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Photonic Quantum Computing: PsiQuantum & Xanadu Room-Temperature Systems

Photonic quantum computing news: PsiQuantum, Xanadu quantum photonics. Room-temperature operation, cluster states & quantum networking advances.

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Photonic quantum computing encodes quantum information in light—using photon polarization, path, or time-bin degrees of freedom—to perform computation at room temperature without cryogenic infrastructure. This approach promises seamless integration with existing fiber-optic telecommunications networks.

Two Dominant Architectures

Two dominant architectures drive commercial development: cluster state/MBQC (Measurement-Based Quantum Computing) used by PsiQuantum, and Gaussian Boson Sampling/SGBSV employed by Xanadu's Borealis and X-series photonic processors.

India's Photonic Quantum Research

India's National Quantum Mission explicitly includes photonic technology as a priority platform. The Quantum Computing Thematic Hub at IISc Bengaluru targets development of quantum computing chips based on superconducting, photonic, and spin qubits according to official DST announcements. The Quantum Communication Thematic Hub at IIT Madras, established as the IITM C-DOT Samgnya Technologies Foundation, focuses on photonic quantum technologies including quantum key distribution and satellite-based quantum communication.

Key Advantages

Key advantages include room-temperature operation eliminating dilution refrigerators, natural compatibility with fiber-optic quantum networks, high-speed gate operations (picoseconds), and mature semiconductor fabrication for silicon photonics integration. Current challenges include probabilistic photon sources and detectors introducing overhead, photon loss in optical components, and massive qubit counts needed for fault tolerance.

Recent Breakthroughs

Recent breakthroughs include Xanadu's Borealis demonstrating quantum computational advantage using Gaussian boson sampling with 216 squeezed light modes, and PsiQuantum releasing detailed architecture plans for utility-scale quantum computing using thousands of modular chips.

Quandela Seeks South Korean Partners for Photonic Quantum Computingquantum-computing

Quandela Seeks South Korean Partners for Photonic Quantum Computing

Insider Brief French photonic quantum computing company Quandela intends to spend the next two years lining up strategic partners in South Korea, with joint work expected to cover quantum chip manufacturing, system integration, demonstration, and real-world operation, Seoul Economic Daily reported. CEO Niccolo Somaschi presented the company’s Korea strategy and a medium- to long-term roadmap […]

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Generation of Photonic Graph States with minimal number of quantum emittersquantum-computing

Generation of Photonic Graph States with minimal number of quantum emitters

--> Quantum Physics arXiv:2609.30400 (quant-ph) [Submitted on 24 Sep 2026] Title:Generation of Photonic Graph States with minimal number of quantum emitters Authors:Konstantinos-Rafail Revis, Nils Tomke Ottink, Pierre-Emmanuel Emeriau, Paul Hilaire View a PDF of the paper titled Generation of Photonic Graph States with minimal number of quantum emitters, by Konstantinos-Rafail Revis and 3 other authors View PDF HTML (experimental) Abstract:Graph states are a fundamental resource for measurement and fusion-based quantum computing, quantum networks, and sensing. Preparing them in a photonic system deterministically is, in principle, possible, but finding efficient schemes to prepare them was a long-standing problem addressed recently. Additionally, heuristic optimization schemes for reducing the required number of two-qubit gates were developed. However, the problem of reducing the number of emitters by optimizing the emission ordering was not addressed, due to its computational complexity, as it is connected to a well-known NP-hard problem from graph theory, the linear rank width computation. In this work, we focus on developing heuristic polynomial algorithms to reduce the number of emitters required. In total, we propose four distinct algorithms, which demonstrate up to $30\%$ emitter reduction on random graphs. Furthermore, we provide numerical and statistical evidence that the combination of our optimization schemes with the preexisting algorithms for optimizing the two-qubit gates of the preparation protocol can further reduce them by around $20\%$. Finally, we examine the developed algorithms for various useful graph state families, such as graphs useful for measurement-based quantum algorithms, and cluster states and graph codes used for quantum error correction, to determine the performance of each algorithm. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2609.30400 [quant-ph]   (or arXiv:2609.30400v1 [quant-ph] for this version)   ht

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Quantum chip predicts time series with a feedback loopquantum-computing

