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

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 

• Masters Student, University of Berlin 
• Project title: ORQVIZ: Visualizing High-Dimensional Landscapes in Variational Quantum Algorithms 

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 

• PhD Student, University of Texas at Austin 
• Project title: Computing ground state properties with early fault-tolerant quantum computers 

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 

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 

• PhD Student, University of Texas Austin 
• Project title: Classical Shadows with Noise

Manuel Rudolph 

• Zapata Quantum Scientist 
• Project title: Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer 

Frederic Sauvage 

• PhD Student, Imperial College London 
• Project: FLIP: A flexible initializer for arbitrarily-sized parametrized quantum circuits 

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 

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 

• PhD Student, MIT 
• Project title: Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor 

Cristian Zanoci  

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

Sukin Sim, PhD 

• Zapata Quantum Research Scientist 
• Project title: Adaptive pruning-based optimization of parameterized quantum circuits 

Tanisha Bassan 

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

Eric Anschuetz 

• PhD Student, MIT 
• Project Title: Variational Quantum Factoring 
• Realizing Quantum Boltzmann Machines Through Eigenstate Thermalization 

Amara Katabarwa, PhD 

• Zapata Senior Quantum Research Scientist 
• Project title: Simulating Errors of a Quantum Device Using Variational Quantum Channels 

Maria Kieferova, PhD 

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

Jhonathan Romero, PhD 

• Zapata Professional Services Lead 
• Project title: Generative Adversarial Quantum Machine Learning for Continuous Distributions 

Sukin Sim, PhD 

• Zapata Quantum Research Scientist 
• Project title: Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum-Classical Algorithms