Home Newsroom News The qubit: there and back again 07.05.2026Quantum Computing The qubit: there and back again Researcher Lieven Vandersypen Share this article sharer#share" data-title="The qubit: there and back again" data-url="https://qutech.nl/2026/05/07/the-qubit-there-and-back-again/" data-image="https://qutech.nl/wp-content/uploads/2026/05/banner-Web_QuTech_BatmintonShuttle_3081b-1024x439.jpg" data-subject="The qubit: there and back again" data-to=""> sharer#share" data-title="The qubit: there and back again" data-url="https://qutech.nl/2026/05/07/the-qubit-there-and-back-again/" data-image="https://qutech.nl/wp-content/uploads/2026/05/banner-Web_QuTech_BatmintonShuttle_3081b-1024x439.jpg" data-subject="The qubit: there and back again" data-to=""> sharer#share" data-title="The qubit: there and back again" data-url="https://qutech.nl/2026/05/07/the-qubit-there-and-back-again/" data-image="https://qutech.nl/wp-content/uploads/2026/05/banner-Web_QuTech_BatmintonShuttle_3081b-1024x439.jpg" data-subject="The qubit: there and back again" data-to=""> Scalable semiconductor quantum processors will need more than good qubits. They also need a practical way to connect them. In a new study, published in Nature, QuTech researchers show that it is possible to entangle electron-spin qubits while they are on the move. They then used this capability to teleport a quantum state a short distance across the chip. Beyond moving electrons across the chip, the motion can control the quantum operations themselves, which opens up new ways to scale spin-qubit processors. Setting up the conveyor belt A spin qubit is the quantum state of a single electron’s spin, which you can picture as a tiny magnetic needle which encodes quantum information. On a chip, that electron is trapped in a “quantum dot”, a small pocket in the electric potential created by voltages on metal gates. By applying signals to a line of gate electrodes, the researchers create a traveling potential minimum, somewhat 

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The qubit: there and back again

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Kembara, a technology growth fund backed by the European Union, made its first investment, supporting a British startup that builds quantum computers running on silicon chips.

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EU Startup Fund Makes First Bet With $160 Million Round in UK’s Quantum Motion

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--> Quantum Physics arXiv:2605.04329 (quant-ph) [Submitted on 5 May 2026] Title:Energy-error tradeoff in encoding quantum error correction Authors:Josey Stevens, Sebastian Deffner View a PDF of the paper titled Energy-error tradeoff in encoding quantum error correction, by Josey Stevens and 1 other authors View PDF HTML (experimental) Abstract:While it has been widely recognized that genuine quantum advantage for practical problems might only be achieved with fault-tolerant quantum computers, it is still not entirely clear whether the required quantum error correction will be physically feasible. In the present work, we carefully analyze the required energy resources to encode the logical qubit states for repetition, perfect, and Steane codes. We find that there is a universal trade-off between the target precision and the required energetic resources. Importantly, we find that the energetic resources intimately depend on the specific physical realization of a quantum error correction code, and that the required resources scale exponentially with the targeted precision of the encoding. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.04329 [quant-ph] &nbsp; (or arXiv:2605.04329v1 [quant-ph] for this version) &nbsp; https://doi.org/10.48550/arXiv.2605.04329 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Josey Stevens [view email] [v1] Tue, 5 May 2026 22:19:51 UTC (1,884 KB) Full-text links: Access Paper: View a PDF of the paper titled Energy-error tradeoff in encoding quantum error correction, by Josey Stevens and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph &lt;&nbsp;prev &nbsp; | &nbsp; next&nbsp;&gt; new | recent | 2026-05 References &amp; Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citatio

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Energy-error tradeoff in encoding quantum error correction

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by Dr. George Schwartz Executive Summary One pervading question in quantum computing has been whether commercially useful quantum advantage can be achieved with early, near-term devices — referred to as the kiloquop era by Global Quantum Intelligence (GQI). Historically, the field has struggled to move beyond esoteric benchmarks to find real-world applications that demonstrate the useful quantum advantage defined by program Q4Bio. However, at GQI, we are observing a tangible transition. Recent notable demonstrations—such as Q-CTRL’s highly optimized 1D Fermi-Hubbard simulation, Q4Bio’s hybrid tensor-network pipeline for chemical simulation, and Pasqal’s modeling of non-equilibrium dynamics in frustrated magnets—provide encouraging evidence for those who believe near-term commercial advantage is possible. While the quantum industry is not there yet, the likelihood of useful commercial advantage in the kiloquop era has increased sharply. GQI continues to track these capability thresholds closely to keep a pulse on the industry’s trajectory. The landscape of quantum computing has undergone a fundamental shift since the landmark 2019 experiment by Google, which first demonstrated quantum supremacy by creating quantum states on a 53-qubit processor with a computational state-space of dimension 2⁵³. [1] That original experiment was a conceptual milestone, proving that a quantum processor could perform a specific random circuit sampling task exponentially faster than any classical supercomputer. However, the field is now migrating to a more mature phase focused on practical and/or useful quantum advantage. This new frontier moves beyond synthetic benchmarks to address real-world problems directly relevant to material science, engineering, and critical bottlenecks in biology and medicine. By integrating quantum hardware with sophisticated classical methods, researchers are beginning to solve problems that were previously intractable, particularly in understanding complex ch

