--Work in Progress--
- Adiabatic Quantum Computing
- Barren Plateaus
- Classical Implementation
- Complexity Theory
- Parameterized Quantum Circuits
- Physical Realization of Qubits
- Quantum Annealing
- Quantum Boltzmann machines
- Quantum Classification
- Quantum Clustering
- Quantum Convolutional Neural Networks
- Quantum Generative Adversarial Networks
- Quantum Information and Computing
- Quantum Machine Learning
- Quantum Nearest Neighbors Algorithm
- Quantum Neural Networks
- Quantum Optimization
- Quantum Perceptron
- Quantum Speedup-Advantage-Supremacy
- Simulated Annealing
- Superconducting Qubits
- Unsupervised Learning
- Variational Quantum Algorithms
[Albash & Lidar] Adiabatic Quantum Computing. Reviews of Modern Physics. [Quantum Information and Computing] [Adiabatic Quantum Computing] (Adiabatic Model)
@Article{albash2018adiabatic,
Title = {Adiabatic quantum computation},
Author = {Albash, Tameem and Lidar, Daniel A},
Journal = {Reviews of Modern Physics},
Year = {2018},
Number = {1},
Pages = {015002},
Volume = {90},
Publisher = {APS},
URL = {https://journals.aps.org/rmp/abstract/10.1103/RevModPhys.90.015002}
}
[Andriyash et al] Can quantum Monte Carlo simulate quantum annealing?. arXiv. [Adiabatic Quantum Computing] [Quantum Annealing] [Quantum Monte Carlo] (Adiabatic Model)
@Article{andriyash2017can,
Title = {Can quantum Monte Carlo simulate quantum annealing?},
Author = {Andriyash, Evgeny and Amin, Mohammad H},
Journal = {arXiv preprint arXiv:1703.09277},
Year = {2017},
URL = {https://arxiv.org/abs/1703.09277}
}
[Batle et al] Do multipartite correlations speed up adiabatic quantum computation or quantum annealing?. Quantum Information Processing. [Adiabatic Quantum Computing] [Quantum Annealing] [Quantum Speedup-Advantage-Supremacy] (Adiabatic Model)
@Article{batle2016multipartite,
Title = {Do multipartite correlations speed up adiabatic quantum computation or quantum annealing?},
Author = {Batle, Josep and Ooi, CH Raymond and Farouk, Ahmed and Abutalib, M and Abdalla, S},
Journal = {Quantum Information Processing},
Year = {2016},
Number = {8},
Pages = {3081--3099},
Volume = {15},
Publisher = {Springer},
URL = {https://link.springer.com/article/10.1007/s11128-016-1324-x}
}
[Gaitan & Clark] Ramsey Numbers and Adiabatic Quantum Computing. Physical Review Letters. [Adiabatic Quantum Computing] [Quantum Annealing] [Classical Implementation] (Adiabatic Model)
@Article{gaitan2012ramsey,
Title = {Ramsey numbers and adiabatic quantum computing},
Author = {Gaitan, Frank and Clark, Lane},
Journal = {Physical review letters},
Year = {2012},
Number = {1},
Pages = {010501},
Volume = {108},
Publisher = {APS},
URL = {https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.108.010501}
}
[Altshuler et al] Anderson localization makes adiabatic quantum optimization fail. PNAS. [Adiabatic Quantum Computing] [Quantum Optimization] (Adiabatic Model)
@Article{altshuler2010anderson,
Title = {Anderson localization makes adiabatic quantum optimization fail},
Author = {Altshuler, Boris and Krovi, Hari and Roland, J{\'e}r{\'e}mie},
Journal = {Proceedings of the National Academy of Sciences},
Year = {2010},
Number = {28},
Pages = {12446--12450},
Volume = {107},
Publisher = {National Acad Sciences},
URL = {https://www.pnas.org/content/107/28/12446}
}
[Bravyi & Terhal] Complexity of stoquastic frustration-free Hamiltonians. Siam journal on computing. [Adiabatic Quantum Computing] [Quantum Annealing] (Adiabatic Model)
@Article{bravyi2010complexity,
Title = {Complexity of stoquastic frustration-free Hamiltonians},
Author = {Bravyi, Sergey and Terhal, Barbara},
Journal = {Siam journal on computing},
Year = {2010},
Number = {4},
Pages = {1462--1485},
Volume = {39},
