Leiden University Collaborates with Taiwan on Photonic Quantum Computing

In the pursuit of powerful and stable quantum computers, researchers at Chalmers University of Technology, Sweden, have developed the theory for an entirely new quantum system. #Engineering #Computing #Research

How Sensitive Are The Computers Of The Future? - Eurasia Review A team of researchers, including physicists from Freie Universität, recently published a study in Nature Physics establishing the precise limitations of near-term quantum computing. They found that current noisy systems can only perform complex calculations to a limited extent, fundamentally restricted by how accurately their individual operations function. Conventional computers process information in classical bits, representing a zero or a one. Quantum computers run on qubits, which can exist as a zero, a one, or a superposition of both. This superposition allows scientists to manipulate many states at once, providing the power to solve problems classical computers cannot, like factorizing incredibly large numbers. However, quantum systems face a severe sensitivity problem. They are the Goldilocks of technology; everything must be exactly right. The slightest external disruption causes decoherence, a loss of quantum information that nullifies the system's computing advantage. To deal with this, scientists explore the near-term regime, accepting that errors will occur while running systems as reliably as possible despite the noise. The study found this approach is dictated by gate fidelity, which measures how accurately a quantum gate performs its operation compared to an ideal, noise-free version. What this does and does not mean: This study does not mean near-term quantum computing is a dead end. Instead, it provides a theoretical limit for these systems. It proves that if engineers push gate fidelity high enough, imperfect quantum computers can still execute large, practically relevant calculations, offering a specific direction for future hardware development. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #GateFidelity #Decoherence #NaturePhysics https://lnkd.in/eszhXeTQ

Quantum computing: A tech race Europe could win? - BBC European technology companies are emerging as strong contenders in the global race to develop practical quantum computers. With several promising firms making steady progress, Europe is demonstrating that it can compete in the highly advanced quantum technology sector. To understand why this field is so intensely competitive, we must examine how quantum systems process information from the ground up. Classical computers rely on bits, which function as microscopic switches set to a definitive 0 or 1. Quantum computers operate using quantum bits, or qubits. Through a core principle called superposition, a qubit can exist in a combination of both 0 and 1 at the same time. The computational power deepens further through entanglement. When qubits become entangled, the state of one qubit becomes fundamentally linked to another. As researchers add more high-quality qubits to a system, its processing capacity scales exponentially. By applying operations known as quantum gates to these entangled qubits, scientists can run advanced quantum algorithms designed to solve highly complex problems that classical supercomputers simply cannot process. This recognition of European progress means the global quantum ecosystem is diversifying, which can accelerate innovation in different hardware approaches. However, it does not mean that the race is over or that everyday quantum computing is imminent. Today's qubits are highly sensitive to environmental noise, which introduces calculation errors. Scaling up hardware while successfully developing robust error correction remains a formidable barrier. The pursuit of a fully fault-tolerant quantum computer is a marathon, requiring years of continued scientific research. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #EuropeanTech #TechRace #QuantumHardware https://lnkd.in/eYvc5VtQ

UC Irvine physicists discover method to reverse ‘quantum scrambling’ - UC Irvine News Physicists at the University of California, Irvine, recently published a study in Physical Review Letters detailing a method to reverse quantum scrambling, a process that causes information loss in quantum systems and was previously thought to be irreversible. To understand this, we start with the fundamental unit of a quantum computer: the qubit. While classical computers rely on bits that store data as either a 0 or a 1, a qubit can store information as a 0, a 1, or both at the same time through superposition. Researchers encode data into these individual qubits to perform calculations. As qubits exchange information within a quantum chip, a challenge emerges. When information is locally encoded into specific qubits, their interactions cause that data to spread across many other qubits. As complexity increases, the data diffuses so widely that it effectively disappears. This spreading is called quantum scrambling, and it prevents the system from retrieving information or completing calculations. The physicists analyzed how this scrambling emerges and found a method to preserve data that would typically vanish. By discovering a way to reverse the scrambling process, they showed that the original encoded information is not permanently lost and can be successfully retrieved. This development means there is a potential pathway to overcome a specific source of information loss, aiding in the design of more reliable quantum hardware. It does not mean that all error correction challenges in quantum computing have been solved, but rather that this single mechanism of data dispersion is now reversible. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #QuantumScrambling #QuantumInformation #Physics https://lnkd.in/emiPtw6j

QuEra Emphasizes Co-Designed Path to Fault-Tolerant Quantum Computing - TipRanks QuEra Computing recently shared insights on how their neutral-atom quantum systems are shifting from academic experiments to a structured engineering roadmap. The focus is on building a fault-tolerant system through a tightly co-designed technology stack. To understand this approach, we must start with the qubit. Qubits hold complex states of information but are highly sensitive to their environment, which leads to physical computation errors. To build reliable systems, scientists must achieve fault tolerance. This involves grouping multiple fragile physical qubits together to form a single, more stable logical qubit. Once formed, logical qubits can detect and correct errors, allowing them to run complex algorithms without losing information. According to QuEra's chief scientist, achieving this fault tolerance requires coordinated advancements across the entire system rather than isolated breakthroughs. The roadmap highlights several necessary technical steps: maintaining low physical error rates, ensuring analog processes operate with digital-like precision, and extracting entropy to sustain long computations. By developing basic science, engineering, and applications in parallel, the collaboration between QuEra, Harvard, and MIT aims to build a fully integrated ecosystem. This development means that developers are treating large-scale quantum computing as a cohesive engineering challenge, which could accelerate the transition to scalable hardware and improve prospects for long-term partnerships. However, it is crucial to note the limitations of this update. The shared content is a high-level research strategy. It does not provide concrete timelines, immediate commercial commitments, or clear financial implications. Creating practical quantum computers remains a steady, ongoing scientific effort. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #FaultTolerance #NeutralAtoms #LogicalQubits https://lnkd.in/esNkFu-i

