Natural Language Processing and Its Relation to Quantum Computer
Prachya Boonkwan received B.Eng. and M.Eng. degrees in Computer Engineering from Kasetsart University in 2002 and 2005, respectively. He received a Ph.D. degree in Informatics from the University of Edinburgh, UK, in 2014. Since 2005, he has been with Language and Semantic Technology Lab at NECTEC, Thailand. His topics of interest include: grammar induction, statistical parsing, statistical machine translation, natural language processing, machine learning, and formal syntax.
Quantum Simulations with Trapped Ions
Trapped ions are very suitable candidates for realizing quantum simulators because they provide us with excellent control over all quantum degrees of freedom: we can repeatedly and reliably prepare a quantum state, control its dynamic evolution, generate entangled states and carry out quantum measurements with high efficiency. In our experiment, we encode spin-1/2 particles into the electronic states of a string of trapped calcium ions. Laser beams are used to generate variable-range effective spin-spin interactions and a tightly focused laser beam allows for high-fidelity single-spin control. In the first part of my presentation I will introduce the experimental setup and its capabilities, and explain how we engineer tunable-range spin-spin interactions. The second part focuses on properties of the realized interaction dynamics [1, 2], and presents a study of quantum transport under the influence of disorder and dephasing . Finally, I discuss how we can apply our tunable-range interaction and single-qubit control to perform variational quantum simulation of lattice models with up to 20 sites .  N. Friis, O. Marty, et al., PRX 8, 021012 (2018)  T. Brydges, A. Elben et al., Science 364, 260 (2019)  C. Maier et al., Phys. Rev. Lett. 122, 050501 (2019)  C. Kokail, C. Maier, R. van Bijnen et al., Nature 569, 355 (2019)
A Guide to Quantum Hackathon Thailand
Quantum computing is making its way to Thailand. To get ready, join us in the first quantum hackathon in Thailand hosted by Kasikorn Business-Technology Group (KBTG) together with Quantum Technology Foundation (Thailand) (QTFT), and IBM. The date of the event will be announced soon. This webinar serves as an introduction to the event as well as live Q&A with experts from finance and quantum computing industries. In this webinar, you will hear about - The latest development in quantum computing at IBM by Dr. Nicholas T Bronn, a senior researcher at IBM TJ Watson Research Center; - Quantum community and use cases in Thailand by Dr. Jirawat Tangpanitanon, QTFT cofounder and a research fellow at Centre for Quantum Technologies (CQT), Singapore; and - Quantum computing for the finance sector in Thailand by Yarnvith Raksri, Principal Visionary Architech at KBTG.
Identifying the Sources of High PM2.5 in Bangkok: A Machine Learning Approach
High PM2.5 in Bangkok during winter has recently caught public attention. Yet, the Thai government’s response seems slow and fails to provide any long-term solution. Moreover, back in 2019, government officials still disagree on what are the major sources of the air pollution in Bangkok. There are four possible sources of PM2.5: the temperature inversion effect, industrial activities, traffic, and agricultural burning. Identifying the major sources of the air pollution is key for finding the solutions. However, modeling PM2.5 levels is a multi-variable problem with a time lag, and finding an analytical solution is almost impossible, given limited historical data. In this talk, I will talk about my machine learning approach to this problem. I will go through the data-science steps, which are gathering data, exploratory data analysis, imputation, feature engineering, and modeling. I hope this talk could be useful for any aspiring data scientists, and all suggestions are welcome!
