Samuel Tan Email & Phone Number
@caltech.edu
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Who is Samuel Tan? Overview
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Samuel Tan is listed as Quantum Computing Research Assistant at University of Maryland, based in College Park, Maryland, United States. AeroLeads shows a work email signal at caltech.edu and a matched LinkedIn profile for Samuel Tan.
Samuel Tan previously worked as Quantum Research Fellow at Los Alamos National Laboratory and Quantum Computing Research Assistant at Caltech. Samuel Tan holds Doctor Of Philosophy - Phd, Computer Science (Quantum Computing) from University Of Maryland.
Email format at University of Maryland
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AeroLeads found 1 current-domain work email signal for Samuel Tan. Compare company email patterns before reaching out.
About Samuel Tan
To live, innovate and design
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Samuel Tan work experience
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Quantum Computing Research Assistant
CurrentProject 1:(Mentored by Prof. Daniel Gottesman) • Working on logical gates for quantum LDPC codesProject 2:(Mentored by Prof. Murphy Yuezhen Niu)• Working on quantum metrology algorithm using quantum signal processing• Co-author for the manuscript, "Signal-Processing Phase Estimation against Time-dependent Errors", accepted as a talk at the 19th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2024)
Quantum Research Fellow
CurrentProject 1:(Mentored by Yiğit Subaşı and Andrew Sornborger) • Used classical signal analysis techniques and Lagrange optimization to find optimal tapers for the quantum phase estimation algorithm• First author for the paper, "Optimal Coherent Quantum Phase Estimation via Tapering", presented as a talk at APS March Meeting 2024Project 2:(Mentored by Yiğit Subaşı and Sam Slezak)• Working on fixing the quantum metropolis sampling algorithm by exploring new strategies to achieve quantum detailed balance
Quantum Computing Research Assistant
Project 1:(Mentored by Prof. John Preskill and Chris Pattison) • Analyzed the resilience of surface codes against cosmic rays and estimated the teraquop footprint• First author for the paper "Resilience of the surface code to error bursts" submitted to Physical Review A• Poster presented at the 6th International Conference on Quantum Error Correction (QEC 2023)
Quantum Computing Research Assistant
Project 1: (Mentored by Prof. Matthew Coudron)• Reviewed construction of block-encodings and syntheses used in the simulation of low-depth 3D quantum circuits• Acknowledged in the paper, "Quasi-polynomial time approximation of output probabilities of geometrically-local, shallow quantum circuits", accepted as a talk at the 24th Annual Conference on Quantum Information Processing (QIP 2021) and published in the IEEE Symposium on Foundations of Computer Science (FOCS)Project 2:(Mentored by Prof. Matthew Coudron)• Extended quasi-polynomial time classical algorithm in Project 1 (above) to simulate low-depth geometrically-local quantum circuits with any arbitrary fixed number of dimensions• Poster presented at the 25th Annual Conference on Quantum Information Processing (QIP 2022)• First author for the paper, "Approximating Output Probabilities of Shallow Quantum Circuits which are Geometrically-local in any Fixed Dimension", accepted for a talk and publication in the proceedings for the 17th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2022)
Algorithms Research Assistant
Project 1:(Mentored by Prof. Sara Mathieson)• Validated and optimized thread, an algorithm to reconstruct the genomes of ancient individuals from the endogamous Amish population• Co-authored publication in PLOS Computational Biology• Presented poster in the 25th International Conference on Research in Computational Molecular Biology (RECOMB 2021) and the 8th International Conference on Algorithms for Computational Biology (AlCoB 2021)Project 2:(Mentored by Prof. Sara Mathieson)• Developed kNN-inspired algorithm to perform pedigree-aware identical-by-descent segment finding• First author and presenter for poster abstract published in the 13th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2022) Conference Proceedings• First author manuscript submitted to the 32nd International Conference on Intelligent Systems for Molecular Biology (ISMB 2024)
Physics Teaching Assistant
• Hold weekly office hours for 40 students to answer conceptual/homework questions for PHYS H213 Waves and Optics, PHYS H214 Introductory Quantum Mechanics, and PHYS H302 Advanced Quantum Mechanics
Computer Science Teaching Assistant
• Hold office hours for CMSC B340 Analysis of Algorithms, CMSC H345 Theory of Computation, and CMSC H311 Computer Security: Attacks and Defenses• Helped to develop the first Computer Security course (CMSC H311 Computer Security: Attacks and Defenses) at Haverford College
Math Question Center Tutor
• Run the Math Question Center (MQC) and assist students with questions related to single and multivariable calculus, linear algebra, probability, abstract algebra, and real analysis.• Facilitate mathematical discussions and homework collaborations between students to improve their understanding of mathematics
Calculus Teaching Assistant
• Run the Calculus Resource Center (CRC) and assist students with questions related to single and multivariable calculus• Grade homework submissions and provide feedback on solutions
Peer Tutor
• Provide additional academic help and guidance to Haverford College students in the following classes: PHYS H105, PHYS H106, PHYS H115, MATH H215, CMSC H105, and CMSC H107
Assistant Platoon Commander (1St Lieutenant)
I was a Logistics Instructor at the School of Logistics within the Army Logistics Training Institute. • Designed and implemented the Inventory Management Cards, a system which changed the way the military logistics training will be conducted (Awarded the Singapore Armed Forces Army Learning Innovation Award after it was implemented at all Army Training Institutes) • Trained over 100 officer cadets into competent logistics officer• Revised the Battalion Logistics Curriculum (Lesson Plans, Education Powerpoint, Worksheets and Answers, Exercise Files)• Incorporated new technology like the Army Virtual Battlespace to provide enhanced realism and integration to logistics training• Planned and conducted local and overseas military exercises
Samuel Tan education
Doctor Of Philosophy - Phd, Computer Science (Quantum Computing)
Bachelor Of Arts - Ba, Computer Science, Mathematics, And Physics
Submatriculation In Accelerated Master Of Science In Engineering, Computer Science
Singapore-Gce 'A' Levels, Bicultural Studies Programme
Frequently asked questions about Samuel Tan
Quick answers generated from the profile data available on this page.
What company does Samuel Tan work for?
Samuel Tan works for University of Maryland.
What is Samuel Tan's role at University of Maryland?
Samuel Tan is listed as Quantum Computing Research Assistant at University of Maryland.
What is Samuel Tan's email address?
AeroLeads has found 1 work email signal at @caltech.edu for Samuel Tan at University of Maryland.
Where is Samuel Tan based?
Samuel Tan is based in College Park, Maryland, United States while working with University of Maryland.
What companies has Samuel Tan worked for?
Samuel Tan has worked for University Of Maryland, Los Alamos National Laboratory, Caltech, Haverford College, and Singapore Armed Forces (Saf).
How can I contact Samuel Tan?
You can use AeroLeads to view verified contact signals for Samuel Tan at University of Maryland, including work email, phone, and LinkedIn data when available.
What schools did Samuel Tan attend?
Samuel Tan holds Doctor Of Philosophy - Phd, Computer Science (Quantum Computing) from University Of Maryland.
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