Variational quantum eigensolver with fewer qubits

Cited by (167)

Items 101–167 of 167

1. Differentiating and Integrating ZX Diagrams with Applications to Quantum Machine Learning
   Quanlong Wang, Richie Wai Kit Yeung, Mark E. Koch · 2024 · Quantum
2. Noise reduction using past causal cones in variational quantum algorithms
   Omar Shehab, Isaac H. Kim, Nhung H. Nguyen, K. A. Landsman, C. Huerta Alderete, Daiwei Zhu, Christopher R. Monroe, Norbert M. Linke · 2019 · arXiv (Cornell University)
3. Energy levels estimation on a quantum computer by evolution of a physical quantity
   Kh. P. Gnatenko, H. P. Laba, V. M. Tkachuk · 2021 · Physics Letters A
4. Variational quantum eigensolver ansatz for the J1−J2 -model
   Verena Feulner, Michael J. Hartmann · 2022 · Physical review. B./Physical review. B
5. An RNN–policy gradient approach for quantum architecture search
   Gang Wang, Bang-Hai Wang, Shao-Ming Fei · 2024 · Quantum Information Processing
6. Experimental implementation of a qubit-efficient variational quantum eigensolver with analog error mitigation on a superconducting quantum processor
   Yuwei Ma, Weiting Wang, Xianghao Mu, Weizhou Cai, Ziyue Hua, Xiaoxuan Pan, Dong‐Ling Deng, Re-Bing Wu, Chang‐Ling Zou, Lei Wang et al. · 2025 · Science China Physics Mechanics and Astronomy
7. Fingerprinting-Based Indoor Localization With Hybrid Quantum-Deep Neural Network
   Paulson Eberechukwu Numan, Minsoo Jeong, Hyunwoo Park, Sang Won Choi, Sunwoo Kim · 2023 · IEEE Access
8. Universal imaginary-time critical dynamics on a quantum computer
   Shi‐Xin Zhang, Shuai Yin · 2024 · Physical review. B./Physical review. B
9. Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems
   Qiang Miao, Thomas Barthel · 2025 · Quantum
10. Variational Adiabatic Transport of Tensor Networks
    Hyeongjin Kim, Matthew Fishman, Dries Sels · 2024 · PRX Quantum
11. Exponential qubit reduction in optimization for financial transaction settlement
    Elias X. Huber, Benjamin Y. L. Tan, Paul Griffin, Dimitris G. Angelakis · 2024 · EPJ Quantum Technology
12. Concurrent quantum eigensolver for multiple low-energy eigenstates
    Guanglei Xu, Yang Guo, Xishun Li, K. Wang, Z. Fan, Zhenjing Zhou, Haijun Liao, Tao Xiang · 2023 · Physical Review A
13. Theory of chemical bonds in metalloenzymes XXIV electronic and spin structures of FeMoco and Fe-S clusters by classical and quantum computing
    Koichi Miyagawa, Mitsuo Shoji, Hiroshi Isobe, Shusuke Yamanaka, Takashi Kawakami, Mitsutaka Okumura, Kizashi Yamaguchi · 2020 · Molecular Physics
14. Improving the performance of digitized counterdiabatic quantum optimization via algorithm-oriented qubit mapping
    Yanjun Ji, Kathrin F. Koenig, Ilia Polian · 2024 · Physical Review A
15. Multi-state quantum simulations via model-space quantum imaginary time evolution
    Takashi Tsuchimochi, Yoohee Ryo, Siu Chung Tsang, Seiichiro Ten‐no · 2023 · npj Quantum Information
16. Optimal parameter configurations for sequential optimization of the variational quantum eigensolver
    Katsuhiro Endo, Yuki Sato, Rudy Raymond, Kaito Wada, Naoki Yamamoto, Hiroshi C Watanabe · 2023 · Physical Review Research
17. Machine-learning insights into the entanglement-trainability correlation of parametrized quantum circuits
    Shikun Zhang, Yang Zhou, Zheng Qin, Rui Li, Chunxiao Du, Zhisong Xiao, Yongyou Zhang · 2025 · Physical Review A
18. Detection of energy levels of a spin system on a quantum computer by probe spin evolution
    Kh. P. Gnatenko, H. P. Laba, V. M. Tkachuk · 2022 · The European Physical Journal Plus
19. Modular Cluster Circuits for the Variational Quantum Eigensolver
    Seyed Ehsan Ghasempouri, Gerhard W. Dueck, Stijn De Baerdemacker · 2023 · The Journal of Physical Chemistry A
20. Multi‐Party Quantum Key Distribution Using Variational Quantum Eigensolvers
    Shyam R. Sihare · 2023 · Advanced Quantum Technologies
21. Generation of photonic tensor network states with circuit QED
    Zhi-Yuan Wei, J. I. Cirac, Daniel Malz · 2022 · Physical Review A
22. Quantum simulation of negative hydrogen ion using varia-tional quantum eigensolver on IBM quantum computer
    Shubham Kumar, Rahul Singh, Bikash K. Behera, Prasanta Kumar Panigrahi · 2019 · arXiv (Cornell University)
23. Variational quantum eigensolver with embedded entanglement using a tensor-network ansatz
    Ryo Watanabe, Keisuke Fujii, Hiroshi Ueda · 2024 · Physical Review Research
24. Quantum algorithm for the calculation of transition amplitudes in hybrid tensor networks
    Shu Kanno, Suguru Endo, Yasunari Suzuki, Yuuki Tokunaga · 2021 · Physical Review A
