Archive for the ‘Quantum Computer’ Category

Cracking the Secrets of an Emerging Branch of Physics: Exotic Properties to Power Real-World Applications – SciTechDaily

In a new realm of materials, PhD student Thanh Nguyen uses neutrons to hunt for exotic properties that could power real-world applications.

Thanh Nguyen is in the habit of breaking down barriers. Take languages, for instance: Nguyen, a third-year doctoral candidate in nuclear science and engineering (NSE), wanted to connect with other people and cultures for his work and social life, he says, so he learned Vietnamese, French, German, and Russian, and is now taking an MIT course in Mandarin. But this drive to push past obstacles really comes to the fore in his research, where Nguyen is trying to crack the secrets of a new and burgeoning branch of physics.

My dissertation focuses on neutron scattering on topological semimetals, which were only experimentally discovered in 2015, he says. They have very special properties, but because they are so novel, theres a lot thats unknown, and neutrons offer a unique perspective to probe their properties at a new level of clarity.

Topological materials dont fit neatly into conventional categories of substances found in everyday life. They were first materialized in the 1980s, but only became practical in the mid-2000s with deepened understanding of topology, which concerns itself with geometric objects whose properties remain the same even when the objects undergo extreme deformation. Researchers experimentally discovered topological materials even more recently, using the tools of quantum physics.

Within this domain, topological semimetals, which share qualities of both metals and semiconductors, are of special interest to Nguyen.They offer high levels of thermal and electric conductivity, and inherent robustness, which makes them very promising for applications in microelectronics, energy conversions, and quantum computing, he says.

Intrigued by the possibilities that might emerge from such unconventional physics, Nguyen is pursuing two related but distinct areas of research: On the one hand, Im trying to identify and then synthesize new, robust topological semimetals, and on the other, I want to detect fundamental new physics with neutrons and further design new devices.

My goal is to create programmable artificial structured topological materials, which can directly be applied as a quantum computer, says Thanh Nguyen. Credit: Gretchen Ertl

Reaching these goals over the next few years might seem a tall order. But at MIT, Nguyen has seized every opportunity to master the specialized techniques required for conducting large-scale experiments with topological materials, and getting results. Guided by his advisor,Mingda Li, the Norman C Rasmussen Assistant Professor and director of theQuantum Matter Groupwithin NSE, Nguyen was able to dive into significant research even before he set foot on campus.

The summer, before I joined the group, Mingda sent me on a trip to Argonne National Laboratory for a very fun experiment that used synchrotron X-ray scattering to characterize topological materials, recalls Nguyen. Learning the techniques got me fascinated in the field, and I started to see my future.

During his first two years of graduate school, he participated in four studies, serving as a lead author in three journal papers. In one notable project,described earlier this yearinPhysical Review Letters, Nguyen and fellow Quantum Matter Group researchers demonstrated, through experiments conducted at three national laboratories, unexpected phenomena involving the way electrons move through a topological semimetal, tantalum phosphide (TaP).

These materials inherently withstand perturbations such as heat and disorders, and can conduct electricity with a level of robustness, says Nguyen. With robust properties like this, certain materials can conductivity electricity better than best metals, and in some circumstances superconductors which is an improvement over current generation materials.

This discovery opens the door to topological quantum computing. Current quantum computing systems, where the elemental units of calculation are qubits that perform superfast calculations, require superconducting materials that only function in extremely cold conditions. Fluctuations in heat can throw one of these systems out of whack.

The properties inherent to materials such as TaP could form the basis of future qubits, says Nguyen. He envisions synthesizing TaP and other topological semimetals a process involving the delicate cultivation of these crystalline structures and then characterizing their structural and excitational properties with the help of neutron and X-ray beam technology, which probe these materials at the atomic level. This would enable him to identify and deploy the right materials for specific applications.

My goal is to create programmable artificial structured topological materials, which can directly be applied as a quantum computer, says Nguyen. With infinitely better heat management, these quantum computing systems and devices could prove to be incredibly energy efficient.

