CBSE Class 10 Artificial Intelligence Syllabus 2024-25: FREE PDF Download
UCL Computer Science To Explore Natural Language Processing On Quantum Computers For Content Discovery And Archive Retrieval
A new consortium funded by the Royal Academy of Engineering will build on work in quantum mechanics and linguistics conducted over 15 years by researchers at University College London and Quantinuum
CAMBRIDGE, England, Nov. 28, 2022 /PRNewswire/ -- Quantinuum, the world's leading integrated quantum computing company, has joined a consortium with University College London (UCL) and the British Broadcasting Corporation (BBC) to explore the industrial relevance of quantum natural language processing (QNLP) and quantum-inspired natural language processing.
The consortium, funded by the Royal Academy of Engineering for a Senior Research Fellowship at UCL, will build on a long-term exploration of quantum mechanics and linguistics by Quantinuum's chief scientist Professor Bob Coecke, head of artificial intelligence Professor Stephen Clark, and Professor Mehrnoosh Sadrzadeh of UCL Computer Science.
The BBC hopes to find new ways to represent content in forms readable by computers, to support tasks such as content discovery and archival retrieval. This builds on the Corporation's previous work with Sadrzadeh on Enhancing Personalised Recommendations with the use of Multi Modal Information.
Ilyas Khan, founder of Cambridge Quantum Computing and CEO of Quantinuum said: "Developing quantum computing so that the broadest and most diverse populations can benefit, means looking across the timing spectrum at applications that can be made productive in the short, medium and long term. As part of our long-term work, we anticipate that true language processing will become important with fault tolerant quantum processors, and our work with the BBC and UCL is a very significant step towards being prepared to take advantage of quantum computers when they become available at scale. Quantinuum is a leader in the fields in which it operates, and this leadership is built on deeply meaningful collaborations such as this."
In their 15-year collaboration, the researchers established a unified model of statistical and compositional meaning for natural language, in the seminal 2011 paper Mathematical Foundations of a Compositional Distributional Model of Meaning. The foundational work was guided by Professor Coecke's categorical quantum mechanics formalism. Experimental evidence followed suite by Professor Sadrzadeh's work on Concrete Models and Experimental Evaluations for the Categorical Compositional Distributional Model of Meaning. The advance of these techniques beyond academic research, to a scaled industrial level, will take capabilities from mere sentence level to general text, using methods which were initiated in the papers The Mathematics of Text Structure and Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings.
The broadcaster's archives reflect a century of global news and cultural life across the UK and beyond. It is one of the largest broadcast archives in the world, with over 15 million items, including audio, film, and text documents, as well as toys, games, merchandise, artefacts, and historic equipment.
About Quantinuum
Quantinuum is the world's largest integrated quantum computing company, formed by the combination of Honeywell Quantum Solutions' world leading hardware and Cambridge Quantum's class leading middleware and applications. Science led and enterprise driven, Quantinuum accelerates quantum computing and the development of applications across chemistry, cybersecurity, finance, and optimization. Its focus is to create scalable and commercial quantum solutions to solve the world's most pressing problems, in fields such as energy, logistics, climate change, and health. The company employs over 480 people including 350 scientists, at nine sites in the US, Europe, and Japan.
www.Quantinuum.Com
View original content:https://www.Prnewswire.Co.Uk/news-releases/ucl-computer-science-to-explore-natural-language-processing-on-quantum-computers-for-content-discovery-and-archive-retrieval-301688095.Html
Year 2 Projects
Quantum-Natural Language Processing (NLP) and Machine Learning (ML)Motivation: Our goal is to establish a local infrastructure and a group of colleagues and graduate students focusing on research in the Quantum-NLP and ML domain. We aim at preparing and running experiments testing quantum approaches to NLP at two levels: a.) algorithms and methods that improve current shortcomings of purely neural methods at the level of semantics and common-sense reasoning of NLP, and b.) identify ways to improve the training and testing cycles of ML in optimization-based learning. At the qualitative level, current NLP methods fail to provide. At the ML and technical level, neural approaches on classical hardware are too costly and time-consuming. Quantum solutions have the potential to improve the situation significantly.