Quantum chip predicts time series with a feedback loop

Nearly four decades passed between the 1971 postulation of the memristor and its eventual demonstration in 2008. The memristor functions as the primary example of neuromorphic components due to its ability to retain memory through hysteresis, mirroring how synapses function in the human brain. This work explores integrating the memristor with quantum computing to create more efficient machine learning platforms. Photonic Quantum Memristor Enables Neuromorphic Computing The implementation of a quantum reservoir computing system using single photon states marks a first for the field, according to work detailed in a recent publication. Researchers designed the device to update its internal phase via feedback based on measurements at one output mode. The reservoir’s output then undergoes processing by a linear regression model, calculating a weighted sum to produce a final result. To test the system’s efficacy, the team addressed four distinct tasks: predicting a smooth nonlinear function and forecasting three random time series, NARMA, Mackey-Glass and Santa Fe, with vowel recognition also numerically simulated. These benchmarks allowed for a direct comparison of performance with and without the quantum memristor’s dynamic enhancements. The photonic quantum memristor itself is modeled as a tunable Mach-Zehnder interferometer, with its internal phase updated by a feedback rule dependent on measurement outcomes. The researchers employed a unitary representation of the memristor action, adaptively updated based on previous outcomes, with coefficients serving as hyperparameters within the model. For time-series prediction, they fixed certain parameters, focusing on the memory decay rate as an adjustable hyperparameter. This design allows the system to exploit the feedback mechanism to implement nonlinear operations on input states and use short-term memory, effectively demonstrating a proof-of-principle quantum reservoir computing system. The team encoded classical data us

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Quantum algorithms gain from filtered-state preparationquantum-computing

Quantum algorithms gain from filtered-state preparation

Researchers from Sungkyunkwan University in South Korea and Xanadu in Canada detailed a new method for improving quantum algorithms in a paper published September 25, 2026, in Quantum Science and Technology. The team developed a technique designed to address a critical limitation in many quantum algorithms: accurate state preparation. This work demonstrates a framework for enhancing the overlap of input states through spectral filtering, potentially reducing runtime by more than two orders of magnitude for certain calculations, with overlap amplification exceeding a factor of one hundred. Filtered Quantum Phase Estimation for Eigenvalue Problems The success probability of quantum phase estimation hinges on initial state overlap; a new framework detailed in Quantum Science and Technology on September 25, 2026, directly addresses this limitation through filtered-state preparation. Researchers from Sungkyunkwan University and Xanadu developed a method to amplify this overlap, potentially reducing the computational cost of determining essential properties of many-body Hamiltonians, such as ground-state energy and excited spectra. The work introduces a unified framework for quantum algorithms centered on enhancing the initial connection with target eigenstates. This framework explicitly defines the trade-off between overlap amplification, the probability of successfully preparing a state, and the resources required to implement the filter itself. Analysis of Gaussian filters and a modified Krylov-subspace-based filter revealed improvements in the success-probability/overlap balance important for preparing states. The team’s approach tackles a central challenge in quantum computing: accurately estimating eigenvalues, a task where standard quantum phase estimation requires a significant initial overlap between the prepared input state and the target eigenstate. Specifically, the success probability of QPE scales with the squared overlap, meaning even small improvements in

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Germany invests in better quantum sensors and communicationquantum-computing

Germany invests in better quantum sensors and communication

The University of Paderborn is coordinating a new collaborative project, “Detector Engineering to Enable Quantum Technology” (DETEQT), which will receive approximately six million Euro in funding from the Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR) over three years. The project focuses on advancing single-photon detectors based on nanowires, known as Nanodraht-Einzelphotonendetektoren (SNSPDs), to overcome hurdles in scalability and performance for photonic Quantum Processor Units (QPUs). This work aims to improve the practicality of systems intended for use in quantum computers, communication, and sensing, and is part of a larger effort with seven other funded projects led by Prof. Tim Bartley to strengthen collaboration across Germany’s quantum technology sector. Paderborn University Coordinates “DETEQT” for Quantum Technology Advancement Nanodraht-Einzelphotonendetektoren, or SNSPDs, are undergoing focused development within the DETEQT project to address limitations in scalability, integration, and performance of photonic Quantum Processor Units. These single-photon detectors aim to overcome technical hurdles preventing wider application in quantum computing, communication, and sensing technologies. Multiple partners from both academia and industry, including the Technische Universität München and the Physikalisch-Technische Bundesanstalt, contribute to this effort. The newly launched cluster led by Prof. Tim Bartley unifies seven funded collaborative projects to bolster cooperation across Germany’s quantum technology sector; this coordinated approach extends beyond individual initiatives, signaling a national strategy to advance photonic quantum technologies. According to the Universität Paderborn, the project’s goal is to significantly improve the practicality of these systems for real-world deployment. Source: https://ein-quantum.nrw/neues-verbundprojekt-fuer-photonische-quantentechnologien-gestartet More like thisQuantum TechnologyPhoto