Energy efficiency and its benefits have long concerned Nguyen. A native of Montreal, Quebec, with an aptitude for math and physics and a concern for climate change, he devoted his final year of high school to environmental studies. I worked on a Montreal initiative to reduce heat islands in the city by creating more urban parks, he says. Climate change mattered to me, and I wanted to make an impact.

At McGill University, he majored in physics. I became fascinated by problems in the field, but I also felt I could eventually apply what I learned to fulfill my goals of protecting the environment, he says.

In both classes and research, Nguyen immersed himself in different domains of physics. He worked for two years in a high-energy physics lab making detectors for neutrinos, part of a much larger collaboration seeking to verify the Standard Model. In the fall of his senior year at McGill, Nguyens interest gravitated toward condensed matter studies. I really enjoyed the interplay between physics and chemistry in this area, and especially liked exploring questions in superconductivity, which seemed to have many important applications, he says. That spring, seeking to add useful skills to his research repertoire, he worked at Ontarios Chalk River Laboratories, where he learned to characterize materials using neutron spectroscopes and other tools.

These academic and practical experiences served to propel Nguyen toward his current course of graduate study. Mingda Li proposed an interesting research plan, and although I didnt know much about topological materials, I knew they had recently been discovered, and I was excited to enter the field, he says.

Nguyen has mapped out the remaining years of his doctoral program, and they will prove demanding. Topological semimetals are difficult to work with, he says. We dont yet know the optimal conditions for synthesizing them, and we need to make these crystals, which are micrometers in scale, in quantities large enough to permit testing.

With the right materials in hand, he hopes to develop a qubit structure that isnt so vulnerable to perturbations, quickly advancing the field of quantum computing so that calculations that now take years might require just minutes or seconds, he says. Vastly higher computational speeds could have enormous impacts on problems like climate, or health, or finance that have important ramifications for society. If his research on topological materials benefits the planet or improves how people live, says Nguyen, I would be totally happy.

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Quantum computing now is a bit like SQL was in the late 80s: Wild and wooly and full of promise – ZDNet

Quantum computing is bright and shiny, with demonstrations by Google suggesting a kind of transcendent ability to scale beyond the heights of known problems.

But there's a real bummer in store for anyone with their head in the clouds: All that glitters is not gold, and there's a lot of hard work to be done on the way to someday computing NP-hard problems.

"ETL, if you get that wrong in this flow-based programming, if you get the data frame wrong, it's garbage in, garbage out," according to Christopher Savoie, who is the CEO and a co-founder of a three-year-old startup, Zapata Computing of Boston, Mass.

"There's this naive idea you're going to show up with this beautiful quantum computer, and just drop it in your data center, and everything is going to be solved it's not going to work that way," said Savoie, in a video interview with ZDNet. "You really have to solve these basic problems."

"There's this naive idea you're going to show up with this beautiful quantum computer, and just drop it in your data center, and everything is going to be solved it's not going to work that way," said Savoie, in a video interview with ZDNet. "You really have to solve these basic problems."

Zapata sells a programming tool for quantum computing, called Orquestra. It can let developers invent algorithms to be run on real quantum hardware, such as Honeywell's trapped-ion computer.

But most of the work of quantum today is not writing pretty algorithms, it's just making sure data is not junk.

"Ninety-five percent of the problem is data cleaning," Savoie told ZDNet. "There wasn't any great toolset out there, so that's why we created Orquestra to do this."

The company on Thursday announced it has received a Series B round of investment totaling $38 million from large investors that include Honeywell's venture capital outfit and returning Series A investors Comcast Ventures, Pitango, and Prelude Ventures, among others. The company has now raised $64.4 million.

Also:Honeywell introduces quantum computing as a service with subscription offering

Zapata was spun out of Harvard University in 2017 by scholars including Aln Aspuru-Guzik, who has done fundamental work on quantum. But a lot of what is coming up are the mundane matters of data prep and other gotchas that can be a nightmare in a bold new world of only partially-understood hardware.

