Awesome Quantum Machine Learning
Quantum Machine Learning is one of the most active areas in Awesome Quantum Computing β 3,300 papers in this collection, evaluated on datasets like MNIST, Fashion-MNIST, CIFAR-10. A strong starting point is "Quantum State Engineering With Josephson-junction Devices".
Datasets & benchmarks
Key papers
- Quantum State Engineering With Josephson-junction Devices (2000)Yuriy Makhlin, Gerd Schoen, Alexander Shnirman25.14
- Supervised Learning With Quantum Enhanced Feature Spaces (2018)Vojtech Havlicek, Antonio D. CΓ³rcoles, Kristan Temme, et al.24.61
- Barren Plateaus In Quantum Neural Network Training Landscapes (2018)Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, et al.24.40
- Noisy Intermediate-scale Quantum (NISQ) Algorithms (2021)Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, et al.23.69
- Quantum Chemistry In The Age Of Quantum Computing (2018)Yudong Cao, Jonathan Romero, Jonathan P. Olson, et al.23.54
- Quantum Circuit Learning (2018)Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa, et al.23.35
- Quantum Convolutional Neural Networks (2018)Iris Cong, Soonwon Choi, Mikhail D. Lukin23.21
- Parameterized Quantum Circuits As Machine Learning Models (2019)Marcello Benedetti, Erika Lloyd, Stefan Sack, et al.22.40
- Strengths And Weaknesses Of Quantum Computing (1997)Charles H. Bennett, Ethan Bernstein, Gilles Brassard, et al.22.24
- Evaluating Analytic Gradients On Quantum Hardware (2018)Maria Schuld, Ville Bergholm, Christian Gogolin, et al.21.96
- Circuit-centric Quantum Classifiers (2018)Maria Schuld, Alex Bocharov, Krysta Svore, et al.21.83
- The Private Classical Capacity And Quantum Capacity Of A Quantum Channel (2003)I. Devetak21.10
- From The Quantum Approximate Optimization Algorithm To A Quantum Alternating Operator Ansatz (2017)Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, et al.21.02
- Power Of Data In Quantum Machine Learning (2020)Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, et al.20.94
- Quantum Annealing With More Than One Hundred Qubits (2013)Sergio Boixo, Troels F. RΓΈnnow, Sergei V. Isakov, et al.20.93
- Quantum Annealing And Analog Quantum Computation (2008)Arnab Das, Bikas K. Chakrabarti20.91
- Determining Eigenstates And Thermal States On A Quantum Computer Using Quantum Imaginary Time Evolution (2019)Mario Motta, Chong Sun, Adrian Teck Keng Tan, et al.20.89
- Optimal Quantum Cloning Machines (1997)N. Gisin, S. Massar20.87
- Quantum Optimization Using Variational Algorithms On Near-term Quantum Devices (2017)Nikolaj Moll, Panagiotis Barkoutsos, Lev S. Bishop, et al.20.84
- On The Theory Of Quantum Secret Sharing (1999)Daniel Gottesman20.56
- Quantum Telecloning And Multiparticle Entanglement (1998)M. Murao, D. Jonathan, M. B. Plenio, et al.20.55
- Quantum Circuits With Many Photons On A Programmable Nanophotonic Chip (2021)J. M. Arrazola, V. Bergholm, K. BrΓ‘dler, et al.20.39
- Observable Measure Of Quantum Coherence In Finite Dimensional Systems (2014)Davide Girolami20.27
- Improving The Security Of Multiparty Quantum Secret Sharing Against Trojan Horse Attack (2005)Fu-Guo Deng, Xi-Han Li, Hong-Yu Zhou, et al.20.24
- A Rigorous And Robust Quantum Speed-up In Supervised Machine Learning (2020)Yunchao Liu, Srinivasan Arunachalam, Kristan Temme20.23
- Tripartite Quantum State Sharing (2003)Andrew M. Lance, Thomas Symul, Warwick P. Bowen, et al.20.17
- Defining And Detecting Quantum Speedup (2014)Troels F. RΓΈnnow, Zhihui Wang, Joshua Job, et al.20.16
- Optimal Universal And State-dependent Quantum Cloning (1997)D. Bruss, D. P. Divincenzo, A. Ekert, et al.20.12
- Variational Ansatz-based Quantum Simulation Of Imaginary Time Evolution (2018)Sam McArdle, Tyson Jones, Suguru Endo, et al.20.09