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Intel CEO Lip-Bu Tan Is Impressed By Photonic Quantum Computing – Says He Now Leans on AI Agents to Do His “Homework” - Wccftechquantum-computing

Intel CEO Lip-Bu Tan Is Impressed By Photonic Quantum Computing – Says He Now Leans on AI Agents to Do His “Homework” - Wccftech

Intel's CEO Lip-Bu Tan Intel CEO Lip-Bu Tan believes that for quantum computing to be viable, companies have to address market areas with actual demand. The executive discussed quantum computing and how he uses artificial intelligence, among other topics, in the QuantumJane podcast, where he revealed that he had actually invested in quantum computing companies with his own funds instead of the funds of a venture capital firm that he ran. Intel CEO Lip-Bu Tan Silicon Carbide, Indium Phosphide, Microfluidic Cooling & Artificial Diamonds Might Turn Out To Be Technologies Of The Future Tan started the discussion by outlining how he has come to rely on agentic AI. The Intel CEO has been quite optimistic about agentic AI, and in the firm's earnings calls, has been hopeful about its ability to spur demand for CPUs in the ongoing buildout of AI infrastructure. When asked how he uses AI, Tan outlined that while he can't recall how many AI agents he uses, he nevertheless relies on them to "do all the homework." Related Story Intel’s LGA 1954 Socket Parts Surface On AliExpress For $16 As Nova Lake-S Production Edges CloserThen, the first thing in the morning he does is to look at the agents' progress. Calling agents "amazing," the Intel CEO added that it helps him reduce the number of assistants needed to do his research. As opposed to 'traditional' AI, which typically refers to large language models (LLMs) such as ChatGPT and Grok, agentic AI relies on autonomous decision-making to set goals and execute actions. These models are quite pricey, with SpaceXAI's Grok Bot available as part of bundles costing up to $300 per month. A screen grab from SpaceXAI's website showing its agent offering. Image: xai.com Intel CEO Lip-Bu Tan Used His Own Money To Invest In Quantum Computing Companies With the conversation shifting to quantum computing, Tan outlined that the first quantum computing he had invested in was IonQ. IonQ calls itself a trapped ion quantum computing firm. Instead

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Researchers Detect Relationships in Quantum Data with 15% Greater Accuracyquantum-computing

Researchers Detect Relationships in Quantum Data with 15% Greater Accuracy

Relationships between states, not individual states, are under investigation. An adaptive relational learning framework is introduced for multiinstance quantum data accessing both pairwise and higher-order relations. The model combines global measurements via SWAP or CYCLE tests for evaluating an n-state Bargmann invariant with shallow trainable transformations applied locally to each input state. Continuous-variable (CV) photonic systems offer natural access to quantum data and necessary computing operations, demonstrating this approach. Tasks solved include hidden relationship detection, geometric phase classification, and sensing in the presence of an unknown shared nuisance. Reduced measurement requirements enable efficient relational learning within photonic quantum computing Perfect test accuracy with just 500 inference shots represents a leap forward in quantum machine learning; previously, comparable results demanded one hundred times more measurements per data point. This breakthrough, achieved by scientists at University of Sheffield using photonic systems, unlocks new possibilities for processing multiple quantum states simultaneously and identifying relationships between them. Their adaptive relational learning framework accesses these connections rather than treating each state independently, enabling complex tasks like hidden relationship detection and geometric phase classification to be performed efficiently. The team’s approach circumvents the rapidly increasing computational cost associated with traditional methods, paving the way for advancements in sensing technologies reliant on analysing interconnected quantum information. Observed improvements averaged ΔA=0.15 over existing continuous-variable classical shadow methods when utilising this framework on tasks involving hidden relationship detection, geometric phase classification, and sensing under shared noise. It is particularly suited to scenarios where solutions are generated by quantum algor

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QuiX Quantum Partners with Tohoku Electronic Industrial for Exclusive Distribution in Japanquantum-computing

