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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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 [...]

Blackhole and Gravitational Wave

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 [...]

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 [...]