2023 internship program.

Intern with Zapata
at the forefront of quantum.

2023 launches the sixth installment of the Zapata Summer Research Internship Program. Our scientists and engineers are building the foundation for the quantum future.

Intern Highlight

Where are they now:
Amara Katabarwa

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.

Meet Amara
Our mindset

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

About Zapata
Frequently Asked Questions

Internship FAQ’s

What has Zapata learned throughout the program?

What have Zapata interns done?

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What is next for the intern program?

Our History

Previous Zapata internship classes

2022

2021

2020

2019

2018

2022

2022

Ahmed Darwish

  • Technical University of Munich 
  • Quantum Software Team

Laura Gao

  • Marc Garneau Collegiate Institute 
  • Quantum Software Team

Qiyuan Hu

  • University of Chicago 
  • Quantum Software Team

Boniface Yogendran (Yogi)

  • University of Edinburgh and Canadian Armed Forces 
  • Quantum Software Team

Juan Florez

  • National University of Columbia
  • Quantum Software Team

Oliver Maupin

  • Tufts University 
  • Quantum Hardware Team

George Umbrarescu

  • University College London 
  • Quantum Hardware Team

Atithi Acharya

  • Rutgers University 
  • Quantum AI Team

Roberto Campos Ortiz

  • Complutense University of Madrid 
  • Quantum AI Team

Brian Chen

  • University of Michigan 
  • Quantum AI Team

Dhruv Devulapalli

  • University of Maryland 
  • Quantum AI Team

Mohamed Hibat-Allah

  • University of Waterloo / Vector Institute 
  • Quantum AI Team

Alexander Meiburg

  • UC Santa Barbara 
  • Quantum AI Team

Danial Motlagh

  • University of Toronto 
  • Quantum AI Team

Javier Lopez Piqueres

  • University of Massachusetts Amherst 
  • Quantum AI Team

Danny Samuel

  • University of Michigan
  • Quantum AI Team

Zack Bansingh

  • University of Toronto 
  • Quantum Algorithms Research Team

Katerina Gratsea

  • The Institute of Photonic Sciences 
  • Quantum Algorithms Research Team

Qiyao Liang

  • MIT 
  • Quantum Algorithms Research Team

Ruizhe Zhang

  • University of Texas Austin 
  • Quantum Algorithms Research Team

Yiqing Zhou

  • Cornell University 
  • Quantum Algorithms Research Team

Shuchen Zhu

  • Georgetown University 
  • Quantum Algorithms Research Team

Sarah Bai

  • Harvard Divinity School
  • Business Development Team

Sasha Cocquyt

  • The Nueva School 
  • Product Marketing Team

Ethan Hansen

  • Case Western University 
  • Product Marketing Team

2021

2021

Ahmed Darwish 

  • Masters Student, Technical University of Munich 
  • Contributions: Quantum Software Team member with contributions throughout our code base 

Mohammad Ghazi Vakili, PhD 

  • Zapata Quantum Industry Postdoc, University of Toronto 
  • Project title: Improving Quantum Enhanced Optimization 

Vladimir Vargas-Calderón 

  • PhD Student, National University of Colombia 
  • Project title: Stay tuned! 

Asad Raza 

Sumner Alperin 

  • PhD Student, University of Toronto 
  • Project title: Orquestra® top 20 – benchmarking optimizers for QCBM 

Phillip Jensen 

  • PhD Student, University of Toronto 
  • Project title: Stay tuned! 

Archismita Dalal 

  • PhD Student, University of Calgary 
  • Project title: Stay tuned!  

Ruizhe Zhang 

Abhinav Anand 

  • PhD Student, University of Toronto 
  • Project title: Stay tuned! 

Sabee Grewal 

  • PhD Student, University of Texas Austin 
  • Project title: Stay tuned! 

Pavan Jayasinha 

  • Undergraduate Student, University of Waterloo 
  • Project title: Efficient training methods for quantum generative models 

Laura Gao 

  • High School Student 
  • Contributions: Quantum Software Team member, expanding QAOA capabilities in Orquestra, initial work on QAOA benchmarking 

2020

2020

Daniel Marti-Dafcik 

  • PhD Student, Oxford University 
  • Project title: Exploration of optimizers for variational quantum algorithms 

Yiqing Zhou 

  • PhD Student, Cornell University 
  • Project title: Improved Bayesian inference module 

Sabee Grewal 

Manuel Rudolph 

Frederic Sauvage 

Kaitlin Gili 

  • PhD Student, Oxford University 
  • Project: Coming soon!  

Daniel Flam-Shepherd 

  • PhD Student, University of Toronto 
  • Project: Reinforcement learning for designing parameterized quantum circuits 

Andrew Pratheepan 

  • Undergraduate Student, University of Ottawa 
  • Contributions: Improvements to Orquestra® 

Ethan Hansen 

  • Undergraduate Student, Case Western Reserve University 
  • Contributions: Orquestra® site and docs, Zapata’s quantum pod, blogs and content creation 

 

2019

2019

Yihui Quek, PhD 

  • Postdoc, University of Berlin 
  • Project title: Grouping techniques for improving measurement overhead for near-term quantum algorithms 

Eric Anschuetz 

  • PhD Student, MIT 
  • Project title: Implementing quantum associative adversarial network (with Cris Zanoci) 

Amir Karamlou 

Cristian Zanoci  

  • PhD Student, MIT 
  • Project title: Quantum circuits for MPS compression (Cris) 

Sukin Sim, PhD 

Tanisha Bassan 

  • Undergraduate Student, University of Toronto 
  • Project title: Numerical investigation of QCBM ansatze and connectivities 

2018

2018

Eric Anschuetz 

Amara Katabarwa, PhD 

Maria Kieferova, PhD 

  • Lecturer at University of Technology Sydney 
  • Project title: Qubit Packing 

Jhonathan Romero, PhD 

Sukin Sim, PhD 

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