[{"content":"","date":"14 July 2026","externalUrl":null,"permalink":"/blog/","section":"Blog","summary":"","title":"Blog","type":"blog"},{"content":"Welcome! This is my new home on the web. I plan to write occasional notes on quantum error correction, qubit readout, machine learning for quantum systems, and whatever else I\u0026rsquo;m tinkering with.\nIn the meantime, check out my publications and research projects.\n","date":"14 July 2026","externalUrl":null,"permalink":"/blog/hello-world/","section":"Blog","summary":"This site now exists. What to expect here.","title":"Hello, world","type":"blog"},{"content":"I am a PhD student in Computer Sciences at the University of Wisconsin–Madison, advised by Prof. Swamit Tannu. My research spans quantum error correction, error mitigation, qubit readout architectures, reinforcement learning, and quantum circuit synthesis.\nPreviously, I completed my M.Tech \u0026amp; B.Tech in Computer Science and Engineering at IIT Bombay (minors in Physics and in AI \u0026amp; Data Science). I am currently a Product Solutions Research Intern at Quantum Machines.\nSee my publications, research projects, or download my CV.\n","date":"14 July 2026","externalUrl":null,"permalink":"/","section":"Home","summary":"I am a PhD student in Computer Sciences at the University of Wisconsin–Madison, advised by Prof. Swamit Tannu. My research spans quantum error correction, error mitigation, qubit readout architectures, reinforcement learning, and quantum circuit synthesis.\nPreviously, I completed my M.Tech \u0026 B.Tech in Computer Science and Engineering at IIT Bombay (minors in Physics and in AI \u0026 Data Science). I am currently a Product Solutions Research Intern at Quantum Machines.\nSee my publications, research projects, or download my CV.\n","title":"Home","type":"page"},{"content":"","date":"14 July 2026","externalUrl":null,"permalink":"/tags/meta/","section":"Tags","summary":"","title":"Meta","type":"tags"},{"content":"","date":"14 July 2026","externalUrl":null,"permalink":"/tags/","section":"Tags","summary":"","title":"Tags","type":"tags"},{"content":"Leaked qubits silently corrupt syndrome extraction and poison decoding in quantum error-correcting codes. This project designs leakage speculation strategies that precisely detect and mitigate leakage errors across QEC codes, plus an adaptive strategy that reduces how long leakage lingers in the code.\nKey results # 16% improvement in logical error rate from speculation-aware decoding. 2–3× reduction in leakage accumulation via adaptive strategies across various QECCs, reducing QEC cycle time. Ongoing follow-up: an efficient ML decoder for the surface code that incorporates leakage speculation and uses adaptive RL to track evolving error profiles. Paper # Accurate Leakage Speculation for Quantum Error Correction Chaithanya Naik Mude, Swamit Tannu. MICRO 2025. [Paper]\nCode # Code available upon request — public release coming soon.\nBibTeX # @inproceedings{mude2025leakage, title = {Accurate Leakage Speculation for Quantum Error Correction}, author = {Mude, Chaithanya Naik and Tannu, Swamit}, booktitle = {58th IEEE/ACM International Symposium on Microarchitecture (MICRO)}, year = {2025}, doi = {10.1145/3725843.3756053} } ","date":"1 October 2025","externalUrl":null,"permalink":"/projects/leakage-speculation/","section":"Projects","summary":"Speculation strategies that detect and mitigate leakage errors in QEC codes — 16% better logical error rate, 2–3× less leakage accumulation.","title":"Adaptive Leakage Detection for Quantum Error Correction","type":"projects"},{"content":"","date":"1 October 2025","externalUrl":null,"permalink":"/tags/decoding/","section":"Tags","summary":"","title":"Decoding","type":"tags"},{"content":"","date":"1 October 2025","externalUrl":null,"permalink":"/tags/leakage/","section":"Tags","summary":"","title":"Leakage","type":"tags"},{"content":"Each project page links the associated papers and code.\n","date":"1 October 2025","externalUrl":null,"permalink":"/projects/","section":"Projects","summary":"Each project page links the associated papers and code.