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quantum-computing4 Things Every Alphabet Investor Needs to Know
By Geoffrey Seiler – Feb 10, 2026 at 6:45AM ESTKey PointsGoogle search is still Alphabet's biggest business, and it has a wide moat.Google Cloud has been Alphabet's biggest growth driver.The company's TPUs give it a big cost advantage. We’re bullish on these 10 stocks ›NASDAQ: GOOGLAlphabetMarket Cap$3.9TToday's Changeangle-down(0.48%) $1.55Current Price$324.41Price as of February 9, 2026 at 3:58 PM ETAlphabet is a leader in search and cloud computing, with nice advantages in each.Alphabet (GOOGL +0.48%) (GOOG +0.45%) is a stock most investors are at least somewhat familiar with. And given its performance of late, many investors are wondering if it's a stock worth investing in (or investing more in). Let's look at four things every investor needs to know about the Alphabet and its stock. Image source: Getty Images. 1. Google search is still its main business While Alphabet's cloud computing and other businesses have been gaining more attention, search is still its bread and butter. The company holds a dominant position in search, with about a 90% global market share. Search revenue made up 55% of Alphabet's total in 2025. While artificial intelligence (AI) was initially feared to be disruptive to Google search, the company has embedded AI throughout its search business, helping drive growth. In Q4, its search revenue grew a robust 17%, and its search revenue growth accelerated every quarter last year. ExpandNASDAQ: GOOGLAlphabetToday's Change(0.48%) $1.55Current Price$324.41Key Data PointsMarket Cap$3.9TDay's Range$317.30 - $327.7052wk Range$140.53 - $349.00Volume3.6KAvg Vol37MGross Margin59.68%Dividend Yield0.26% 2. The company has a wide search moat Alphabet's big competitive moat in search comes from its distribution edge. Alphabet owns both the world's most widely used browser in Chrome and the most common smartphone operating system with Android. Both have about 70% market share. Meanwhile, the company has a search revenue-sharing deal with Apple to b
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quantum-computingQuantum Uncertainty Principle Sharpened with New Geometric Optimisation Technique
Researchers have long sought to define the limits of simultaneous knowledge about complementary observables, a pursuit central to the field of quantum mechanics. Ma-Cheng Yang and Cong-Feng Qiao, both from the School of Physical Sciences at the University of Chinese Academy of Sciences, alongside their colleagues, now present a novel geometric approach to calculating tight entropic uncertainty relations, a longstanding problem with solutions previously limited to specific scenarios. By reformulating the challenge as a geometric optimisation within probability space, they have developed an effective method for determining these bounds with pre-defined precision in finite-dimensional systems. This advancement, inspired by earlier work from Schwonnek et al., significantly improves upon existing analytical and majorisation-based techniques and offers practical benefits for applications such as quantum steering. Determining these relations for general measurements has long presented a significant challenge, with tight bounds previously known only in limited, specific cases. This work addresses this limitation by reformulating the problem as a geometric optimization task within the quantum probability space. The resulting approach yields tight entropic uncertainty bounds for general measurements in finite-dimensional quantum systems, achieving a preassigned level of numerical precision. Motivated by earlier work from Schwonnek et al., the team recast the calculation of uncertainty bounds as an efficient outer-approximation method. This procedure circumvents the typical difficulties associated with global optimization problems, which often involve navigating numerous local minima. By focusing on an effective outer approximation, the research guarantees that each iterative step produces a valid lower bound, ensuring a robust and reliable solution. The innovation lies in its ability to move beyond existing analytical and majorization-based bounds, offering a practical advant
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quantum-computingEntangled Neutrinos at DUNE Could Unlock Secrets of Stellar Explosions
