Yipeng Huang is an assistant professor and founder with 11 years of experience focused on designing computer architectures for the post–Moore’s Law era. Based at Rutgers and leading Allegory Labs, he blends academic research with entrepreneurial practice to prototype systems-level innovations that anticipate hardware scaling limits. He holds a Ph.D. and a BS (magna cum laude) from Columbia, combining deep theory with engineering chops in computer engineering and economics. Known for translating research into practical platforms, he mentors students and runs a lab that bridges academia and industry. Based in the New York City area, he brings a rare mix of scholarly rigor and hands-on system building to emerging computing challenges.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Columbia University in the City of New York
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Contributions:63 pushes, 2 branches in 4 years 7 months
pythonquantum-computingcircuitsscaleinvoking
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