PIs: Prof. Damir Cavar (Indiana University) and Prof. Larry Moss (Indiana University)
Benchmarking Hybrid Quantum ComputingMotivation: It is clear that to be useful for real-world sized problems that quantum computing needs to become much more "hybrid", involving closer coupling of classical and quantum computation. To do this requires understanding what is the nature of the cross-system information/command flow, what are the metrics that one ought to use to measure such, how have current hybrid codes performed against such metrics, and what computational models and language features ought to look like that would most optimize such codes. As with the first year, the goal is to be problem solution focused and both technology and algorithm agnostic.
PIs: Prof. Peter Kogge (University of Notre Dame) and Prof. Amr Sabry (Indiana University)
Topological insulator quantum dots for long-wavelength quantum technologiesMotivation: Epitaxial III-V quantum dots provide the ability to generate single photons at telecom wavelengths enabling quantum-encrypted communication with lower hardware overhead compared to parametric down conversion. III-V dots are however limited in terms of frequency band. We are motivated to develop material platforms where emission of single photons in the far-infrared (FIR) to mid-infrared (MIR) can be achieved. This ability enables transformative quantum technologies for communications beyond 1.55μm and for chemical sensing with high-sensitivity. Topological insulators (TI) that have an inverted bulk energy gap and gapless surface modes can enable this.
PI: Prof. Badih Assaf (University of Notre Dame)
Entangled organic molecules for quantum lightMotivation: To use lifetime-limited organic molecules to generate many-body entangled states of light, and to characterize the multi-photon and multi-mode quantum light for usefulness in quantum sensing, computation, and communication.
PI: Prof. Jonathan Hood (Purdue University)
Prototypical quantum processors based on electron-on-solid-neon (eNe) qubitsMotivation: We recently realized a new solid-state qubit platform by trapping single electrons on an ultrapure solid neon surface in a vacuum and manipulating the electron's charge (motional) states by microwave photons in an on-chip superconducting resonator [X. Zhou … D. Jin, Nature 605, 46–50 (2022); Nature Physics 20, 116–122 (2024)]. The measured relaxation and coherence times of the electron-on-solid-neon (eNe) qubits have reached 0.1ms, and the single-qubit gate fidelity has reached 99.97%, outperforming all the traditional semiconductor and superconductor charge qubits and rivaling state-of-the-art transmon and fluxonium qubits. In our latest experiments, we have also enhanced the electron-photon coupling strength from ~3MHz to ~30MHz that promises the realization of high-fidelity two-qubit gates soon. With the CQT funding opportunity, especially the related industry and government interest, we want to seek expedited and unique routes to scale up this qubit platform by demonstrating prototypical quantum processors, before the single-qubit performance has been fully optimized or a high-fidelity two-qubit gate has been achieved.
PIs: Prof. Dafei Jin (University of Notre Dame) and Prof. Tongcang Li (Purdue University)
Decomposition-based approaches to enable practical quantum computing for optimizationMotivation: Optimization applications appear in various fields of science and engineering. Addressing these problems efficiently has motivated the development of advanced algorithms and hardware, some leveraging quantum phenomena. Combinatorial problems can require worst-case exponentially growing resources, but practical applications abound, and efficient methods to tackle them are actively sought. We aim to apply advanced algorithmic approaches based on decomposition methods to efficiently use quantum computers in solving practical optimization problems.
PIs: Alex Pothen (Purdue University), Arnab Banerjee (Purdue University), and David Bernal (Purdue University)
Quantum-Enabled Software Exploit Synthesis to Detect Object Injection VulnerabilitiesMotivation: Modern programs often use object-oriented design, where the basic system components are objects and classes. Objects in a program can be hijacked by a hacker to conduct object injection attacks. The hijacking occurs when benign features handling external objects (e.G., from a socket) are misused. When the program invokes one of the hijacked object's methods, it leads to a sequence of method calls that results in a malicious behavior. Log4Shell is an example of a severe object injection vulnerability that compromised the security of millions of software systems. Object injection vulnerabilities are difficult to detect because they exhibit control and data flows similar to those of benign code execution. Although fuzzing was used to detect object injection attacks, its long execution time and time budget limits mean it misses latent vulnerabilities. Existing static analyzers cannot identify object hijacking scenarios because the objects can be instances of classes that are unused, but loadable at runtime, i.E., not observable at static (compile) time by the analyzer. We propose to detect object injection vulnerabilities by synthesizing and injecting malicious objects (exploits) to verify whether it triggers harmful behavior in the program.
