Government Quantum Initiatives: National Programs & Policy
Government quantum news: National Quantum Initiative, quantum policy, EU Quantum Flagship, China quantum. Quantum regulation & programs.
Governments worldwide recognize quantum technologies as strategic priorities. India's National Quantum Mission (NQM), approved on 19 April 2023, represents a comprehensive framework with ₹6,003.65 crore allocation for eight years.
India's National Quantum Mission Structure
Thematic Hubs (T-Hubs) under NQM: Quantum Computing: Foundation for QC Innovation at IISc Bengaluru (lead), with partners including IIT Delhi, IIT Bombay, TIFR Mumbai, and others; Quantum Communication: IITM C-DOT Samgnya Technologies Foundation at IIT Madras with C-DOT Delhi; Quantum Sensing & Metrology: Qmet Tech Foundation at IIT Bombay; Quantum Materials & Devices: QMD Foundation at IIT Delhi.
Key NQM Deliverables: Intermediate-scale quantum computers with 50-1000 physical qubits in 8 years; satellite-based secure quantum communications over 2000 km; inter-city quantum key distribution over 2000 km; multi-node quantum networks with quantum memories; magnetometers with high sensitivity and atomic clocks for precision timing; quantum materials including superconductors and novel semiconductor structures.
Supporting Infrastructure
Quantum fabrication facilities at IISc Bengaluru (₹720 crore total investment); quantum fabrication facilities at IIT Bombay; smaller facilities at IIT Delhi and IIT Kanpur; dilution refrigeration laboratories at TIFR Mumbai, IISc Bengaluru, and TIFR Hyderabad.
Other Government Programs: DRDO Young Scientists Laboratory for Quantum Technologies (DYSL-QT) at DIAT Pune; Centre for Excellence in Quantum Technology (CEQT) at IISc Bengaluru (MeitY supported); Centre for Quantum Information, Communication and Computing (CQuICC) at IIT Madras; ISRO space-based quantum communication initiatives.
quantum-computingPsiQuantum and National Cancer Center Japan Partner to Advance Cancer Treatment Research
PsiQuantum has entered a collaborative research agreement with the National Cancer Center Japan to accelerate drug discovery using utility-scale quantum computers, a partnership intended to improve research, resource allocation, and patient outcomes in cancer treatment. The collaboration will focus on advancing fault-tolerant quantum algorithm development and creating clinically relevant applications, utilizing PsiQuantum’s software suite, Construct, for algorithm design and optimization. “PsiQuantum is proud to work alongside the National Cancer Center Japan as we explore what utility-scale quantum computing can deliver in designing new treatments for the benefit of researchers and patients,” said Sam Pallister, PsiQuantum’s Vice President for Quantum Applications. Pharmaceutical research and development is often lengthy and costly; PsiQuantum and the National Cancer Center Japan aim to overcome these hurdles by simulating molecular systems with greater accuracy and speed, potentially transforming how new medicines are created. PsiQuantum and National Cancer Center Japan Oncology Collaboration The partnership, formalized through a research agreement, aims to advance fault-tolerant quantum algorithm development and create clinically relevant applications, addressing a critical need for faster, more reliable drug discovery processes. Current methods struggle to deliver timely results, contributing to the high cost and extended duration of bringing new treatments to market; PsiQuantum’s technology promises to simulate molecular systems with a level of accuracy previously difficult to achieve. This initiative will also incorporate PsiQuantum’s Construct software, a platform designed for algorithm design, analysis, and optimization for fault-tolerant quantum computing, facilitating a secure end-to-end workflow. Dr. Takayuki Yoshino, Director for the Department of Global Oncology at the National Cancer Center Hospital East, emphasized the potential for innovation, statin
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quantum-computingBain & Company and IBM Address Emerging Cybersecurity Risks for Clients
Bain & Company and IBM are collaborating to assess and mitigate emerging cybersecurity risks for private equity and corporate clients as the threat of quantum computing grows. The strategic partnership combines IBM Consulting’s expertise in quantum-safe transformations with Bain’s established due diligence capabilities, offering clients a comprehensive evaluation of their resilience in a rapidly changing technological environment. This collaboration aims to enable proactive integration of post-quantum cryptography (PQC) solutions, addressing vulnerabilities in current encryption standards that protect sensitive data and intellectual property. “Quantum computing is moving from theory to reality. It also brings a hard deadline: many of today’s encryption standards won’t hold forever,” said Chuck Whitten, global head of Bain’s digital practices and capabilities; companies beginning upgrades now will be better positioned to protect assets and minimize risk. IBM & Bain