be seen if analysts will readjust their price targets-or their ratings-accordingly.
https://www.msn.com/en-us/technology/tech-companies/the-superior-choice-says-top-investor-about-ionq-stock/ar-AA1wEI1J
Konaploinks
1 día hace
Homework. December 9, 2020
by Peter Chapman, President and CEO
https://images.ctfassets.net/hqm865gc1xfs/4IMJnA61DhS7bD4vVeWFf9/6455f7fca0764c74703eac4a37b289ff/IonQ-roadmap-20201208.jpeg
Today, how many people buy a computer based on the number of transistors?
The qubit count race today reminds me of the transistor count races of the mid-80s, when every vendor truly believed their architecture, manufacturing process, and performance advantages were real. They didn’t think or even know they were wrong yet.
History is repeating itself once again, now for quantum computing.
This blog is our attempt to cut through the chaos, provide a realistic roadmap for achieving broad quantum advantage, and address the shortcomings of Quantum Volume by introducing a new benchmark that we call Algorithmic Qubits. We also introduce an Algorithmic Qubit Estimator to help you compare systems.
The computational power of a quantum computer can be limited by many factors: qubit lifetime and coherence time (T1 and T2), average 2 qubit gate fidelity, number of qubits, and many other things. IBM introduced Quantum Volume (QV) as a benchmark to take into account some of these aspects of early quantum computers. Unlike classical computer benchmarks which determine speed of the computer, this benchmark tried to determine how big a program (circuit) could be run on a quantum computer. The usefulness of the quantum, per se.
If your quantum computer had lots of qubits, but low gate fidelity (i.e. a high error rate), your quantum volume score would be low. Likewise, if your quantum computer had high gate fidelity, but a small number of qubits, again your quantum volume score would be low. The Goldilocks zone increases qubits as fidelity increases in lockstep.
At some point, when gate fidelity can no longer easily be improved, error correction will be needed. Error correction uses multiple physical qubits to produce a single improved qubit. The number of qubits required, or overhead, is dependent on the amount of error to overcome. Because IonQ computers have the best gate fidelity, they have the smallest overhead. IonQ co-founder Chris Monroe, advisor Kenneth Brown, and their academic collaborators recently demonstrated the first fault tolerant error corrected operation using a trapped ion system, with an overhead of just 13:1. Other technologies, because of their poor gate fidelity and qubit connectivity, might need 1,000, 10,000 or even 1,000,000 qubits to create a single error-corrected qubit.
Unfortunately, with better quantum computers, the QV metric will become unusable because the numbers grow so quickly. We foresee a time in the near future when QV numbers will grow so large they won’t fit on your screen.
Hence, we introduce Algorithmic Qubits (AQ), which is defined as the largest number of effectively perfect qubits you can deploy for a typical quantum program1 . It’s a similar idea to Quantum Volume, but takes error-correction into account and has a clear, direct relationship to qubit count. In the absence of error-correction encoding,
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QV˜2AQ. AQ represents the number of “useful” encoded qubits in a particular quantum computer and is a simple proxy for the ability to execute real quantum algorithms for a given input size.
AQ is generally smaller than the number of physical qubits. Hence, ignore vendors (and by extension, their roadmaps) that describe their systems purely by the number of physical qubits. A 72 qubit chip and a million qubit chip with 95% fidelity gates both have a QV of 8 and an AQ of 3. With that fidelity, only three qubits can be used for calculation, no matter the number of physical qubits.
IonQ’s roadmap is based on the AQ metric. For the next few years, IonQ will focus on improving the quality of our quantum logic gate operations to continue to increase system AQ (i.e. usable qubits). Then, IonQ will focus on implementing quantum error correction with low overhead and scaling the number of physical qubits to substantially boost system AQ further.
By 2023, IonQ will deploy modular quantum computers small enough to be networked together in a datacenter, and by 2025, we expect to achieve broad quantum advantage.
At IonQ, we're working to build the world’s most powerful quantum computers to solve the world’s hardest problems. Our recently announced 32 qubit system is expected to feature 22 Algorithmic Qubits, and this system is but the first of three new systems already in development. In short, we’ll be reaping the benefits of quantum much sooner than most would think.
1 We define a typical quantum program (circuit) as one that has a size (number of fully-connected gate operations) that scales with the square of the number of algorithmic qubits.This page was updated on February 23, 2022 to remove an Algorithmic Qubit estimator that did not accurately reflect our defintion of the metric. You can read more about #AQ and how it's calculated in this blog post.?