Publisher = {SIAM},
URL = {https://arxiv.org/abs/0806.1746}
}
[Lidar et al] Adiabatic approximation with exponential accuracy for many-body systems and quantum computation. Journal of Mathematical Physics. [Approximation to Adiabatic Theorem] [Adiabatic Quantum Computing] (Adiabatic Model)
@article{lidar2009adiabatic,
title={Adiabatic approximation with exponential accuracy for many-body systems and quantum computation},
author={Lidar, Daniel A and Rezakhani, Ali T and Hamma, Alioscia},
journal={Journal of Mathematical Physics},
volume={50},
number={10},
pages={102106},
year={2009},
publisher={American Institute of Physics}
}[Aharonov et al] Adiabatic quantum computation is equivalent to standard quantum computation. SIAM review. [Adiabatic Quantum Computing] [Adiabatic Simulation] (Adiabatic Model)
@Article{aharonov2008adiabatic,
Title = {Adiabatic quantum computation is equivalent to standard quantum computation},
Author = {Aharonov, Dorit and Van Dam, Wim and Kempe, Julia and Landau, Zeph and Lloyd, Seth and Regev, Oded},
Journal = {SIAM review},
Year = {2008},
Number = {4},
Pages = {755--787},
Volume = {50},
Publisher = {SIAM},
URL = {https://epubs.siam.org/doi/10.1137/080734479}
}
[Battaglia et al] Deterministic and stochastic quantum annealing approaches. Lecture Notes in Physics . [Adiabatic Quantum Computing] [Quantum Annealing] [Simulated Annealing] (Adiabatic Model)
@InCollection{battaglia2005deterministic,
Title = {Deterministic and stochastic quantum annealing approaches},
Author = {Battaglia, Demian and Stella, Lorenzo and Zagordi, Osvaldo and Santoro, Giuseppe E and Tosatti, Erio},
Booktitle = {Quantum Annealing and Other Optimization Methods},
Publisher = {Springer},
Year = {2005},
Pages = {171--206},
URL = {https://link.springer.com/chapter/10.1007%2F11526216_7}
}
[Battaglia et al] Optimization by Quantum Annealing: Lessons from hard 3-SAT cases,. Physical Review E. [Adiabatic Quantum Computing] [Quantum Annealing] [Simulated Annealing] [Quantum Monte Carlo] (Adiabatic Model)
@Article{battaglia2005optimization,
Title = {Optimization by quantum annealing: Lessons from hard satisfiability problems},
Author = {Battaglia, Demian A and Santoro, Giuseppe E and Tosatti, Erio},
Journal = {Physical Review E},
Year = {2005},
Number = {6},
Pages = {066707},
Volume = {71},
Publisher = {APS},
URL = {https://journals.aps.org/pre/abstract/10.1103/PhysRevE.71.066707}
}
[Olivera et al] The complexity of quantum spin systems on a two-dimensional square lattice. Quantum Information & Computing. [Complexity Theory] [Adiabatic Quantum Computing]
@article{oliveira2005complexity,
title={The complexity of quantum spin systems on a two-dimensional square lattice},
author={Oliveira, Roberto and Terhal, Barbara M},
journal={arXiv preprint quant-ph/0504050},
year={2005}
}[Aharonov et al] Adiabatic computation is equivalent to standard quantum computation. arXiv. [Adiabatic Quantum Computing] [Adiabatic Simulation] (Adiabatic Model)
@Article{aharonov2004adiabatic,
Title = {Adiabatic computation is equivalent to standard quantum computation},
Author = {Aharonov, D and van Dam, W and Kempe, J and Landau, Z and Lloyd, S and Regev, O},
Journal = {arXiv preprint quant-ph/0405098},
Year = {2004},
URL = {https://arxiv.org/pdf/quant-ph/0405098.pdf}
}
[Farhi et al] A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem. Science. [Adiabatic Quantum Computing] [Classical Implementation] [Quantum Annealing] (Adiabatic Model)
@Article{farhi2001quantum,
Title = {{A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem}},
Author = {Farhi, Edward and Goldstone, Jeffrey and Gutmann, Sam and Lapan, Joshua and Lundgren, Andrew and Preda, Daniel},
Journal = {Science},
Year = {2001},
Number = {5516},