Address Post-Quantum Cryptography Risks for Clients Bain & Company and IBM have formed a strategic alliance to address a looming cybersecurity threat; current encryption methods safeguarding sensitive data are increasingly vulnerable as quantum computing capabilities mature. The collaboration unites Bain’s expertise in due diligence with IBM Consulting’s quantum-safe transformation services, offering clients a comprehensive assessment of their resilience in the face of post-quantum cryptography (PQC) risks. This proactive approach aims to enable organizations to implement vital mitigation measures and integrate PQC into their long-term strategic and operational planning, recognizing that a failure to adapt could result in substantial business and investment risks for both private equity firms and corporations. Recent Bain research highlights a disconnect between awareness and action; corporate technology leaders acknowledge the urgency of PQC, but few possess a defined strategy for implementati
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quantum-computingUCSB’s Eddleman Quantum Institute Awards Funding for Superconductivity and Spacetime Modeling
UCSB’s Eddleman Quantum Institute Awards Funding for Superconductivity and Spacetime Modeling The Eddleman Quantum Institute (EQI) at UC Santa Barbara has announced a new round of funding to accelerate diverse research projects ranging from quantum sensing to the modeling of curved spacetime. This latest investment continues the legacy of the late philanthropist Roy Eddleman, whose trust has provided a combined $64.7 million to UCSB, Caltech, and UC Irvine to foster a collaborative quantum ecosystem in Southern California. The funding arrives as UCSB cements its status as a global epicenter for the field, following the 2025 Nobel Prize in Physics awarded to professors Michel Devoret and John Martinis for their work on superconducting circuits. The EQI portfolio for this year provides critical seed funding for eight faculty-led projects while supporting graduate and undergraduate fellows. Co-directed by professors David Weld, Ania Jayich, and Stephen Wilson, the institute emphasizes “curiosity-driven” research intended to open new directions in quantum science. Notable projects in this cohort include Andrea Young’s study of atomically thin superconductors, Andrew Jayich’s development of multi-ion atomic clocks for ultraprecise timekeeping, and Susanne Stemmer’s exploration of quantum phenomena as a foundation for universal quantum computation. Technical milestones targeted in this round include Galan Moody’s initiative to enable the entanglement of multiple photons across different buildings on the UCSB campus, a key step toward distributed quantum networking. Additionally, David Weld will utilize “shaken quantum matter” to model the physics of curved spacetime, while Ania Jayich focuses on improving the readout efficiency of quantum sensors. By supporting 29 graduate students since 2020 and expanding into interdisciplinary materials science, the EQI aims to translate foundational physics into the next generation of photonic devices, LEDs, and high-sensitivity sensor
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quantum-computingEntanglement Aids Robust State Transfer Via Noisy Analogue Channels
Uesli Alushi and colleagues at Aalto University, in collaboration with the Institute for Complex Systems (ISC-CNR) and Universitá degli Studi di Pavia, have developed a hybrid protocol combining quantum teleportation with direct transmission via analogue feedforward. The protocol outperforms standard methods when channel noise degrades entanglement, unlike conventional teleportation which relies on digital classical communication. The findings offer a potentially optimal strategy for quantum communication in practical systems employing analogue feedforward techniques, particularly within optical and superconducting microwave technologies. Hybrid protocol enhances fidelity with finite resources and channel preservation A hybrid teleportation-direct transmission protocol achieved a 3dB improvement in fidelity compared to standard quantum teleportation when utilising finite entanglement resources. This performance leap crosses a key threshold, as previously maintaining fidelity above a usable level required sharply more entangled pairs, hindering practical application. Quantum teleportation conventionally relies on the pre-sharing of entangled pairs between sender and receiver, followed by classical communication of measurement results to reconstruct the original quantum state at the receiving end. This process, while theoretically perfect, is limited by the fidelity of the entangled resource and the capacity of the classical channel. The new protocol uses analogue feedforward, a technique proactively counteracting noise in the quantum channel, unlike digital error correction used in conventional teleportation. Digital error correction, while robust, demands significant overhead in terms of qubits and complex processing, making it resource intensive. Analogue feedforward, in contrast, attempts to directly mitigate the effects of noise before it corrupts the quantum state, potentially offering a more efficient solution in certain scenarios. The hybrid approach surpasses