\n","title":"Projects","type":"projects"},{"content":"","date":"1 October 2025","externalUrl":null,"permalink":"/tags/qec/","section":"Tags","summary":"","title":"QEC","type":"tags"},{"content":"","date":"1 June 2025","externalUrl":null,"permalink":"/tags/fpga/","section":"Tags","summary":"","title":"FPGA","type":"tags"},{"content":"","date":"1 June 2025","externalUrl":null,"permalink":"/tags/ml/","section":"Tags","summary":"","title":"ML","type":"tags"},{"content":"","date":"1 June 2025","externalUrl":null,"permalink":"/tags/readout/","section":"Tags","summary":"","title":"Readout","type":"tags"},{"content":"Fast, accurate qubit readout is a bottleneck for scaling superconducting quantum computers. This line of work designs hardware-efficient machine-learning readout architectures that fit on FPGA-class control hardware and extend to multi-level (qutrit+) readout.\nKey results # 16% relative improvement in readout accuracy by identifying relaxations that occur during readout (ISCA 2023). Matched-filter architecture using less than 8% of FPGA resources. 6.6% relative accuracy improvement for multi-level readout with better leakage detection during readout (DAC 2025). Papers # Efficient and Scalable Architectures for Multi-level Superconducting Qubit Readout Chaithanya Naik Mude, Satvik Maurya, Benjamin Lienhard, Swamit Tannu. DAC 2025. [Paper]\nScaling Qubit Readout with Hardware Efficient Machine Learning Architectures Satvik Maurya, Chaithanya Naik Mude, William D. Oliver, Benjamin Lienhard, Swamit Tannu. ISCA 2023. [Paper]\nCode # Code available upon request — public release coming soon.\nBibTeX # @inproceedings{mude2025multilevel, title = {Efficient and Scalable Architectures for Multi-level Superconducting Qubit Readout}, author = {Mude, Chaithanya Naik and Maurya, Satvik and Lienhard, Benjamin and Tannu, Swamit}, booktitle = {62nd Design Automation Conference (DAC)}, year = {2025} } @inproceedings{maurya2023scaling, title = {Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures}, author = {Maurya, Satvik and Mude, Chaithanya Naik and Oliver, William D. and Lienhard, Benjamin and Tannu, Swamit}, booktitle = {50th International Symposium on Computer Architecture (ISCA)}, year = {2023}, doi = {10.1145/3579371.3589042} } ","date":"1 June 2025","externalUrl":null,"permalink":"/projects/multilevel-readout/","section":"Projects","summary":"Hardware-efficient ML architectures for superconducting qubit readout — 16% accuracy gain, matched filters under 8% FPGA resources, 6.6% multi-level improvement.","title":"Scaling Multi-Level Superconducting Qubit Readout with ML","type":"projects"},{"content":"","date":"1 June 2025","externalUrl":null,"permalink":"/tags/superconducting/","section":"Tags","summary":"","title":"Superconducting","type":"tags"},{"content":"Neutral-atom platforms read out qubits by imaging atom fluorescence — a noisy, camera-limited process. This project builds modular and scalable machine-learning models for neutral-atom qubit readout that leverage each site\u0026rsquo;s error profile, and an image-denoising front end that enables fast and accurate readout. Presented at the APS March Meeting 2025.\nKey results # 70× reduction in model size compared to the state-of-the-art solution, at matched accuracy. Matched-filter measurement of neutral-atom qubits (with the Saffman and Gauthier groups), published in Physical Review Applied. Papers # Enabling Fast and Accurate Neutral Atom Readout through Image Denoising Chaithanya Naik Mude, Linipun Phuttitarn, Satvik Maurya, Kunal Sinha, Mark Saffman, Swamit Tannu. Preprint. [arXiv]\nEfficient Measurement of Neutral-Atom Qubits with Matched Filters Robert M. Kent, Linipun Phuttitarn, Chaithanya N. Mude, Swamit Tannu, Mark Saffman, Gregory Lafyatis, Daniel J. Gauthier. Physical Review Applied. [arXiv]\nCode # Code available upon request — public release coming soon.