Pages = {472--475},
Volume = {292},
Publisher = {American Association for the Advancement of Science},
URL = {https://science.sciencemag.org/content/292/5516/472}
}
[Farhi et al] Quantum computation by adiabatic evolution. arXiv. [Adiabatic Quantum Computing] (Adiabatic Model)
@Article{farhi2000quantum,
Title = {Quantum computation by adiabatic evolution},
Author = {Farhi, Edward and Goldstone, Jeffrey and Gutmann, Sam and Sipser, Michael},
Journal = {arXiv preprint quant-ph/0001106},
Year = {2000},
URL = {https://arxiv.org/pdf/quant-ph/0001106.pdf}
}
[Apolloni et al] Quantum stochastic optimization. Stochastic Processes and their Applications. [Adiabatic Quantum Computing] [Quantum Annealing] [Quantum Optimization] (Adiabatic Model)
@Article{apolloni1989quantum,
Title = {Quantum stochastic optimization},
Author = {Apolloni, Bruno and Carvalho, C and De Falco, Diego},
Journal = {Stochastic Processes and their Applications},
Year = {1989},
Number = {2},
Pages = {233--244},
Volume = {33},
Publisher = {Elsevier},
URL = {https://www.sciencedirect.com/science/article/pii/0304414989900409?via%3Dihub}
}
[Cerezo et al] Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits. Nature communications. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{cerezo2021cost,
title={Cost function dependent barren plateaus in shallow parametrized quantum circuits},
author={Cerezo, Marco and Sone, Akira and Volkoff, Tyler and Cincio, Lukasz and Coles, Patrick J},
journal={Nature communications},
volume={12},
number={1},
pages={1--12},
year={2021},
publisher={Nature Publishing Group}
}[Holmes et al ] Connecting ansatz expressibility to gradient magnitudes and barren plateaus. arXiv. [Parameterized Quantum Circuits] [Quantum Neural Networks] [Barren Plateaus] [Quantum Machine Learning]
@article{holmes2021connecting,
title={Connecting ansatz expressibility to gradient magnitudes and barren plateaus},
author={Holmes, Zo{\"e} and Sharma, Kunal and Cerezo, M and Coles, Patrick J},
journal={arXiv preprint arXiv:2101.02138},
year={2021}
}[Patti et al] Entanglement devised barren plateau mitigation. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{patti2020entanglement,
title={Entanglement devised barren plateau mitigation},
author={Patti, Taylor L and Najafi, Khadijeh and Gao, Xun and Yelin, Susanne F},
journal={arXiv preprint arXiv:2012.12658},
year={2020}
}[Skolik et al] Layerwise learning for quantum neural networks. Quantum Machine Intelligence. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{skolik2021layerwise,
title={Layerwise learning for quantum neural networks},
author={Skolik, Andrea and McClean, Jarrod R and Mohseni, Masoud and van der Smagt, Patrick and Leib, Martin},
journal={Quantum Machine Intelligence},
volume={3},
number={1},
pages={1--11},
year={2021},
publisher={Springer}
}[Volkoff & Coles] Large gradients via correlation in random parameterized quantum circuits. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Variational Quantum Algorithms] [Quantum Machine Learning]
@article{volkoff2021large,
title={Large gradients via correlation in random parameterized quantum circuits},
author={Volkoff, Tyler and Coles, Patrick J},
journal={Quantum Science and Technology},
volume={6},
number={2},
pages={025008},
year={2021},
publisher={IOP Publishing}
}[Marrero et al] Entanglement Induced Barren Plateaus. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{marrero2020entanglement,
title={Entanglement induced barren plateaus},
author={Marrero, Carlos Ortiz and Kieferov{\'a}, M{\'a}ria and Wiebe, Nathan},
journal={arXiv preprint arXiv:2010.15968},
year={2020}
}[Pesah et al] Absence of Barren Plateaus in Quantum Convolutional Neural Networks. arXiv. [Barren Plateaus] [Quantum Convolutional Neural Networks] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{pesah2020absence,
