Fabrice CARRANCE (Maths-Fi) 🇺🇦’s Post

QNDX Unveils the Dawn of Quantum Computing's Next Evolution Jerome V. Dwyer, MD, MBA Daniel Didier ST. LOUIS - QuantumNextDX (QNDX), a globally acclaimed and privately held enterprise, is poised to redefine the landscape of quantum computing with the development of their state-of-the-art 100,000 qubit quantum computer. This groundbreaking innovation harnesses the immense computational speed of quantum computing to expedite the development of pioneering solutions, cutting-edge technologies, groundbreaking treatments, and transformative applications across a diverse range of industries. Quantum computing has the potential to revolutionize several key sectors, including the domains of health, climate change, cyber security, artificial intelligence, and geospatial among many others. Existing quantum computers remain in their nascent developmental stages, characterized by limitations in computational prowess, instability, and susceptibility to errors. Upon gaining access to a quantum computer for the modeling of Covid-19 and HIV receptor binding sites, QNDX swiftly identified the inadequacies of prevailing technology, particularly quantum computers with 100 or fewer qubits. In response, QNDX has undertaken research and development of its own quantum computer, equipped with an impressive 100,000 qubits. This quantum system surpasses all contemporary developments in the quantum computing field, providing the essential computational capacity to support our projects. At the core of QNDX's mission is the conception of quantum systems housing homogeneous, individually manageable qubits. This innovation constitutes a pivotal stride forward in quantum computing technology. The unique architectural design of the QNDX quantum computer stabilizes qubits, thereby endowing quantum computers with numerous advantages such as heightened carrier mobility, reduced power consumption, scalability, and unrivaled reliability. Jerome V. Dwyer, MD, MBA, Co-Founder, CEO and President of QNDX, remarks, "We ardently believe that our next-generation quantum computer, complemented by pioneering software and algorithms, possesses the potential to ascend to the pinnacle of quantum computing achievements. This breakthrough is poised to have a profound and far-reaching impact on an array of industries, encompassing medicine, materials science, and geospatial." Dan Didier, MS, Co-Founder, CSO and Vice President of QNDX, underscores the significance, stating, "Our quantum computer represents a monumental leap in the domain of quantum computing capabilities. We envision it as a harbinger for the development of novel products and services that will redound to the benefit of society as a whole." This landmark achievement firmly establishes QNDX as a frontrunner in the realm of quantum computing, ushering in a brighter future for innovation and complex problem-solving across diverse fields. Media inquiries: Tina Sappington, VP/Director of Purpose and Impact TSappington@QNDX.com 

What are some potential applications of quantum computing Quantum computing has the potential to revolutionize various industries and solve complex problems that are beyond the reach of classical computers. Here are some of the potential applications of quantum computing: - **Artificial Intelligence and Machine Learning**: Quantum computing's ability to process vast amounts of data simultaneously can significantly enhance AI and machine learning algorithms, leading to more accurate predictions and faster training[1][3]. - **Cybersecurity and Cryptography**: Quantum computers can help develop more secure encryption methods and break existing cryptographic systems, leading to advancements in secure communication and data protection[1][6]. - **Material Science and Drug Development**: Quantum computing can simulate quantum systems, enabling a better understanding of molecule and material behavior. This can benefit industries such as materials science, drug discovery, and optimization of logistics and supply chains[4][6]. - **Financial Modeling and Optimization**: Quantum computing's ability to solve complex combinatorial problems quickly can be applied to financial modeling, portfolio optimization, and risk analysis, leading to more efficient and accurate financial decision-making[2][6]. - **Traffic Optimization and Weather Forecasting**: Quantum computing can help optimize traffic flow, minimize waiting times, and improve weather forecasting and climate change modeling by processing large amounts of data and complex algorithms[3][6]. - **Energy and Environmental Solutions**: Quantum computing can contribute to the development of better batteries, cleaner fertilization methods, and more efficient solar capture technologies, leading to advancements in renewable energy and environmental sustainability[3]. - **Supply Chain Optimization**: Quantum computing can help optimize R&D, production, and supply chain processes in various industries, leading to cost savings and improved efficiency[5]. While quantum computing is still in its early stages, these potential applications highlight the exciting possibilities that this technology can bring in the future. As researchers and engineers continue to advance quantum hardware and algorithms, we can expect more practical use cases to emerge, transforming industries and solving some of humanity's greatest challenges[4]. Citations: [1] Explore 7 future potential quantum computing uses - TechTarget https://lnkd.in/gZvijxF9 [2] Quantum Computing Is Coming. What Can It Do? - Harvard Business Review https://lnkd.in/gT9kJJGk [3] 10 Quantum Computing Applications and Examples - Built In https://lnkd.in/gsHsJce5 [4] 5 Crucial Quantum Computing Applications & Examples https://lnkd.in/gJDxsp38

