Fetching the paper…
Reading the bibliography…
Optimizing parameterized quantum circuits (PQCs) is the leading approach to make use of near-term quantum computers.
David P DiVincenzo, Debbie W Leung, and Barbara M Terhal, “Quantum data hiding,” IEEE Transactions on Information Theory 48
2002
Earlier work this paper cites.
2004
Earlier work this paper cites.
2005
Earlier work this paper cites.
Sangjin Sim, Jeongwan Jin, and Younghun Kwon, “Best fidelity conditions for three party quantum teleportation,” International Journal of Theoretical Physics 44
2005
Earlier work this paper cites.
David Gross, Koenraad Audenaert, and Jens Eisert, “Evenly distributed unitaries: On the structure of unitary designs,” Journal of mathematical physics 48
2007
Earlier work this paper cites.
Christoph Dankert, Richard Cleve, Joseph Emerson, and Etera Livine, “Exact and approximate unitary 2-designs and their application to fidelity estimation,” Physical Review A 80
2009
Earlier work this paper cites.
2010
Earlier work this paper cites.
Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J Love, Alán Aspuru-Guzik, and Jeremy L O’brien, “A variational eigenvalue solver on a photonic quantum processor,” Nature communications 5
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Maria Schuld, Ilya Sinayskiy, and Francesco Petruccione, “The quest for a quantum neural network,” Quantum Information Processing 13
2014
Earlier work this paper cites.
Peter Janotta and Haye Hinrichsen, “Generalized probability theories: what determines the structure of quantum theory?” Journal of Physics A: Mathematical and Theoretical 47
2014
Earlier work this paper cites.
Jarrod R McClean, Jonathan Romero, Ryan Babbush, and Alán Aspuru-Guzik, “The theory of variational hybrid quantum-classical algorithms,” New Journal of Physics 18
2016
Earlier work this paper cites.
Fernando GSL Brandao, Aram W Harrow, and Michał Horodecki, “Local random quantum circuits are approximate polynomial-designs,” Communications in Mathematical Physics 346
2016
Earlier work this paper cites.
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd, “Quantum machine learning,” Nature 549
2017
Earlier work this paper cites.
Daniel A Roberts and Beni Yoshida, “Chaos and complexity by design,” Journal of High Energy Physics 2017
2017
Earlier work this paper cites.
John Preskill, “Quantum computing in the nisq era and beyond,” Quantum 2
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, Ryan Babbush, and Hartmut Neven, “Barren plateaus in quantum neural network training landscapes,” Nature communications 9
2018
Earlier work this paper cites.
Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa, and Keisuke Fujii, “Quantum circuit learning,” Physical Review A 98
2018
Earlier work this paper cites.
Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T Sornborger, and Patrick J Coles, “Quantum-assisted quantum compiling,” Quantum 3
2019
Earlier work this paper cites.
Ryan LaRose, Arkin Tikku, Étude O’Neel-Judy, Lukasz Cincio, and Patrick J Coles, “Variational quantum state diagonalization,” npj Quantum Information 5
2019
Earlier work this paper cites.
Andrew Arrasmith, Lukasz Cincio, Andrew T Sornborger, Wojciech H Zurek, and Patrick J Coles, “Variational consistent histories as a hybrid algorithm for quantum foundations,” Nature communications 10
2019
Cited alongside, same era.
Iris Cong, Soonwon Choi, and Mikhail D Lukin, “Quantum convolutional neural networks,” Nature Physics 15
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Suguru Endo, Zhenyu Cai, Simon C Benjamin, and Xiao Yuan, “Hybrid quantum-classical algorithms and quantum error mitigation,” Journal of the Physical Society of Japan 90
2021
Closest in time.
Amira Abbas, David Sutter, Christa Zoufal, Aurélien Lucchi, Alessio Figalli, and Stefan Woerner, “The power of quantum neural networks,” Nature Computational Science 1
2021
Closest in time.