- All Photonic Quantum Repeaters (2013)Koji Azuma, Kiyoshi Tamaki, Hoi-Kwong Lo20.03
- Quantum Error Mitigation (2022)Zhenyu Cai, Ryan Babbush, Simon C. Benjamin, et al.20.03
- Perspectives Of Quantum Annealing: Methods And Implementations (2019)Philipp Hauke, Helmut G. Katzgraber, Wolfgang Lechner, et al.19.85
- Grover's Quantum Searching Algorithm Is Optimal (1997)Christof Zalka19.48
- Quantum Steering: A Review With Focus On Semidefinite Programming (2016)D. Cavalcanti, P. Skrzypczyk19.45
- Realization Of A Scalable Shor Algorithm (2015)Thomas Monz, Daniel Nigg, Esteban A. Martinez, et al.19.45
- Shor's Quantum Factoring Algorithm On A Photonic Chip (2009)Alberto Politi, Jonathan C. F. Matthews, Jeremy L. O'Brien19.43
- Traffic Flow Optimization Using A Quantum Annealer (2017)Florian Neukart, Gabriele Compostella, Christian Seidel, et al.19.38
- Tight Bounds On Quantum Searching (1996)Michel Boyer, Gilles Brassard, Peter Hoeyer, et al.19.35
- A Simple Quantum Computer (1995)I. L. Chuang, Y. Yamamoto19.23
- Quantum Machine Learning: A Classical Perspective (2017)Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, et al.19.18
- Quantum Secret Sharing Without Entanglement (2002)Guo-Ping Guo, Guang-Can Guo19.09
- Quantum Distribution Of Gaussian Keys With Squeezed States (2000)N. J. Cerf, M. Levy, G. van Assche18.95
- Mathematical Foundation Of Quantum Annealing (2008)Satoshi Morita, Hidetoshi Nishimori18.92
- Quantum Annealing For Industry Applications: Introduction And Review (2021)Sheir Yarkoni, Elena Raponi, Thomas BΓ€ck, et al.18.53
- Harnessing Disordered Quantum Dynamics For Machine Learning (2016)Keisuke Fujii, Kohei Nakajima18.42
- A Generative Modeling Approach For Benchmarking And Training Shallow Quantum Circuits (2018)Marcello Benedetti, Delfina Garcia-Pintos, Oscar Perdomo, et al.18.40
- Thermalizing Quantum Machines: Dissipation And Entanglement (2001)Valerio Scarani, Mario Ziman, Peter Stelmachovic, et al.18.39
- Reinforcement Learning In Different Phases Of Quantum Control (2017)Marin Bukov, Alexandre G. R. Day, Dries Sels, et al.18.33
- Hybrid Quantum Devices And Quantum Engineering (2009)Margareta Wallquist, Klemens Hammerer, Peter Rabl, et al.18.28
- The Expressive Power Of Parameterized Quantum Circuits (2018)Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, et al.18.27
- Implementing The Quantum Von Neumann Architecture With Superconducting Circuits (2011)Matteo Mariantoni, H. Wang, T. Yamamoto, et al.18.22
- Simulating Quantum Many-body Dynamics On A Current Digital Quantum Computer (2019)Adam Smith, M. S. Kim, Frank Pollmann, et al.18.20
- What Is The Computational Value Of Finite Range Tunneling? (2015)Vasil S. Denchev, Sergio Boixo, Sergei V. Isakov, et al.18.06
- Strawberry Fields: A Software Platform For Photonic Quantum Computing (2018)Nathan Killoran, Josh Izaac, NicolΓ‘s Quesada, et al.18.02
- Cryogenic Control Architecture For Large-scale Quantum Computing (2014)J. M. Hornibrook, J. I. Colless, I. D. Conway Lamb, et al.18.00
- Probabilistic Error Cancellation With Sparse Pauli-lindblad Models On Noisy Quantum Processors (2022)Ewout van Den Berg, Zlatko K. Minev, Abhinav Kandala, et al.17.93
- Experimental Realization Of Dicke States Of Up To Six Qubits For Multiparty Quantum Networking (2009)R. Prevedel, G. Cronenberg, M. S. Tame, et al.17.91
- Experimental Signature Of Programmable Quantum Annealing (2012)Sergio Boixo, Tameem Albash, Federico M. Spedalieri, et al.17.89
- Demonstrating A Continuous Set Of Two-qubit Gates For Near-term Quantum Algorithms (2020)B. Foxen, C. Neill, A. Dunsworth, et al.17.85
- Quantum Metropolis Sampling (2009)K. Temme, T. J. Osborne, K. G. Vollbrecht, et al.17.85