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quantum-computingQuantum Purification Boosts Fidelity and Cuts Error Rates in Computations
A new quantum error correction technique, termed purification, achieves sharply improved fidelity and logical error rates by using state purification via the SWAP test. Jonathan Raghoonanan and Tim Byrnes at New York University Shanghai have developed this approach, which requires minimal data qubits for processing and operates without postselection or prior knowledge of the quantum state. The technique represents a key advancement over existing methods. Analysis revealing high effectiveness against various noise channels, notably the depolarizing channel. Promising fault-tolerance thresholds are established, potentially enabling more reliable and scalable quantum computers Purification quantum error correction achieves scalable 75% threshold for reliable computation Error rates dropped to 75% for any quantum register size, a substantial improvement over previous quantum error correction methods. These earlier methods often required discarding data or possessing prior knowledge of the quantum state. This 75% threshold signifies a critical point for reliable quantum computation, as errors accumulate too rapidly above it for meaningful results. Achieving this level of error correction across all register sizes is particularly noteworthy, circumventing limitations hindering scalability in other approaches. Purification Quantum Error Correction, or PQEC, employs a state purification technique utilising the SWAP test, a quantum primitive determining the similarity between two quantum systems. This refines noisy quantum states without prior constraints. Further analysis reveals a 75% error threshold for the local depolarizing channel, applicable to any register size. For local dephasing, the threshold is reduced to 50%, but can be improved by employing twirling. The method operates on noisy copies and requires minimally O(M log2 N) data qubits to process M-qubit inputs from N copies. Purification steps may be interleaved within a quantum algorithm to suppress the logical
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Quantum Teleportation Breakthrough Brings the Quantum Internet Closer
First successful demonstration of quantum teleportation between two different quantum dots. An international team of researchers that includes scientists from Paderborn University has achieved a major milestone toward building a future quantum internet. For the first time, the polarization state of a single photon produced by one quantum dot has been successfully transferred to another [...]
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quantum-computingShor, QLDPC Codes, and the Compression of RSA Resource Estimates (Part II)
The Logistics of Retiring RSA in Legacy Environments If a cryptographically relevant quantum computer capable of executing Shor’s algorithm becomes operational, the cryptographic collapse of RSA and ECC will be instantaneous. But for the systems that rely on them, migration cannot be instantaneous. Where does the real-world execution risk actually sit? Part I of this series examined how the “Pinnacle Architecture” analysis (arXiv:2602.11457) compresses the physical qubit requirement for factoring RSA-2048 to approximately 100,000 qubits—an order-of-magnitude reduction from 2024 benchmarks. While significant engineering trade-offs remain (non-local connectivity, 10-microsecond decoding latency, one-month runtime estimates), the direction of travel is clear: the hardware threshold for a cryptographically relevant quantum computer (CRQC) is descending faster than linear projection models anticipated. This compression creates a structural tension. Even if a CRQC remains years away, the systems it will break are embedded in infrastructure with replacement cycles measured in decades, not months. The Installed Base Problem Unlike software vulnerabilities that can be patched remotely, the cryptographic foundations of legacy environments are often fixed at the hardware level. Three sectors illustrate the scope of the exposure. Industrial Control Systems and Critical Infrastructure Power grids, pipeline networks, and water treatment facilities operate on industrial control systems (ICS) and supervisory control and data acquisition (SCADA) platforms with lifecycles of 15 to 20 years. Many of these systems use embedded RSA-2048 for three distinct purposes: authenticated firmware updates, secure remote access, and device-to-control-center communication. The migration challenge is not cryptographic but physical. A substation controller manufactured in 2015 contains a hardware security module soldered to the board. Updating its cryptographic capabilities requires board replacement
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quantum-computingPsiQuantum and National Cancer Center Japan Partner to Scale Quantum Healthcare Applications