Scientists investigate the potential of using quantum entanglement to determine the neutrino mass ordering using data anticipated from the Deep Underground Neutrino Experiment (DUNE). Adikiran Johny (Central University of Karnataka), Athulkrishna R, and Rudra Majhi (Department of Physics, Nabarangpur College) et al. present a novel approach, framing supernova neutrino oscillations as an effective multipartite quantum state and quantifying flavour correlations via entanglement measures. This research is significant because establishing the neutrino mass ordering remains a fundamental challenge in particle physics, and their analysis demonstrates DUNE’s capability to determine this ordering for supernovae up to approximately 10 kpc, utilising charged current and neutral current detection channels. The team’s findings highlight entanglement-based observables as a complementary and robust method for studying supernova neutrino oscillations and resolving the long-standing mystery of neutrino mass ordering. This work demonstrates that analysing neutrino flavour correlations through quantum entanglement offers a complementary and robust framework for probing supernova neutrino oscillations. Researchers have quantified these flavour correlations using entanglement of formation, concurrence, and negativity, directly relating these measures to neutrino survival and transition probabilities. Benchmark scenarios, defined by variations in electron neutrino survival probability, were constructed to evaluate the sensitivity of DUNE to the neutrino mass ordering. Event rates and fluences were computed for a supernova located at 10 kpc, utilising detector-level simulations performed with the SNOwGLoBES framework. These simulations incorporated the Garching supernova flux model and focused on dominant detection channels in liquid argon, namely νe and νe charged-current interactions on argon and elastic scattering on electrons. The analysis considered both individual and combined dete
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quantum-computingArtificial Black Holes Emit Radiation, Mimicking Hawking’s Groundbreaking Prediction
Researchers are increasingly exploring condensed matter systems to simulate and understand phenomena associated with black holes, and a new study by Jaiswal, Shankaranarayanan, and colleagues from the Department of Physics, Indian Institute of Technology Bombay, details the emergence and detection of Hawking radiation within a quenched chiral spin chain. This work is significant because it moves beyond simply demonstrating analogous black hole conditions to analysing the characteristics of the emitted radiation and proposing methods for its unambiguous detection. By employing both field-theoretic calculations and modelling operational quantum sensors, the team reveal deviations from ideal blackbody spectra and establish a clear protocol for differentiating genuine analog Hawking radiation from background noise in experimental platforms. Analogue Hawking radiation emerges from a chirally-driven spin chain quantum simulator through collective excitations of magnons and triplons Researchers have demonstrated the emergence and detection of Hawking radiation within a one-dimensional chiral spin chain, offering a novel platform for investigating quantum gravity phenomena. This work simulates gravitational collapse using a sudden quantum quench, inducing a phase transition that mimics the formation of a black hole horizon. By mapping the spin chain dynamics onto a Dirac fermion in a curved spacetime, the study meticulously analyzes the resulting radiation spectrum and its detectability through two distinct approaches: field-theoretic modes and operational quantum sensors. Initial findings reveal that the observed radiation spectrum deviates from the ideal Planckian form, exhibiting frequency-dependent characteristics analogous to greybody factors, yet maintains robust Poissonian statistics indicative of information loss at the formation scale. To further probe this analogue Hawking radiation, a qubit was introduced as a stationary Unruh-DeWitt detector, coupled to the chir
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quantum-computingQuantum Computer Controls Refined to Pinpoint Sources of Error in Calculations
Researchers are increasingly focused on mid-circuit measurements as essential building blocks for achieving scalable quantum computation. Piper C. Wysocki (University of New Mexico and Sandia National Laboratories), Luke D. Burkhart (MIT Lincoln Laboratory), and Madeline H. Morocco (MIT Lincoln Laboratory) et al. present a detailed characterisation of these measurements on a transmon qubit, offering a significant advance in understanding their underlying mechanisms. Their work tackles the difficulty of interpreting experimentally obtained measurement data by adapting a generator formalism, previously used for noisy quantum gates, to mid-circuit measurements. By deploying this new analysis, the team successfully quantified contributions from amplitude damping, readout errors, and imperfect state collapse, demonstrating a parsimonious model that recovers key features of dispersive readout and provides a more physically intuitive understanding of this crucial quantum process. Characterising mid-circuit measurement errors using an error generator formalism Researchers have developed a