QuiX Quantum Partners with Tohoku Electronic Industrial for Exclusive Distribution in Japan

QuiX Quantum Partners with Tohoku Electronic Industrial for Exclusive Distribution in Japan Dutch photonic quantum computing startup QuiX Quantum has executed an exclusive distribution agreement with R&D technology provider Tohoku Electronic Industrial Co., Ltd. (TEI-C). The partnership establishes TEI-C as the authorized sole distributor of QuiX Quantum’s integrated photonic processing hardware across Japan, accelerating local customer access to commercial quantum hardware. Under the terms of the agreement, Sendai-based TEI-C will manage Japanese-language commercial engagement, technical seminars, and first-line support for QuiX Quantum’s flagship hardware suite. This includes the recently launched Alquor 2.0—a 3U rack-mountable programmable quantum photonic processor available in 8-, 20-, and 32-mode configurations—and the Photonic Assembly Control Unit (PACU), a standardized instrumentation layer designed to drive up to 1,000 thermo-optic phase shifters inside high-performance computing (HPC) environments. [ QuiX Quantum Commercial Hardware & Distribution Architecture ]Hardware / EntityCore Technological SpecificationsDistribution & Market AlignmentAlquor 2.0 QPU• 8-, 20-, and 32-mode optical configurations• Silicon nitride (Si3N4) TriPleX™ PIC platform• Average amplitude fidelity >90%, <4 dB insertion loss• Direct replacement for optical-table setups• Python API for automated workflows• Distributed in Japan via TEI-CPACU Control Unit• Controls up to 1,000 low-speed thermo-optic modulators• 32 high-speed RF/optical connectors for feed-forward• Board-to-board interconnects for hot-swappable MTTR• Standardized 3U 19-inch rack chassis• Native Ethernet & USB HPC integration• Distributed in Japan via TEI-CTohoku Electronic Industrial (TEI-C)• R&D technology distributor founded in 1968• Specialized in advanced optical & scientific instruments• Exclusive distributor for Japanese market• First-line technical & commercial support The stra

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MOS-based silicon spin qubits assessed by DARPA’s Quantum Benchmarking Initiativequantum-computing

MOS-based silicon spin qubits assessed by DARPA’s Quantum Benchmarking Initiative

Nearly 20 companies are now engaged in a demanding six-month assessment as part of DARPA’s Quantum Benchmarking Initiative, signaling a substantial investment in a diverse range of approaches to building practical quantum computers. The initiative aims to rapidly verify if a fault-tolerant quantum computer, one where computational value exceeds cost, can be realized by 2033, a timeline far more aggressive than conventional predictions. Successful completion of this initial stage will lead to a yearlong, rigorous examination of research and development plans. DARPA’s Quantum Benchmarking Initiative: Stage A Company Selection This selection signals a significant investment in a diverse range of quantum approaches, particularly notable given the early stage of the technology and the high bar for entry into the program. DARPA launched QBI in July 2024 with the explicit goal of determining if the development of a useful, fault-tolerant quantum computer can be accelerated beyond current projections. The initiative’s core aim is rigorous verification of whether any quantum computing approach can achieve utility-scale operation, where computational value surpasses cost, by 2033. The companies selected for Stage A, including established players like IBM and Google Quantum AI, represent a broad spectrum of qubit technologies. Beyond superconducting and trapped-ion approaches, the cohort encompasses neutral atom qubits, photonic qubits, and silicon CMOS spin qubits, demonstrating DARPA’s commitment to exploring multiple pathways toward quantum advantage. Diraq, with operations spanning Australia, California, and Massachusetts, is pursuing silicon CMOS spin qubits, while QuEra Computing focuses on neutral atom qubits, highlighting the international scope of the initiative and the varied technological bets being placed. This diversity reflects an understanding that the optimal qubit technology remains an open question, and a comprehensive evaluation is important.