PonderosaPack
2 días hace
I don't normally post Seeking alpha articles - but I felt this was worth posting about IonQ. Good points.
https://seekingalpha.com/article/4746753-ionq-the-best-quantum-stock-with-huge-upside
IonQ: The Best Quantum Stock With Huge Upside
Dec. 28, 2024 1:33 AM ETIonQ, Inc. (IONQ) StockRGTI, QBTS12 Comments
Quantum stocks like IonQ, Rigetti Computing, and D-Wave Quantum have surged, but IonQ stands out due to its strong revenue generation and Big Tech partnerships.
IonQ's technological edge, particularly its ion-trapped quantum computing, offers broader usability and higher accuracy, securing its market leadership.
IonQ's financial health is robust, with significant cash reserves, low debt, and a quick ratio of 11.51, indicating low financial risk.
With projected revenue growth of 100% annually, IonQ is expected to reach a target price of $126 in the near-term.
3D illustration of a working quantum computer. Quantum computing concept
adventtr
Investment Thesis
Stocks within the quantum space have seen tremendous growth in recent months. Quantum stocks like IonQ (NYSE:IONQ), Rigetti Computing (RGTI), and D-Wave Quantum (QBTS) has all had a remarkable run these last 6 months and are up by 555%, 1070% and 600% respectively. This extraordinary performance makes it highly tempting to join the bulls in a market that is flaming hot. Especially as we believe there is still room for significant growth.
Price Return
Seeking Alpha
But which quantum stock should you pick? We have been delving through the fundamentals of both IonQ, Rigetti Computing, and D-Wave Quantum and we have a clear winner, and that’s IonQ.
IonQ is generating significant revenues compared to both Rigetti Computing and D-Wave Quantum and is poised to be a market leader in terms of market penetration and revenue generation in the coming years. We base this on IonQ’s close collaboration with Big Tech, its so-called hybrid quantum computing, strong customer momentum, and its ability to generate significant revenues, signaling a strong economic moat. Meanwhile, Rigetti Computing is facing steep competition for its superconducting technology from IBM and Google, while IonQ is not.
While struggling with negative GAAP earnings we believe IonQ will turn profitable in 2028, generating $237 million in operating cash flow by FY2029. This prediction is in line with Wall Street estimates. It’s all impressive, as IonQ was founded in 2015 with only $2 million in seed funding. The two founders, Chris Monroe, and Jungsang Kim have spent more than 25 years in academia, and we’re sure the two will be as famous as Bill Gates and Steve Jobs in due time.
IonQ is a company that is expected to grow revenues by 111% annually up to 2027 according to Wall Street, and could reach a market cap of $40 billion in just a few years’ time if you ask us. Hence, we are highly bullish on this stock as quantum computing is the future of not only tech, but of society, just like AI.
IonQ: Competition is nothing
We see IonQ’s key competitors as D-Wave Quantum and Rigetti Computing. However, Rigetti Computing's technology is facing immense competition from Google and IBM. Meanwhile, IonQ offers a full-stack end-to-end solution in close partnership with the major Big Tech companies. Also, as seen by the below picture IonQ's Quantum Computers are performing calculations with much higher accuracy (less noise) than Rigetti Computing, especially as the level of qubit processing power increases. Furthermore, IonQ's technology offers superior coherence time.
Coherence time is a measurement of how long a qubit can maintain its complex quantum state — essentially, a qubit's lifespan.
All calculations made with a quantum computer have to be made before the qubits decohere and lose their information. So, the longer the coherence time, the greater the capacity for long, complex algorithms.
comparison of peer performance
IonQ Investor Presentation
What we can say about D-Wave Quantum is that their product is based on a technique called Quantum Annealing. This technique is used to solve optimization problems such as the famous Travelling Salesman Problem. Although D-Wave Quantum has the most powerful Quantum Computers in the market, with more than 5000+ qubits, Quantum Annealing is rather limited when it comes to solving real-world problems which is a major setback. IonQ, on the other hand, is using a technique based on trapped ions called gate-based quantum computing. This technique is a bit slower, with less processing power than D-Wave’s Quantum Annealing Computing. But Ion-Trapped Quantum Computing is still fast enough to provide a significant advantage over classical computing while offering wider usability. The fact is that the trapped Ion technique is seen as one of the most promising techniques for quantum computing thanks to its wide usability.
