Or Manor’s Post

“Real Life QuantumSphere” by Perplexity 12:54 am PDT, Wednesday, April 24, 2024 Based on the search results, several companies are working on integrating classical and quantum computing: IBM is a leader in this area, with their IBM Quantum initiative that encompasses improving the full quantum computing technology stack as well as investigating applications. They have developed the IBM Quantum Services platform, which provides access to cloud-based quantum systems and simulators that can be integrated with classical computing[1][4]. Microsoft is also active in this space, with their Azure Quantum platform that allows access to quantum computers from providers like IonQ and Quantinuum, and enables the integration of quantum and classical computing through their Quantum Development Kit (QDK) and Q# programming language[1][3]. Amazon Web Services (AWS) has been collaborating with quantum technology providers and researchers to expand the availability of quantum computers like Aquila on their Braket platform, enabling the integration of quantum and classical computing[1]. The search results also mention that Nvidia is developing systems like DGX Quantum for quantum-classical computing, highlighting their role in advancing the integration of these technologies[1]. Additionally, companies like Lockheed Martin and Mphasis have been exploring the use of quantum computers for specific applications like verification and validation, and optimization and simulation, respectively, demonstrating their efforts to combine quantum and classical computing[2][3]. In summary, the key companies working on integrating classical and quantum computers include IBM, Microsoft, Amazon, Nvidia, Lockheed Martin, and Mphasis[1][2][3][4]. Sources [1] 18 Public Quantum Computing Companies that can Potentially ... https://lnkd.in/gcrj4kdn [2] Public Companies List - Quantum Computing Report https://lnkd.in/g-76725p [3] 20 Corporations Working On Quantum Computing - CB Insights https://lnkd.in/g4RfTHPT [4] Top 10 Quantum Computing Companies in 2022 - GreyB https://lnkd.in/gfiTCCdQ [5] Practical Quantum Computing is about More Than Just Hardware https://lnkd.in/gVYRsMRg

Israel Innovation Authority Selects Quantum Machines to Establish the Israeli Quantum Computing Center! 💻 ⚙ ⏭   The quantum computing center will enable, for the first time worldwide, access to research and development in all layers of hardware and software on three different quantum processing technologies (superconducting qubits, cold ions and optic computer). The center will provide services to the Israeli quantum computing community in both industry and academia by providing a full stack quantum computer at their service, to run direct computations with a future option for cloud accessibility. From the very beginning, the center, with a total budget of NIS 100 Million for a period of three years, will include Israeli technologies from Classiq Technologies and Quantum Machines as well as globally leading technologies which will enable a fully operational infrastructure within 12-18 months with over 50 qubits computing power (at least at one technology). The center will provide R&D services to the entire Israeli innovation ecosystem, for developments such as designated quantum processors for various algorithms, development of processing topologies for VQA to solve optimization challenges, algorithms for the control of signals' engineering to improve handling of noise and signal processing performance, development of interconnected technologies between components, development of techniques, algorithms to correct errors and more. The establishment of the center will help in reducing R&D costs, enable accessibility to knowledge and guide researchers via a designated technical team, and provide a base for training new personnel for this newly growing innovation ecosystem. Read the article featured on Ynet: 👇 https://lnkd.in/drsnyDQH