PsiQuantum and National Cancer Center Japan Partner to Scale Quantum Healthcare Applications PsiQuantum and the National Cancer Center Japan (NCC Japan) have signed a collaborative research agreement to accelerate the development of utility-scale quantum computing applications in oncology and healthcare. This strategic partnership aims to leverage fault-tolerant quantum algorithms to solve complex challenges in drug discovery, resource allocation, and patient outcomes. By simulating molecular systems with unprecedented chemical accuracy and speed, the collaboration seeks to bypass the high costs and lengthy timelines associated with current classical pharmaceutical R&D, ultimately providing a direct path from theoretical simulations to real-world clinical treatments. Central to this collaboration is the use of PsiQuantum’s Construct software suite, a comprehensive platform designed for the full lifecycle of fault-tolerant quantum algorithms. The Construct environment features specialized tools such as Workbench for symbolic algorithm definition, Qubricks—a collection of modular, optimized building blocks for chemistry and materials science—and a Resource Analyzer to identify computational bottlenecks. These tools will enable researchers at NCC Japan and partner pharmaceutical companies to design and optimize algorithms specifically for large-scale photonic quantum systems, ensuring they are prepared to deploy clinically relevant applications as soon as utility-scale hardware is available. The partnership is led by Dr. Takayuki Yoshino, Director of the Department of Global Oncology at NCC Hospital East, and Sam Pallister, PsiQuantum’s Vice President for Quantum Applications. This initiative aligns with Japan’s broader National Quantum Strategy and builds upon existing domestic research infrastructure, including the NCC’s recent collaborations with RIKEN on medical quantum computing. By integrating PsiQuantum’s photonic hardware roadmap with NCC Japan’s deep exper
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quantum-computingSUSS MicroTec: Margin Erosion In FY25 Has Not Broken The Thesis
Mandela Amoussou1.79K FollowersFollow5ShareSavePlay(17min)CommentsSummarySUSS MicroTec remains rated a Buy, despite FY25 margin and order intake challenges, with revenue guidance likely to be met.SESMF’s strategic positioning in advanced packaging, especially as sole supplier to TSMC’s CoWoS-L and majority share at Samsung and Micron, underpins its defensible moat.Margin recovery in FY26 is critical; Q4 results must show gross margin improvement and order intake rebound to validate the current $68 per share valuation.Risks include persistent cost pressures at Zhubei, customer concentration, and ongoing export controls, but industry-wide tariff exposure is not company-specific. Getty Images This is my third coverage of SUSS MicroTec (SESMF). The company is a well-run one, and I revisit SUSS MicroTec around earnings. My last article on this stock was a year ago, when the Q4 FY24This article was written byMandela Amoussou1.79K FollowersFollowI started out as a crypto investor a decade ago and remain deeply active in the crypto space. I cover Bitcoin miners, digital asset treasuries, and crypto ETFs majorly, but I also seek alpha in tech equities, especially in emerging sectors like quantum computing and orbital intelligence. I have initiated coverage as a first analyst here on Seeking Alpha to cover names like SealSQ (LAES), Rezolve AI (RZLV), among others, with Buy ratings. Several of these tickers have delivered double to triple digit returns since initial coverage. I try to go beyond surface level metrics and headline numbers. I focus on fundamentals, capital allocation, momentum, market structure, and management execution. And most of all, your comments matter. Even the critical comments are very much welcome, as they improve my work and sharpens the analysis. I value thoughtful disagreements. I look forward to learning and compounding together in the market. Best, MandelaAnalyst’s Disclosure: I/we have a beneficial long position in the shares of SESMF either throu
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quantum-computingAn adversary bound for quantum signal processing
AbstractQuantum signal processing (QSP) and quantum singular value transformation (QSVT), have emerged as unifying frameworks in the context of quantum algorithm design. These techniques allow to carry out efficient polynomial transformations of matrices block-encoded in unitaries, involving a single ancilla qubit. Recent efforts try to extend QSP to the multivariate setting (M-QSP), where multiple matrices are transformed simultaneously. However, this generalization faces problems not encountered in the univariate counterpart: in particular, the class of polynomials achievable by M-QSP seems hard to characterize. In this work we borrow tools from query complexity, namely the state conversion problem and the adversary bound: we first recast QSP as a state conversion problem over the Hilbert space of square-integrable functions. We then show that the adversary