Intern with Zapata Research at the
forefront of quantum.
We can’t believe that 2022 will launch the fifth installment of the Zapata Summer Research Internship Program. With four rounds behind us, there is plenty to reflect on and much to look forward to. See below to learn more.
When Amara first joined Zapata in the summer of 2018 as a research intern, he was studying the characterization of noise in quantum devices as a PhD student at University of Georgia with his supervisor Michael Geller. He brought his expertise to Zapata, where as part of his internship, Amara worked on simulating errors in quantum devices using variational quantum channels as well as developing methods to improve correction of readout errors. After completing his PhD, Amara joined Zapata full-time as a Quantum Research Scientist, leading and/or contributing to numerous projects, including Geometry of Two-Qubit PQCs , experimental demonstrations of Variational Quantum Factoring, quantum generative modeling, and Robust Amplitude Estimation, as well as supervising intern projects. He has recently been promoted to Senior Scientist at Zapata and works as the Lead of Zapata’s Quantum Hardware Team.
Zapata is a very intellectually diverse and rich environment. It can almost be guaranteed that you can find someone who is interested in almost any particular subfield of near-term quantum computing; from quantum intermediate representations to state preparation algorithms and everything in between.
We are creative, curious, and revolutionary.
We are committed to creating an environment that accelerates our teammates’ growth and positive impact in the world. We are fast-paced, highly collaborative, and cross-disciplinary. Our world-class team of resourceful problem solvers is pioneering commercial quantum algorithms, research, and product development
The Zapata internship program is a well-oiled machine. An essential part of any well-oiled machine is its constant upkeep and improvement. We’ve gotten great feedback from each batch of interns and adjusted the program accordingly. Over time, we’ve learned that project planning led by interns helps create ownership and is a recipe for success (and good papers!). We’ve learned that flexibility to shift focus and follow a promising lead makes for great discoveries. And we’ve learned to keep it simple, because this lets us stay focused on “impact over impress.”
Zapata interns have developed quantum algorithms that take us closer to quantum advantage, they have built software packages that are continuing to be used at Zapata, and they’ve shaped the culture in a wonderful way.
Interns from our early cohorts are now postdocs in renowned research groups, lecturers at prestigious universities, and even leaders within Zapata! See below for a list of past Zapata interns and where they are now.
In a sense, we don’t exactly know! Intern projects are co-designed and planned between interns and supervisors. So, much is to be determined by you, future Zapata intern. But we will focus on two broad questions: How should we use early fault-tolerant quantum computers to achieve quantum advantage in simulation and optimization and how should we use NISQ devices to achieve quantum advantage in machine learning? While there is much work to be done in answering these questions, the beautiful thing is that our approach to solving these problems, the “Zapata way”, has largely been shaped by an amazing cast of Zapata interns. Thank you!
Previous Zapata Research internship classes
Mohammad Ghazi Vakili, PhD
Yihui Quek, PhD
Sukin Sim, PhD
Amara Katabarwa, PhD
Maria Kieferova, PhD
Jhonathan Romero, PhD
Sukin Sim, PhD