Aram W Harrow and John C Napp, “Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms,” Physical Review Letters 126
2021
Closest in time.
AV Uvarov and Jacob D Biamonte, “On barren plateaus and cost function locality in variational quantum algorithms,” Journal of Physics A: Mathematical and Theoretical 54
2021
Closest in time.
Taylor L Patti, Khadijeh Najafi, Xun Gao, and Susanne F Yelin, “Entanglement devised barren plateau mitigation,” Physical Review Research 3
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2019
Cited alongside, same era.
Edward Grant, Leonard Wossnig, Mateusz Ostaszewski, and Marcello Benedetti, “An initialization strategy for addressing barren plateaus in parametrized quantum circuits,” Quantum 3
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran, “Evaluating analytic gradients on quantum hardware,” Physical Review A 99
2019
Cited alongside, same era.
2020
Cited alongside, same era.
Cristina Cirstoiu, Zoe Holmes, Joseph Iosue, Lukasz Cincio, Patrick J Coles, and Andrew Sornborger, “Variational fast forwarding for quantum simulation beyond the coherence time,” npj Quantum Information 6
2020
Cited alongside, same era.
Kerstin Beer, Dmytro Bondarenko, Terry Farrelly, Tobias J. Osborne, Robert Salzmann, Daniel Scheiermann, and Ramona Wolf, “Training deep quantum neural networks,” Nature Communications 11
2020
Cited alongside, same era.
Jonas M Kübler, Andrew Arrasmith, Lukasz Cincio, and Patrick J Coles, “An adaptive optimizer for measurement-frugal variational algorithms,” Quantum 4
2020
Cited alongside, same era.
2021
Closest in time.
Samson Wang, Enrico Fontana, Marco Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, and Patrick J Coles, “Noise-induced barren plateaus in variational quantum algorithms,” Nature Communications 12
2021
Closest in time.
Tyler Volkoff and Patrick J Coles, “Large gradients via correlation in random parameterized quantum circuits,” Quantum Science and Technology 6
2021
Closest in time.
Andrea Skolik, Jarrod R McClean, Masoud Mohseni, Patrick van der Smagt, and Martin Leib, “Layerwise learning for quantum neural networks,” Quantum Machine Intelligence 3
2021
Closest in time.
Arthur Pesah, M. Cerezo, Samson Wang, Tyler Volkoff, Andrew T Sornborger, and Patrick J Coles, “Absence of barren plateaus in quantum convolutional neural networks,” Physical Review X 11
2021
Closest in time.
Kishor Bharti and Tobias Haug, “Quantum-assisted simulator,” Physical Review A 104
2021
Closest in time.
2021
Closest in time.
2021
Closest in time.
2021
Closest in time.
M. Cerezo and Patrick J Coles, “Higher order derivatives of quantum neural networks with barren plateaus,” Quantum Science and Technology 6
2021
Closest in time.
Andrew Arrasmith, M. Cerezo, Piotr Czarnik, Lukasz Cincio, and Patrick J Coles, “Effect of barren plateaus on gradient-free optimization,” Quantum 5
2021
Closest in time.
Zoë Holmes, Andrew Arrasmith, Bin Yan, Patrick J Coles, Andreas Albrecht, and Andrew T Sornborger, “Barren plateaus preclude learning scramblers,” Physical Review Letters 126
2021
Closest in time.
2021
Closest in time.
Kouhei Nakaji and Naoki Yamamoto, “Expressibility of the alternating layered ansatz for quantum computation,” Quantum 5
2021
Closest in time.
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S Kottmann, Tim Menke, et al. , “Noisy intermediate-scale quantum algorithms,” Reviews of Modern Physics 94
2022
Closest in time.
Zoë Holmes, Kunal Sharma, M. Cerezo, and Patrick J Coles, “Connecting ansatz expressibility to gradient magnitudes and barren plateaus,” PRX Quantum 3
2022
Closest in time.