\nBibTeX # @article{mude2025denoising, title = {Enabling Fast and Accurate Neutral Atom Readout through Image Denoising}, author = {Mude, Chaithanya Naik and Phuttitarn, Linipun and Maurya, Satvik and Sinha, Kunal and Saffman, Mark and Tannu, Swamit}, journal = {arXiv preprint arXiv:2504.08170}, year = {2025} } @article{kent2025matched, title = {Efficient Measurement of Neutral-Atom Qubits with Matched Filters}, author = {Kent, Robert M. and Phuttitarn, Linipun and Mude, Chaithanya N. and Tannu, Swamit and Saffman, Mark and Lafyatis, Gregory and Gauthier, Daniel J.}, journal = {Physical Review Applied}, year = {2025} } ","date":"1 April 2025","externalUrl":null,"permalink":"/projects/neutral-atom-readout/","section":"Projects","summary":"Modular, scalable ML models for neutral-atom qubit readout — 70× smaller models than state of the art, plus image denoising for fast, accurate readout.","title":"Enhanced Neutral Atom Readout with ML","type":"projects"},{"content":"","date":"1 April 2025","externalUrl":null,"permalink":"/tags/neutral-atoms/","section":"Tags","summary":"","title":"Neutral Atoms","type":"tags"},{"content":"","date":"1 February 2025","externalUrl":null,"permalink":"/tags/nisq/","section":"Tags","summary":"","title":"NISQ","type":"tags"},{"content":"","date":"1 February 2025","externalUrl":null,"permalink":"/tags/security/","section":"Tags","summary":"","title":"Security","type":"tags"},{"content":"","date":"1 February 2025","externalUrl":null,"permalink":"/tags/side-channels/","section":"Tags","summary":"","title":"Side Channels","type":"tags"},{"content":"When multiple users share a quantum computer, crosstalk leaks information across tenant boundaries. This project designed an attack that deduces confidential user data by exploiting a crosstalk-based side channel on quantum hardware, using a graph neural network to decipher the victim\u0026rsquo;s circuit from the information leak — and examined side-channel vulnerabilities in superconducting qubit readout architectures.\nKey results # Demonstrated circuit-recovery attacks over crosstalk side channels on multi-tenant NISQ computers (NDSS 2025). Characterized side-channel vulnerabilities specific to superconducting readout architectures (QCE 2024). Papers # Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers Navnil Choudhury, Chaithanya Naik Mude, Sanjay Das, Preetham Tikkireddi, Swamit Tannu, Kanad Basu. NDSS 2025. [Paper]\nUnderstanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures Satvik Maurya, Chaithanya Naik Mude, Benjamin Lienhard, Swamit Tannu. QCE 2024. [Paper]\nCode # Code available upon request — public release coming soon.\nBibTeX # @inproceedings{choudhury2025crosstalk, title = {Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers}, author = {Choudhury, Navnil and Mude, Chaithanya Naik and Das, Sanjay and Tikkireddi, Preetham and Tannu, Swamit and Basu, Kanad}, booktitle = {Network and Distributed System Security Symposium (NDSS)}, year = {2025} } @inproceedings{maurya2024sidechannel, title = {Understanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures}, author = {Maurya, Satvik and Mude, Chaithanya Naik and Lienhard, Benjamin and Tannu, Swamit}, booktitle = {IEEE International Conference on Quantum Computing and Engineering (QCE)}, year = {2024} } ","date":"1 February 2025","externalUrl":null,"permalink":"/projects/crosstalk-security/","section":"Projects","summary":"Crosstalk-based side-channel attacks on multi-tenant NISQ hardware — deciphering a victim’s circuit with graph neural networks.","title":"Side-Channel Security in Multi-Tenant Quantum Computers","type":"projects"},{"content":"","date":"1 January 2025","externalUrl":null,"permalink":"/tags/compilation/","section":"Tags","summary":"","title":"Compilation","type":"tags"},{"content":"Ongoing. Quantum compilers re-solve synthesis from scratch for every hardware configuration. This project designs a unified adaptive ML model — built on generative adversarial imitation learning (GAIL) — to optimize Rz/unitary synthesis and quantum compilation for varied, dynamic hardware configurations.\nPaper # Preprint coming.\nCode # Code available upon request — public release coming soon.