Our webinars

“When the technology is still immature, we shouldn't ask how to adopt the technology. Rather, we should participate in its development.” - Thiparat Chotibut, QTFT cofounder

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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 [...]

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 [...]

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 [...]

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 20-30mins, 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. [...]

Quantum Convolutional Neural Network

Convolutional neural networks (CNNs) have recently proven successful for many complex applications ranging from image recognition to precision medicine. Motivated by recent advances in realizing quantum information processors, I introduce and analyze a quantum circuit-based algorithm inspired by CNNs. Our quantum convolutional neural network (QCNN) uses only O(log(N)) variational parameters for input sizes of N qubits, allowing for its efficient training and implementation on realistic, near-term quantum devices. To explicitly […]

Towards Quantum Supremacy in Near-Term Quantum Computers

Are there computational tasks in which quantum computers can achieve beyond what any classical algorithm can do, even those yet undiscovered? The experimental race for these tasks, know as quantum supremacy, in near-term quantum devices continues to this day. These theoretical proofs of quantum supremacy all rule out classical simulations of certain quantum system by arguing that if such simulations are possible, then there will be a devastating consequence, “collapse […]

Integrability in Classical Mechanics

It is well-known that integrable systems are exceptionally rare since most (nonlinear) differential equations exhibit chaotic behaviour and no explicit solutions can be obtained. Informally, integrability is the property of a system that allows the solution to be solved in finite steps of operations (or integrations). In more simply speaking, integrability enables us to solve the set of equations in a closed form or in terms of quadratures (ordinary integrals). [...]

Quantum Computing with Atomic Qubits: Advantages and Challenges

Atomic qubit have been one of the main candidates for future quantum computer. 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 QTFT webinar, we will have three atomic-qubit experts joining us: Polnop Samutpraphoot, a graduate student working with cold atoms and nanophotonics [...]

Blackholes and Gravitational Waves

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 [...]

Laws, Artificial Intelligence & Quantum Computing

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 [...]

Quantum Sensors with Diamonds: Utilizing the Flaws of Nature

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 [...]

Let’s Talk Cryptography

“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 [...]

Modern Applications of Path Integration in Machine Learning and Quantum Control

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.   Feynman’s Path Integral (PI) is the celebrated mathematical reformulation of operator Quantum Mechanics. Such reformulation offers both an [...]

Quantum Computing in a Nutshell

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 [...]

An Introduction to Machine Learning

“When you’re fundraising, it’s AI. When you’re hiring, it’s ML. When you’re implementing, it’s logistic regression.”—everyone on Twitter ever. What does Machine Learning (ML) actually mean? The layman explanation is that ML is a field that equips computers with the capability to “learn” from data without being programmed explicitly, though, to be clear, teaching computers to “learn” still requires a bit of programming. Generally speaking, ML aims to create a [...]