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Entropy Shows Hidden Quantum Transitions with Precision of 0.24116
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Entropy Shows Hidden Quantum Transitions with Precision of 0.24116

A key point was detected at αc(∞) = 0.24116 when employing the second-order purity-corrected stabilizer Rényi entropy, a measure of quantum fluctuations, on a frustrated one-dimensional system. George Biswas from Tamkang University, National Institute of Technology Sikkim, and the National Centre for Theoretical Sciences, and colleagues achieved this by analysing information sharing between pairs of qubits; previously several methods failed to identify transitions in these complex systems. The approach identifies critical points in several models including one-, and two-dimensional magnetic materials where other methods proved inadequate. The team employed purity-corrected stabilizer Rényi entropy to analyse how information is shared between particles, revealing subtle changes indicative of these transitions. This successfully identified critical points in both one-dimensional, and two-dimensional magnetic materials. George Biswas and colleagues used a measure called purity-corrected stabilizer Rényi entropy to analyse information shared between particle pairs, identifying critical points in one-dimensional, and two-dimensional magnetic materials. This approach resembles assessing the randomness of a deck of cards; higher ‘entropy indicates greater unpredictability regarding the system’s state. Frustrated quantum spin systems can be imagined like arranging people around a circular table with conflicting seating preferences, preventing simple ordered patterns. Stabilizer Rényi entropy pinpoints accurate phase transition thresholds in frustrated systems Analysing reduced two-qubit density matrices with purity-corrected stabilizer Rényi entropy (SRE) successfully identifies critical points previously missed by other methods. This is particularly striking considering prior failures with similar measurements on frustrated systems. This result aligns closely with established theoretical predictions and differs from earlier ground-state analyses which yielded αc(∞)=0.2681.

Sep 9, 2026

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New cryogenic platform supports Quobly’s quantum roadmapquantum-computing

New cryogenic platform supports Quobly’s quantum roadmap

Absolut System has developed the QCube 100-Class 3, a cryogenic platform delivering 100 mW of cooling power at 500 mK and designed to support the scaling of Quobly’s spin-qubit quantum computers. The platform marks a transition from research and development to a cryogenic solution adapted for a quantum computing product, funded through the French program Cryonext. “As the capabilities of our quantum computers increase, so do their cooling and integration requirements,” says Nicolas Daval, Chief Engineering Officer at Quobly; with this collaboration, the companies aim to prevent cryogenics from becoming a limiting factor in quantum computer scaling. QCube 100-Class 3 Platform Supports Quobly’s Spin-Qubit Scaling The partnership, formalized through an Industrial Partnership Declaration, aims to provide cryogenic infrastructure that scales alongside Quobly’s increasing qubit counts and integrated control electronics. Quobly defined the performance requirements driven by its processor designs and product roadmap, while Absolut System used its expertise in thermal engineering to tailor the QCube 100-Class 3 accordingly. This close collaboration is structured around a four-phase roadmap intended to progressively support the scaling of Quobly’s quantum computers; the current milestone focuses on the development and qualification of the initial platform, the company says. The French program Cryonext funded the development of the QCube 100-Class 3, demonstrating a strategic investment in cryogenic infrastructure as a critical component of quantum computing industrialization. This partnership signals a move beyond purely experimental quantum systems and toward commercially viable, scalable quantum processors. Four-Phase Roadmap Aligns Cryogenic Development with Alloy Processors Phase two will concentrate on industrializing and replicating this first generation, with a stated goal of doubling its thermal dissipation capacity to meet increasing demands. Looking ahead, phase thr

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Former IBM quantum lead takes reins at Q.ANT hardwarequantum-computing

Former IBM quantum lead takes reins at Q.ANT hardware

Q.ANT has appointed Joerg Behrend as Vice President Hardware. He brings 15 years of experience at the boundary of hardware and software to oversee the development of the company’s photonic processors. Behrend will lead teams across Q.ANT’s sites in Stuttgart, Germany and Austin, Texas, focusing on scaling the technology from research and development toward commercial production. Q.ANT states, “The harder part starts now: building them reproducibly, at volume, and across multiple generations.” Behrend previously managed up to 30 employees as Senior Manager for IBM Quantum at IBM Research & Development. Joerg Behrend’s IBM Background Drives Q.ANT Hardware Leadership Joerg Behrend’s prior experience managing teams of up to 30 employees at IBM Quantum positions him to scale operations at Q.ANT, a company focused on bringing photonic processors to commercial viability. His most recent role at IBM Research & Development in Böblingen involved leading R&D departments focused on cloud backend development, compilers, and runtime engineering for quantum computing, a complex intersection of hardware and software. This background is particularly relevant as Q.ANT transitions from technology developer to product supplier, a shift requiring robust engineering discipline. Dr. Michael Förtsch, Founder and CEO of Q.ANT, says, “Throughout his career, Joerg Behrend has seen what that takes: engineering hardware and software together until the result is a system a data center can rely on. That discipline is what separates a working prototype from a product.” Behrend’s arrival at Q.ANT coincides with a broader expansion of the company’s leadership team; Q.ANT has filled five leadership positions within twelve months, including personnel previously at IBM and Intel. This influx of experience from established semiconductor and technology companies signals Q.ANT’s commitment to building a team capable of delivering reliable, high-performance photonic systems.

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