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The Road to Practical Quantum Advantage: Science Experiment or Reality?

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Researchers at Paderborn University have, for the first time, demonstrated universal computation using photonic quantum walks, a method previously confined to theoretical proposals. The team achieved this milestone by developing a protocol to translate any linear transformation into the “coin and step operator” of a quantum walk, effectively mapping complex calculations onto light-based quantum processes. This system utilizes a “time-multiplexed hybrid architecture” encoding information across multiple degrees of freedom, enhancing both scalability and resilience compared to some existing quantum designs. According to the research, this interface is scalable and resource efficient, bridging the gap between theoretical potential and practical implementation in quantum computing. Quantum Walk to Linear Transformation Protocol This achievement, detailed in a recent publication, moves a previously theoretical approach to quantum computation into experimental reality, utilizing discrete-time quantum walks implemented with light. The team at Paderborn University developed a protocol that addresses a key challenge in quantum computing: scalability. This design contrasts with many existing quantum systems that struggle to maintain coherence and control as the number of qubits increases. This is accomplished by carefully designing the “coin and step operator,” which dictates how the quantum walk evolves, and mapping those parameters to the experimental setup. The researchers demonstrated that their architecture compares favorably against existing designs, suggesting a path toward more robust and reliable quantum processors. This advancement builds upon previous work demonstrating the feasibility of using photons for quantum computation, including earlier demonstrations of Gaussian boson sampling and programmable nanophotonic chips. Time-Multiplexed Architecture for Discrete-Time Walks Researchers are increasingly focused on harnessing the principles of quantum walks for comp

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Photonic Quantum Walks Enable Universal Computation for First Time

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Earlier this week, five people who touch every layer of the AI supply chain sat down at the Milken Global Conference in Beverly Hills, where they talked with this editor about everything from chip shortages to orbital data centers to the possibility that the whole architecture that undergirds the tech is wrong. On stage with TechCrunch: Christophe Fouquet, CEO of ASML, the Dutch company that holds a monopoly on the extreme ultraviolet lithography machines without which modern chips would not exist; Francis deSouza, COO of Google Cloud, who is overseeing one of the biggest infrastructure bets in corporate history; Qasar Younis, co-founder and CEO of Applied Intuition, a $15 billion physical AI company that started in simulation and has since moved into defense; Dimitry Shevelenko, the chief business officer of Perplexity, the AI-native search-to-agents company; and Eve Bodnia, a quantum physicist who left academia to challenge the foundational architecture most of the AI industry takes for granted at her startup, Logical Intelligence. (Meta’s former chief AI scientist, Yan LeCun, signed on as founding chair of its technical research board earlier this year.) Here’s what the five had to say: The bottlenecks are real The AI boom is running into hard physical limits, and the constraints begin further down the stack than many may realize. Fouquet was the first to say it, describing a “huge acceleration of chips manufacturing,” while expressing his “strong belief” that despite all that effort, “for the next two, three, maybe five years, the market will be supply limited,” meaning the hyperscalers — Google, Microsoft, Amazon, Meta — aren’t going to get all the chips they’re paying for, full stop. DeSouza highlighted how big — and how fast growing — an issue this is, reminding the audience that Google Cloud’s revenue crossed $20 billion last quarter, growing 63%, while its backlog — the committed but not yet delivered revenue — nearly doubled in a single quarter, from $250 

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EU Startup Fund Makes First Bet With $160 Million Round in UK’s Quantum Motion

Energy-error tradeoff in encoding quantum error correction

The Road to Practical Quantum Advantage: Science Experiment or Reality?

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The qubit: there and back again

EU Startup Fund Makes First Bet With $160 Million Round in UK’s Quantum Motion

Energy-error tradeoff in encoding quantum error correction

The Road to Practical Quantum Advantage: Science Experiment or Reality?

Photonic Quantum Walks Enable Universal Computation for First Time

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