Both Rigetti Computing and D-Wave Quantum are far behind IonQ when it comes to monetizing their technology and generating revenues. IonQ’s technological inventions just keep coming, and this together with its strong distribution channels has led to unprecedented revenue growth. In FY2022 IonQ released its state-of-the-art quantum computer, IonQ Forte, offering the highest performance to date for IonQ with as much as 36 qubits in processing power. Meanwhile, the company has another product release scheduled for FY2025, the Quantum Computer IonQ Tempo, and this time with 64 qubits. So far, product releases from IonQ have been ahead of schedule so we’re rather sure IonQ Tempo will be released before year-end 2025. This trend helps secure IonQ’s economic moat by always staying one step ahead of the competition.
Growth Catalysts
IonQ is bonding with Big Tech in an industry set to explode
The Quantum Computing market is poised for massive growth in the coming years, with IDC projecting a CAGR of 48% for Quantum Computing as a Service, reaching 7.1 billion by 2027, and with a potential TAM of $65 billion by 2030.
Offering Quantum Computing as a Service is important as most enterprise clients won’t find it economically viable to invest in a quantum computer on their own. It’s a massive investment, to say the least. So, to take advantage of the vast market opportunity for quantum computing, having key partnerships is a major determinant for success. You need to have partnerships with the Big Tech companies to establish your product with end-users at scale. What we like about IonQ is that they offer a cloud-agnostic end-to-end solution with every quantum language and SDK tool supported. They also have strong relationships with leading Big Tech companies like Microsoft, Amazon, and Google, who all offer IonQ’s Quantum Computing as a cloud-native service. So, now you can access IonQ’s quantum computers, like IonQ Forte, on both Azure, AWS and Google Cloud. It’s easy to see how IonQ is paving the way for massive scalability of its technology across industries as the market for quantum computing grows. So far, IonQ is the only Quantum hardware available on all of the leading cloud platforms.
IonQ: a pioneer with a first-mover advantage
If there is one company that will ride the wave of the upcoming Quantum Computing boom, it’s IonQ. Not only do they have key partnerships with many of the Big Tech companies, but they also boast a track record of successful enterprise implementations solving real-world problems across a wide range of industries with clients like Hyundai, AstraZeneca, and Airbus.
This success is all thanks to IonQ’s heavy investments in R&D for a period extending over nearly a decade. In contrast to many other companies and industries, R&D expenses still make up the largest portion of its expenses with R&D expenses topping at $127 billion TTM. It's clear that running a successful Quantum Computing company takes a lot of resources and you need to be able to burn money for years before a breakthrough is made. IonQ has made this trip and is now on a steady path toward profit generation with a first-mover advantage, something that management is keen to underline.
Nasdaq showcasing
IonQ
Also, this winter IonQ has taken the spotlight, being recognized as a Champion of Business Excellence by Newsweek, and having their proprietary ion trap technology showcased in the lobby of the New York Stock Exchange (NYSE).
Strong customer momentum
IonQ is showing significant customer momentum. The company has entered into collaboration with Hyundai, AstraZeneca, and Airbus to name a few, and covering a wide range of quantum application usages from optimization to machine learning. With Hyundai, IonQ leverages its quantum capabilities to improve image recognition using machine learning for self-driving cars, a market with a TAM of up to $10 billion. For Airbus, IonQ provides quantum algorithms for optimizing cargo loading, a market with a TAM of up to $100 billion.
Customers
IonQ Investor Presentation
With AstraZeneca, IonQ is launching a quantum application development center in Gothenburg, Sweden, leveraging its capabilities in quantum computing with AstraZeneca’s scientific rigor to drive drug development forward.
Financials
Turning to the financials, we can see that IonQ generated 37.5 million in revenues over the last twelve months. This beats both Rigetti Computing and D-Wave Quantum who posted revenues of only $11.9 and $9.4 million TTM respectively. Also, looking at Wall Street estimates for future revenues (revenues as of 2027E) we can see that IonQ is expected to deliver unprecedented growth with a CAGR of 111% for the next three years, compared to 75% and 101% for Rigetti Computing and D-Wave Quantum.