bound for a state conversion problem in this space precisely identifies all and only the QSP protocols in the univariate case. Motivated by this first result, we extend the formalism to several variables: the existence of a feasible solution to the adversary bound implies the existence of a M-QSP protocol, and the computation of a protocol of minimal space is reduced to a rank minimization problem involving the feasible solution space of the adversary bound.Featured image: On the left, the process of constructing a QSP protocol (univariate or multivariate) using the adversary bound. On the right a visualization of $Q_\tau$, a convex space of feasible solutions to the adversary bound for constructing a desired parameterized quantum state $\tau(z)$. If $Q_\tau$ is non-empty, then a QSP protocol for $\tau(z)$ exists.Popular summaryQuantum signal processing is an important primitive in the quantum algorithmic literature. Roughly speaking, by alternating occurrences of a unitary that encodes some complex number $z$ (the "signal" operator) with operations $A_k$ that are independent of $z$ (the "processing" operators)
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quantum-computingWhy KinderCare Learning Companies Stock Plunged 39% Friday Morning
By Anders Bylund – Mar 13, 2026 at 10:21AM ESTKey PointsKinderCare beat Q4 estimates but issued 2026 guidance that sent shares down 39% anyhow.Management expects EBITDA to fall 25% this year while EPS should drop from $0.62 to as low as $0.10.The CEO blamed "self-inflicted" problems but also pointed to economic instability.KinderCare Learning Companies (KLC 38.68%) pulled an earnings head-fake today. The company beat Q4 estimates, then dropped 2026 guidance that sent investors running for the exits. The stock is down 39% at 10:00 a.m. ET. Image source: Getty Images. What's dragging KinderCare down Management expects 2026 EBITDA profit to fall roughly 25% and EPS to crater from $0.62 to somewhere between $0.10 and $0.20. Occupancy slid from 67.8% to 64.5% and is expected to drop another 3% this year. CEO Tom Wyatt, who returned in December after an 18-month hiatus, blamed "self-inflicted" problems. Center directors got buried in busywork instead of enrolling kids. Fair enough. But there's a bigger story here. When families feel uncertain about the economy, discretionary spending tends to tighten and quality child care sits awkwardly between "necessity" and "luxury" for many households. Tariff chaos, federal workforce cuts, and a general sense that the economic ground is shifting kept consumers worried through 2025 and into 2026. Wyatt mentioned "instability" multiple times on the earnings call. That's one more voice expressing a common concern. Meanwhile, pandemic-era child care grants are drying up, and while the federal block grant got a below-inflation 1% bump this year, states are still sorting out who gets what. KinderCare's fixed cost structure doesn't care about any of this. Property rent and center director salaries cost the same whether classrooms are full or half-empty. That's how a flat revenue line turns into a 25% profit drop. ExpandNYSE: KLCKinderCare Learning CompaniesToday's Change(-38.68%) $-1.31Current Price$2.08Key Data PointsMarket Cap$402MDay's R
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quantum-computingQuantinuum Expands to Singapore with New R&D Centre and Helios Deployment
Quantinuum Expands to Singapore with New R&D Centre and Helios Deployment Quantinuum has officially expanded into Singapore with the establishment of a new R&D and Operations Centre. This facility will serve as the hub for the company’s first proprietary hardware installation outside the United States: the Helios quantum computer, scheduled for deployment later this year. The initiative is designed to accelerate industrial applications in pharmaceuticals, materials science, and finance while supporting Singapore’s National Quantum Strategy. The Centre’s operations are supported by the Singapore Economic Development Board (EDB) and involve a deep partnership with the National Quantum Office (NQO), hosted at A*STAR and funded by the National Research Foundation (NRF). Quantinuum is already collaborating with local startups, including Entropica, which utilizes Quantinuum systems through a startup partner program, and Squareroot8, with whom a new Memorandum of Understanding (MoU) was signed to co-develop quantum communications applications. Strategically, the Helios system—built on the Quantum Charge-Coupled Device (QCCD) architecture—will provide local researchers and industry partners with hands-on access to one of the world’s most accurate quantum platforms. This move aligns with Singapore’s broader goal of becoming a global hub for quantum algorithms and workforce development, bridging the gap between academic research and commercial utility-scale quantum computing. For full details on the Singapore expansion and the Helios roadmap, consult the official Quantinuum announcement here. March 13, 2026 Mohamed Abdel-Kareem2026-03-13T06:22:50-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.