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Deterministic photon waveform adaptation for quantum connectivityquantum-computing

Deterministic photon waveform adaptation for quantum connectivity

--> Quantum Physics arXiv:2609.26889 (quant-ph) [Submitted on 22 Sep 2026] Title:Deterministic photon waveform adaptation for quantum connectivity Authors:Jeffrey Mohan, Jérémy Berroir, Filippo Borselli, David Libault, Ferhat Loubar, Kilian Müller, Jed Rowland, Félix Hoffet, Eleni Diamanti, Tom Darras, Tommaso Mazzoni, Julien Laurat View a PDF of the paper titled Deterministic photon waveform adaptation for quantum connectivity, by Jeffrey Mohan and 11 other authors View PDF HTML (experimental) Abstract:The scalability of quantum technologies will depend on the ability to interconnect independent quantum systems through photonic channels. However, heterogeneous quantum platforms emit and absorb photons with widely differing properties, severely limiting inter-node interference and modular connectivity. Here we demonstrate a cold-atom optical quantum memory that simultaneously achieves near-unity storage-and-retrieval efficiency and deterministic temporal adaptation of single photons between arbitrary and programmable input and output pulse waveforms. Operating at high optical depth and within a fully integrated architecture, the system can store photons with durations spanning over three orders of magnitude and reshape them arbitrarily without compromising efficiency, achieving compatibility with many current platforms. By augmenting the role of a quantum memory from a passive storage element to an active programmable photonic interface, our results establish a key building block for scalable entanglement-based quantum networks and modular quantum computing architectures. Subjects: Quantum Physics (quant-ph); Atomic Physics (physics.atom-ph) Cite as: arXiv:2609.26889 [quant-ph]   (or arXiv:2609.26889v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2609.26889 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Julien Laurat [view email] [v1] Tue, 22 Sep 2026 18:00:06 UTC (4,548 KB) Full-text link

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Booz Allen engineers get quantum skills with Xanadu trainingquantum-computing

Booz Allen engineers get quantum skills with Xanadu training

An initial group of Booz Allen programmers and engineers will soon begin training designed to rapidly expand the firm’s quantum computing capabilities, rather than relying on external recruitment. The collaboration with Xanadu focuses on upskilling Booz Allen’s existing workforce using PennyLane, Xanadu’s open-source software platform, allowing engineers to “move quickly from concept to running code.” As quantum computing transitions from research to practical application, the companies aim to address a critical shortage of professionals equipped to apply the technology to real-world problems. This joint initiative combines Booz Allen’s engineering experience with Xanadu’s software and training tools to drive real-world impact. Booz Allen Upskills Engineers with Xanadu’s PennyLane Platform Booz Allen engineers will gain immediate practical experience with quantum algorithms through a new program utilizing Xanadu’s PennyLane platform, circumventing the typical lag between research and real-world application. The collaboration directly addresses a critical bottleneck in quantum computing’s progression: a shortage of professionals equipped to translate theoretical advancements into solutions for government and commercial challenges. Rather than seeking to hire new quantum specialists, Booz Allen is prioritizing internal upskilling, initiating a training program for an initial group of its existing programmers and engineers. The program’s core relies on PennyLane’s ability to connect abstract concepts with executable code, allowing participants to bypass lengthy development cycles. PennyLane’s architecture provides access to both quantum simulators and a network of partner hardware platforms, which Xanadu highlights as important for rapid prototyping and testing. This hands-on approach, incorporating interactive tutorials and coding exercises, aims to build a durable skillset applicable to mission-relevant tasks. Booz Allen, with its established quantum practice spannin

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Xanadu Appoints Tara Deakin as Chief People Officer to Lead Next Phase of Global Growthquantum-computing

Xanadu Appoints Tara Deakin as Chief People Officer to Lead Next Phase of Global Growth

Provides information in connection with early warning requirements under applicable Canadian securities laws. TORONTO, Sept. 22, 2026 (GLOBE NEWSWIRE) — Xanadu Quantum Technologies Limited (“Xanadu“; NASDAQ/TSX: XNDU), a leading photonic quantum computing company, today announced the addition of a strategic leader to its executive team: Tara Deakin as Chief People Officer. This appointment strengthens Xanadu’s […]

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Xanadu CEO on the high-stakes race to create the world’s first scalable quantum computer in Canadaquantum-computing

Xanadu CEO on the high-stakes race to create the world’s first scalable quantum computer in Canada

The potential impact Christian Weedbrook mentions on pharmaceuticals is kind of fascinating. "Right now, designing new drugs – from computational simulations to phased trials to ultimately selling tablets – can take 10 years and up to $2 billion. Ninety per cent of drug candidates fail because we still can’t reliably predict how a molecule will behave in the body before we make it. Molecules are governed by quantum interactions that don’t break down into independent pieces – the electrons are entangled, so changing one affects the others. Classical computers can only approximate these interactions, and those approximations get less accurate as molecules grow more complex. Quantum computers, by contrast, simulate molecular behaviour natively rather than approximating. That’s why we think it shifts the odds across the whole discovery pipeline." submitted by /u/pd902011 [link] [comments]

