Igor L. Markov

Synopsys (Switzerland) — Switzerland

Engineering · Physical Sciences

62h-index15.6kcitations444works2.02yr avg
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Research Topics

VLSI and FPGA Design Techniques(160), VLSI and Analog Circuit Testing(134), Low-power high-performance VLSI design(129), Quantum Computing Algorithms and Architecture(85), Embedded Systems Design Techniques(67)

Publications439 total

Revolution or Hype? Seeking the Limits of Large Models in Hardware Design
2025· 1 cited
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
arXiv (Cornell University)·2024· 4 citedOpen Access
Reevaluating Google’s Reinforcement Learning for IC Macro Placement
Communications of the ACM·2024· 2 citedOpen Access
Personalization for web-based services using offline reinforcement learning
Machine Learning·2024· 3 citedOpen Access
Scalar control of a marine electric drive with a brushless magnetoelectricmotor
Известия высших учебных заведений Электромеханика·2024
Ever more optimized simulations of fermionic systems on a quantum computer
2023· 11 cited
Federated Calibration and Evaluation of Binary Classifiers
Proceedings of the VLDB Endowment·2023
The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement
arXiv (Cornell University)·2023· 5 citedOpen Access
Guest Editor's Introduction: Machine Learning for VLSI Physical Design
ACM Transactions on Design Automation of Electronic Systems·2023· 1 cited
RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition
arXiv (Cornell University)·2023Open Access
Efficient Multi-stage Inference on Tabular Data
arXiv (Cornell University)·2023Open Access
Ever more optimized simulations of fermionic systems on a quantum computer
arXiv (Cornell University)·2023Open Access
Scalable End-to-End ML Platforms: from AutoML to Self-serve
arXiv (Cornell University)·2023· 1 citedOpen Access
Practical Knowledge Distillation: Using DNNs to Beat DNNs
arXiv (Cornell University)·2023· 1 citedOpen Access
Enhancing quantum computer performance via symmetrization
arXiv (Cornell University)·2023· 5 citedOpen Access
Federated Calibration and Evaluation of Binary Classifiers
arXiv (Cornell University)·2022· 1 citedOpen Access
Looper: An End-to-End ML Platform for Product Decisions
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining·2022· 7 cited
Approximating Decision Diagrams for Quantum Circuit Simulation
ACM Transactions on Quantum Computing·2022· 15 citedOpen Access
Detecting Qubit-coupling Faults in Ion-trap Quantum Computers
2022· 7 cited
Data-Driven Mitigation of Adversarial Text Perturbation
arXiv (Cornell University)·2022· 3 citedOpen Access
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Frequent Co-authors

John P. Hayes(9), Andrew B. Kahng(8), Vivek Shende(7), Jarrod A. Roy(7), Saurabh Adya(6), Karem A. Sakallah(6), George F. Viamontes(5), Andrew Caldwell(4), Stefanus Mantik(4), Stephen S. Bullock(3), Aditya K. Prasad(3), Farinaz Koushanfar(3), Mehdi Saeedi(3), Smita Krishnaswamy(3), Miodrag Potkonjak(3), Paul A. Tucker(3), G. Wolfe(3), David Papa(3), Fadi Aloul(3), Arathi Ramani(3)