title={Absence of barren plateaus in quantum convolutional neural networks},
author={Pesah, Arthur and Cerezo, M and Wang, Samson and Volkoff, Tyler and Sornborger, Andrew T and Coles, Patrick J},
journal={arXiv preprint arXiv:2011.02966},
year={2020}
}[Sharma et al] Trainability of Dissipative Perceptron-Based Quantum Neural Networks. arXiv. [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning] [Barren Plateaus]
@article{sharma2020trainability,
title={Trainability of dissipative perceptron-based quantum neural networks},
author={Sharma, Kunal and Cerezo, Marco and Cincio, Lukasz and Coles, Patrick J},
journal={arXiv preprint arXiv:2005.12458},
year={2020}
}[Wang et al] Noise-Induced Barren Plateaus in Variational Quantum Algorithms. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Variational Quantum Algorithms] [Quantum Machine Learning]
@article{wang2020noise,
title={Noise-induced barren plateaus in variational quantum algorithms},
author={Wang, Samson and Fontana, Enrico and Cerezo, Marco and Sharma, Kunal and Sone, Akira and Cincio, Lukasz and Coles, Patrick J},
journal={arXiv preprint arXiv:2007.14384},
year={2020}
}[Grant et al] An initialization strategy for addressing barren plateaus in parametrized quantum circuits. Quantum. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{grant2019initialization,
title={An initialization strategy for addressing barren plateaus in parametrized quantum circuits},
author={Grant, Edward and Wossnig, Leonard and Ostaszewski, Mateusz and Benedetti, Marcello},
journal={Quantum},
volume={3},
pages={214},
year={2019},
publisher={Verein zur F{\"o}rderung des Open Access Publizierens in den Quantenwissenschaften}
}[McClean et al] Barren plateaus in quantum neural network training landscapes. Nature communications. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{mcclean2018barren,
title={Barren plateaus in quantum neural network training landscapes},
author={McClean, Jarrod R and Boixo, Sergio and Smelyanskiy, Vadim N and Babbush, Ryan and Neven, Hartmut},
journal={Nature communications},
volume={9},
number={1},
pages={1--6},
year={2018},
publisher={Nature Publishing Group}
}[Gaitan & Clark] Ramsey Numbers and Adiabatic Quantum Computing. Physical Review Letters. [Adiabatic Quantum Computing] [Quantum Annealing] [Classical Implementation] (Adiabatic Model)
@Article{gaitan2012ramsey,
Title = {Ramsey numbers and adiabatic quantum computing},
Author = {Gaitan, Frank and Clark, Lane},
Journal = {Physical review letters},
Year = {2012},
Number = {1},
Pages = {010501},
Volume = {108},
Publisher = {APS},
URL = {https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.108.010501}
}
[Matsuda et al] Ground-state statistics from annealing algorithms: quantum versus classical approaches. New Journal of Physics. [Classical Implementation] [Quantum Annealing]
@article{matsuda2009ground,
title={Ground-state statistics from annealing algorithms: quantum versus classical approaches},
author={Matsuda, Yoshiki and Nishimori, Hidetoshi and Katzgraber, Helmut G},
journal={New Journal of Physics},
volume={11},
number={7},
pages={073021},
year={2009},
publisher={IOP Publishing}
}[Martonak et al] Quantum annealing of the traveling-salesman problem. Physical Review E. [Classical Implementation] [Quantum Annealing]
@article{martovnak2004quantum,
title={Quantum annealing of the traveling-salesman problem},
author={Marto{\v{n}}{\'a}k, Roman and Santoro, Giuseppe E and Tosatti, Erio},
journal={Physical Review E},
volume={70},
number={5},
pages={057701},
year={2004},
publisher={APS}