Revenue Prediction
HedgeMix using data from Seeking Alpha
IonQ also has significant amounts of cash at hand with total cash surpassing $365 million in its most recent quarter. This coupled with a surprisingly low debt level indicates low financial risk and increased shareholder value as share dilution may be avoided, something that is not true for Rigetti Computing who recently announced a $100 million stock offering. The quick ratio which measures a company’s ability to meet its near-term financial obligations is at an astonishing 11.51 for IonQ. This means that IonQ has more than 11 times the money to cover its short-term obligations, which is far above that of both Rigetti Computing and D-Wave Quantum. So, in terms of financial health IonQ is a clear winner.
Balance Sheet Metrics
Seeking Alpha
Valuation
Turning to the valuation of IonQ, let’s be clear that it's hard to value a company using traditional methods when neither earnings nor cash flow is positive. But let’s assume that revenues will grow by 100% per year for the next five years, which is a highly achievable assumption taking into account that IonQ is in a hyper-growth phase. This growth estimate is also in line with Wall Street estimates published on Seeking Alpha up to 2027. Based on this assumption, IonQ will reach revenues of $1.2 billion by FY2029.
Metrics Forecast
HedgeMix
We also make the following two assumptions:
Gross Margin: 60% (based on IonQ’s historical rate of 50% and adjusting for a slight improvement due to economies of scale).
Operating Expenses less Stock Based Compensation: $130 million FY2024 growing by 30% annually (in line with IonQ’s historical rates).
DCF Model
HedgeMix
Based on the above assumptions, we estimate that IonQ will generate roughly $237 million in positive operating cash flow by FY2029. Add to that an intermediate growth rate of 25% (which is far below the industry projections to stay safe), and a perpetual growth rate of 5% and we get a target price of roughly $185 per share by 2029. Discounted to today’s value, the target price is $126. This is a conservative measure. The stock could potentially go much higher than so.
Risks
Although we are highly bullish on this stock, there are some risks worth highlighting.
First, Quantum stocks like IonQ are pricing in significant future growth. It's true that IonQ is currently in a stage of hyper-growth, but if revenue growth begins to slow in the next few years, that could lead to a sharp sell-off taking the stock lower.
Also, Quantum Computing is just starting to see the commercialization of its technology, and it's still too early to say with certainty which technology will make it in this technology race. However, so far, Ion trapped Quantum Computers look very promising with market-leading coherence and wide applicability, and IonQ is THE stock in this niche.
There is also the chance that macro headwinds will create a bear market for US equity markets. The Federal Reserve is seeing a slight increase in inflation for FY2025 compared to its September forecast, and has already signaled that fewer rate cuts than previously anticipated will take place in FY2025. So, as the Fed is taking a step back in terms of economic stimulus, that could have a dampening effect on US equity markets.
Takeaway Message
If you're looking for a Quantum stock with the right fundamentals, IonQ is the stock to choose from. Apart from having a very promising technology, Ion Trapped Quantum Computing, they are in close partnership with Big Tech to ensure their technology is made available to the greater masses.
IonQ is starting to reap the fruit of its inventions. The company is leading the way in terms of topline growth and is uniquely positioned to benefit from the futuristic market of Quantum Computing. IonQ is solving real-world problems as we speak and has taken quantum computing out of the lab into commercialization.
This is a company that is expected to grow revenues by a massive 111% per year up to 2027. That's just outstanding, and it will act as a major catalyst for its share price to keep surging. Our target price for the stock is $126, posing a massive 174% upside. So, for the tech-savvy investor, IonQ is a must-have.
doc2016
2 días hace
from google notebook lm:"Briefing Document: Patent Trends of IonQ and NVIDIA
This document analyzes recent patents assigned to IonQ, Inc. and NVIDIA Corporation, highlighting key themes and important takeaways.
IonQ, Inc.: Focus on Trapped-Ion Quantum Computing Advancements
IonQ's patent portfolio emphasizes its commitment to developing and refining trapped-ion quantum computing technology. Key themes include:
1. Software-Defined Quantum Computing: IonQ is developing a "software-defined quantum computer" architecture (patent numbers 12165007, 12159194). This architecture employs an API, a quantum OS with resource management and switching capabilities, and interconnected quantum cores. The resource manager optimizes qubit allocation across the cores, demonstrating a focus on efficient resource utilization and flexible programming.
2. Hybrid Quantum Computation: Patent 12154002 outlines IonQ's work on hybrid quantum computation, enabling the seamless integration of classical CPU and quantum QPU processing. This technology underscores IonQ's ambition to bridge the gap between classical and quantum computing, facilitating practical applications.