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quantum-computingInstitut quantique Joins Qblox Excellence Center Program to Advance Distributed Quantum Computing
Institut quantique Joins Qblox Excellence Center Program to Advance Distributed Quantum Computing The Institut quantique (IQ) at the Université de Sherbrooke has partnered with Qblox to become a Qblox Excellence Center. This strategic collaboration is focused on advancing research at the graduate and postdoctoral levels, specifically targeting the infrastructure required for Distributed Heterogeneous Quantum Computing. By combining Qblox’s modular control stacks with IQ’s expertise in hybrid quantum systems and transduction, the partnership aims to develop scalable, fault-tolerant architectures. The IQ’s Quantum FabLab (QFL) has been equipped with Qblox’s advanced control electronics to support research across multiple qubit modalities. This hardware enables the fabrication and optimization of superconducting qubits, spin qubits, and hybrid quantum systems, providing researchers with the flexibility to conduct high-fidelity experiments. The joint co-development project focuses on identifying and removing the technical barriers that currently limit the deployment of quantum computing at scale within high-performance computing (HPC) environments. In addition to hardware integration, the partnership emphasizes workforce development through co-organized scientific workshops and hackathons. These initiatives are designed to provide students and researchers with hands-on experience using industry-standard control hardware, ensuring the next generation of quantum engineers is equipped for industrial-scale research. By bridging the gap between pioneering academic research and robust control technology, the Qblox Excellence Center at the Université de Sherbrooke serves as a collaborative hub for scaling the global quantum ecosystem. This expansion of the Excellence Center program builds on the successful model established with Chalmers University of Technology and the Wallenberg Centre for Quantum Technology (WACQT) in 2025. At Chalmers, the partnership has been instrumental
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quantum-computingExplicit decoders using fixed-point amplitude amplification based on QSVT
AbstractReliably transmitting quantum information via a noisy quantum channel is a central challenge in quantum information science. While constructing a decoder is crucial to this goal, little was known about quantum circuit implementations of decoders that reach high communication rates. In this paper, we provide two decoders with explicit quantum circuits capable of recovering quantum information when the decoupling condition is satisfied, i.e., when quantum information is in principle recoverable. These are applicable to both entanglement-assisted and non-assisted settings. By developing a technique that relies on a symmetric structure of the decoders, we show that they are applicable to any noise model. As a consequence, for any noisy channel, our decoders can be used to achieve a communication rate arbitrarily close to the quantum capacity by increasing the number of channel uses. To construct the decoders, we employ the fixed-point amplitude amplification (FPAA) based on the quantum singular value transformation (QSVT), extending a previous approach applicable only to erasure noise. Our constructions offer advantages in the computational cost, largely reducing the circuit complexity compared to previous explicit decoders. Through an investigation of the decoding problem, unique advantages of the QSVT-based FPAA are highlighted.Featured image: A diagram of quantum communication, where the boxes represent quantum channels. The purpose of the sender and the receiver is to transmit quantum information via a noisy channel $\mathcal{N}^{C\to D}$. They may share $(\log d_B)$-ebit entanglement in advance, which is used in the encoding and decoding. When $d_B = 1$, this corresponds to the entanglement-non-assisted setting, while $d_B \neq 1$ corresponds to the entanglement-assisted setting with a limited or unlimited amount of entanglement. In this work, we focus on decoding and provide explicit algorithms.Popular summaryQuantum information is easily destroyed by nois
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quantum-computingAI driven automation of telcoms infrastructure is “turning the page” for operators’ broken business model