new method for dissecting and understanding errors within mid-circuit measurements, a crucial component for building large-scale, fault-tolerant quantum computers. These measurements, which read qubit states during computation without fully collapsing them, are essential for quantum error correction and advanced quantum algorithms. However, characterizing the errors inherent in these mid-circuit measurements has proven challenging, limiting the ability to debug and improve quantum circuits. This work introduces a framework adapting the error generator formalism, previously used to analyze noisy quantum gates, to the unique characteristics of mid-circuit measurements. The study overcomes a key obstacle by constructing a representation of errors that mirrors the established error generators used for logic gates, despite the fundamentally different nature of mid-circuit measurement transfer m
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quantum-computingSecuring the Future: How OQC and QinetiQ Are Advancing Quantum for Defence and Security, A New Frontier in Defence Technology
TECHNICAL BLOG Securing the Future: How OQC and QinetiQ Are Advancing Quantum for Defence and Security, A New Frontier in Defence Technology By using OQC’s Toshiko quantum computer, OQC and QinetiQ demonstrated that quantum optimisation could successfully identify bottleneck or gatekeeper nodes that ensure connectivity across the network – a vital insight for maintaining mission-critical communications. Rodrigo Chaves ALGORITHM DEVELOPER Rodrigo completed his PhD in Computer Science at the Universidade Federal de Minas Gerais (UFMG), in the group of Gabriel Coutinho. He worked with Quantum Walks and Graph Theory where he defined a family of graphs that contains nodes with zero probability of finding the walker. He joins OQC as the Algorithm Developer, working in the Research and Development team. The defence and security landscape is being reshaped by the convergence of advanced technologies: from AI and edge computing to cybersecurity and network resilience. At the heart of the next great leap lies quantum computing, a transformative capability that enables organisations to solve problems previously considered intractable. In collaboration with QinetiQ, a leading defence technology company, OQC has demonstrated how quantum computing can be used to strengthen the security and resilience of communication networks – one of the most critical assets in modern defence. The joint study explored how OQC’s Toshiko quantum computer and cloud-based API could power algorithms capable of identifying critical nodes within Mobile Ad-Hoc Networks (MANETs): the flexible, rapidly deployable networks that connect forces and assets in dynamic or hostile environments. This work is not just a technical milestone. It is a strategic signal of how sovereign quantum infrastructure can potentially enhance national resilience, decision-making, and secure communications in an era defined by uncertainty and complexity. As cyber threats evolve and data volumes multiply, quantum-enabl
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quantum-computingAI Accurately Predicts Behaviour of Ultra-Cold Quantum Droplets in New Simulations
Researchers are increasingly applying machine learning techniques to complex physical systems, and a new study demonstrates the power of Physics-Informed Neural Networks (PINNs) in modelling quantum droplets within binary Bose-Einstein condensates. Dongshuai Liu from Fuyang Normal University, alongside Boris A. Malomed from the Universidad de Tarapacá, and Wen Zhang from Fuyang Normal University et al., have successfully employed PINNs to predict the structural features, multipeak profiles, and dynamical behaviour of these quantum droplets. This work is significant because it showcases PINNs’ ability to accurately model these complex systems, even when data is contaminated by noise, and offers a robust method for parameter discovery in quantum physics. This work demonstrates the potential of integrating deep learning with established physical laws to analyse highly nonlinear systems, offering a new approach to understanding quantum phenomena. The study reveals that PINNs can reliably predict the structural features, profiles, and dynamic evolution of these quantum droplets, even under challenging conditions. Specifically, the research showcases the stable evolution of multi-peak quantum droplets, a characteristic previously difficult to model with conventional numerical techniques. The core achievement lies in the PINN method’s ability to extract reliable parameters from data, even when that data is contaminated with noise. By incorporating physical knowledge directly into the neural network architecture, the researchers circumvent limitations of purely data-driven approaches. Comparisons between different network configurations revealed that even streamlined architectures can accurately forecast quantum droplet dynamics, assessed through metrics like training time, loss values, and error. This efficiency is crucial for tackling complex simulations and parameter discovery tasks. Furthermore, the robustness of the PINN method was rigorously tested by introducing rand
