Murphy Yuezhen Niu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Quantum Computing

Layered Architecture

Recurrent Neural Networks

Vapnik Chervonenkis Dimension

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Daniel Bochen Tan, Murphy Yuezhen Niu, Craig Gidney
A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing. ISCA (2024)
Daniel Bochen Tan, Murphy Yuezhen Niu, Craig Gidney
A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing. CoRR (2024)
Yulong Dong, Jonathan Gross, Murphy Yuezhen Niu
Optimal Low-Depth Quantum Signal-Processing Phase Estimation. CoRR (2024)
Johannes Bausch, Andrew W. Senior, Francisco J. H. Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin J. Satzinger, Murphy Yuezhen Niu, Sam Blackwell, George Holland, Dvir Kafri, Juan Atalaya, Craig Gidney, Demis Hassabis, Sergio Boixo, Hartmut Neven, Pushmeet Kohli
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network. CoRR (2023)
Yulong Dong, Jonathan Gross, Murphy Yuezhen Niu
Beyond Heisenberg Limit Quantum Metrology through Quantum Signal Processing. CoRR (2022)
Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, Jason Cong
Domain-Specific Quantum Architecture Optimization. CoRR (2022)
Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, Jason Cong
Domain-Specific Quantum Architecture Optimization. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (3) (2022)
Murphy Yuezhen Niu, Andrew M. Dai, Li Li, Augustus Odena, Zhengli Zhao, Vadim Smelyanskyi, Hartmut Neven, Sergio Boixo
Learnability and Complexity of Quantum Samples. CoRR (2020)
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR (2020)
Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang
Recurrent Neural Networks in the Eye of Differential Equations. CoRR (2019)
Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov, Sergio Boixo, Rami Barends, Julian Kelly, Yu Chen, Kunal Arya, Brian Burkett, Dave Bacon, Zijun Chen, Benjamin Chiaro, Roberto Collins, Andrew Dunsworth, Brooks Foxen, Austin G. Fowler, Craig Gidney, Marissa Giustina, Rob Graff, Trent Huang, Evan Jeffrey, David Landhuis, Erik Lucero, Anthony Megrant, Josh Mutus, Xiao Mi, Ofer Naaman, Matthew Neeley, Charles J. Neill, Chris Quintana, Pedram Roushan, John M. Martinis, Hartmut Neven
Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm. CoRR (2019)
Dax Enshan Koh, Murphy Yuezhen Niu, Theodore J. Yoder
Quantum simulation from the bottom up: the case of rebits. CoRR (2017)