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[qmeets talk] High-rate quantum processors
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[qmeets talk] High-rate quantum processors

[qmeets talk] High-rate quantum processors Dates: Wednesday, October 21, 2026Web page: qmeetsRegistration deadline: Wednesday, October 21, 2026Submission deadline: Wednesday, October 21, 2026Abstract: Quantum error correction can make imperfect qubits reliable, but a useful quantum computer must also manipulate the protected information. Can we encode many logical qubits with little redundancy while retaining flexible control and fast computation? In this joint presentation, we will discuss our recent work on designing quantum processors with high-rate quantum low-density parity-check (qLDPC) codes. We introduce finite-size codes that combine high encoding rates of 20–30%, practical block sizes, and sufficient error protection. By constructing a structured logical basis and leveraging code symmetries, we can build a universal logical instruction set from a few gadgets with rigorously certified fault tolerance. For instance, as few as two reusable ancillary surgery gadgets, supplemented with magic-state input, enable universal logical processing. Using fast decoders compatible with real-time operation, direct simulations support logical computation involving more than ten billion operations. These processors further support highly parallel logic: some codes can perform hundreds of logical operations simultaneously, allowing logical parallelism to compensate for a slow physical clock. We will also discuss the compatibility of these designs with reconfigurable neutral-atom arrays and superconducting circuits. Together, these results point toward architectures that combine high encoding density, computational flexibility, and speed, opening new routes toward resource-efficient quantum computers capable of executing utility-scale algorithms. Speakers: Hsin-Yuan (Robert) Huang & Qian Xu [Online seminar] Format: Each talk will be 20 + 10 minutes, followed by 15 minutes of general discussion. Do you have speaker suggestions? Interested in a joint sem

Oct 16, 2026

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Google Just Cut a Major Quantum Computing Error Rate by 40 Times - 24/7 Wall St.
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Google Just Cut a Major Quantum Computing Error Rate by 40 Times - 24/7 Wall St.

Investing Google Just Cut a Major Quantum Computing Error Rate by 40 Times Google's quantum lab just cleared a barrier that has quietly set the ceiling on how powerful a quantum computer can ever get, and the implications reach well beyond a single research paper. By Omor Ibne Ehsan Published October 16, 2026, 7:15am ET · 3 min read 𝕏 f ⧉ Researchers work in a state-of-the-art quantum computing laboratory, reflecting the advanced scientific environments where breakthroughs like Google's recent error rate reduction are made. © Shutterstock Google Quantum AI published “Magic state cultivation on a superconducting quantum processor” in the journal Science on October 15, 2026. The paper is the first hardware demonstration of a technique that cut errors 40-fold compared with states prepared without it.CCSettingsOffArabicChineseEnglishFrenchGermanHindiPortugueseSpanishFont ColorwhiteFont Opacity100%Font Size100%Font FamilyArialText ShadownoneBackground ColorblackBackground Opacity50%Window ColorblackWindow Opacity0%WhiteBlackRedGreenBlueYellowMagentaCyan100%75%50%25%200%175%150%125%100%75%50%ArialGeorgiaGaramondCourier NewTahomaTimes New RomanTrebuchet MSVerdanaNoneRaisedDepressedUniformDrop ShadowWhiteBlackRedGreenBlueYellowMagentaCyan100%75%50%25%0%WhiteBlackRedGreenBlueYellowMagentaCyan100%75%50%25%0%Video Muted Class A shares of Alphabet (NASDAQ:GOOG | GOOG Price Prediction, NASDAQ:GOOGL) rose 0.45% that day to close at $349.22, which valued the company at $4.27 trillion. The small move reflects how a stock this large trades on search, cloud, and AI, and investors treated the paper as good science with a distant return. A lab result like this changes very little. It strengthens a long-term research effort that Alphabet can fund with its own profits.

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monoprop: Scaling Pauli and Majorana propagation via Anticommutation Indices
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monoprop: Scaling Pauli and Majorana propagation via Anticommutation Indices

--> Quantum Physics arXiv:2610.21000 (quant-ph) [Submitted on 14 Oct 2026] Title:monoprop: Scaling Pauli and Majorana propagation via Anticommutation Indices Authors:Aaron Miller View a PDF of the paper titled monoprop: Scaling Pauli and Majorana propagation via Anticommutation Indices, by Aaron Miller View PDF HTML (experimental) Abstract:We introduce monoprop, an open-source, massively parallel operator-propagation framework for fermion and qubit bases. For $N$ qubits or modes, existing codes represent each of the $K$ tracked operator terms (Pauli strings or products of Majorana operators) as a $2N$-bit string, testing each for anticommutation with the gate at $O(KN)$ cost per gate. Here, we introduce the anticommutation index which rapidly looks up the terms anticommuting with a gate. A local gate changes only the terms that touch its sites, and when terms are truncated to act on few sites, only a fraction $\sim1/N$ touch any given qubit or mode, and we use this to prove the time per gate scales as $O(K/N)$. This counterintuitive result tells us that for a fixed number of terms, increasing the number of sites can make things faster. We demonstrate this numerically, and show monoprop scales almost ideally to 8192 cores, tracking $9.5\times10^{10}$ terms. Beyond propagation, we present memory-efficient surrogate graphs, which record one propagation and replay it at new angles, for fast energy re-estimation and parameter gradients, and an efficient method for finding energy-minimising gates and optimal angles for simulating adaptive quantum-chemistry circuits. Comments: Subjects: Quantum Physics (quant-ph); Strongly Correlated Electrons (cond-mat.str-el) Cite as: arXiv:2610.21000 [quant-ph]   (or arXiv:2610.21000v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2610.21000 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Aaron Miller Mr [view email] [v1] Wed, 14 Oct 2026 22:36:34 UTC (116 KB) F

