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**单位：**Columbia University

研究方向：quantum computation, algorithms, information, and complexity, with applications to problems in physics, chemistry, and engineering

**About Me**

I am a Ph.D. candidate in the Department of Computer Science at Columbia University, working in theoretical computer science. My advisors are Joseph F. Traub, Alfred V. Aho, and Anargyros Papageorgiou. Previously, I received a master's degree in computer science from Columbia, an honours degree in theoretical physics from the University of Melbourne (thesis completed on fault-tolerant quantum computation), and a bachelor's degree in engineering physics from the University of British Columbia. I have also worked in industry in both software and hardware engineering roles, specializing in embedded systems and performance optimization.

I am currently looking for employment/postdoctoral positions. Please contact me regarding any relevant opportunities.

**Research Interests**

I study quantum computation, algorithms, information, and complexity, with applications to problems in physics, chemistry, and engineering. We seek computational problems and results elucidating where quantum computers have demonstrable advantages over classical algorithms. I am further interested in the mathematical foundations of quantum physics and computation.

In particular, I am currently exploring the ability of quantum computers to provide practical and theoretical advantages for i) the simulation of physical systems and ii) approximately solving hard optimization problems.

**Teaching**

Spring 2015: COMS W4281 - Introduction to Quantum Computing (CVN Teaching Assistant / Guest Lecturer)

Fall 2014: COMS W3251 - Computational Linear Algebra (Teaching Assistant)

Spring 2014: COMS W4281 - Introduction to Quantum Computing (Teaching Assistant)

Summer 2013: SCE N0219 - Programming in C (Instructor)

Academic Year 2008: Physics Undergraduate Laboratory (Lab Instructor)

**Research**

On the Complexity of Hamiltonian Simulation (in preparation)

Stuart Hadfield, Anargyros Papageorgiou

Quantum Algorithms for Scientific Computing and Approximate Optimization

Stuart Hadfield

PhD Dissertation, Department of Computer Science, Columbia University, New York NY (2017)

From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz

Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor G. Rieffel, Davide Venturelli, Rupak Biswas

Poster accepted to Quantum Information Processing Conference (QIP 2018), Delft, Netherlands (2018)

Talk accepted to APS March Meeting, New Orleans (2017)

The Quantum Approximate Optimization Algorithm for MaxCut: A Fermionic View

Zhihui Wang, Stuart Hadfield, Zhang Jiang, Eleanor G. Rieffel

Physical Review A (to appear, 2018)

Poster accepted to Southwest Quantum Information and Technology Workshop (SQuINT), Baton Rouge LA (2017)

Quantum Approximate Optimization with Hard and Soft Constraints

Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor G. Rieffel, Davide Venturelli, Rupak Biswas

Proceedings of the 2nd International Workshop on Post Moore's Era Supercomputing (PMES17), Denver CO (2017)

Divide-and-Conquer Approach for Quantum Hamiltonian Simulation (in preparation)

Stuart Hadfield, Anargyros Papageorgiou

Poster presented at Quantum Information Processing Conference (QIP 2017), Seattle WA (2017)

Talk given at APS March Meeting, New Orleans (2017)