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quantum-computingOn Certified Randomness from Fourier Sampling or Random Circuit Sampling
AbstractCertified randomness has a long history in quantum information, with many potential applications. Recently Aaronson and Hung proposed a novel public certified randomness protocol based on existing random circuit sampling (RCS) experiments. The security of their protocol, however, relies on non-standard complexity-theoretic conjectures which were not previously studied in the literature. Inspired by this work, we study certified randomness in the quantum random oracle model (QROM). We show that quantum Fourier Sampling can be used to define a publicly verifiable certified randomness protocol with black-box security without any computational assumptions. In addition to giving a certified randomness protocol in the QROM, our work can also be seen as supporting Aaronson and Hung's conjectures for RCS-based randomness generation, as our protocol is in some sense the "black-box version" of Aaronson and Hung's protocol. In further support of Aaronson and Hung's proposal, we prove a Fourier Sampling version of Aaronson and Hung's conjecture by extending Raz and Tal's separation of BQP vs PH. Our work complements the subsequent certified randomness protocol of Yamakawa and Zhandry (2022) in the QROM. Whereas the security of that protocol relied on the Aaronson-Ambainis conjecture, ours does not rely on any computational assumption – at the expense of requiring exponential-time classical verification. Our protocol also has a simple heuristic implementation.► BibTeX data@article{Bassirian2026certifiedrandomness, doi = {10.22331/q-2026-02-10-2002}, url = {https://doi.org/10.22331/q-2026-02-10-2002}, title = {On {C}ertified {R}andomness from {F}ourier {S}ampling or {R}andom {C}ircuit {S}ampling}, author = {Bassirian, Roozbeh and Bouland, Adam and Fefferman, Bill and Gunn, Sam and Tal, Avishay}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2002}, mon
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quantum-computingQuantum States Verified with Minimal Disturbance, Paving the Way for Reusable Data
Researchers are increasingly focused on extracting information from quantum systems without destroying the underlying state, a challenge with implications for quantum technologies and privacy-preserving machine learning. Cristina Butucea from CREST, ENSAE, Institut Polytechnique de Paris, Jan Johannes from Heidelberg University, and Henning Stein from CREST, ENSAE, Institut Polytechnique de Paris and Heidelberg University present a new analysis of locally-gentle state certification, investigating the limits of non-destructive measurements. Their work establishes a fundamental trade-off between information gain and state disturbance, deriving the minimax sample complexity required to distinguish between a quantum state and a distant alternative under constraints that limit state perturbation. Significantly, they demonstrate that the penalty for employing gentle measurements scales favourably with Hilbert-space dimension, offering a pathway towards efficient high-dimensional quantum estimation and revealing connections to privacy mechanisms in learning. Minimax sample complexity for locally-gentle quantum state certification Scientists have established a fundamental limit for quantum state certification when measurements must not disturb the quantum state being observed. This work addresses a critical challenge in quantum information processing: extracting information without destroying the delicate quantum properties of a system. Researchers have derived the minimax sample complexity, quantifying the trade-off between information gained and disturbance caused by gentle measurements. Specifically, the study demonstrates that a total of n = Θ( d3 ε2α2 ) samples are required for accurate state certification, where ‘d’ represents the Hilbert-space dimension, ‘ε’ denotes the error tolerance, and ‘α’ is the gentleness parameter. The research centres on locally-gentle state certification, a process where algorithms are constrained to perturb the quantum state by at most a t
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quantum-computingScientists Report Deterministic Entanglement-Assisted Quantum Communication Over 20-km Fiber Channel