Share this article Copy Link Share on X Share on Linkedin Share on Facebook AI driven automation is transforming the telco industry. Credit: Suwin66/shutterstock Network operators have struggled with maintaining a viable business model since the emergence of the internet. Money-making voice calls became just another data payload, alongside many other applications, including video. The demands on their networks grew exponentially, but revenues did not. “Network operators became their own worst enemies at this point with the way they priced services,” explains Jerry Caron, GlobalData head of research and analysis for the company’s technology business. “They commoditised themselves.” The emergence of AI is like “turning a new page” for telecoms, according to Caron referring to the growing demand for AI applications that requires the kind of connectivity drive and maintain this AI app boom. “This is finally providing the industry an opportunity to effectively monetise its assets—if they play their cards right,” says Caron. As a result, Caron noted a positive atmosphere at MWC 2026 despite a backdrop of global geopolitical turmoil. AI is also transforming how operators run their networks. Great automation is finally delivering the operational efficiency required to balance the books. “We’ve all been talking about AI and automation in telecoms for about ten years but it’s now happening and it’s a gamechanger. There is a cost to implementation, of course, but we are seeing real, tangible, visible progress on the overall lowering of operating costs,” says Caron. AI enables product innovation Additionally, AI-driven network infrastructure management automation enables granular task-based pricing for AI applications. Replacing the old model of unlimited access for a flat fee, operators can potentially innovate with different pricing structures and services. Blessing Makumbe, Ericsson’s vice president and head of cloud services and software for Northern Europe, agrees that the
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quantum-computingDysonNet: Constant-Time Local Updates for Neural Quantum States
--> Quantum Physics arXiv:2603.11189 (quant-ph) [Submitted on 11 Mar 2026] Title:DysonNet: Constant-Time Local Updates for Neural Quantum States Authors:Lucas Winter, Andreas Nunnenkamp View a PDF of the paper titled DysonNet: Constant-Time Local Updates for Neural Quantum States, by Lucas Winter and 1 other authors View PDF HTML (experimental) Abstract:Neural quantum states (NQS) provide a flexible variational framework for many-body wavefunctions, but suffer from high computational cost and limited interpretability. We introduce DysonNet, a broad class of NQS that couples strictly local nonlinearities through global linear layers. This structure is analogous to a truncated Dyson series which gives an intuitive interpretation of local wavefunction updates as scattering from static impurities. By resumming the scattering series, single-spin-flip updates can be computed in $\mathcal{O}(1)$ time, independent of system size, using an algorithm we call ABACUS. Implementing DysonNet with the state-space model S4, we obtain up to $230\times$ speedups over Vision-Transformers for computing the local estimator. This corresponds to an asymptotic $\mathcal{O}(N^2)$ improvement in training-time scaling, reaching $\mathcal{O}(N \log^2 N)$ total training complexity in area-law phases. Benchmarks on the 1D long-range Ising model and frustrated $J_1$-$J_2$ chains show that DysonNet matches state-of-the-art NQS accuracy while removing the dominant local-update overhead. More broadly, our results suggest a route to scalable NQS architectures where physical interpretability directly enables computational efficiency. Comments: Subjects: Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn) Cite as: arXiv:2603.11189 [quant-ph] (or arXiv:2603.11189v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2603.11189 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Lucas Winter [view email]
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quantum-computingKraus map closed-form solution for general master equation dynamics
--> Quantum Physics arXiv:2603.11207 (quant-ph) [Submitted on 11 Mar 2026] Title:Kraus map closed-form solution for general master equation dynamics Authors:Shahrukh Chishti, Francisco Andrés Cárdenas-López, Felix Motzoi View a PDF of the paper titled Kraus map closed-form solution for general master equation dynamics, by Shahrukh Chishti and 2 other authors View PDF HTML (experimental) Abstract:The Kraus representation of quantum channels allows for a precise emulation of the complex dynamics that take place on quantum processors, whether for benchmarking algorithms, predicting the performance of error correction and mitigation, or in the myriad other uses of compiled digital sequences. Nonetheless, starting from first principles to obtain continuous quantum master equations involves various approximations such as weak coupling to the environment. Further, converting these equations to Kraus operators cannot generally be obtained in closed-form due to the complicated commutator structure of the problem. In our work, we bridge this gap by providing a general closed form formulation for arbitrarily strong driving while remaining linear in the dissipator. The Kraus solution is expressed as a Riemann sum where higher terms can converge quickly to high precision, which we demonstrate numerically. Such a formulation is highly relevant to quantum computing and gate-based models, where effective models are highly sought for large rotation gate angles, even under the influence of underlying non-trivial noise mechanisms. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2603.11207 [quant-ph] (or arXiv:2603.11207v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2603.11207 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Felix Motzoi [view email] [v1] Wed, 11 Mar 2026 18:25:07 UTC (428 KB) Full-text links: Access Paper: View a PDF of the paper titled Kraus map closed-form solution for gener
