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Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift


May 17, 2022
Kingson Man, Antonio Damasio, Hartmut Neven


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Quantum advantage in learning from experiments


Dec 01, 2021
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean

* 6 pages, 17 figures + 46 page appendix; open-source code available at https://github.com/quantumlib/ReCirq/tree/master/recirq/qml_lfe 

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Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization


Nov 26, 2021
Masoud Mohseni, Daniel Eppens, Johan Strumpfer, Raffaele Marino, Vasil Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven

* 28 pages, 18 figures 

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A quantum algorithm for training wide and deep classical neural networks


Jul 19, 2021
Alexander Zlokapa, Hartmut Neven, Seth Lloyd

* 10 pages + 13 page appendix, 10 figures; code available at https://github.com/quantummind/quantum-deep-neural-network 

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Power of data in quantum machine learning


Nov 03, 2020
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean


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Learnability and Complexity of Quantum Samples


Oct 22, 2020
Murphy Yuezhen Niu, Andrew M. Dai, Li Li, Augustus Odena, Zhengli Zhao, Vadim Smelyanskyi, Hartmut Neven, Sergio Boixo


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TensorFlow Quantum: A Software Framework for Quantum Machine Learning


Mar 06, 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

* 39 pages, 24 figures 

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Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm


Dec 09, 2019
Murphy Yuezhen Niu, Vadim Smelyanskyi, Paul Klimov, Sergio Boixo, Rami Barends, Julian Kelly, Yu Chen, Kunal Arya, Brian Burkett, Dave Bacon, Zijun Chen, Ben Chiaro, Roberto Collins, Andrew Dunsworth, Brooks Foxen, Austin 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 Neill, Chris Quintana, Pedram Roushan, John M. Martinis, Hartmut Neven


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Learning to learn with quantum neural networks via classical neural networks


Jul 11, 2019
Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni

* 12 pages, 4 figures 

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Quantum-Assisted Genetic Algorithm


Jun 24, 2019
James King, Masoud Mohseni, William Bernoudy, Alexandre Fréchette, Hossein Sadeghi, Sergei V. Isakov, Hartmut Neven, Mohammad H. Amin

* 13 pages, 5 figures, presented at AQC 2019 

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