Insider Brief Researchers experimentally demonstrated deterministic entanglement-assisted quantum communication over 20.121 km of optical fiber, extending dense coding from laboratory-scale tests to metropolitan-scale distances. The work uses an improved continuous-variable quantum dense coding scheme that independently transmits entangled states and local oscillator beams to reduce fiber noise and prevent decoding with classical coherent states alone. Measurements show higher signal-to-noise ratios and increased channel capacity than classical communication across long fiber links, particularly at larger average photon numbers. Schematic of the experimental setup for continuous-variable entanglement-assisted quantum comumication. (Xiaolong Su et al.) PRESS RELEASE — Entanglement-assisted quantum communication has substantial advantages in surpassing the power of classical communication by utilizing the entangled state. As a typical entanglement-assisted quantum communication encoding scheme, quantum dense coding enables two communication parties to enhance the channel capacity with the shared quantum entanglement. In continuous-variable quantum dense coding, the classical signals are encoded on both amplitude and phase quadratures of one entangled beam. Owing to the deterministic advantage in the generation and detection of continuous-variable entangled states, the combination of continuous-variable quantum dense coding enables the implementation of deterministic entanglement-assisted quantum communication. Since the first experimental demonstration of quantum dense coding with entangled photon pairs, it has been experimentally demonstrated in several physical systems, including optical system, nuclear magnetic resonance system, and atomic system. However, most demonstrations of entanglement-assisted quantum communication with dense coding still remain in proof-of-principle experiments. The implementation of quantum dense coding in practical fiber channels is of gr
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quantum-computingInternational Conference on Quantum Communication and Security
International Conference on Quantum Communication and Security Acronym: ICQCSDates: Monday, March 16, 2026 to Friday, March 20, 2026Web page: https://icqcs.sciencesconf.org/Registration deadline: Sunday, March 1, 2026Submission deadline: Sunday, March 1, 2026Tags: quantum cryptographyQKDquantum networkspost-quantum cryptographyICQCS 2026 is a five-day conference organized by MSCA QSI and DIM QuanTiP dedicated to quantum-safe communications, explicitly bringing together communities that are too often split across venues: 🔹 Post-quantum cryptography (PQC) 🔹 QKD theory & protocols 🔹 Experimental QKD + network integration …plus beyond-QKD quantum cryptography and quantum networks, with a program mixing keynote-tutorials, invited talks, posters, and an industry session. 📍 Paris (Campus des Cordeliers) 📅 March 16–20, 2026 📝 Free participation (registration mandatory) 🖼️ Posters: everyone is welcome to present! 🎙️ Speakers listed on the conference website include Rotem Arnon, Hugues de Riedmatten, Martin Albrecht, Giulio Malavolta, Boris Korzh, Qiang Zhang, and others. If you’re working anywhere near PQC, QKD, quantum networks, or quantum security, ICQCS is a unique chance to learn directly from leading researchers across these closely connected areas—and to connect with people bridging theory, protocols, and real-world implementations! Log in or register to post comments
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quantum-computingInternational Conference on Quantum Communication and Security ICQCS 2026
International Conference on Quantum Communication and Security ICQCS 2026 Acronym: ICQCSDates: Monday, March 16, 2026 to Friday, March 20, 2026Web page: https://icqcs.sciencesconf.org/Registration deadline: Sunday, March 1, 2026Submission deadline: Sunday, March 1, 2026Tags: quantum cryptographyQKDquantum networkspost-quantum cryptographyICQCS 2026 is a five-day conference organized by MSCA QSI and DIM QuanTiP dedicated to quantum-safe communications, explicitly bringing together communities that are too often split across venues: 🔹 Post-quantum cryptography (PQC) 🔹 QKD theory & protocols 🔹 Experimental QKD + network integration …plus beyond-QKD quantum cryptography and quantum networks, with a program mixing keynote-tutorials, invited talks, posters, and an industry session. 📍 Paris (Campus des Cordeliers) 📅 March 16–20, 2026 📝 Free participation (registration mandatory) 🖼️ Posters: everyone is welcome to present! 🎙️ Speakers listed on the conference website include Rotem Arnon, Hugues de Riedmatten, Martin Albrecht, Giulio Malavolta, Boris Korzh, Qiang Zhang, and others. If you’re working anywhere near PQC, QKD, quantum networks, or quantum security, ICQCS is a unique chance to learn directly from leading researchers across these closely connected areas—and to connect with people bridging theory, protocols, and real-world implementations! Log in or register to post comments
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