3. Enhanced Qubit Control and Gate Operations: IonQ is actively innovating in areas like: * Micromotion Compensation: Patent 12164072 introduces methods for compensating micromotion, a critical challenge in trapped-ion systems, leading to improved qubit fidelity. * Parallel Multi-Qubit Operations: Patent 12141657 describes techniques for parallel multi-qubit gate operations, increasing computational efficiency on their universal ion trap quantum computers. * Light-Shift Correction: Patent 12130234 details methods for correcting light-shift effects in both single- and two-qubit gates, again enhancing gate fidelity and overall performance. * Control of MS Gates and Handling Asymmetric Errors: Patents 12086691 and 11886956 present techniques for precise control of Mølmer-Sørensen (MS) gates and mitigation of asymmetric errors, further improving the accuracy of quantum computations.
4. Hardware and System-Level Advancements: * Novel Atomic Ovens: Patent 12106926 discloses the development of atomic ovens based on electric discharge for efficient production of ion streams. * Advanced Raman Systems: Patent 12088351 describes a double individual-addressing multi-beam Raman system, enabling precise control of individual qubits within a chain. * Scalable Waveform Generators: Patent 11899292 details scalable and programmable coherent waveform generators, essential for controlling optical beams targeting individual qubits.
NVIDIA Corporation: Leveraging AI and Deep Learning for Diverse Applications
NVIDIA's patents highlight their focus on advancing artificial intelligence (AI) and deep learning (DL) across a range of applications:
1. Autonomous Systems and 3D Perception: * 3D Surface Reconstruction: Patent 12172667 utilizes DL for dense point cloud generation from sparse 3D data, enabling detailed environment reconstruction for autonomous systems. * Lane Closure/Opening Detection: Patent 12174034 leverages sensor data to detect lane changes and update high-definition maps in real time, crucial for autonomous navigation. * Obstacle Perception Safety Zones: Patent 20240400101 introduces refined safety zone calculations based on ego-vehicle maneuvers, enhancing safety and efficiency in obstacle avoidance. * Top-Down Object Detection: Patent 12164059 uses DL for object detection from LiDAR data, enabling accurate identification and localization of objects for autonomous driving applications. * In-Cabin Hazard Prevention: Patent 12162418 utilizes DL to analyze occupant activity and prevent potential hazards, prioritizing safety inside autonomous vehicles.
2. Advanced Imaging and Graphics Rendering: * Optical Center Determination: Patent 12175711 describes a technique for accurately determining the optical center in an image, essential for camera calibration and image processing. * Signed Distance Function Rendering: Patent 12175588 introduces a method to avoid self-intersections when rendering signed distance functions, leading to more realistic and efficient 3D graphics. * Dense Correspondence Learning: Patent 12169882 explores the use of DL to learn dense correspondences between images, enabling applications like image manipulation and semantic understanding. * Multi-View Image Analysis: Patent 12164599 leverages neural networks for volumetric quantification from multiple object views, enhancing 3D object analysis.
3. High-Performance Computing and Data Center Technologies: * Hardware Codec Accelerators: Patent 12170757 focuses on hardware-accelerated video encoding for real-time performance using parallel and sequential processing. * Parallel Non-Maximum Suppression: Patent 12175739 introduces parallel circuits for Non-Maximum Suppression, improving object detection speed and efficiency. * Datacenter Cooling Systems: Patents 12174602 and 12160981 highlight NVIDIA's advancements in efficient and intelligent cooling systems for data centers, addressing growing computational demands.
4. Machine Learning and Molecule Generation: * Neural Network Architecture Search: Patent 12175350 combines differentiable architecture search with reinforcement learning to optimize neural networks for accuracy and efficiency. * Retrieval-Based Molecule Generation: Patent 12159694 presents a novel framework for generating candidate molecules using a pre-trained encoder-decoder model and retrieval techniques, promising advancements in drug discovery.
5. Video Streaming and Digital Avatars: * Digital Avatar Optimization: Patent 12167169 explores using digital avatars to optimize video streaming, potentially reducing bandwidth requirements and enhancing user experience.
Conclusion
Both IonQ and NVIDIA are actively developing cutting-edge technologies in their respective fields. IonQ's focus on trapped-ion quantum computing advancements showcases their drive to push the boundaries of this emerging technology. NVIDIA, on the other hand, is leveraging AI and DL to drive innovation across diverse applications, solidifying its position as a leader in high-performance computing and visual computing. These patents provide valuable insight into the strategic direction and future ambitions of both companies."
