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Quantum AI is the use of quantum computing for computation of machine learning algorithms. Thanks to computational advantages of quantum computing, quantum AI can help achieve results that are not possible to achieve with classical computers.

Quantum data: Quantum data can be considered as data packets contained in qubits for computerization. However, observing and storing quantum data is challenging because of the features that make it valuable which are superposition and entanglement. In addition, quantum data is noisy, it is necessary to apply a machine learning in the stage of analyzing and interpreting these data correctly.

Quantum algorithms: An algorithm is a sequence of steps that leads to the solution of a problem. In order to execute these steps on a device, one must use specific instruction sets that the device is designed to do so.

Quantum computing introduces different instruction sets that are based on a completely different idea of execution when compared with classical computing. The aim of quantum algorithms is to use quantum effects like superposition and entanglement to get the solution faster.

The lab will work in areas such as quantum computing, explainable artificial intelligence (AI) that presents data in a manner that can be understood by humans, and Metaverse, a virtual world where people can connect through their digital avatars.

Tech Mahindra already has 10 Makers Lab across the world and the new unit at Mahindra University will be the 11th facility globally and second in Hyderabad, said the company.

“With the launch of Makers Lab, we will provide many talented and skilled individuals, with the opportunity to progress for a greater cause,” said CP Gurnani, MD & CEO, Tech Mahindra.

IT major Tech Mahindra (TechM) and Mahindra University have signed a memorandum of understanding (MoU) to set up a new ‘Makers Lab’ for research and development. The lab will work in areas such as quantum computing, explainable artificial intelligence (AI) that presents data in a manner that can be understood by humans, and Metaverse, a virtual world where people can connect through their digital avatars.

Tech Mahindra already has 10 Makers Lab across the world and the new unit at Mahindra University will be the 11th facility globally and second in Hyderabad, said the company.

“With the launch of Makers Lab, we will provide many talented and skilled individuals, with the opportunity to progress for a greater cause,” said CP Gurnani, MD & CEO, Tech Mahindra.

I promise you: this post is going to tell a scientifically coherent story that involves all five topics listed in the title. Not one can be omitted.

My story starts with a Zoom talk that the one and only Lenny Susskind delivered for the Simons Institute for Theory of Computing back in May. There followed a panel discussion involving Lenny, Edward Witten, Geoffrey Penington, Umesh Vazirani, and your humble shtetlmaster.

Lenny’s talk led up to a gedankenexperiment involving an observer, Alice, who bravely jumps into a specially-prepared black hole, in order to see the answer to a certain computational problem in her final seconds before being ripped to shreds near the singularity. Drawing on earlier work by Bouland, Fefferman, and Vazirani, Lenny speculated that the computational problem could be exponentially hard even for a (standard) quantum computer. Despite this, Lenny repeatedly insisted—indeed, he asked me again to stress here—that he was not claiming to violate the Quantum Extended Church-Turing Thesis (QECTT), the statement th at all of nature can be efficiently simulated by a standard quantum computer. Instead, he was simply investigating how the QECTT needs to be formulated in order to be a true statement.

The ubiquity of electronic devices makes it essential to use encryption and anti-counterfeiting tools to protect the privacy and security of users. With the growing expansion of the Internet of Things, protection against attacks that violate the authenticity of products is increasingly necessary. Traditionally, message protection has been based on different systems: passwords, digital signatures or encryption. This cryptography is based on unknown keys to a possible attacker, but unfortunately these systems are becoming obsolete as new more invasive attacks appear: malware, API attacks or physical hardware attacks.

While quantum computing slowly progresses towards the cryptographic paradigm, the so-called physically unclonable functions (PUFs) are presented as the choice to ensure unique and effective identification. A PUF is a device that has unique and non-repeatable physical properties that can be translated into usable bits of information. The idea of applying random to identify systems or people is not new: for example, the identification of individuals using the fingerprint dates from the 19th century. More recently, the identity of electronic devices has been established using PUFs, which are “electronic fingerprints” of an integrated circuit.

Authentication based on PUFs comprises a chip manufactured by intrinsically random processes that make cloning almost impossible, even though all the details of the manufacturing process are known. The measurements of the various physical properties of the PUF depend on the properties of the chip at the nanoscale, thus constitute a very powerful anti-fraud and anti-counterfeiting technology. To be implementable at an industrial level, this chip must be low cost, scalable and its properties must be easily measurable by means of an identifiable function.

What would happen if you fell into a black hole? Join James Beacham, particle physicist at the Large Hadron Collider at CERN, as he explores what happens when the fabric of reality – physical or societal – gets twisted beyond recognition.

Watch the Q&A with James here: https://youtu.be/Q37oEB4bNSI
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James Beacham searches for answers to the biggest open questions of physics using the largest experiment ever, the Large Hadron Collider at CERN. He hunts for dark matter, gravitons, quantum black holes, and dark photons as a member of the ATLAS collaboration, one of the teams that discovered the Higgs boson in 2012.

In addition to his research, he is a frequent keynote speaker about science, innovation, the future of technology, and art at events and venues around the world, including the American Museum of Natural History, the Royal Institution, SXSW, and the BBC, as well as private events for companies and corporations, including KPMG, Bain, Dept Agency, and many others.

Check out the math & physics courses that I mentioned (many of which are free!) and support this channel by going to https://brilliant.org/Sabine/ where you can create your Brilliant account. The first 200 will get 20% off the annual premium subscription.

This is a video I have promised you almost two years ago: How does superdeterminism make sense of quantum mechanics? It’s taken me a long time to finish this because I have tried to understand why people dislike the idea that everything is predetermined so much. I hope that in this video I have addressed the biggest misconceptions. I genuinely think that discarding superdeterminism unthinkingly is the major reason that research in the foundations of physics is stuck.

If you want to know more about superdeterminism, these two papers (and references therein) may give you a good starting point:

https://arxiv.org/abs/1912.06462