}[Farhi et al] A Quantum Adiabatic Evolution Algorithm Applied to Random Instances of an NP-Complete Problem. Science. [Adiabatic Quantum Computing] [Classical Implementation] [Quantum Annealing] (Adiabatic Model)
@Article{farhi2001quantum,
Title = {{A quantum adiabatic evolution algorithm applied to random instances of an NP-complete problem}},
Author = {Farhi, Edward and Goldstone, Jeffrey and Gutmann, Sam and Lapan, Joshua and Lundgren, Andrew and Preda, Daniel},
Journal = {Science},
Year = {2001},
Number = {5516},
Pages = {472--475},
Volume = {292},
Publisher = {American Association for the Advancement of Science},
URL = {https://science.sciencemag.org/content/292/5516/472}
}
[Arunachalam & de Wolf] Guest column: A survey of quantum learning theory. ACM SIGACT News. [Quantum Machine Learning] [Probably Approximately Correct Learning] [Complexity Theory] (Gate Model)
@Article{arunachalam2017guest,
Title = {Guest column: A survey of quantum learning theory},
Author = {Arunachalam, Srinivasan and de Wolf, Ronald},
Journal = {ACM SIGACT News},
Year = {2017},
Number = {2},
Pages = {41--67},
Volume = {48},
Publisher = {ACM New York, NY, USA},
URL = {https://dl.acm.org/doi/abs/10.1145/3106700.3106710}
}
[Aaronson and Arkhipov] The computational complexity of linear optics. Annual ACM symposium on Theory of computing. [Quantum Speedup-Advantage-Supremacy] [Complexity Theory]
@InProceedings{aaronson2011computational,
Title = {The computational complexity of linear optics},
Author = {Aaronson, Scott and Arkhipov, Alex},
Booktitle = {Proceedings of the forty-third annual ACM symposium on Theory of computing},
Year = {2011},
Pages = {333--342},
Publisher = {Association for Computing Machinery},
URL = {https://dl.acm.org/doi/pdf/10.1145/1993636.1993682}
}
[Olivera et al] The complexity of quantum spin systems on a two-dimensional square lattice. Quantum Information & Computing. [Complexity Theory] [Adiabatic Quantum Computing]
@article{oliveira2005complexity,
title={The complexity of quantum spin systems on a two-dimensional square lattice},
author={Oliveira, Roberto and Terhal, Barbara M},
journal={arXiv preprint quant-ph/0504050},
year={2005}
}[Amaro et al.] Filtering variational quantum algorithms for combinatorial optimization. arXiv. [Variational Quantum Algorithms] [Quantum Optimization] [Parameterized Quantum Circuits]
@article{amaro2021filtering,
title={Filtering variational quantum algorithms for combinatorial optimization},
author={Amaro, David and Modica, Carlo and Rosenkranz, Matthias and Fiorentini, Mattia and Benedetti, Marcello and Lubasch, Michael},
journal={Quantum Science and Technology},
year={2021},
publisher={IOP Publishing}
}
[Benedetti et al] Hardware-efficient variational quantum algorithms for time evolution. Physical Review Research. [Time Evolution (Hamiltonian Simulation)] [Parameterized Quantum Circuits] [Quantum Machine Learning]
@article{benedetti2021hardware,
title={Hardware-efficient variational quantum algorithms for time evolution},
author={Benedetti, Marcello and Fiorentini, Mattia and Lubasch, Michael},
journal={Physical Review Research},
volume={3},
number={3},
pages={033083},
year={2021},
publisher={APS}
}
[Benedetti et al] Variational Inference with a Quantum Computer. Physical Review Applied. [Variational Inference] [Parameterized Quantum Circuits] [Quantum Machine Learning]
@article{benedetti2021variational,
title={Variational inference with a quantum computer},
author={Benedetti, Marcello and Coyle, Brian and Fiorentini, Mattia and Lubasch, Michael and Rosenkranz, Matthias},
journal={Physical Review Applied},
volume={16},
number={4},
pages={044057},
year={2021},
publisher={APS}
}