Things such as extract, transform, load, or ETL, which become maddening when prepping a quantum workload.

"We had a customer who thought they had a compute problem because they had a job that was taking a long time; it turned out, when we dug in, just parallelizing the workflow, the ETL, gave them a compute advantage," recalled Savoie.

Such pitfalls, said Savoie, are thingsthat companies don't know are an issue until they get ready to spend valuable time on a quantum computer and code doesn't run as expected.

"That's why we think it's critical for companies to start now," he said, even though today's noisy intermediate-scale quantum, or NISQ, machines have only a handful of qubits.

"You have to solve all these basic problems we really haven't even solved yet in classical computing," said Savoie.

The present moment in time in the young field of quantum sounds a bit like the early days of microcomputer-based relational databases. And, in fact, Savoie likes to make an analogy to the era of the 1980s and 1990s, when Oracle database was taking over workloads from IBM's DB/2.

Also:What the Google vs. IBM debate over quantum supremacy means

"Oracle is a really good analogy, he said. "Recall when SQL wasn't even a thing, and databases had to be turned on a per-on-premises, as-a-solution basis; how do I use a database versus storage, and there weren't a lot of tools for those things, and every installment was an engagement, really," recalled Savoie.

"There are a lot of close analogies to that" with today's quantum, said Savoie. "It's enterprise, it's tough problems, it's a lot of big data, it's a lot of big compute problems, and we are the software company sitting in the middle of all that with a lot of tools that aren't there yet."

Mind you, Savoie is a big believer in quantum's potential, despite pointing out all the challenges. He has seen how technologies can get stymied, but also how they ultimately triumph. He helped found startup Dejima, one of the companies that became a component of Apple's Siri voice assistant, in 1998. Dejima didn't produce an AI wave, it sold out to database giant Sybase.

"We invented this natural language understanding engine, but we didn't have the great SpeechWorks engine, we didn't have 3G, never mind 4G cell phones or OLED displays," he recalled. "It took ten years from 1998 till it was a product, till it was Siri, so I've seen this movie before I've been in that movie."

But the technology of NLP did survive and is now thriving. Similarly, the basic science of quantum, as with the basic science of NLP, is real, is validated. "Somebody is going to be the iPhone" of quantum, he said, although along the way there may be a couple Apple Newtons, too, he quipped.

Even an Apple Newton of quantum will be a breakthrough. "It will be solving real problems," he said.

Also: All that glitters is not quantum AI

In the meantime, handling the complexity that's cropping up now, with things like ETL, suggests there's a role for a young company that can be for quantum what Oracle was for structured query language.

"You build that out, and you have best practices, and you can become a great company, and that's what we aspire to," he said.

Zapata has fifty-eight employees and has had contract revenue since its first year of operations, and has doubled each year, said Savoie.

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Quantum computing now is a bit like SQL was in the late 80s: Wild and wooly and full of promise - ZDNet

Is Now the Time to Start Protecting Government Data from Quantum Hacking? – Nextgov

My previous column about the possibility of pairing artificial intelligence with quantum computing to supercharge both technologies generated a storm of feedback via Twitter and email. Quantum computing is a science that is still somewhat misunderstood, even by scientists working on it, but might one day be extremely powerful. And artificial intelligence has some scary undertones with quite a few trust issues. So I understand the reluctance that people have when considering this marriage of technologies.

Unfortunately, we dont really get a say in this. The avalanche has already started, so its too late for all of us pebbles to vote against it. All we can do now is deal with the practical ramifications of these recent developments. The most critical right now is protecting government encryption from the possibility of quantum hacking.

Two years ago I warned that government data would soon be vulnerable to quantum hacking, whereby a quantum machine could easily shred the current AES encryption used to protect our most sensitive information. Government agencies like NIST have been working for years on developing quantum-resistant encryption schemes. But adding AI to a quantum computer might be the tipping point needed to give quantum the edge, while most of the quantum-resistant encryption protections are still being slowly developed. At least, that is what I thought.