IonQ plans quantum data center in Switzerland Company to deliver first European systems to Basel tech campus US Quantum computing firm IonQ plans to deploy two of its systems in #Switzerland and to establish a #European #quantum #DataCenter in #Europe. The company this week announced a partnership with QuantumBasel to deploy two quantum computers the Swiss company’s Center of Competence for Quantum & AI, located on a technology campus outside Basel. The transaction is expected to bring two systems, one that will be capable of 35 algorithmic qubits (AQ) followed by another system capable of 64 AQ. Neither specifications of the new data center nor timelines for deployment were shared. These will be the company's first quantum computers delivered to Europe. Currently, IonQ's systems are hosted in its US data center in Maryland, with the company planning a second facility in Seattle, Washington. Access to the company’s existing systems is available through the company’s own web portal or various cloud providers. Peter Chapman, CEO and president of IonQ, said: “In QuantumBasel, we have found a partner who is aligned on the potential of quantum to solve the world’s most complex challenges. At #AQ 35, we expect the first system we deliver to QuantumBasel to be on the verge of exceeding the capabilities of quantum simulators on classical computers. With #AQ 64, we believe even the best supercomputers will no longer be able to compete using full quantum simulation. We expect many applications to attain quantum advantage at this scale, ushering in a new era in computing. This is the system that organizations have been waiting for and we’re glad to have QuantumBasel join us on this journey.”... “We are pleased to partner with IonQ to drive quantum innovation in Switzerland and to accelerate problem-solving in our quantum computing ecosystem,” added Damir Bogdan, CEO of QuantumBasel. “Offering IonQ’s systems to our enterprise and research customers enables them to explore novel quantum techniques and approaches. We look forward to seeing what new breakthroughs are possible as more people become increasingly familiar with the power of quantum. “Bringing IonQ systems on-site will expedite and improve our pursuit of quantum innovation, furthering our goal of achieving breakthroughs,” said Thomas Staehelin, investor and president of the board of UptownBasel. “For example, biopharma is a key focus area for quantum computing. Partnering with IonQ puts us one step closer to enhancing the drug discovery process and running complex in silico simulations, ultimately expanding access to necessary treatments for diseases that are incurable today.” “Quantum accessibility is a core tenet to IonQ’s business, and we welcome partners and potential users to join us and be an integral part in the development of quantum algorithms and applications for a variety of industries for years to come,” said Noam Zakay, managing director, IonQ GmbH.

