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Department of Computer Science and Technology

  • Associate Professor of Computer Architecture

My research interests include quantum architecture, resource estimation and compilation. I was previously a Senior Quantum Systems Architect as part of Microsoft's quantum computing program where I designed the Azure Quantum Resource Estimator to understand the resource needs of practical-scale quantum applications. I graduated with a Computer Science Ph.D. from Princeton University. My PhD research aimed at developing an efficient quantum computing stack to bridge the resources gap between quantum algorithms and hardware that is buildable in the near future. My work has been adopted by several industry compilers, influenced architecture and industry benchmarking practices. My work has been recognized by the ACM SIGARCH/IEEE CS TCCA Outstanding Dissertation Award (2022), Communications of ACM Research Highlights (2022), an IBM PhD fellowship (2021) and an IEEE Micro Top Picks award (2019).

PhD Students

Publications

Assessing requirements to scale to practical quantum advantage.
M. E. Beverland, P. Murali , M. Troyer, K. M. Svore, T. Hoefler, V. Kliuchnikov, G. H. Low, M. Soeken, A. Sundaram, A. Vaschillo
arXiv preprint arXiv:2211.07629, 2022

Toward systematic architectural design of near-term trapped ion quantum computers.
P. Murali , D. M. Debroy, K. R. Brown, M. Martonosi
Communications of the ACM, Research Highlights, 2022

Designing Calibration and Expressivity-Efficient Instruction Sets for Quantum Computing.
L. Lao* P. Murali* , M. Martonosi, and D. Browne. (*joint first authors)
International Symposium on Computer Architecture (ISCA), 2021

Resource-Efficient Quantum Computing by Breaking Abstractions.
Y. Shi, P. Gokhale, P. Murali , J. M. Baker, C. Duckering, Y. Ding, N. C. Brown, C. Chamberland, A. J. Abhari, A. W. Cross, D. I. Schuster, K. R. Brown, M. Martonosi, and F. T. Chong. In Proceedings of the IEEE, June 2020 (invited paper)

Architecting Noisy-Intermediate Scale Quantum Computers: A Real-System Study
P. Murali, N. M. Linke, M. Martonosi, A. J. Abhari, N. H. Nguyen, C. H. Alderete.
IEEE Micro, 40 (3) Top Picks of the 2019 Computer Architecture Conferences, May-June 2020

Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers
P. Murali, D. Debroy, K. Brown and M. Martonosi
International Symposium on Computer Architecture (ISCA), 2020

Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers
P. Murali, D. C. McKay, M. Martonosi and A. J. Abhari
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020

Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights.
P. Murali, N. M. Linke, M. Martonosi, A. J. Abhari, N. H. Nguyen, C. H. Alderete.
International Symposium on Computer Architecture (ISCA), 2019.
Selected as one of the IEEE Micro Top Picks from computer architecture conferences of 2019

Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers.
P. Murali, J. M. Baker, A. J. Abhari, F. T. Chong and M. Martonosi
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2019

For a full list of publications, please see my Google Scholar page

Contact Details

Room: 
SE23
Email: 

pm830@cam.ac.uk