Contributions
Activity
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Introducing our newest Computer Vision Engineer, Dwiref Oza! Super excited to have him join us on our mission to make building visual AI…
Introducing our newest Computer Vision Engineer, Dwiref Oza! Super excited to have him join us on our mission to make building visual AI…
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Check out this amazing new video dataset drop from Hugging Face. I can't recall any dataset that is so rich in sample diversity and metadata. Awesome…
Check out this amazing new video dataset drop from Hugging Face. I can't recall any dataset that is so rich in sample diversity and metadata. Awesome…
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It was a pleasure working with the Segments.ai (YC W21) team to bring this integration to life! Data labeling remains a key part of the AI…
It was a pleasure working with the Segments.ai (YC W21) team to bring this integration to life! Data labeling remains a key part of the AI…
Liked by Jacob Marks
Experience
Education
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Stanford University
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Condensed matter theory (topological matter) and high performance computing at the Stanford Institute for Theoretical Physics (SITP) and Stanford Institute for Materials and Energy Science (SIMES). Coadvised by Prof. Tom Devereaux and Prof. Xiaoliang Qi.
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Activities and Societies: Yale Ventures in Science (President), Yale Scientific Magazine (Writer and Online Editor), Splash at Yale (Teacher), Design for America (DFA), Society for Physics Students (SPS)
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Activities and Societies: Cum Laude Society, Science Olympiad, Architecture for Humanity (President), Cross Country (Captain), Track and Field (Captain)
Publications
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Dynamical signatures of symmetry protected topology following symmetry breaking
Physical Review Research
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Comparison of memory thresholds for planar qudit geometries
New Journal of Physics
We introduce and analyze a new type of decoding algorithm called General Color Clustering (GCC), based on renormalization group methods, to be used in qudit color codes. The performance of this decoder is analyzed under code capacity depolarizing noise, and is used to obtain the first fault-tolerant threshold estimates for qudit color codes. The proposed decoder is compared with similar decoding schemes for qudit surface codes as well as the current leading qubit decoders for both sets of…
We introduce and analyze a new type of decoding algorithm called General Color Clustering (GCC), based on renormalization group methods, to be used in qudit color codes. The performance of this decoder is analyzed under code capacity depolarizing noise, and is used to obtain the first fault-tolerant threshold estimates for qudit color codes. The proposed decoder is compared with similar decoding schemes for qudit surface codes as well as the current leading qubit decoders for both sets of codes. We find that, as with surface codes, clustering performs sub-optimally for qubit color codes, giving a threshold of 5.6% compared to the 8.0% obtained through surface projection decoding methods. However, the threshold rate increases by up to 112% for large qudit dimensions, plateauing around 11.9%. All the analysis is performed using QTop, a new open-source software for simulating and visualizing topological quantum error correcting codes.
Other authorsSee publication
Courses
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Advanced Modern Chinese
CHNS 151
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Advanced Topics in Machine Learning and Data Mining
AMTH 745
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Applied Machine Learning
CPSC 229A
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Computability and Logic
PHIL 427
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Cryptography and Computer Security
CPSC 467
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Design and Analysis of Algorithms
CPSC 365
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Differential Geometry
MATH 830
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General Relativity
PHYSICS 262
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Mathematical Logic
PHIL 267
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Microeconomic Theory
ECON 125
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Parallel Computing
CME 213
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Partial Differential Equations
MATH 247
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Philosophy of Quantum Mechanics
PHIL 443
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Quantum Field Theory
PHYS 330
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Quantum Information and Computation
PHYS 601
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Representation Theory
MATH 353
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Set Theory
MATH 270
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Startup Garage I & II
STRAMGT 356
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Topics in Cooperative Game Theory
ECON 471
Projects
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QTop
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QTop is an open-source python module for simulation and visualization of topological quantum codes. QTop is object-oriented and easy to read, facilitating the addition and assessment of new topological computing architectures, as well as the development of novel decoders.
QTop allows for the simulation of topologies with arbitrary code depth, qudit dimension, and error models. Currently, QTop features Kitaev quantum double models, as well as color codes in 3-regular planar tilings. In…QTop is an open-source python module for simulation and visualization of topological quantum codes. QTop is object-oriented and easy to read, facilitating the addition and assessment of new topological computing architectures, as well as the development of novel decoders.
QTop allows for the simulation of topologies with arbitrary code depth, qudit dimension, and error models. Currently, QTop features Kitaev quantum double models, as well as color codes in 3-regular planar tilings. In the future, I hope to add 3-dimensional color codes, gauge color codes, and more exotic topological systems.
Special thanks to Vlad Gheorghiu for his help with plotting, and Tomas Jochym-O'Connor for help implementing DSP and GCC decoders.
Honors & Awards
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Cum Laude
Yale University
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Howard L Schultz Award
Department of Physics, Yale University
"Awarded to an outstanding senior in the Physics Department"
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Richter Fellowship
Pierson College Richter Fund
Award for independent study and research over the summer.
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Undergraduate Research Award
Institute for Quantum Computing (IQC), University of Waterloo
Scholarship to conduct research in quantum cryptography under the guidance of Dr. Michele Mosca at the Institute for Quantum Computing.
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Goldwater Scholar Honorable Mention
Barry M Goldwater Scholarship
National undergraduate competition for excellence in mathematics, the natural sciences, and engineering.
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Silver Medal Winner, University Physics Competition
5th Annual University Physics Competition
My team of 3 students competed against hundreds of teams from colleges and universities all over the world in The University Physics Competition. Over the period of 48 hours, we analyzed the problem of finding stable orbits for circumbinary planets. Our final product, a formal paper, won us silver medal recognition in the competition.
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Yale Tetelman Research Fellow
Yale University
Awarded fellowship to conduct original research at CERN, Switzerland.
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AAPT Physics Bowl 2nd in Northeast (Team Competition)
American Association of Physics Teachers
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1st place in state, Fermi Analysis
Connecticut Science Olympiad
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1st place in state, Remote Sensing
Connecticut Science Olympiad
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Moody's Mega Math Challenge Scholarship Winner
Moody's Corporation
Worked in a team of 5 students, using applied math to figure out the best solution to the United States' recycling issues. Our team acted as a consulting firm, analyzing various aspects of the problem, and proposing courses of action. We faced over 1000 teams from across the country, and earned a scholarship for placing in the top 5 percent.
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3rd place in state, Thermodynamics
Connecticut Science Olympiad
Languages
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English
Native or bilingual proficiency
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Chinese
Full professional proficiency
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C/C++
Professional working proficiency
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Python
Full professional proficiency
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MATLAB
Professional working proficiency
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LaTeX
Full professional proficiency
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C#
Professional working proficiency
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Mathematica
Full professional proficiency
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