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Quera Computing Preserves Structure for Scalable Quantum Programsquantum-computing

Quera Computing Preserves Structure for Scalable Quantum Programs

Maintaining efficient quantum compilation is increasingly important as quantum software scales towards supporting fault-tolerant hardware and complex algorithms. Representing quantum programs with their inherent classical structure, rather than converting them into simple sequences of gates, offers advantages for managing complexity. As quantum computers become more capable, compiling instructions presents increasing difficulties; even moderately complex tasks could require billions of operations. Researchers at Technical University of Munich discovered preserving the original logical structure within a program, such as repeating sections or conditional steps, can sharply reduce this complexity. This contrasts with traditional methods which simplify programs into basic sequences of gates. Researchers are tackling a vital challenge in quantum computing: efficiently compiling increasingly complex programs alongside collaborators from Quantinuum and Xanadu. As quantum computers grow more powerful, potentially requiring billions of operations for even moderately difficult tasks, traditional compilation methods that simplify algorithms into basic gate sequences become less viable. Preserving logical organisation is key because unrolling loops and expanding repeated instructions manually quickly becomes computationally expensive. Maintaining this program structure could enable constant compilation times regardless of problem size but requires a new set of tools capable of exploiting it. Preserving Program Structure Enables Scalable Quantum Compilation Efficiency Resource estimates yield gate counts exceeding billions when using active error correction, yet current methods struggle with algorithms at this scale due to limitations in compilation efficiency. Maintaining program structure within quantum computations is now the focus, a strategy previously hindered by the need to “unroll” complex code into lengthy sequences of basic gates that drastically increases computation

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Einstein Called It “Spooky.” CERN Just Found It at Extreme Energies at the Large Hadron Colliderquantum-computing

Einstein Called It “Spooky.” CERN Just Found It at Extreme Energies at the Large Hadron Collider

CERN physicists have found that quantum entanglement can survive even among heavy, short-lived particles created in some of the most extreme collisions on Earth. Credit: CERNParticles left behind by decaying Z bosons reveal strong evidence of quantum entanglement at CERN’s Large Hadron Collider.Z bosons, heavy elementary particles that decay almost as soon as they form, leave behind clues to a connection that can outlast physical separation. Known as quantum entanglement, this connection links particles’ quantum properties so that measuring one reveals information about the other, even when they are far apart.An international team, including physicists at the University of Oxford, has found strong evidence of entanglement between pairs of Z bosons using the ATLAS experiment at CERN’s Large Hadron Collider near Geneva, Switzerland. Published in Physical Review Letters, the findings represent one of the highest-energy confirmations of entanglement ever recorded, extending its study to particles that exist only fleetingly under extreme conditions.Study co-author Professor Alan Barr, of Oxford’s Department of Physics, said, “We’re used to thinking of entanglement as something delicate, seen in laboratory experiments with single photons. Finding it alive and well among particles as heavy and short-lived as Z bosons, created in some of the most violent collisions we can produce on Earth, shows just how fundamental and robust this quantum effect really is. It’s a nice reminder that the same strange rules of quantum mechanics that may one day power quantum computers are at work everywhere in nature, even at the extreme energies of the Large Hadron Collider.”The Large Hadron Collider (LHC) accelerator in the tunnel at CERN. Credit: 2009-2026 CERNTracing entanglement after Z bosons vanishThe Z bosons in this study came from the decay of Higgs bosons, the particles discovered at the LHC in 2012. To produce Higgs bosons, the collider smashes together protons traveling at 99.99%

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Creotech Quantum to build high-sensitivity photon detectors for ESAquantum-computing