Konaploinks
3 días hace
Recap. IonQ Strengthens Technical Moat with its Latest Series of Issued Patents
November 12, 2024
New and pending patents reflect IonQ’s leadership in quantum computing performance and scalability
Technical highlights include a new method for control and flexibility in gate operations and a unique low-error technique for controlling gate operations
COLLEGE PARK, Md.--(BUSINESS WIRE)-- IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, announced today the issuance of five new U.S. patents designed to deliver benefits across multiple industries and applications. With the pending acquisition of Qubitekk’s 118 patents, IonQ will have a total of over 600 U.S. and international issued and pending patents, standing apart from similarly-sized quantum companies based on its strength of IP protection and extensive combination of patents across different verticals.
IonQ has made strategic technological and architectural choices to uniquely balance the core elements of commercial advantage – performance, scale, and enterprise-grade capabilities – and these patents represent leadership in all of those key areas. The new patents announced today build upon IonQ’s technical achievements including quantum circuit optimization, improved gate operations, reduced noise, error mitigation techniques, and multi-beam improvements.
“The technical achievements and patents announced today provide a glimpse into how IonQ’s research and development teams are driving the production of scalable, high-performance, enterprise-grade systems,” said Dean Kassmann, SVP of Engineering & Technology at IonQ. “These patents signal to the industry our strong technical innovations and our strategic, well-considered path towards performance that provides commercial quantum advantage over classical computing.”
“IonQ’s robust and growing portfolio of patents is a direct result of the strategy set forth five years ago, which entails developing and owning quantum technologies across multiple industries and applications,” said Peter Chapman, President & CEO of IonQ. “These patents put IonQ in a position to continue to develop scalable, high performance systems to solve some of the world’s most complex questions, under the protection of the U.S. Patent and Trademark Office.”
Of the new patents, the most notable (US Patent No. 12,088,351) reflects the evolution of IonQ’s system architecture to significantly improve system performance. Instead of a single, large laser beam entering the ion trap from one side, the new architecture introduces multiple individual lasers that enter the ion trap from both sides. This architecture demonstrates new ways to accurately control long-chain ions and sets IonQ up to scale future systems.
Patent details include:
Performance: These patents include novel methods to increase control, efficiency, and flexibility of quantum systems to drive better performance for customer applications.
US Patent No. 12,088,351, “Double Individual-Addressing Multi-Beam Raman System,” issued on September 10, 2024. The patent recognizes IonQ’s unique method for controlling the individual laser beams that are trapping its ion – both upon entry and exit. Whereas previous techniques offered control in only one direction, this new approach introduces a way to control the individual beams for each atom while requiring fewer laser beams overall – a critical hurdle to achieving scale.
US Patent No. 12,033,031 , titled “Quantum Circuit Optimization,” issued on July 9, 2024. The patent recognizes IonQ’s development of an optimization tool that compiles quantum algorithm code to run as efficiently as possible on physical quantum hardware.
US Patent No. 12,056,573, titled “Amplitude, Frequency, and Phase Modulated Entangling Gates for Ion Trap Quantum Computers,” issued on August 6, 2024. The patent recognizes IonQ’s development of an efficient and effective way to control all features of laser beams that ‘trap’ ions in its systems. The technique provides maximum control and flexibility in how users conduct gate operations.
Error Handling: This patent highlights IonQ’s differentiating approaches to improving error correction and in turn, performance.
US Patent No. 12,086,691, titled “Techniques for Controlling Small Angle Mølmer-Sørensen Gates and for Handling Asymmetric Spam Errors,” issued on September 10, 2024. The patent recognizes IonQ’s unique low-error technique for controlling gate operations, specific to Mølmer-Sørensen gates.
Scale: This patent highlights IonQ’s scalable manufacturing and computing techniques which further their enterprise-grade capabilities.
US Patent No. 12,028,604 , titled “Camera Server for Heterogeneous Cameras,” issued on July 2, 2024. The patent recognizes IonQ’s development of a global camera server that allows the use of different camera sets interchangeably across quantum systems when capturing snapshots of trapped ion, and subsequently provides a readout.
To learn more about IonQ and its latest system news and business developments, visit https://ionq.com
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