'The era of useful, mass-producible, mass-access quantum computing is what IBM is promising. But now, there’s the matter of scale. And there’s the matter of how cost-effective it is to install a Quantum System Two or Five or Ten compared to another qubit approach – be it topological approaches to quantum computing, or oxygen-vacancy-based, ion-traps, or others that are an entire architecture away from IBM’s approach, such as fluxonium qubits. It’s likely that a number of qubit technologies will still make it into the mass-production stage – and even then, we can rest assured that everywhere in the road of human ingenuity lie failed experiments, like Intel’s recently-decapitated Itanium or AMD’s out-of-time approach to x86 computing in Bulldozer. It's hard to see where the future of quantum takes us, and it’s hard to say whether it looks exactly like IBM’s roadmap – the same roadmap whose running changes we also discussed here. Yet all roadmaps are a permanently-drying painting, both for IBM itself and the technology space at large. Breakthroughs seem to be happening daily on each side of the fence, and it’s a fact of science that the most potential exists the earlier the questions we ask. The promising qubit technologies of today will have to answer to actual interrogations on performance, usefulness, ease and cost of manipulation, quality, and scalability in ways that now need to be at least as good as what IBM is proposing with its transmon-based superconducting qubits, and its Herons, and scalable Flamingos, and its (still unproven, but hinted at) ability to eventually mass produce useful numbers of useful Quantum Processing Units such as Heron. All of that even as we remain in this noisy, intermediate-scale quantum (NISQ) era. It’s no wonder that Oliver Dial looked and talked so energetically during our interview: IBM has already achieved quantum usefulness and has started to answer the two most important questions – quality and scalability, Development, and Innovation. And it did so through the collaboration of an incredible team of scientists to deliver results years before expected, Dial happily conceded. In 2023, IBM unlocked useful quantum computing within a 127-qubit Quantum Processing Unit, Eagle, and walked the process of perfecting it towards the revamped Heron chip. That’s an incredible feat in and of itself, and is what allows us to even discuss issues of scalability at this point. It’s the reason why a roadmap has to shift to accommodate it – and in this quantum computing world, it’s a great follow-up question to have. Perhaps the best question now is: how many things can we improve with a useful Heron QPU? How many locked doors have sprung ajar?' https://lnkd.in/eUZAa3xT

When I first heard mention of neutral-atom quantum computing, my first thought was that it should be roughly comparable to trapped-ion quantum computing, but the deeper I dug into it, I discovered that is not the case. Although trapped-ion quantum computers have a rough correspondence to superconducting transmon quantum computers, with comparable qubits, gates, and circuits, neutral-atom quantum computers are an entirely different ball game, largely because they tend to focus on an analog-style of operation rather than the more digital-style of operation of trapped ions and transmon qubits. I have to say "tend to focus" because there are variations between the offerings of the various vendors of neutral-atom quantum computers - ColdQuanta/Infleqtion, Atom Computing, QuEra, PASQAL, planqc, et al. Some offer both analog and digital (gate-based) modes of operation. Some promise that on their roadmap, but don't yet have it. Some offer gate-based, but not yet for public usage - only for select customers. And there is no sense of a standard for any of this. It all has the feel of a rough work in progress. To my mind, analog mode is essentially a software-configurable physics experiment. You set up the physics experiment, run it, and then measure the results. Not quite the same as general-purpose computing algorithms. Are gate-based neutral-atoms qubits compatible with transmon and trapped-ion qubits? Sometimes, maybe, sort of, but it all gets vague. Sometimes they offer a transpiler to deal with any incompatibility between Qiskit-compatible gates and native neutral-atom gates, but I have to wonder about efficiency and precision, error rates, and qubit connectivity. That doesn't mean it can't all be worked out, but it all feels just a little bit not quite ready for prime time, too tentative, and too likely to change at any moment. At present, neutral-atom qubits seem a little bit too esoteric - although not as outright far-left-field esoteric and just plan weird as photonic "qubits" (if they can really be called qubits in any compatible sense with the other qubit technologies/modalities!) Maybe the bottom line we just need to wait a bit, months or maybe a year or two, for some of these issues to be sorted out. At least in terms of achieving a stable platform for general-purpose quantum computing. In short, at present, overall, I consider quantum computers based on neutral-atoms as special-purpose quantum computing devices rather than true general-purpose quantum computers. They may be fine for specialized niche applications, but users will have to pick and choose their use cases with great care, for now. #QuantumComputing #QuantumApplications #QuantumAlgorithms #NeutralAtomQuantumComputer #NeutralAtomQuantumComputing #ColdQuanta #Infleqtion, #AtomComputing, #QuEra, #PASQAL, #planqc #QuantumInformationScience #QIS #Quantum https://lnkd.in/ej4hxg4T