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Google Quantum AI Demonstrates Magic State Cultivation on Willow Processor in Science Milestone
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Google Quantum AI Demonstrates Magic State Cultivation on Willow Processor in Science Milestone

Kickback tomography (KT). In a milestone study published in Science, experimentalists and software engineers at Google Quantum AI have demonstrated the first physical hardware implementation of magic state cultivation, achieving a 40-fold error reduction and producing T-states with a record 99.99(1)% logical fidelity (error rate ≤ 0.0001) on the company’s Willow superconducting quantum processor. The research paper (“Magic state cultivation on a superconducting quantum processor“) addresses one of fault-tolerant quantum computing’s most severe physical bottlenecks. For over two decades, generating the non-Clifford T-states required for universal, fault-tolerant quantum computation via traditional distillation protocols was projected to consume 90% to 95% of a quantum computer’s total physical qubit footprint. Cultivation creates these states in a fraction of the spatial footprint by utilizing small, interactive color codes before grafting the purified states into surface codes. [ Magic State Cultivation vs. Traditional Distillation Benchmarks ]Metric / ParameterTraditional Distillation ProtocolsWillow Hardware Cultivation Demonstration• Physical Qubit Footprint• Eats up 90%–95% of total system physical qubits• Fractional footprint using small, local code-switching patches.• Logical $T$-State Fidelity• Requires multi-factory cascade distillation rounds• 99.99(1)% Logical Fidelity (≤ 0.0001 error rate; 40x error reduction).• Attempt Yield & Filtering• High overhead; discards vast majority of physical qubits• 8% state retention rate via fault-tolerant measurement filtering.• Code-Switching Architecture• Static 2D surface code lattices• Distance-3 Color Code → Distance-5 Surface Code state grafting. The experimental protocol injects a noisy initial state into a small, localized region of the Willow chip and executes coordinated measurements across a distance-3 color code—a quantum error correction scheme specifically suited for cultivation. Once the error-filtering

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Google demonstrates quantum computing breakthrough, cuts errors 40-fold - Investing.com
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Google demonstrates quantum computing breakthrough, cuts errors 40-fold - Investing.com

Nasdaq ends higher in big rebound as bond rally offsets tech softness, hot PPI TSMC Q3 profit surges to record high on AI demand; says considering Texas fab UBS now expects a third Fed rate hike after hot September inflation print Investing.com -- Google’s Quantum AI team has demonstrated a technique that could help overcome a major bottleneck in quantum computing, reducing errors roughly 40-fold on its Willow processor, according to research published Thursday in Science. The technique, known as “magic state cultivation,” addresses the high cost of producing reliable quantum states needed to run complex quantum programs. Some estimates suggest magic state production could consume up to 95% of a quantum computer’s capacity, leaving fewer resources for computation. Magic states enable quantum processors to perform operations required for universal quantum computing. But producing them with sufficiently low error rates has remained a significant challenge to building practical, large-scale systems. Google’s approach uses coordinated measurements to detect errors and filter out faulty attempts, producing higher-quality states with fewer resources. On Willow, the method achieved a logical fidelity of 99.99% for T-states, a type of magic state used in quantum computing. Researchers also demonstrated that cultivated states could be transferred between two quantum error-correction methods, marking progress toward integrating the technique into Google’s existing architecture. The results provide an experimental demonstration of an approach developed theoretically in 2024. Google said further work is needed to scale the technique for practical quantum computing, but the findings offer a potential path to reducing the hardware resources required to build fault-tolerant quantum systems. The fastest way to find out is with our Fair Value calculator. We use a mix of 17 proven industry valuation models for maximum accuracy.

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Quantum Source details a blueprint for scalable quantum computers
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Quantum Source details a blueprint for scalable quantum computers

Quantum Source reports demonstrating a single-atom memory that increases entanglement rates between quantum processors by eliminating the need for simultaneous photon arrivals. This advancement addresses key barriers to fault tolerance and connectivity, previously insurmountable for single quantum hardware platforms. Former Israeli Prime Minister Naftali Bennett believes this approach, combining photons and atoms, offers “the most scalable path to fault-tolerant quantum computers.” The company also achieved a first: the demonstration of single-atom trapping and coupling near a planar photonic chip, an important step toward scalable atom-photon interfaces. Atom-Photon Hybrid Architecture for Fault Tolerance This achievement overcomes a significant engineering hurdle in integrating disparate quantum systems, allowing for strong interactions between individual atoms and photons on a single platform. Researchers successfully confined a single atom within the evanescent field of an integrated photonic resonator, enabling efficient coupling for quantum operations. This atom-photon coupling directly addresses the challenges of entanglement distribution, a key requirement for fault-tolerant quantum computation. This innovation simplifies the synchronization demands of quantum communication, a major obstacle for scaling quantum networks and distributed quantum computing. The team’s work details how this memory enhances the reliability and speed of entanglement generation, which is important for error correction protocols. Bennett, also a Quantum Source Board Member, highlighted the potential of combining the strengths of photonic and atomic qubits to overcome limitations inherent in single-platform approaches. The company’s blueprint aims to use photons for long-distance communication and atom-based quantum memory for robust data storage and processing. Quantum Source, recently voted by “Globes” readers as their favorite startup, is developing a quantum computer based on thi

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India National Quantum Mission

Explore India's ₹6,003 Crore quantum initiative: 4 thematic hubs, leading startups, and the latest developments in India's quantum ecosystem

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