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quantum-computingQuantum Annealing Work Shows Hydrogen Storage Unlocks Better Power Grids
Researchers are tackling the growing challenge of efficiently managing household energy with integrated hydrogen storage, a crucial step towards wider renewable energy adoption. Arash Khalatbarisoltani from Chongqing University, Amin Mahmoudi from Flinders University, and colleagues have developed a novel power allocation framework leveraging quantum annealing to optimise large-scale household energy scheduling. This collaborative work, conducted with researchers at Loughborough University, Shanghai Jiao Tong University, University of South Australia, and Murdoch University, addresses the computational complexity of controlling fuel cells and electrolysers in systems with numerous households. The team’s hierarchical model predictive control approach, utilising quantum annealing, demonstrably outperforms traditional optimisation methods as the scale of the network increases, offering a potentially transformative solution for integrating renewable energy and hydrogen technologies into future microgrids. Quantum optimisation unlocks efficient control of large-scale residential hydrogen microgrids Naren Manjunath from the Perimeter Institute and colleagues have demonstrated that a quantum annealing approach outperformed traditional optimisation methods when solving large-scale household energy scheduling problems. Previously, such problems were intractable for more than a few homes. However, the system successfully managed up to numerous connected households. This breakthrough stems from a novel hierarchical model predictive control framework designed to accelerate optimisation, particularly when managing the complex interactions between fuel cells and electrolyzers within a hydrogen microgrid. The core challenge lies in the combinatorial explosion of possible solutions as the number of households, fuel cells, and electrolyzers increases, creating a high-dimensional optimisation landscape with numerous binary decision variables determining equipment on/off states and po
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quantum-computingMaybell Quantum Unveils Scalable Cryogenic Cooling Platform for Quantum Computing
Maybell Quantum has unveiled ColdCloud, a scalable cryogenic cooling platform designed to overcome limitations hindering the widespread adoption of quantum computing. The system promises to deliver over ten times the energy efficiency of existing technologies, reducing cooldown times from days to hours and offering the modularity needed for datacenter integration. Unlike conventional dilution refrigerators, ColdCloud centralizes cooling power and distributes it to independent nodes configurable for various quantum applications, potentially replacing entire rooms of equipment. “Maybell’s mission to build the world’s quantum infrastructure has always been about the ColdCloud,” said Corban Tillemann-Dick, Founder and CEO of Maybell Quantum, adding that the company filed initial patents for the platform shortly after its founding. This new approach aims to move quantum computing from a research environment to practical, commercial viability. ColdCloud Platform: Scalable Cryogenic Cooling for Quantum Computing Maybell Quantum’s ColdCloud platform addresses a critical bottleneck in quantum computing: cryogenic cooling. These nodes can be tailored to reach temperatures below 10 millikelvin for superconducting qubits or adjusted for other quantum modalities, offering a unified platform to replace sprawling, inefficient refrigerator rooms. Existing cryogenic technology faces limitations; scaling to a million qubits using traditional methods would require thousands of individual refrigerators, consuming megawatts of power and offering a projected mean time between failures of less than two weeks. “The dilution refrigerator took quantum computing from impossible to possible.” A core innovation is the Maybell-cycle, a novel cryogenic cycle that brings liquefaction efficiency to a scale suitable for research labs and industrial applications, dramatically expanding the reach beyond industrial gas facilities. This approach yields substantial resource savings; Maybell claims ColdCl
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quantum-computingQuantum technology could transform everything from materials science to medicine — and New Mexico is leading the way. With more than $100 million invested and strong partners like the University of New Mexico, the future of this trillion-dollar industry is tak - facebook.com
Quantum technology could transform everything from materials science to medicine — and New Mexico is leading the way. With more than $100 million invested and strong partners like the University of New Mexico, the future of this trillion-dollar industry is tak facebook.com
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