One of the people who contacted me after my last article was Andrew Cheung, the CEO of 01 Communique Laboratory and IronCAP. They have a product available right now which can add quantum-resistant encryption to any email. Called IronCAP X, its available for free for individual users, so anyone can start protecting their email from the threat of quantum hacking right away. In addition to downloading the program to test, I spent about an hour interviewing Cheung about how quantum-resistant encryption works, and how agencies can keep their data protection one step ahead of some of the very same quantum computers they are helping to develop.

For Cheung, the road to quantum-resistant encryption began over 10 years ago, long before anyone was seriously engineering a quantum computer. It almost felt like we were developing a bulletproof vest before anyone had created a gun, Cheung said.

But the science of quantum-resistant encryption has actually been around for over 40 years, Cheung said. It was just never specifically called that. People would ask how we could develop encryption that would survive hacking by a really fast computer, he said. At first, nobody said the word quantum, but that is what we were ultimately working against.

According to Cheung, the key to creating quantum-resistant encryption is to get away from the core strength of computers in general, which is mathematics. He explained that RSA encryption used by the government today is fundamentally based on prime number factorization, where if you multiply two prime numbers together, the result is a number that can only be broken down into those primes. Breaking encryption involves trying to find those primes by trial and error.

So if you have a number like 21, then almost anyone can use factorization to quickly break it down and find its prime numbers, which are three and seven. If you have a number like 221, then it takes a little bit longer for a human to come up with 13 and 17 as its primes, though a computer can still do that almost instantaneously. But if you have something like a 500 digit number, then it would take a supercomputer more than a century to find its primes and break the related encryption. The fear is that quantum computers, because of the strange way they operate, could one day do that a lot more quickly.

To make it more difficult for quantum machines, or any other kind of fast computer, Cheung and his company developed an encryption method based on binary Goppa code. The code was named for the renowned Russian mathematician who invented it, Valerii Denisovich Goppa, and was originally intended to be used as an error-correcting code to improve the reliability of information being transmitted over noisy channels. The IronCAP program intentionally introduces errors into the information its protecting, and then authorized users can employ a special algorithm to decrypt it, but only if they have the private key so that the numerous errors can be removed and corrected.

What makes encryption based on binary Goppa code so powerful against quantum hacking is that you cant use math to guess at where or how the errors have been induced into the protected information. Unlike encryption based on prime number factorization, there isnt a discernible pattern, and theres no way to brute force guess at how to remove the errors. According to Cheung, a quantum machine, or any other fast system like a traditional supercomputer, cant be programmed to break the encryption because there is no system for it to use to begin its guesswork.

A negative aspect to binary Goppa code encryption, and also one of the reasons why Cheung says the protection method is not more popular today, is the size of the encryption key. Whether you are encrypting a single character or a terabyte of information, the key size is going to be about 250 kilobytes, which is huge compared with the typical 4 kilobyte key size for AES encryption. Even ten years ago, that might have posed a problem for many computers and communication methods, though it seems tiny compared with file sizes today. Still, its one of the main reasons why AES won out as the standard encryption format, Cheung says.

I downloaded the free IronCAP X application and easily integrated it into Microsoft Outlook. Using the application was extremely easy, and the encryption process itself when employing it to protect an email is almost instantaneous, even utilizing the limited power of an average desktop. And while I dont have access to a quantum computer to test its resilience against quantum hacking, I did try to extract the information using traditional methods. I can confirm that the data is just unreadable gibberish with no discernable pattern to unauthorized users.

Cheung says that binary Goppa code encryption that can resist quantum hacking can be deployed right now on the same servers and infrastructure that agencies are already using. It would just be a matter of switching things over to the new method. With quantum computers evolving and improving so rapidly these days, Cheung believes that there is little time to waste.