PI: Prof. Joanna Cecilia da Silva Santos (University of Notre Dame)
Quantum Computing's ChatGPT Moment: Will Singularity Arrive In 2025?
Could quantum computing trigger the singularity by 2025? This article explores the latest advancements, challenges, and ethical implications of this revolutionary technology.The world watched in awe as ChatGPT seemingly appeared out of nowhere in late 2022, revolutionizing how we interact with AI. Now, whispers in the tech world suggest that quantum computing, a field long shrouded in mystery and complexity, might be on the cusp of its own "ChatGPT moment" – and it could happen as early as 2025. This potential breakthrough has ignited fervent discussions about the dawn of the singularity, a hypothetical point where artificial intelligence surpasses human intelligence, leading to unpredictable technological growth.
The Quantum Leap: Understanding the HypeQuantum computing harnesses the mind-bending principles of quantum mechanics to solve problems that are impossible for even the most powerful supercomputers. Unlike classical computers that rely on bits to represent information as 0s or 1s, quantum computers use qubits. Qubits can exist in a superposition, simultaneously representing both 0 and 1, allowing quantum computers to perform calculations at an exponentially faster rate.
This incredible processing power has the potential to revolutionize fields like medicine, materials science, artificial intelligence, and cryptography. Imagine developing new drugs and therapies in a fraction of the time, creating revolutionary materials with unprecedented properties, or designing AI systems with cognitive abilities far exceeding our own.
Why 2025? The Convergence of FactorsWhile the idea of achieving singularity in 2025 might seem like science fiction, several factors contribute to this growing belief:
Just as ChatGPT's development was fueled by advancements in deep learning and natural language processing, the current progress in quantum computing is setting the stage for a potential breakthrough. Some experts believe that the convergence of these factors could lead to the development of a quantum computer capable of achieving singularity within the next few years.
The Singularity: A Double-Edged SwordThe concept of singularity, popularized by futurist Ray Kurzweil, evokes both excitement and apprehension. While it holds the promise of solving some of humanity's most pressing challenges, it also raises concerns about the potential dangers of uncontrolled AI.
Imagine a world where AI can design and build even more intelligent AI, leading to an intelligence explosion that surpasses human comprehension. This could lead to unprecedented technological advancements, solving problems like climate change, poverty, and disease. However, it could also lead to unforeseen consequences, such as job displacement, economic disruption, and even existential threats.
Navigating the Unknown: Ethical ConsiderationsAs we stand on the brink of this potential technological revolution, it's crucial to address the ethical implications of quantum computing and the singularity. How do we ensure that these powerful technologies are used for good? How do we prevent them from falling into the wrong hands? And how do we prepare for a future where machines might surpass us in intelligence?
These are complex questions with no easy answers. It's essential to foster open dialogue between scientists, policymakers, and the public to ensure that the development and deployment of quantum computing are guided by ethical principles and a commitment to the betterment of humanity.
My Perspective: A Sense of Wonder and CautionAs someone who has closely followed the development of quantum computing for years, I am both fascinated and humbled by its potential. I believe that this technology has the power to transform our world in profound ways, offering solutions to challenges that seem insurmountable today.
However, I also recognize the importance of proceeding with caution and foresight. We must ensure that the pursuit of technological advancement is balanced with a deep consideration for its ethical and potential risks.
Beyond the Hype: The Road AheadWhile the prospect of achieving singularity in 2025 is exciting, it's important to remember that quantum computing is still in its early stages. Many challenges remain, including:
Despite these challenges, the rapid pace of innovation in the field suggests that we are on the cusp of a quantum revolution. Whether singularity arrives in 2025 or later, the impact of quantum computing on our world is undeniable.
The potential of quantum computing to achieve singularity in 2025 is a captivating prospect, filled with both promise and uncertainty. As we venture into this uncharted territory, it's crucial to approach this technology with a sense of wonder, responsibility, and a commitment to ethical development.
By fostering collaboration, investing in research, and addressing the ethical implications, we can ensure that quantum computing serves as a force for good, unlocking a future of unprecedented possibilities for humanity.
Source.
Comments
Post a Comment