Hands-on Webinar for Quantum Computing Programming Beginners
Let's start quantum computer programming with Blueqat! We know mastering quantum computer programming is very difficult. But, using Blueqat, a quantum computing SDK, you can learn quantum computer programming very easily. This webinar is for beginners of quantum computer programming. For the first 20–30 mins, we will talk about the basic concepts of quantum computers and Blueqat. After the explanation, we will actually use Blueqat to write a quantum computer program. To help make the webinar go as smooth as possible please prepare the Blueqat environment on your computer beforehand. Blueqat is a programming library using python, so you will need a Python programming environment. In the Python programming environment, you can install Blueqat with: >>> pip install Blueqat Please see the following URL if you have and problems installing Blueqat. Blueqat (github): https://github.com/Blueqat/Blueqat
Laws, Artificial Intelligence & Quantum Computing
No prior knowledge is required. # Speakers Peerapat Chokesuwattanaskul, PhD Chulalongkorn University, Thailand Theeraphot Sriarunothai, PhD University of Siegen, Germany # Abstract In the first part, the talk will cover the bi-directional relationship between artificial intelligence and law. From the legal point of view, artificial intelligence will influence the nature and dynamic of societal structure and interaction, hence the law. Some laws will become obsolete or virtually useless. For example, most traffic laws will become totally unnecessary if the self-driving vehicles eventually become the new normal. On the contrary, existing laws will need to be revised and new laws will need to be legislated to deal with unprecedented problems. For example, considering again the self-driving vehicles, we might need to reconsider the liability and insurance system when it comes to accidental cases, let alone the ethical issues like the trolley problem. Also, an increasing influence of on human decision-making has caused a greater tension between free-will and deterministic natures of human decision. One obvious example is the Cambridge Analytica scandal in the previous US election. On the other hand, from the AI point of view, especially Machine Learning, AI can potentially change how the legal “ecosystem” works. It has increasingly been adopted by firms to analyse legal documents in various ways. Mainly, AI has been widely used to accommodate the due diligence and compliance and the case strategy and planning. We will explore how AI could be used to stimulate the accessibility to legal services of wider public and potentially help judges and officers tackle inconsistencies and biasedness in the judicial process. Certainly, some contingencies will need to be discussed such as the bias of AI. In the second part, we will explore quantum computers and how they may affect Laws. Quantum computers have great potentials to leap forward AI by their computing power and memory. These capacities will not be achievable by any classical supercomputer. We have been discussing a lot about we can do many things when we have a quantum computer. However, do we actually have a quantum computer yet? The essential criteria to build quantum computers will be discussed in this talk. Then, we will give some examples of physical quantum bits. We will further discuss two promising platforms to be a large-scale quantum computer. Lastly, we will see the current perspectives of a large-scale quantum computer.
Let's Talk Cryptography
No prior knowledge is required. # Speakers - Poompong Chaiwongkhot, Institute for Quantum Computing, Canada - Rachata Tosirisuk, CAT Telecom PCL, Thailand - Auttapon Chutiphornphanith Finema Ltd, Thailand # Abstract “It is a hard truth that cryptography is usually appeared in the news and become the topic of discussion only when it is broken and causes some damage to the economy or information privacy. We rarely look at cryptography on its function and limitation.” —Anonymous Welcome to the first chapter of our webinar series on Quantum Cryptography. For the first step in our journey, we will set the ‘Quantum’ part aside and go back in time to see the evolution of encryption up to the point we are on today. Using examples from the past, we will see from the cryptographer’s perspective on how different encryption methods were developed, under which requirements and assumptions would they be secure, and how to break them. From there, we will discuss the fundamental structure of modern cryptography we are using these days. Lastly, we will take a quick look at the modern communication landscape, and see which part cryptography could help provide security, and where it cannot. We will also discuss the role of us, users, on the [in]security of our information, and how to improve it.
Quantum Computing in a Nutshell
# Speakers Jirawat Tangpanitanon Centre for Quantum Technologies, National University of Singapore, Singapore. Areeya Chantrasri, PhD Center for Quantum Dynamics, Australia Thiparat Chotibut, PhD Singapore University of Technology and Design, Singapore # Abstract Quantum computing was ranked as one of the top 10 breakthrough technologies in 2017 by MIT Technology Review, and Morgan Stanley has predicted it could help double the value of the high-end computing market to reach $10 billion in the next decade. While a fully-fledged quantum computer is yet to come, development over the past five years has been fast. The promise of such machines to massively outperform classical computers at some tasks makes quantum computing a potentially disruptive technology. In this webinar, we will briefly introduce the topic of quantum computing, starting with a clear explanation of the most fundamental computing unit “Qubit,” and the advantage of this new computing paradigm over classical computer, via various quantum algorithms. We then demonstrate current quantum hardware technology and its possible applications in medical science, bioengineering, machine learning, and big data. We conclude our webinar by discussing how Thailand could take roles in this rapidly emerging technology.