[Bharti et al] Noisy intermediate-scale quantum (NISQ) algorithms. arXiv. [Variational Quantum Algorithms] [Parameterized Quantum Circuits] [Quantum Optimization] [Quantum Machine Learning] (Gate Model) (Adiabatic Model)
@article{bharti2021noisy,
title={Noisy intermediate-scale quantum (NISQ) algorithms},
author={Bharti, Kishor and Cervera-Lierta, Alba and Kyaw, Thi Ha and Haug, Tobias and Alperin-Lea, Sumner and Anand, Abhinav and Degroote, Matthias and Heimonen, Hermanni and Kottmann, Jakob S and Menke, Tim and others},
journal={arXiv preprint arXiv:2101.08448},
year={2021}
}[Cerezo et al] Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits. Nature communications. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{cerezo2021cost,
title={Cost function dependent barren plateaus in shallow parametrized quantum circuits},
author={Cerezo, Marco and Sone, Akira and Volkoff, Tyler and Cincio, Lukasz and Coles, Patrick J},
journal={Nature communications},
volume={12},
number={1},
pages={1--12},
year={2021},
publisher={Nature Publishing Group}
}[Egger et al] Warm-starting quantum optimization. Quantum. [Quantum Optimization] [Parameterized Quantum Circuits] [Quantum Machine Learning]
@article{egger2021warm,
title={Warm-starting quantum optimization},
author={Egger, Daniel J and Mare{\v{c}}ek, Jakub and Woerner, Stefan},
journal={Quantum},
volume={5},
pages={479},
year={2021},
publisher={Verein zur F{\"o}rderung des Open Access Publizierens in den Quantenwissenschaften}
}[Holmes et al ] Connecting ansatz expressibility to gradient magnitudes and barren plateaus. arXiv. [Parameterized Quantum Circuits] [Quantum Neural Networks] [Barren Plateaus] [Quantum Machine Learning]
@article{holmes2021connecting,
title={Connecting ansatz expressibility to gradient magnitudes and barren plateaus},
author={Holmes, Zo{\"e} and Sharma, Kunal and Cerezo, M and Coles, Patrick J},
journal={arXiv preprint arXiv:2101.02138},
year={2021}
}[Mangini et al] Quantum computing models for artificial neural networks. EPL (Europhysics Letters). [Quantum Neural Networks] [Parameterized Quantum Circuits] [Variational Quantum Algorithms] [Quantum Machine Learning]
@article{mangini2021quantum,
title={Quantum computing models for artificial neural networks},
author={Mangini, Stefano and Tacchino, Francesco and Gerace, Dario and Bajoni, Daniele and Macchiavello, Chiara},
journal={EPL (Europhysics Letters)},
volume={134},
number={1},
pages={10002},
year={2021},
publisher={IOP Publishing}
}[Patti et al] Entanglement devised barren plateau mitigation. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{patti2020entanglement,
title={Entanglement devised barren plateau mitigation},
author={Patti, Taylor L and Najafi, Khadijeh and Gao, Xun and Yelin, Susanne F},
journal={arXiv preprint arXiv:2012.12658},
year={2020}
}[Perez-Salinas et al] One qubit as a Universal Approximant. arXiv. [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{perez2021one,
title={One qubit as a Universal Approximant},
author={P{\'e}rez-Salinas, Adri{\'a}n and L{\'o}pez-N{\'u}{\~n}ez, David and Garc{\'\i}a-S{\'a}ez, Artur and Forn-D{\'\i}az, P and Latorre, Jos{\'e} I},
journal={arXiv preprint arXiv:2102.04032},
year={2021}
}[Plekhanov et al] Variational quantum amplitude estimation. arXiv. [Variational Quantum Algorithms] [Amplitude estimation] [Parameterized Quantum Circuits]
@article{plekhanov2021variational,
title={Variational quantum amplitude estimation},
author={Plekhanov, Kirill and Rosenkranz, Matthias and Fiorentini, Mattia and Lubasch, Michael},
journal={arXiv preprint arXiv:2109.03687},
year={2021}
}
[Schuld et al] Effect of data encoding on the expressive power of variational quantum-machine-learning models. Physical Review A. [Parameterized Quantum Circuits] [Variational Quantum Algorithms] [Quantum Machine Learning]