Creotech Quantum to build high-sensitivity photon detectors for ESA

Creotech Quantum S.A., a company listed on the Warsaw Stock Exchange, will build high-sensitivity photon detectors for the European Space Agency in a EUR 2.33 million project, with EUR 1.2 million allocated to the Polish firm’s work. The project focuses on Superconducting Nanowire Single Photon Detector (SNSPD) technology for secure quantum and optical communications systems. “Signing another project for the European Space Agency confirms our expertise in advanced quantum technologies,” says Dr. Anna Kamińska, CEO of Creotech Quantum S.A., as the collaboration aims to advance the technology toward commercialization and deployment in sectors like space, telecommunications, and defense. Creotech Quantum’s HRQKD Project Advances SNSPD Technology for ESA The HRQKD project, formally titled “Single Photon Detector Based on Superconducting Nanowire (SNSPD) Technology for Laser Communication and Quantum Key Distribution (QKD) Applications [HRQKD]”, will push the detector’s technology readiness level to TRL 5, demonstrating functionality in an environment mirroring intended industrial applications. This represents a critical step beyond prior proof-of-concept prototypes developed under two previous ESA contracts with the same team. The project’s EUR 2.33 million total value allocates EUR 1.2 million directly to Creotech Quantum for its work designing, manufacturing, and testing high-sensitivity detectors. These SNSPDs, or Superconducting Nanowire Single Photon Detectors, are essential components for both secure quantum key distribution and advanced optical communication systems. The detectors will be important for receiving quantum signals at ground stations communicating with satellites, a key element in establishing secure communication networks. The technology aims to facilitate long-distance optical communication, even in scenarios with extremely weak signals, such as those expected from lunar bases or missions to the outer solar system. Creotech Quantum will lead the pr

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Creotech Quantum Leads Project for the Next Generation of Secure Quantum And Optical Communicationsquantum-computing

Creotech Quantum Leads Project for the Next Generation of Secure Quantum And Optical Communications

Insider Brief PRESS RELEASE — Creotech Quantum S.A., a Warsaw Stock Exchange-listed company developing and commercializing quantum technologies, has signed an agreement to carry out a project for the European Space Agency (ESA) aimed at developing and demonstrating a new generation of single-photon detectors based on superconducting nanowire technology (SNSPD – Superconducting Nanowire Single Photon […]

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GlobalFoundries Finalizes $375 Million CHIPS Act Award for Onshore Quantum Semiconductor Fabricationquantum-computing

GlobalFoundries Finalizes $375 Million CHIPS Act Award for Onshore Quantum Semiconductor Fabrication

GlobalFoundries Finalizes $375 Million CHIPS Act Award for Onshore Quantum Semiconductor Fabrication Semiconductor manufacturer GlobalFoundries (NASDAQ: GFS) has finalized a definitive agreement with the U.S. Department of Commerce’s CHIPS Research and Development Office to receive up to $375 million in federal R&D funding under the CHIPS and Science Act. Distributed over a five-year milestone-based schedule, the award accelerates the expansion of GF’s dedicated Quantum Technology Solutions (QTS) business unit at its Malta, New York manufacturing hub to scale domestic quantum hardware manufacturing. The agreement transitions GF’s previously announced letter of intent into a binding award to establish a secure, multi-modality domestic foundry ecosystem. GF’s QTS platform leverages its proprietary 22FDX fully depleted silicon-on-insulator (FD-SOI) process to fabricate specialized cryogenic CMOS control and readout integrated circuits (ICs) operating at millikelvin temperatures. The fabrication infrastructure also provides standardized lines for quantum processing units (QPUs), advanced 3D heterogeneous packaging, and superconducting interconnects across silicon-spin, trapped-ion, photonic, topological, and superconducting architectures. [ GlobalFoundries QTS Award & Manufacturing Infrastructure Scope ]Capital Allocation & VehicleFab Infrastructure & ToolsetsEcosystem Modalities & Partners• $375 Million Direct Award• CHIPS R&D Office Agreement• 5-Year Milestone Schedule• Malta, NY 300mm Fab Complex• Cryogenic CMOS (22FDX) Readout• 3D Heterogeneous Packaging• Silicon-Spin (Diraq, Quantum Motion)• Trapped-Ion Photonics (Quantinuum)• Silicon Photonics (PsiQuantum) Led by Nicholas Sergeant, Vice President and General Manager of QTS, GF provides commercial foundry access for hardware developers transitioning from lab prototypes to high-yield wafer production. The finalized $375 million agreement complements GF’s broader $300 million CHIPS LOI targeti

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NLM Photonics and LIGENTEC Build First Silicon Nitride Organic Hybrid Modulators Amid Materials Supply Chain Expansionquantum-computing

NLM Photonics and LIGENTEC Build First Silicon Nitride Organic Hybrid Modulators Amid Materials Supply Chain Expansion