The EuroHPC JU project released the tender to acquire a 50-qubit superconducting computer https://lnkd.in/e7kS2HGq The quantum computer, named Euro-Q-Exa, is to be located in Germany. Initially, it will offer 50 physical qubits, with plans to expand to at least 100 qubits later. The Euro-Q-Exa system will be hosted and operated by the Leibniz Supercomputing Centre (LRZ) in Germany and will be integrated into the LRZ's SuperMUC-NG supercomputer. This integration aims for a seamless blend of the quantum system with the high-performance computing (HPC) network, offering a unified software environment and user experience. This quantum computer will be accessible to a broad spectrum of European users, including the scientific community, industry, and the public sector. It is expected to support the development of various applications with industrial, scientific, and societal importance for Europe, enhancing the European supercomputing infrastructure. The procurement of the Euro-Q-Exa represents EuroHPC’s direct initiative to acquire quantum computing hardware. The total cost of the system is EUR 42.71 million, co-funded by the EuroHPC JU, the Federal Ministry of Education and Research (BMBF), and the Bavarian State Ministry of Science and the Arts. Additionally, in November 2023, the EuroHPC JU launched a call for proposals to establish European Quantum Excellence Centres (QECs), aiming to create knowledge hubs for quantum computing and foster a quantum computing ecosystem in Europe. Future calls are planned to focus on the development of hybrid HPC-Quantum Computing middleware technologies, as well as hybrid algorithms and applications, ensuring a comprehensive approach to developing a European quantum computing ecosystem. This initiative is part of a broader strategy by the EuroHPC JU, which has already procured nine supercomputers across Europe, including three ranked among the world's top 10 most powerful supercomputers. The EuroHPC JU, established in 2018 and revised in 2021, aims to develop a leading supercomputing and quantum computing infrastructure in the EU.

Microsoft and Quantinuum say they’ve ushered in the next era of quantum computing “Microsoft and Quantinuum today announced a major breakthrough in quantum error correction. Using Quantinuum’s ion-trap hardware and Microsoft’s new qubit-virtualization system, the team was able to run more than 14,000 experiments without a single error. This new system also allowed the team to check the logical qubits and correct any errors it encountered without destroying the logical qubits. This, the two companies say, has now moved the state-of-the-art of quantum computing out of what has typically been dubbed the era of noisy intermediate scale quantum (NISQ) computers. “Noisy” because even the smallest changes in the environment can lead a quantum system to essentially become random (or “decohere”), and “intermediate scale” because the current generation of quantum computers is still limited to just over a thousand qubits at best. A qubit is the fundamental unit of computing in quantum systems, analogous to a bit in a classic computer, but each qubit can be in multiple states at the same time and doesn’t fall into a specific position until measured, which underlies the potential of quantum to deliver a huge leap in computing power. It doesn’t matter how many qubits you have, though, if you barely have time to run a basic algorithm before the system becomes too noisy to get a useful result — or any result at all. Combining several different techniques, the team was able to run thousands of experiments with virtually no errors. That involved quite a bit of preparation and pre-selecting systems that already looked to be in good shape for a successful run, but still, that’s a massive improvement from where the industry was just a short while ago. It’s a step in the right direction for quantum computing. There are still plenty of problems to be solved (and these results need to be replicated, too, of course), but theoretically, a computer with 100 of these logical qubits could already be useful for solving some problems, while a machine with 1,000 qubits could, Microsoft says, “unlock commercial advantage.” The team used Quantinuum’s H2 trapped-ion processor and was able to combine 30 physical qubits into four highly reliable logical qubits. Encoding multiple physical qubits into a single logical qubit helps protect the system from errors. The physical qubits are entangled together so that it becomes possible to detect an error in a physical qubit and fix it. It’s this error correction that has long vexed the industry: The lower the noise and the higher the quality of the physical qubits, the better, of course, but without sophisticated error correction, there is no way out of the NISQ era because these systems will all decohere sooner rather than later. “Merely increasing the number of physical qubits with a high error rate…continue 👇🏻 https://lnkd.in/g_NPWFNK