@article{schuld2021effect,
title={Effect of data encoding on the expressive power of variational quantum-machine-learning models},
author={Schuld, Maria and Sweke, Ryan and Meyer, Johannes Jakob},
journal={Physical Review A},
volume={103},
number={3},
pages={032430},
year={2021},
publisher={APS}
}[Skolik et al] Layerwise learning for quantum neural networks. Quantum Machine Intelligence. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{skolik2021layerwise,
title={Layerwise learning for quantum neural networks},
author={Skolik, Andrea and McClean, Jarrod R and Mohseni, Masoud and van der Smagt, Patrick and Leib, Martin},
journal={Quantum Machine Intelligence},
volume={3},
number={1},
pages={1--11},
year={2021},
publisher={Springer}
}[Volkoff & Coles] Large gradients via correlation in random parameterized quantum circuits. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Variational Quantum Algorithms] [Quantum Machine Learning]
@article{volkoff2021large,
title={Large gradients via correlation in random parameterized quantum circuits},
author={Volkoff, Tyler and Coles, Patrick J},
journal={Quantum Science and Technology},
volume={6},
number={2},
pages={025008},
year={2021},
publisher={IOP Publishing}
}[Gil Vidal & Theis] Input redundancy for parameterized quantum circuits. Frontiers in Physics. [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{gil2020input,
title={Input redundancy for parameterized quantum circuits},
author={Gil Vidal, Francisco Javier and Theis, Dirk Oliver},
journal={Frontiers in Physics},
volume={8},
pages={297},
year={2020},
publisher={Frontiers}
}[Marrero et al] Entanglement Induced Barren Plateaus. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{marrero2020entanglement,
title={Entanglement induced barren plateaus},
author={Marrero, Carlos Ortiz and Kieferov{\'a}, M{\'a}ria and Wiebe, Nathan},
journal={arXiv preprint arXiv:2010.15968},
year={2020}
}[Pesah et al] Absence of Barren Plateaus in Quantum Convolutional Neural Networks. arXiv. [Barren Plateaus] [Quantum Convolutional Neural Networks] [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@article{pesah2020absence,
title={Absence of barren plateaus in quantum convolutional neural networks},
author={Pesah, Arthur and Cerezo, M and Wang, Samson and Volkoff, Tyler and Sornborger, Andrew T and Coles, Patrick J},
journal={arXiv preprint arXiv:2011.02966},
year={2020}
}[Sharma et al] Trainability of Dissipative Perceptron-Based Quantum Neural Networks. arXiv. [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning] [Barren Plateaus]
@article{sharma2020trainability,
title={Trainability of dissipative perceptron-based quantum neural networks},
author={Sharma, Kunal and Cerezo, Marco and Cincio, Lukasz and Coles, Patrick J},
journal={arXiv preprint arXiv:2005.12458},
year={2020}
}[Tacchino et al] Variational Learning for Quantum Artificial Neural Networks. IEEE International Conference on Quantum Computing and Engineering. [Parameterized Quantum Circuits] [Quantum Neural Networks] [Quantum Machine Learning]
@inproceedings{tacchino2020variational,
title={Variational learning for quantum artificial neural networks},
author={Tacchino, Francesco and Barkoutsos, Panagiotis Kl and Macchiavello, Chiara and Gerace, Dario and Tavernelli, Ivano and Bajoni, Daniele},
booktitle={2020 IEEE International Conference on Quantum Computing and Engineering (QCE)},
pages={130--136},
year={2020},
organization={IEEE}
}[Wang et al] Noise-Induced Barren Plateaus in Variational Quantum Algorithms. arXiv. [Barren Plateaus] [Parameterized Quantum Circuits] [Variational Quantum Algorithms] [Quantum Machine Learning]
@article{wang2020noise,
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