\n","date":"1 January 2025","externalUrl":null,"permalink":"/projects/quantum-circuit-synthesis/","section":"Projects","summary":"A unified adaptive ML model (GAIL imitation learning) for Rz/unitary synthesis and quantum compilation across dynamic hardware configurations. Ongoing.","title":"ML for Quantum Circuit Synthesis","type":"projects"},{"content":"","date":"1 January 2025","externalUrl":null,"permalink":"/tags/rl/","section":"Tags","summary":"","title":"RL","type":"tags"},{"content":"","date":"1 January 2025","externalUrl":null,"permalink":"/tags/synthesis/","section":"Tags","summary":"","title":"Synthesis","type":"tags"},{"content":"Also on Google Scholar.\nAccurate Leakage Speculation for Quantum Error Correction\nChaithanya Naik Mude, Swamit Tannu\n58th IEEE/ACM International Symposium on Microarchitecture, Seoul, Korea, 2025\nMICRO 2025 [Paper] [Project] Efficient Measurement of Neutral-Atom Qubits with Matched Filters\nRobert M. Kent, Linipun Phuttitarn, Chaithanya N. Mude, Swamit Tannu, Mark Saffman, Gregory Lafyatis, Daniel J. Gauthier\nPhysical Review Applied, 2025\nPhys. Rev. Applied [Paper] [Project] Efficient and Scalable Architectures for Multi-level Superconducting Qubit Readout\nChaithanya Naik Mude, Satvik Maurya, Benjamin Lienhard, Swamit Tannu\n62nd Design Automation Conference, San Francisco, California, USA, 2025\nDAC 2025 [Paper] [Project] Enabling Fast and Accurate Neutral Atom Readout through Image Denoising\nChaithanya Naik Mude, Linipun Phuttitarn, Satvik Maurya, Kunal Sinha, Mark Saffman, Swamit Tannu\narXiv preprint, 2025\nPreprint [Paper] [Project] Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers\nNavnil Choudhury, Chaithanya Naik Mude, Sanjay Das, Preetham Tikkireddi, Swamit Tannu, Kanad Basu\nThe Network and Distributed System Security Symposium, San Diego, California, USA, 2025\nNDSS 2025 [Paper] [Project] Understanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures\nSatvik Maurya, Chaithanya Naik Mude, Benjamin Lienhard, Swamit Tannu\nIEEE International Conference on Quantum Computing and Engineering, Montreal, Quebec, Canada, 2024\nQCE 2024 [Paper] [Project] Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures\nSatvik Maurya, Chaithanya Naik Mude, William D. Oliver, Benjamin Lienhard, Swamit Tannu\n50th International Symposium on Computer Architecture, Orlando, Florida, USA, 2023\nISCA 2023 [Paper] [Project] ","externalUrl":null,"permalink":"/publications/","section":"Home","summary":"Also on Google Scholar.\nAccurate Leakage Speculation for Quantum Error Correction\nChaithanya Naik Mude, Swamit Tannu\n58th IEEE/ACM International Symposium on Microarchitecture, Seoul, Korea, 2025\nMICRO 2025 [Paper] [Project] Efficient Measurement of Neutral-Atom Qubits with Matched Filters\nRobert M. Kent, Linipun Phuttitarn, Chaithanya N. Mude, Swamit Tannu, Mark Saffman, Gregory Lafyatis, Daniel J. Gauthier\nPhysical Review Applied, 2025\nPhys. Rev. Applied [Paper] [Project] Efficient and Scalable Architectures for Multi-level Superconducting Qubit Readout\nChaithanya Naik Mude, Satvik Maurya, Benjamin Lienhard, Swamit Tannu\n62nd Design Automation Conference, San Francisco, California, USA, 2025\nDAC 2025 [Paper] [Project] Enabling Fast and Accurate Neutral Atom Readout through Image Denoising\nChaithanya Naik Mude, Linipun Phuttitarn, Satvik Maurya, Kunal Sinha, Mark Saffman, Swamit Tannu\narXiv preprint, 2025\nPreprint [Paper] [Project] Crosstalk-induced Side Channel Threats in Multi-Tenant NISQ Computers\nNavnil Choudhury, Chaithanya Naik Mude, Sanjay Das, Preetham Tikkireddi, Swamit Tannu, Kanad Basu\nThe Network and Distributed System Security Symposium, San Diego, California, USA, 2025\nNDSS 2025 [Paper] [Project] Understanding Side-Channel Vulnerabilities in Superconducting Qubit Readout Architectures\nSatvik Maurya, Chaithanya Naik Mude, Benjamin Lienhard, Swamit Tannu\nIEEE International Conference on Quantum Computing and Engineering, Montreal, Quebec, Canada, 2024\nQCE 2024 [Paper] [Project] Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures\nSatvik Maurya, Chaithanya Naik Mude, William D. Oliver, Benjamin Lienhard, Swamit Tannu\n50th International Symposium on Computer Architecture, Orlando, Florida, USA, 2023\nISCA 2023 [Paper] [Project] ","title":"Publications","type":"page"}]