Nadia Carlsten, head of product at the AWS Center for Quantum Computing
Nadia Carlsten, head of product at the AWS Center for Quantum Computing, and her team are working on the holy grail of quantum computing: a fault-tolerant quantum computer.
Courtesy of Nadia Carlsten

Nadia Carlsten drives Amazon's quest for a quantum breakthrough

The senior product manager leading hardware and software product development at the Center for Quantum Computing wants to make fault-tolerant quantum computing a reality.

When Nadia Carlsten joined Amazon three years ago, she didn't expect to be working on quantum computing. In fact, at that time the company hadn’t publicly disclosed its quantum research program. But she has always followed her intellectual interests, which is why joining Amazon appealed to her.

"I knew it was going to be a place where I was never going to be bored intellectually," Carlsten says. "One of our Amazon leadership principles is 'learn and be curious.' That definitely resonated with me, because I feel like that's how I make most decisions in my life."

Nadia Carlsten: 10 things to know about quantum computing

As head of product at the Amazon Web Services (AWS) Center for Quantum Computing, Carlsten is at the forefront of a potential change in the processing and transmission of some kinds of information. While earning her doctorate degree in engineering at the University of California, Berkeley, however, she was focused on more traditional chip fabrication technologies, to develop complex micro-electro mechanical systems.

How did she get interested in quantum computing?

"Like all things quantum, it was a little bit counterintuitive," she says.

Driven by interests, not labels

Carlsten likes building things, which is what led her to design and fabricate microchips as a grad student at UC Berkeley after earning dual bachelor's degrees in physics and chemistry at the University of Virginia.

"I really enjoyed being able to actually see something I built with my own hands," she says. Curious about the commercial applications for the chips she was creating, she started taking classes at UC Berkeley's Haas School of Business, which was right across the street from her lab. She did so well in a class with professor Henry Chesbrough, known for coining the term "open innovation," that he encouraged her to take more business courses.

She followed his advice, taking MBA-level classes by day and finishing her dissertation by night — a decision that ended up shaping her career. Instead of pursuing a postdoc research position as planned, she took a consulting job working for Accenture, launching a career at the intersection of emerging technology and business.

From then until now, Carlsten has never let labels or perceived roadblocks hold her back.

"I just always did what I was interested in doing," she says. "As long as I thought it was a learning opportunity, I wasn't interested in whether that fit into a box or not, and I wasn't afraid that I would fail at it."

A leap toward quantum

Carlsten gained more exposure to quantum computing — a hot cybersecurity topic because of its potential to disrupt current cryptography methods — at the Department of Homeland Security. She joined the agency as a program manager for cybersecurity in 2016, later becoming director of commercialization.

At the 2019 DHS Science and Technology Directorate Innovation Showcase, where she spoke about commercializing emerging technologies, she was approached by Amazon about potentially joining the company. In April of that year, she accepted a role as head of strategy and operations for the AWS ISV Acceleration Team. In that capacity, she helped AWS customers with unique technology requirements, such as regulatory or security considerations, in adopting and implementing AWS products.

But quantum computing remained a passion. She continued learning about it on her own time and periodically asked about Amazon plans to get into quantum, eventually learning about internal efforts to build Amazon Braket. The AWS service, which offers access to different types of quantum computers, is designed to help accelerate scientific research and software development for quantum computing.

Carlsten joined the Braket team as senior technical product manager in February 2020 to shape the product for quantum customers and to prepare for launch as a generally available service. Last year, she took on her current role focusing on Amazon’s more long-term strategy for quantum technologies.

A decade ago, she says, conversations about quantum computing were largely confined to the realm of scientists and engineers.

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"Now quantum computing is visible enough in the business sphere that people who are interested in practical applications are paying attention to it and investing in it," she says, "whether it's making a financial investment or just learning more about it to build up that internal expertise."

Part of Carlsten's job is figuring out those practical applications for quantum computing. For example, quantum computers could potentially simulate intricate natural phenomena such as the behavior of molecules. That capability would be relevant to pharmaceuticals and materials development.

But scenarios like that are years away because today’s quantum computers are still imperfect machines. Carlsten's team is working on the holy grail of quantum computing: a fault-tolerant quantum computer, which will make it possible to run the complex algorithms required for commercial applications of quantum computing. This involves two primary challenges, Carlsten explains. One is scaling up the number of qubits — the quantum equivalent of a bit on a classical computer. Another is increasing the quality of those qubits to reduce the device's error rate.

Qubits can be made from particles in nature, like photons, or built from superconducting materials. Qubits are also far more prone to disruption from interactions with anything that surrounds them.

Amazon's quantum computing approach

Researchers at the AWS Center for Quantum Computing, which is on the campus of the California Institute of Technology in Pasadena, are working to address quantum error rates in two ways. One is by building better qubits; the other is quantum error correction, which detects and fixes errors as they happen so that they do not accumulate during a calculation.

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Many subsystems are involved in this effort, from the qubits themselves to the software that controls the computer to a cryogenic system that keeps the qubits at around 10 millikelvin — colder than outer space, at -460 °F.

"There's going to be many different technology milestones that need to happen before we can get to a commercial scale fault-tolerant quantum computer," Carlsten says. "As a product manager, that's really exciting, because it requires a very ambitious product roadmap."