In a new study, researchers including Yihui Quek and Armando Angrisani from EPFL shows how the noise in today’s quantum computers limits how much work their circuits can really do, and how this affects training and simulation. EPFL School of Computer and Communication Sciences Freie Universität Berlin Massachusetts Institute of Technology Helmholtz-Zentrum Berlin Fraunhofer Heinrich Hertz Institute HHI Université Claude Bernard Lyon 1 https://lnkd.in/eehHYeWn

Experiments led by Pasqal and Purdue University confirmed simulations run on quantum computers for the first time, as covered in Nature Portfolio. One using a Rydberg-based system, and one using an superconducting system. Meanwhile, also in Quantum Campus... * University of Central Florida demonstrated a silicon photonic waveguide capable of generating entangled photons on a superposition of up to five topological modes * University of Massachusetts Amherst and UC Santa Barbara created a chip-scale visible light laser that can drive trapped-ion optical clocks and qubits * Atom Computing and Cisco team on quantum networks Subscribe now: https://lnkd.in/gg3_-yTq #quantum #quantumcomputing #quantumnetworking Alexandre Dauphin Lucas Leclerc Yi-Ting Lee Arnab Banerjee André Schleife Abhinav Kandala Andrea Blanco Redondo Armando Pérez Leija Ian Scheffler Liang Feng

Purdue physicist Arnab Banerjee is helping push quantum computing into real materials science. In a new IBM Research feature, Banerjee and collaborators showed that an IBM quantum computer could reproduce key experimental signatures of a real magnetic material, marking an exciting step toward new tools for scientific discovery. Read more: https://lnkd.in/g47WCxgB #PurduePhysAstro #QuantumComputing

The quantum computing timeline just shifted. A new breakthrough means we might need thousands of qubits, not millions, to build a useful machine. For years, the consensus was clear: a practical quantum computer would need millions of physical qubits to create a single, stable 'logical' qubit capable of real work. The engineering challenge was staggering. Two recent advances are changing that math. First, researchers at Caltech and startup Oratomic demonstrated that neutral-atom qubits—atoms held in place by lasers—can form a logical qubit from just five physical ones. That's a massive reduction from the roughly thousand previously assumed. Second, a team at ETH Zurich showed how to make quantum operations on these atoms more error-resistant. They used the geometry of the atoms' motion itself, which is more stable than trying to perfectly time laser pulses. Together, this means the total qubit requirement for a usable machine could drop from millions to the 10,000–20,000 range. Caltech has already built arrays with over 6,000 of these neutral-atom qubits, proving the scalability. The implications are profound: 🔬 Drug discovery and material science could accelerate dramatically. 💡 Energy grids and financial models could be optimized in new ways. 🔐 Our current cryptographic security needs a proactive rethink. This isn't science fiction anymore. It's an engineering problem with a clearer, nearer path. What industry do you think will be transformed first by practical quantum computing? #QuantumComputing #TechInnovation #FutureOfTech 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gX5W3vNy

QuEra Emphasizes Measurement Science Foundations in Quantum Computing - TipRanks Quantum computing company QuEra recently released a statement highlighting the historical work of physicist Hedwig Kohn, focusing on her contributions to spectroscopy and radiometry. The company connected her early research in precision measurement to the foundations of modern atomic and optical physics, which currently support neutral-atom quantum computing experiments. To understand why historical measurement science is relevant to modern quantum hardware, it helps to examine how neutral-atom qubits operate. A qubit is the basic unit of information in a quantum computer, capable of holding complex quantum states like superposition. In a neutral-atom system, these qubits are made from individual atoms that carry no net electrical charge. Operating a quantum computer with neutral atoms requires scientists to trap and manipulate these single atoms using highly focused lasers. This relies deeply on spectroscopy, the study of how matter interacts with light, and radiometry, the science of measuring electromagnetic radiation accurately. Proper metrology, which is the foundational science of measurement, is required to achieve the exact optical control needed for quantum computation. By emphasizing Kohn's early work, the company highlights the rigorous experimental methods required to operate these delicate physical systems. As noted in the industry analysis, this update does not mean there is a new commercial hardware release or an immediate technological breakthrough from QuEra. Rather, the communication is intended for brand and culture building. It serves to position the company around strict experimental rigor, demonstrating that future advances in neutral-atom quantum computing remain deeply reliant on fundamental scientific disciplines. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #NeutralAtoms #Spectroscopy #Metrology https://lnkd.in/eKRmDc_7