Amazon and Harvard launch alliance to advance research in quantum networking

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Amazon and Harvard launch alliance to advance research in quantum networking
Collaboration will seek to advance the development of a quantum internet.
By Staff writer


Harvard University and Amazon Web Services (AWS) today announced they have launched a strategic alliance to advance fundamental research and innovation in quantum networking.
AWS, which launched the AWS Center for Quantum Networking earlier this year, will provide funding for faculty-led research at Harvard. That funding will also help build capacity for student recruitment, training, outreach, and workforce development in this key emerging technology field.
The initiative focuses on driving rapid progress toward specific research aims in quantum networking at the Harvard Quantum Initiative (HQI).
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“Quantum networking is an emerging space that can help to address challenges of growing importance to our world, such as secure communication and powerful quantum computing clusters,” said Antia Lamas-Linares , quantum networking lead at AWS. “The collaborative initiative between AWS and Harvard will harness top research talent to explore quantum networking today and establish a framework to develop the quantum workforce of the future.”
“By working together, academia and industry can accelerate discovery and technological progress,” said Harvard provost Alan M. Garber. “Through this alliance with AWS, we will bring scientific scholarship and education to bear on some of the most exciting frontiers in quantum science. Together we will advance the goals of the Harvard Quantum Initiative, an interfaculty initiative that exemplifies the rewards of collaboration across different scientific domains.”
Accelerating the potential for quantum impact
Through a three-year research alliance, enabled by Harvard’s Office of Technology Development, AWS will provide funding for faculty-led and designed research projects in the areas of quantum memory, integrated photonics, and quantum materials.
A portion of that funding will go toward an upgrade to the quantum fabrication capabilities of Harvard’s U.S. National Science Foundation-supported Center for Nanoscale Systems , an important facility for nanofabrication, materials characterization, soft lithography, and imaging, with locations in Cambridge and the Science and Engineering Complex in Allston, both in Massachusetts.
The overall goal of the research projects is to develop foundational methods and technologies for what eventually will become a quantum internet .
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As the world faces threats to privacy and security, exploring possible quantum networking applications is an important area of focus. The behavior of information in a quantum network is expected to enable unprecedented security and anonymity. Yet, for those aspirations to be realized, physicists, engineers, and materials scientists must overcome challenges to store, manipulate, repeat, and transmit quantum information over long distances.
“Exploring this potential requires a deep understanding of the industry’s toughest scientific challenges,” said Lamas-Linares, who will lead the new alliance. “That will lead to the development of new hardware, software, and applications for quantum networks.”
“These projects build upon fundamental work that has been done at Harvard labs for well over a decade by several generations of students and postdocs who have pushed the frontiers, starting from theory, to experimental physics, to device engineering, to materials development,” said Mikhail Lukin , the George Vasmer Leverett Professor of Physics and codirector of HQI.
In parallel with research efforts at Harvard, researchers at AWS will strive to advance the engineering maturity and scalability of quantum memory technology. This effort builds on Amazon’s June 2022 announcement of the AWS Center for Quantum Networking where AWS will focus on addressing scientific and engineering challenges. The goal is to develop new hardware, software, and applications for quantum networks that connect and amplify the capabilities of individual quantum processors.
“Quantum networking is a very specific area of research that requires a different focus compared to quantum computing,” said Simone Severini , director, quantum technologies at AWS. “The best way to tackle this problem is to have a dedicated team of scientists and engineers.”
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“Innovation in advanced technology areas like quantum will require collaboration by academic labs, small industry, leading corporations, and likely also government labs,” Lukin added. “It is part of the HQI mission to enable these kinds of collaboration, and this alliance with AWS is a critical step in that direction.”
“In quantum, we have a unique opportunity because the research is still so much in the early stages of basic discovery, yet also at the threshold of commercial implementation,” said HQI codirector Evelyn Hu , the Tarr-Coyne Professor of Applied Physics and Electrical Engineering. “This is very unusual in science and technology. For students training in this field, especially, it’s important to get an appreciation of what science and engineering can do, but also what it needs to do to be scaled up, go to the outside world, and be relevant.”
Diversifying the future
In addition to the quantum research collaboration, AWS will also fund the AWS Generation Q Fund at HQI, a new fellowship program for post-baccalaureates, graduate students, and postdocs to train the next-generation of quantum scientists and engineers.
The need to expand America’s quantum technology workforce was noted in a recent set of quantum focused directives from the Biden administration . The goal of the initiative is to begin to establish a diverse talent pipeline of highly qualified researchers to train the next generation of quantum scientists and engineers.
“AWS appreciates that HQI can play a profound and seminal role in helping build the future of the quantum workforce, making opportunities possible for the next generation of leaders and innovators,” said Hu.
Hu emphasized the program helps introduce students to quantum research, including placing them in a research group and providing funds for coursework and to attend and present at conferences.
“Programs that can provide academic bridges are important in bringing in a wider group of people into the community,” said Hu.
“There is a shortage of qualified quantum-educated workforce, and it’s not just physicists but engineers and even people involved in running these businesses,” added Lukin. “We’re in a unique position to contribute,” he explained. “Essentially, all major quantum research centers in the U.S. and abroad have several faculty members and group leaders who have been educated at Harvard.”
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Applied Scientist- AWS AI
US, CA, Santa Clara
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Applied Scientist- AWS AI
US, NY, New York
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US, CA, Santa Clara
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Applied Scientist, AI Research & Education
US, CA, Santa Clara
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Senior Applied Scientist - Machine Learning, Personalization, Recommendations, Machine Learning, Causal Inference, Personalization
US, WA, Seattle
Job summaryHow can we create a rich, data-driven shopping experience on Amazon? How do we build data models that helps us innovate different ways to enhance customer experience? How do we combine the world's greatest online shopping dataset with Amazon's computing power to create models that deeply understand our customers? Recommendations at Amazon is a way to help customers discover products. Our team's stated mission is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations". We strive to better understand how customers shop on Amazon (and elsewhere) and build recommendations models to streamline customers' shopping experience by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day. Using Amazon’s large-scale computing resources you will ask research questions about customer behavior, build models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for passionate, hard-working, and talented Applied scientist who have experience building mission critical, high volume applications that customers love. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know.Key job responsibilitiesScaling state of the art techniques to Amazon-scaleWorking independently and collaborating with SDEs to deploy models to productionDeveloping long-term roadmaps for the team's scientific agendaDesigning experiments to measure business impact of the team's effortsMentoring scientists in the departmentContributing back to the machine learning science community
Applied Scientist
US, NY, New York City
Job summaryAmazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Macie (https://aws.amazon.com/macie/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop and enable them to take on more complex tasks in the future.A day in the lifeAbout the hiring groupJob responsibilities* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.* Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.* Report results in a scientifically rigorous way.* Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.
Data Scientist, Workforce Staffing
GB, London
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Senior Data Scientist, Amazon Ads Identity
US, CA, Palo Alto
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Applied Scientist, Global Consumer Engagement, Prime Video
US, WA, Seattle
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Renewable Research Scientist , AWS REO Team
CA, BC, Vancouver
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