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

BY AMAZON: AWS launches new quantum computing center! Amazon Web Services (AWS) Center for Quantum Computing opens new facility at the California Institute of Technology with the aim of building a bigger, more accurate quantum computer. Quantum computers have the potential to drive major advances in everything from medicine, to manufacturing, to the way we produce materials. But while quantum computers could help us solve problems currently out of reach of conventional computers, they are also much more prone to making mistakes—mainly because they are incredibly sensitive to the smallest changes in their environment. Amazon launched the AWS Center for Quantum Computing in 2019 with a goal of accelerating the development of quantum computing technologies and applications. Now, the company is launching a new facility for quantum computing at the California Institute of Technology (Caltech) with the ambitious goal of building a "fault-tolerant" quantum computer. Teams will focus on developing more powerful quantum computing hardware and identifying new applications for quantum technologies. Here are five challenges they'll be wrapping their heads around: Making more and better qubits Conventional computers use bits—usually represented as a value of 1 or 0 in code—as their most basic unit of information. A bit can be anything with two distinct states. For example, a light that is either on or off, or a door that is either open or closed. But quantum computers use quantum bits, or "qubits"—usually elementary particles such as electrons or photons—to make calculations. Unlike bits, qubits can be manipulated to exist in a quantum state known as superposition, where they are both 1 and 0 at the same time, as well as all the possible states in between. This, along with some other equally mind-bending behaviors of qubits in a quantum state, allow quantum computers to perform certain calculations exponentially more efficiently than any current or future conventional computer. The AWS team will construct qubits from superconducting materials, such as aluminum patterned into electrical circuits on silicon microchips. That's because the techniques to manufacture these are well understood, making it possible to produce many more qubits, in a repeatable way, and at scale. Keeping the noise down The ability of qubits to exist in a quantum state is what gives quantum computers the potential to be massively more powerful than conventional computers when performing certain calculations. But keeping qubits in this state is—to put it mildly—a massive headache. Even the tiniest changes in their environment (referred to by quantum scientists as "noise"), such as vibrations or heat, can knock them out of superposition, causing them to lose information and become more error prone. The key to building successful quantum computers lies in controlling these errors. ........... https://lnkd.in/ek3PTUdG

BY AMAZON: AWS launches new quantum computing center! Amazon Web Services (AWS) Center for Quantum Computing opens new facility at the California Institute of Technology with the aim of building a bigger, more accurate quantum computer. Quantum computers have the potential to drive major advances in everything from medicine, to manufacturing, to the way we produce materials. But while quantum computers could help us solve problems currently out of reach of conventional computers, they are also much more prone to making mistakes—mainly because they are incredibly sensitive to the smallest changes in their environment. Amazon launched the AWS Center for Quantum Computing in 2019 with a goal of accelerating the development of quantum computing technologies and applications. Now, the company is launching a new facility for quantum computing at the California Institute of Technology (Caltech) with the ambitious goal of building a "fault-tolerant" quantum computer. Teams will focus on developing more powerful quantum computing hardware and identifying new applications for quantum technologies. Here are five challenges they'll be wrapping their heads around: Making more and better qubits Conventional computers use bits—usually represented as a value of 1 or 0 in code—as their most basic unit of information. A bit can be anything with two distinct states. For example, a light that is either on or off, or a door that is either open or closed. But quantum computers use quantum bits, or "qubits"—usually elementary particles such as electrons or photons—to make calculations. Unlike bits, qubits can be manipulated to exist in a quantum state known as superposition, where they are both 1 and 0 at the same time, as well as all the possible states in between. This, along with some other equally mind-bending behaviors of qubits in a quantum state, allow quantum computers to perform certain calculations exponentially more efficiently than any current or future conventional computer. The AWS team will construct qubits from superconducting materials, such as aluminum patterned into electrical circuits on silicon microchips. That's because the techniques to manufacture these are well understood, making it possible to produce many more qubits, in a repeatable way, and at scale. Keeping the noise down The ability of qubits to exist in a quantum state is what gives quantum computers the potential to be massively more powerful than conventional computers when performing certain calculations. But keeping qubits in this state is—to put it mildly—a massive headache. Even the tiniest changes in their environment (referred to by quantum scientists as "noise"), such as vibrations or heat, can knock them out of superposition, causing them to lose information and become more error prone. The key to building successful quantum computers lies in controlling these errors. ........... https://lnkd.in/e4RXH45G