NLM Photonics and LIGENTEC Build First Silicon Nitride Organic Hybrid Modulators Amid Materials Supply Chain Expansion Electro-optic materials developer NLM Photonics, Swiss photonic integrated circuit (PIC) foundry LIGENTEC SA, and design firm Spark Photonics have fabricated the first Silicon Nitride Organic Hybrid (NOH) modulators on a commercial photonics platform. The proof-of-concept milestone demonstrates a viable path for heterogeneously integrating NLM’s organic electro-optic (OEO) materials onto passive silicon nitride (SiN) substrates to enable active, low-loss modulation across visible and near-infrared wavelengths. While standard silicon photonic circuits absorb light in the visible spectrum—restricting active silicon modulators to telecom bands—silicon nitride maintains a broad transparency window extending into visible wavelengths with low propagation loss. By applying NLM’s Selerion™ OEO material and a supplemental metallization layer as back-end-of-line (BEOL) processing steps on LIGENTEC’s SiN wafer platform, the collaboration creates active modulators suitable for photonic qubit routing, quantum key distribution (QKD), and laser control in trapped-atom systems. [ NLM Photonics NOH Modulator Architecture & Ecosystem Matrix ]Collaborator & RoleSubstrate & Material LayerQuantum & Optical Specifications• NLM Photonics: OEO Materials & Poling• Selerion™ Organic Electro-Optic Glass• Broad Transparency (Visible to 2.5 µm)• LIGENTEC: SiN Foundry Fabrication• Commercial Low-Loss SiN Wafer Platform• BEOL Metallization & Active Modulators• Spark Photonics: Layout & PDK Design• Heterogeneous Integration PDK Rules• High-Speed Photonic Qubit & Sensor Routing The technical achievement follows NLM Photonics expanding its investor base to secure its semiconductor materials supply chain and multi-foundry manufacturing pipeline. NLM added Pangaea Ventures and Mitsubishi Chemical Corporation’s venture arm, Diamond Edge Ventures, alongsi

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Mitsubishi Electric and OptQC Expand Strategic Partnership Amid JPY 7B ($47M USD) Series A2 and Tokyo R&D Expansionquantum-computing

Mitsubishi Electric and OptQC Expand Strategic Partnership Amid JPY 7B ($47M USD) Series A2 and Tokyo R&D Expansion

Mitsubishi Electric and OptQC Expand Strategic Partnership Amid JPY 7B ($47M USD) Series A2 and Tokyo R&D Expansion OptQC Optical Quantum Computer “MoQuren” Industrial electronics giant Mitsubishi Electric Corporation (TOKYO: 6503) and photonic quantum computing developer OptQC Corp. have formalized a multi-tiered strategic alignment spanning venture capital investment, national research grants, and facility expansions across Japan. The collaboration coincides with OptQC closing an oversubscribed JPY 7.0 billion (~$47M USD) Series A2 financing round led by NTT, Inc., pushing OptQC’s total equity and public grant funding past JPY 20.0 billion (~$133M USD). Spun out of the University of Tokyo’s Furusawa Laboratory in September 2024, OptQC builds continuous-variable, room-temperature optical quantum processing units designed to operate at atmospheric pressure without dilution refrigeration constraints. Mitsubishi Electric participated in the Series A2 round via its corporate venture arm, the ME Innovation Fund, joining a 21-investor syndicate that includes KDDI, Canon Marketing Japan, Kyocera, ANA Holdings, SBI Holdings, and the Japan Science and Technology Agency (JST). The CVC investment enables Mitsubishi Electric to integrate OptQC’s photonic QPU hardware insights directly into its industrial software compilation, automation, and logistics frameworks. [ OptQC Capital, R&D Expansion & Mitsubishi Electric Ecosystem Matrix ]Initiative TrackKey Stakeholders & AllocationsOperational Scope & DeliverablesSeries A2 Equity Round• Lead: NTT, Inc.• Corporate CVCs: Mitsubishi Electric, KDDI, Kyocera, Canon, ANA, SMBC• JPY 7.0B (~$47M) equity raise• Total funding past JPY 20.0B (~$133M)• Funds 10,000-qubit processor developmentTokyo R&D Facility Hub• IT tower TOKYO (15th & 23rd Floors)• Total Area: 1,225 m² (Toshima-ku, Tokyo)• Scheduled Start: February 2027• 15th Fl: Hardware, optical experiments, & controls• 23rd Fl: Theory, software, use cases

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