Quantum Computing with Atomic Qubits: Advantages and Challenges
This talk is open to public. The level of undergraduate physics, though not required, is recommended. # Speakers - Polnop Samutpraphoot, Harvard University, US - Theeraphot Sriarunothai, University of Siegen - Kritsana Srakaew, Chiang Mai University # Abstract Atomic qubits have been one of the main candidates for future quantum computers. But how far is it from a perfect quantum computing platform? What are the advantages or the challenges for using natural atoms and ions? And what about the comparison to other possible platforms? In this month's QTFT webinar, we will have three atomic-qubit experts joining us: Polnop Samutpraphoot, a graduate student working with cold atoms and nanophotonics at Harvard University; Theeraphot Sriarunothai, a research scientist working with trapped ions at University of Siegen, Germany; and Kritsana Srakaew, a research student working with cold atoms at Max-Planck Institute in Germany. In this one-hour panel discussion, we will have them guiding us, from basics of atomic qubits to a big picture of what this field of research is like, based on their expertises. We will also provide time for questions from the audience.
Blackholes and Gravitational Waves
# Speaker Petchara Pattarakijwanich, PhD Lecturer, Mahidol University # Abstract Over the past few years, there has been several breakthroughs in astrophysics related to black holes, namely the first detection of gravitational wave which led to the Nobel prize in physics in 2017, and the first direct image of the supermassive black hole in the center of the galaxy M87, announced just ast week. In this talk, I will attempt to explain these milestone discoveries in layman's terms, covering the basic theoretical ideas dating back to Einstein, the detection methods, and the technological and engineering advances that enabled the realizations of these old ideas.
Quantum Sensors with Diamonds: Utilizing the Flaws of Nature
No prior knowledge is required. # Speaker Sorawis Sangtawesin, PhD Princeton University, US # Abstract This is an introduction on using quantum systems as sensors. These sensors can utilize quantum mechanical properties to enhance their performance for detecting classical, real world signals. Moreover, they allow access to an unprecedented regime where a single molecule or even a single electron can be detected, and their nanoscale dynamics can be observed. The talk will begin with a discussion of general sensing applications and a brief overview of how quantum mechanics can be utilized for sensing. Then, we will look at a few examples of quantum sensor platforms before focusing on the topic of using defects in diamond as a quantum system and quantum sensor. # About the Speaker Sorawis Sangtawesin received his Ph.D. working with Prof. Jason Petta at Princeton University Department of Physics, where his research focused on using the nitrogen-vacancy (NV) defect centers as a building block for quantum computing. He is currently a postdoctoral research associate in Prof. Nathalie de Leon’s lab at Princeton University Department of Electrical Engineering, where he is working on using surface science methods to improve the coherence time of shallow NV centers for quantum sensing applications.
Modern Applications of Path Integration in Machine Learning and Quantum Control
In this specialized seminar, introductory talks will be given by the speakers, followed by an open discussion. The discussion will range from the basic ideas to advanced concepts related to the topics, fostering research collaboration among QTFT members. # Prerequisite A solid background in undergraduate physics. # Speakers Thiparat Chotibut, PhD Singapore University of Technology and Design Areeya Chantasri, PhD Centre for Quantum Dynamics, Australia # Abstract Feynman’s Path Integral (PI) is the celebrated mathematical reformulation of operator Quantum Mechanics. Such reformulation offers both an intuitive classical interpretation of Quantum Mechanics, and a powerful computational approach to investigate Quantum fluctuations. However, less is known about its stochastic counterparts, whose PI representations enable alternative routes to investigate stochastic phenomena. In this special QTFT seminar, we will begin by reviewing the less familiar PI representations of stochastic processes, such as the Doi-Peliti PI and the Onsager-Machlup PI, and draw connections to standard Quantum Physics. We will then discuss how these alternative views of stochastic processes may offer new tools to tackle modern Machine Learning/Theoretical Neuroscience problems, as well as Quantum control problems. In particular, through stochastic PI, we will first discuss why the spike-timing statistics in experimental neural spike-train data are typically and successfully described by an effective Poisson-like neuron model, despite the sophisticated underlying neural network architecture. The connection between our biologically plausible model of spiking neural networks and the well-known Hopfield neural network originated from statistical physics community will also be discussed. In addition, turning back to quantum problems, we will discuss how the stochastic PI can be applied to quantum systems, but now including fluctuation from measurements and decoherence. The PI provides us a convenient way to derive optimal paths for qubit evolution, which could be useful for problems in quantum control.