AWS re:Invent 2021 - The path to a fault-tolerant quantum computer

Where that roadmap leads for quantum is more open-ended than it would be for a more traditional product, but that's part of why Carlsten likes the work. She has always thrived with ambiguity, in part because of her ability to translate very complex technology into business value.

A technology as cutting-edge as quantum computing poses a unique twist to Amazon's company-wide mandate of customer obsession.

"With quantum, you have to think about what the applications of the future are going to be, because customers can't tell you exactly how they’ll use a quantum computer at this point," Carlsten says. "Thinking about those more strategic long-term possibilities is what really keeps me passionate about this role."

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AWS 영업, 마케팅 및 글로벌 서비스 (SMGS) 는 크고 빠르게 성장하는, 공공 부문에서 엔터프라이즈에 이르기까지 고객의 성장을 돕는 역할을 합니다. AWS 글로벌 지원 팀은 글로벌 기업과 교류하며 고객의 성공을 돕습니다. 또한 AWS Support는 AWS 서비스를 기반으로 미션 크리티컬 애플리케이션을 구축하는 전 세계 고객 목록과도 파트너 관계를 맺고 있습니다. 프로페셔널 서비스팀은 AWS 내 글로벌 서비스팀에 소속되어 있습니다. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 다양성 AWS는 다양한 경험을 중요하게 생각합니다. JD에 나와 있는 자격 및 기술을 모두 충족하지 못하더라도 지원자가 지원하도록 권장합니다. 경력을 이제 막 시작하였거나, 전통적인 경력을 쌓지 않았거나, 조금 다른 경험을 쌓았다고, 지원을 중단하실 필요는 없습니다. AWS를 선택해야 하는 이유 아마존 웹 서비스 (AWS) 는 세계에서 가장 포괄적이고 널리 채택된 클라우드 플랫폼입니다.우리는 클라우드 컴퓨팅 시장을 개척했으며 혁신을 멈추지 않았습니다. 이것이 바로 가장 성공적인 스타트업부터 Global 500 기업에 이르는 고객이 AWS의 제품 및 서비스 제품군을 신뢰하는 이유입니다. 일과 삶의 균형 우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 안 됩니다. 그렇기 때문에 유연한 근무 시간과 근무 방식이 우리 문화의 일부입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. 포용적인 팀 문화 AWS에서는 배우고 호기심을 갖는 것이 우리의 본능입니다.직원이 주도하는 어피니티 그룹은 서로 다른 점을 자랑스럽게 여길 수 있는 포용의 문화를 조성합니다.인종 및 민족에 관한 대화 (CORE) 및 AmazeCon (성별 다양성) 컨퍼런스를 포함하여 진행 중인 이벤트와 학습 경험은 우리가 우리의 독창성을 받아들일 수 있도록 영감을 줍니다. 멘토십 및 경력 개발 우리는 세계 최고의 고용주가 되기 위해 노력하면서 지속적으로 성과 기준을 높이고 있습니다.그렇기 때문에 더 다재다능한 전문가로 발전하는 데 도움이 되는 지식 공유, 멘토십 및 기타 경력 개발 리소스를 찾을 수 있습니다. 일과 삶의 균형 우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 절대 안 됩니다. 이것이 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. #aws-korea-proserv-ap #AWSKOREA
US, Virtual
Amazon is deeply invested in R&D with hundreds of researchers and applied scientists committed to innovation across every part of the company. The Amazon Scholars and Visiting Academic programs have broadened opportunities for academics to join Amazon in a flexible capacity, in particular part-time arrangements and sabbaticals. The program is designed for academics from universities around the globe who want to apply research methods in practice and help us solve hard technical challenges without leaving their academic institutions. We believe that Amazon is a unique place to measure the impact of new scientific ideas, given our scale and our ownership of both an information infrastructure and physical infrastructure. You will have a chance to have a ground-up impact on our systems, our business, and most importantly, our customers, through your expertise. Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, Robotics and Sustainability. Key job responsibilities As an Amazon Scholar or Visiting Academic, your responsibilities may include: * Advising business leaders on strategic plans * Diving deep to solve a specific technical problem in an organization’s roadmap * Advising junior researchers on methods.
US, WA, Seattle
About Amazon Regulatory Intelligence, Safety, and Compliance (RISC). Amazon RISC’s vision is to make Amazon Earth’s most trusted shopping destination for safe and compliant products. Towards this mission, we take a science-first approach to building technology, products and services, that protect customers from unsafe, illegal, controversial, or policy-violating products. Job Summary We are seeking an exceptional Applied Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Key job responsibilities • Design and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI • Translate product and CX requirements into measurable science problems and metrics. • Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact • Key author in writing high quality scientific papers in internal and external peer-reviewed conferences. A day in the life - Understanding customer problems, project timelines, and team/project mechanisms - Proposing science formulations and brainstorming ideas with team to solve business problems - Writing code, and running experiments with re-usable science libraries - Reviewing labels and audit results with investigators and operations associates - Sharing science results with science, product and tech partners and customers - Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team. - Contributing to team retrospectives for continuous improvements - Driving science research collaborations and attending study groups with scientists across Amazon About the team We are a team of applied scientists building AI/ML solutions to make Amazon Earth’s most trusted shopping destination for safe and compliant products.