Our new QUTAC paper is on arxiv 👋 . It was a long insightful journey driven by curiosity: "How does it work and what can you do with it?". Writing this together with such high caliber colleagues (*) is really rewarding, and thanks goes also to all the providers (#) who spent time with us to discuss and gave insight into their roadmaps and technology. Before final journal submission we like to invite everyone for critical read and feedback and bring forward potential performance updates that might have seen the light in the last days that are not yet reflected. https://lnkd.in/epEtQj7K Ion-Based Quantum Computing Hardware: Performance and End-User Perspective - This is the second paper in a series of papers providing an overview of different quantum computing hardware platforms from an industrial end-user perspective. It follows our first paper on neutral-atom quantum computing. In the present paper, we provide a survey on the current state-of-the-art in trapped-ion quantum computing, taking up again the perspective of an industrial end-user. To this end, our paper covers, on the one hand, a comprehensive introduction to the physical foundations and mechanisms that play an important role in operating a trapped-ion quantum computer. On the other hand, we provide an overview of the key performance metrics that best describe and characterise such a device's current computing capability. These metrics encompass performance indicators such as qubit numbers, gate times and errors, native gate sets, qubit stability and scalability as well as considerations regarding the general qubit types and trap architectures. In order to ensure that these metrics reflect the current state of trapped-ion quantum computing as accurate as possible, they have been obtained by both an extensive review of recent literature and, more importantly, from discussions with various quantum hardware vendors in the field. We combine these factors and provide - again from an industrial end-user perspective - an overview of what is currently possible with trapped-ion quantum computers, which algorithms and problems are especially suitable for this platform, what are the relevant end-to-end wall clock times for calculations, and what might be possible with future fault-tolerant trapped-ion quantum computers. (*) Thomas Strohm Dr. Karen Wintersperger Florian Dommert Daniel Basilewitsch Georg Reuber Andrey Hoursanov Davide Vodola Sebastian Luber For Bosch Research Siemens TRUMPF Lufthansa Industry Solutions, SAP Merck Group BASF Infineon Technologies (#) providers are: AQT Alpine Quantum Technologies, eleQtron GmbH, IonQ, neQxt GmbH, Oxford Ionics and Quantinuum

Yonatan Cohen, #CTO of Quantum Machines is my guest on this week's Superposition Guy's podcast. Listen here: https://hubs.ly/Q02vkKs20 Read the transcript here: https://hubs.ly/Q02vkKnk0 Here are the key points: - Company Mission and Services: Quantum Machines aims to accelerate the development of practical quantum computers by providing advanced control electronics, encompassing both hardware and software layers essential for quantum computing operations. This technology is crucial for enabling faster progression towards effective quantum computing solutions. - Customer Base Evolution: Initially, Quantum Machines' primary customers were academic institutions engaged in quantum research. Over time, the company's clientele expanded to include companies building quantum computers, reflecting a broader industry shift from academia to commercial development. Quantum Machines supports the growing specialization within the quantum computing industry by offering essential components for full-stack quantum computing systems. - Technological Focus Areas: The company focuses on three critical areas: qubit control, calibration, and error correction. Their technology integrates classical computing power into quantum control systems, enabling sophisticated calibration, parameter retuning, and error correction, which are pivotal for the advancement of quantum computing. - Scalability: Quantum Machines emphasize the importance of maintaining flexibility for users to adapt control protocols and algorithms through software. - Collaboration with NVIDIA: Quantum Machines has partnered with NVIDIA to address the need for powerful error decoding in large-scale systems. This collaboration aims to provide low-latency, high-performance computing resources necessary for efficient error correction and control at scale. - Quantum Computing Center in Israel: Quantum Machines is involved in establishing a quantum computing center in Israel to bolster the country's presence in the quantum computing landscape. This center will also serve as a showcase for Quantum Machines' products within a comprehensive quantum computing system, promoting integration with other technology solutions. - Hybrid Quantum-Classical Algorithms: The company's control systems support hybrid algorithms by deeply integrating classical compute engines into the control infrastructure. This integration enables the seamless execution of quantum and classical operations within the same program, facilitating the development of applications that leverage the strengths of both quantum and classical computing. - Vision and Optimism for Quantum Computing: Yonatan expresses optimism about the potential to develop large-scale, fault-tolerant quantum computers within the next decade.