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Universal variational quantum computation

Jacob Biamonte*

  • Skolkovo Institute of Science and Technology, 3 Nobel Street, Moscow 121205, Russia

Mitigating quantum gate errors for variational eigensolvers using hardware-inspired zero-noise extrapolation

Alexey Uvarov, Daniil Rabinovich, Olga Lakhmanskaya, Kirill Lakhmanskiy, Jacob Biamonte, and Soumik Adhikary

Phys. Rev. A 110 012404 (2024)

Probabilistic tensor optimization of quantum circuits for the max−k−cut problem

G. V. Paradezhenko, A. A. Pervishko, and D. Yudin

Phys. Rev. A 109 012436 (2024)

Robustness of optimized numerical estimation schemes for noisy variational quantum algorithms

Y. S. Teo

Phys. Rev. A 109 012620 (2024)

Robustness of variational quantum algorithms against stochastic parameter perturbation

Daniil Rabinovich, Ernesto Campos, Soumik Adhikary, Ekaterina Pankovets, Dmitry Vinichenko, and Jacob Biamonte

Phys. Rev. A 109 042426 (2024)

Legget-Garg inequality for a two-mode entangled bosonic system

Joanna K. Kalaga, Anna Kowalewska-Kudłaszyk, Wiesław Leoński, and Jan Peřina

Opt. Express 32 9946 (2024)

Trainability issues in quantum policy gradients

André Sequeira, Luis Paulo Santos, and Luis Soares Barbosa

Mach. Learn.: Sci. Technol. 5 035037 (2024)

Insight into Quantum Computing and Deep Learning Approach for Drug Design

Deepika Paliwal, Siva Naga Koteswara Rao Gudhanti, Devdhar Yadav, and Prince Raj

LDDD 21 1632 (2024)

Quantum-Assisted Open-Pit Optimization

G. Paradezhenko, A. Pervishko, and D. Yudin

Jetp Lett. 119 470 (2024)

Mitigating Barren Plateaus of Variational Quantum Eigensolvers

Xia Liu, Geng Liu, Hao-Kai Zhang, Jiaxin Huang, and Xin Wang

IEEE Trans. Quantum Eng. 5 1 (2024)

Quantum Imitation Learning

Zhihao Cheng, Kaining Zhang, Li Shen, and Dacheng Tao

IEEE Trans. Neural Netw. Learning Syst. 35 14190 (2024)

No title available

Taehee Ko, Xiantao Li, and Chunhao Wang

Hybrid quantum-classical solution for electric vehicle charger placement problem

Poojith U. Rao and Balwinder Sodhi

Soft Comput 27 13347 (2023)

Quantum-resistance in blockchain networks

Marcos Allende, Diego López León, Sergio Cerón, Adrián Pareja, Erick Pacheco, Antonio Leal, Marcelo Da Silva, Alejandro Pardo, Duncan Jones, David J. Worrall, Ben Merriman, Jonathan Gilmore, Nick Kitchener, and Salvador E. Venegas-Andraca

Sci Rep 13 5664 (2023)

Towards solving the BCS Hamiltonian gap in near-term quantum computers

Nahum Sá, Ivan S. Oliveira, and Itzhak Roditi

Results in Physics 44 106131 (2023)

The barren plateaus of quantum neural networks: review, taxonomy and trends

Han Qi, Lei Wang, Hongsheng Zhu, Abdullah Gani, and Changqing Gong

Quantum Inf Process 22 435 (2023)

Characterization of variational quantum algorithms using free fermions

Gabriel Matos, Chris N. Self, Zlatko Papić, Konstantinos Meichanetzidis, and Henrik Dreyer

Quantum 7 966 (2023)

Exponential data encoding for quantum supervised learning

S. Shin, Y. S. Teo, and H. Jeong

Phys. Rev. A 107 012422 (2023)

Virtual distillation with noise dilution

Yong Siah Teo, Seongwook Shin, Hyukgun Kwon, Seok-Hyung Lee, and Hyunseok Jeong

Phys. Rev. A 107 022608 (2023)

Optimized numerical gradient and Hessian estimation for variational quantum algorithms

Y. S. Teo

Phys. Rev. A 107 042421 (2023)

Mitigating barren plateaus with transfer-learning-inspired parameter initializations

Huan-Yu Liu, Tai-Ping Sun, Yu-Chun Wu, Yong-Jian Han, and Guo-Ping Guo

New J. Phys. 25 013039 (2023)

Tensor Train Optimization of Parameterized Quantum Circuits

G. Paradezhenko, A. Pervishko, and D. Yudin

Jetp Lett. 118 938 (2023)

Partitioning Quantum Chemistry Simulations with Clifford Circuits

Philipp Schleich, Joseph Boen, Lukasz Cincio, Abhinav Anand, Jakob S. Kottmann, Sergei Tretiak, Pavel A. Dub, and Alán Aspuru-Guzik

J. Chem. Theory Comput. 19 4952 (2023)

The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs

Muhammad Kashif and Saif Al-Kuwari

International Journal of Parallel, Emergent and Distributed Systems 38 362 (2023)

Solving the Fully Entangled Fraction on Near-Term Quantum Devices

Xiao-Qi Liu, Yue-Di Qu, Jing Wang, Ming Li, and Shu-Qian Shen

Int J Theor Phys 62 69 (2023)

Quantum distributed deep learning architectures: Models, discussions, and applications

Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Jihong Park, Minseok Choi, Soyi Jung, and Joongheon Kim

ICT Express 9 486 (2023)

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