Yes, making the switch in encryption methods will be a little bit of a chore, he said. But with new developments in quantum computing coming every day, the question is whether you want to maybe deploy quantum-resistant encryption two years too early, or risk installing it two years too late.

John Breeden II is an award-winning journalist and reviewer with over 20 years of experience covering technology. He is the CEO of the Tech Writers Bureau, a group that creates technological thought leadership content for organizations of all sizes. Twitter: @LabGuys

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Is Now the Time to Start Protecting Government Data from Quantum Hacking? - Nextgov

Inside the Competition That Will Save Bitcoin From Quantum Computers – Decrypt

Andersen Cheng's wife wanted him to take it easy after he sold his cyber-security companies for ~$200 million in 2006 at the age of 43. But he returned to the fray for one last missionto save the world from quantum computers, whose immense power he believes threatens total social and economic collapse.

They can hack into any cell phone, laptopsanything, he told Decrypt in a recent interview. Even Bitcoin wallets.

For the past 14 years, Cheng, now 57, has run Post-Quantum, a British company building an encryption algorithm resistant to quantum computers. Quantum computers, still prototypes, are thousands of times faster than supercomputers and could crack all modern encryption within seconds.

It'll be about a decade until Googles quantum computer hits the shelves (Google is believed to be a frontrunner in the race to build a quantum machine.) Yet Cheng said he was tipped off by anonymous friends from the British intelligence world, to whom he has sold cybersecurity software since the 80s, that quantum computers produced in secrecy by governments could crack encryption within three years.

While the timeline might be debatable, the end result is not: Unless we get in front of the problem, a quantum computer, once operational, could reveal every governments secrets, drain any bank account and overpower nuclear power stations, said Cheng. The machines could also destroy Bitcoina hacker could use a quantum computer to reverse-engineer your public keys to work out your private ones, then drain your Bitcoin wallet.

Its like walking into a bank vault without drawing a gun: Its totally wide open, he said.

Cheng claims that unless we act soon the computerized world could devolve into complete and utter financial collapse. And thats precisely what his company wants to avert.

Post-Quantum believes it has created a quantum-resistant encryption protocol that banks and governments could use to re-encrypt their files, and that blockchains could use to prevent people from hacking the network.

According to CJ Tjhai, one of the co-founders of Post-Quantum and an architect of the protocol, heres how it works. Post-Quantums algorithm encrypts a message by padding it out with redundant data and deliberately corrupting it with random errors. The ciphertext recipient with the correct private key knows which fluff to cut and how to correct any errors.

You add some extra data to the filesome garbage thats only meaningful to the private key holder. And you then also corrupt the file: you add errors to itflip the bits, he said. Its a little like how archivists use artificial intelligence to restore grainy videos of WW2 dogfights.

Tjhai said that this algorithm is far more secure than todays common encryption algorithm, RSA, whose private keys are forged from the factorization of two numbers. It would take thousands of years for even the most powerful supercomputer to guess the numbers, though a quantum computer would have no problem.

Of Post-Quantums encryption method, Tjhai said, People can try to break this thing using quantum computers, but from what we understand now, they can do it, but it will take an extremely long time. Thats because quantum computers arent designed to be efficient at cracking these kinds of codes.

Post-Quantums algorithm is based on an algorithm created in 1978 by Caltech professor Robert McEliece. It doesnt require a powerful computer and is pretty fast. But its only feasible today because hard drives are larger and internet speeds are faster. RSA-2048 has a public key size of 256 bytes, while a code-based algorithm like Post Quantum's can be a minimum of 255 kilobytes.

Tjhai said the algorithm could also project Bitcoin. It would be trivial for someone using a quantum computer to work out the private keys to your wallet, so long as they knew the public key. With quantum computers, we will be able to reverse that [public key] into the private key, he said.

In July 2020, the National Institute of Standards and Technologythe US agency that sets global standards for encryption protocolsannounced that Post-Quantums encryption algorithm had beaten 82 others to become one of 15 finalists of a four-year-long competition to build a quantum-resistant algorithm.

