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ORCIDMurphy Yuezhen Niu
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2020 – today
- 2024
[j2]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 high-accuracy error decoding for quantum processors. Nat. 635(8040): 834-840 (2024)- [c1]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: 325-339 - [i11]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 abs/2404.18369 (2024) - [i10]Yulong Dong, Jonathan Gross, Murphy Yuezhen Niu:
Optimal Low-Depth Quantum Signal-Processing Phase Estimation. CoRR abs/2407.01583 (2024) - [i9]Jasvith Raj Basani, Murphy Yuezhen Niu, Edo Waks:
Universal Logical Quantum Photonic Neural Network Processor via Cavity-Assisted Interactions. CoRR abs/2410.02088 (2024) - 2023
- [i8]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 abs/2310.05900 (2023) - 2022
- [j1]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): 624-637 (2022) - [i7]Wan-Hsuan Lin, Bochen Tan, Murphy Yuezhen Niu, Jason Kimko, Jason Cong:
Domain-Specific Quantum Architecture Optimization. CoRR abs/2207.14482 (2022) - [i6]Yulong Dong, Jonathan Gross, Murphy Yuezhen Niu:
Beyond Heisenberg Limit Quantum Metrology through Quantum Signal Processing. CoRR abs/2209.11207 (2022) - 2020
- [i5]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 abs/2003.02989 (2020) - [i4]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 abs/2010.11983 (2020)
2010 – 2019
- 2019
- [i3]Murphy Yuezhen Niu, Lior Horesh, Isaac Chuang:
Recurrent Neural Networks in the Eye of Differential Equations. CoRR abs/1904.12933 (2019) - [i2]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 abs/1912.04368 (2019) - 2017
- [i1]Dax Enshan Koh, Murphy Yuezhen Niu, Theodore J. Yoder:
Quantum simulation from the bottom up: the case of rebits. CoRR abs/1708.09355 (2017)
Coauthor Index
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