Post-Quantums algorithm is up against three finalists from another class of cryptography: lattice-based schemes, whose algorithms crack codes by finding lines in a grid. Its expected that NIST will choose a finalist from each scheme for standardization by early 2022.

To reach the final round, Post-Quantum in February merged its submission into one created by one of the worlds foremost cryptographers, Daniel Bernstein.

Post-Quantum is the smaller fishthough Cheng said that it is by no means less able. Bernsteins work has thousands of citations and hes a professor at two leading universities; Chengs 14-person-strong company (plus ten contractors) receives no government funding (in 2016 it raised $10.3 million in a Series A), and until the pandemic, operated from an office above a busy McDonalds abridged to a central London train station.

Andreas Hlsing, a cryptographer from the Eindhoven University of Technology and a finalist on a digital signature submission to the NIST competition called SPHINCS+ and a public-key encryption algorithm called NTRU, told Decrypt that the NIST competition feels more cooperative than a fight to the death; Hlsing, for instance, has worked with many of his competitors and once studied under Bernstein.

The schemes which made it to the end are actually the schemes which were around already for the last maybe 10 years, and were essentially tweaked, he said. Post-Quantums submission is a tweak of a scheme created back in the 70s.

There were a bunch of proposals which really tried to do a lot [of new things], and sadly, most of them actually failed, said Hlsing. The finalists, such as Post-Quantums proposal, are well-studiedthey just werent suitable for the last generation of computers.

You don't have many different options. Theyre all old schemes, which people try to optimize in a certain way," he said.

Post-Quantums ambitions extend beyond the NIST competition. The protocol powers a forthcoming VPN and was the backbone of its short-lived quantum-secure chat app; the company removed it from the Google Play store after ISIS started using it to coordinate attacks. Too much hassle, said Cheng.

Dont get me wrongwe still want to make some money out of it, said Cheng, who headed JPMorgans credit risk department in Europe back in the late 90s, saving the world from Y2Ka computer bug many feared would crash the programs holding society together on January 1, 2000, because programmers in the 60s hadnt the foresight to believe that people would still use them in the new millennium.

It sure beats retirement. "There's only so much golf you can play," he said.

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Inside the Competition That Will Save Bitcoin From Quantum Computers - Decrypt

Cracking the secrets of an emerging branch of physics – MIT News

Thanh Nguyen is in the habit of breaking down barriers. Take languages, for instance: Nguyen, a third-year doctoral candidate in nuclear science and engineering (NSE), wanted to connect with other people and cultures for his work and social life, he says, so he learned Vietnamese, French, German, and Russian, and is now taking an MIT course in Mandarin. But this drive to push past obstacles really comes to the fore in his research, where Nguyen is trying to crack the secrets of a new and burgeoning branch of physics.

My dissertation focuses on neutron scattering on topological semimetals, which were only experimentally discovered in 2015, he says. They have very special properties, but because they are so novel, theres a lot thats unknown, and neutrons offer a unique perspective to probe their properties at a new level of clarity.

Topological materials dont fit neatly into conventional categories of substances found in everyday life. They were first materialized in the 1980s, but only became practical in the mid-2000s with deepened understanding of topology, which concerns itself with geometric objects whose properties remain the same even when the objects undergo extreme deformation. Researchers experimentally discovered topological materials even more recently, using the tools of quantum physics.

Within this domain, topological semimetals, which share qualities of both metals and semiconductors, are of special interest to Nguyen.They offer high levels of thermal and electric conductivity, and inherent robustness, which makes them very promising for applications in microelectronics, energy conversions, and quantum computing, he says.

Intrigued by the possibilities that might emerge from such unconventional physics, Nguyen is pursuing two related but distinct areas of research: On the one hand, Im trying to identify and then synthesize new, robust topological semimetals, and on the other, I want to detect fundamental new physics with neutrons and further design new devices.

On a fast research track

Reaching these goals over the next few years might seem a tall order. But at MIT, Nguyen has seized every opportunity to master the specialized techniques required for conducting large-scale experiments with topological materials, and getting results. Guided by his advisor,Mingda Li, the Norman C Rasmussen Assistant Professor and director of theQuantum Matter Group within NSE, Nguyen was able to dive into significant research even before he set foot on campus.

The summer, before I joined the group, Mingda sent me on a trip to Argonne National Laboratory for a very fun experiment that used synchrotron X-ray scattering to characterize topological materials, recalls Nguyen. Learning the techniques got me fascinated in the field, and I started to see my future.

During his first two years of graduate school, he participated in four studies, serving as a lead author in three journal papers. In one notable project,described earlier this year in Physical Review Letters, Nguyen and fellow Quantum Matter Group researchers demonstrated, through experiments conducted at three national laboratories, unexpected phenomena involving the way electrons move through a topological semimetal, tantalum phosphide (TaP).

These materials inherently withstand perturbations such as heat and disorders, and can conduct electricity with a level of robustness, says Nguyen. With robust properties like this, certain materials can conductivity electricity better than best metals, and in some circumstances superconductors which is an improvement over current generation materials.

This discovery opens the door to topological quantum computing. Current quantum computing systems, where the elemental units of calculation are qubits that perform superfast calculations, require superconducting materials that only function in extremely cold conditions. Fluctuations in heat can throw one of these systems out of whack.

The properties inherent to materials such as TaP could form the basis of future qubits, says Nguyen. He envisions synthesizing TaP and other topological semimetals a process involving the delicate cultivation of these crystalline structures and then characterizing their structural and excitational properties with the help of neutron and X-ray beam technology, which probe these materials at the atomic level. This would enable him to identify and deploy the right materials for specific applications.

My goal is to create programmable artificial structured topological materials, which can directly be applied as a quantum computer, says Nguyen. With infinitely better heat management, these quantum computing systems and devices could prove to be incredibly energy efficient.

Physics for the environment

Energy efficiency and its benefits have long concerned Nguyen. A native of Montreal, Quebec, with an aptitude for math and physics and a concern for climate change, he devoted his final year of high school to environmental studies. I worked on a Montreal initiative to reduce heat islands in the city by creating more urban parks, he says. Climate change mattered to me, and I wanted to make an impact.

At McGill University, he majored in physics. I became fascinated by problems in the field, but I also felt I could eventually apply what I learned to fulfill my goals of protecting the environment, he says.

In both classes and research, Nguyen immersed himself in different domains of physics. He worked for two years in a high-energy physics lab making detectors for neutrinos, part of a much larger collaboration seeking to verify the Standard Model. In the fall of his senior year at McGill, Nguyens interest gravitated toward condensed matter studies. I really enjoyed the interplay between physics and chemistry in this area, and especially liked exploring questions in superconductivity, which seemed to have many important applications, he says. That spring, seeking to add useful skills to his research repertoire, he worked at Ontarios Chalk River Laboratories, where he learned to characterize materials using neutron spectroscopes and other tools.

These academic and practical experiences served to propel Nguyen toward his current course of graduate study. Mingda Li proposed an interesting research plan, and although I didnt know much about topological materials, I knew they had recently been discovered, and I was excited to enter the field, he says.

Man with a plan

Nguyen has mapped out the remaining years of his doctoral program, and they will prove demanding. Topological semimetals are difficult to work with, he says. We dont yet know the optimal conditions for synthesizing them, and we need to make these crystals, which are micrometers in scale, in quantities large enough to permit testing.

With the right materials in hand, he hopes to develop a qubit structure that isnt so vulnerable to perturbations, quickly advancing the field of quantum computing so that calculations that now take years might require just minutes or seconds, he says. Vastly higher computational speeds could have enormous impacts on problems like climate, or health, or finance that have important ramifications for society. If his research on topological materials benefits the planet or improves how people live, says Nguyen, I would be totally happy.

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Cracking the secrets of an emerging branch of physics - MIT News