25. Resource-efficient generalized quantum subspace expansion
    Bo Yang, Nobuyuki Yoshioka, Hiroyuki Harada, Shigeo Hakkaku, Yuuki Tokunaga, Hideaki Hakoshima, Kaoru Yamamoto, Suguru Endo · 2025 · Physical Review Applied
26. Sequential quantum simulation of spin chains with a single circuit QED device
    Yuxuan Zhang, Shahin Jahanbani, Ameya Riswadkar, Shyam Shankar, Andrew C. Potter · 2024 · Physical Review A
27. Efficient Parameterised Compilation for Hybrid Quantum Programming
    Anna M. Krol, Koen J. Mesman, Aritra Sarkar, Zaid Al-Ars · 2023 · IEEE International Conference on Quantum Computing and Engineering (QCE)
28. Probabilistic tensor optimization of quantum circuits for the max−k−cut problem
    Georgii Vitalievich Paradezhenko, Anastasiia A. Pervishko, D. Yudin · 2024 · Physical Review A
29. Variational quantum imaginary time evolution for matrix product state Ansatz with tests on transcorrelated Hamiltonians
    Hao-En Li, Xiang Li, Jia-Cheng Huang, Guang-Ze Zhang, Zhu-Ping Shen, Chen Zhao, Jun Li, Han‐Shi Hu · 2024 · The Journal of Chemical Physics
30. A Knowledge Graph Framework for Organizing Heterogeneous Datasets for Utilization in Classical and Quantum Computing: Current Challenges and Future Directions
    Thilanka Munasinghe, Kimberly A. Cornell, Jennifer Wei, George Berg, James Hendler · 2024 · IEEE International Conference on Big Data (BigData)
31. Diffusion‐Enhanced Optimization of Variational Quantum Eigensolver for General Hamiltonians
    Shikun Zhang, Zheng Qin, Yongyou Zhang, Yang Zhou, Rui Li, Chunxiao Du, Zhisong Xiao · 2026 · Advanced Quantum Technologies
32. Quantifying the uncertainty and global sensitivity of quantum computations on experimental hardware
    Guanglei Xu, Kalpana Hanthanan Arachchilage, M. Yousuff Hussaini, William S. Oates · 2022 · Quantum Information Processing
33. Variational post-selection for ground states and thermal states simulation
    Shi‐Xin Zhang, Jiaqi Miao, Chang‐Yu Hsieh · 2024 · Quantum Science and Technology
34. Variational Quantum Simulation of Valence-Bond Solids
    Daniel Huerga · 2022 · Quantum
35. Quantum active learning
    Yongcheng Ding, Yue Ban, Mikel Sanz, José D. Martín‐Guerrero, Xi Chen · 2025 · Physical Review A
36. Tangent Space Excitation Ansatz for Quantum Circuits
    Ji-Yao Chen, Bochen Huang, D. L. Zhou, Norbert Schuch, Chenfeng Cao, Muchun Yang · 2026 · Physical Review Letters
37. Transforming two-dimensional tensor networks into quantum circuits for supervised learning
    Zhihui Song, Jinchen Xu, Xin Zhou, Xiaodong Ding, Zheng Shan · 2024 · Machine Learning Science and Technology
38. Full quantum eigensolvers based on variance
    Ruo-Nan Li, Yuan-Hong Tao, Jin‐Min Liang, Shuhui Wu, Shao-Ming Fei · 2024 · Physica Scripta
39. Efficient large-scale quantum optimization via counterdiabatic ansatz
    Jie Liu, Xin Wang · 2025 · Physical Review A
40. Exploring quantum phases in frustrated spin- 1 2 chain and ladders: a detailed review
    Manodip Routh, Sayan Ghosh, Manoranjan Kumar · 2025 · Journal of Physics Condensed Matter
41. Correcting and Extending Trotterized Quantum Many-Body Dynamics
    Gian Gentinetta, Friederike Metz, Giuseppe Carleo · 2025 · PRX Quantum
42. Simulation of Quantum and Artificial Systems
    Vijayarangan Natarajan · 2025 · Springer eBooks
43. Variational Quantum Eigensolver for Clinical Biomarker Discovery: A Multi-Qubit Model
    Juan Pablo Acuña González, Moisés Sánchez-Adame, Oscar Montiel · 2025 · Axioms
44. Simulation and randomized measurement of topological phase on a trapped-ion quantum computer
    Cheong-Eung Ahn, Gil Young Cho · 2022 · Journal of the Korean Physical Society
45. Sample Complexity of Learning Quantum Circuits
    Haoyuan Cai, Qi Ye, Dong-Ling Deng · 2021 · arXiv (Cornell University)
46. Quantum simulation and ground state preparation for the honeycomb Kitaev model
    Tatiana A. Bespalova, Oleksandr Kyriienko · 2021 · arXiv (Cornell University)
47. Probing many-body localization by excited-state VQE
    Shuo Liu, Shi‐Xin Zhang, Chang‐Yu Hsieh, Shengyu Zhang, Hong Yao · 2021 · arXiv (Cornell University)
48. Decomposition of Matrix Product States into Shallow Quantum Circuits
    Alejandro Perdomo‐Ortiz, Manuel Rudolph, Jing Chen, Jacob A. Miller, Atithi Acharya · 2022 · Research Square
49. Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach
    Jaeho Choi, Seunghyeok Oh, Soohyun Park, Jong‐Kook Kim, Joongheon Kim · 2021 · International Conference on Information Networking
50. Entanglement Diagnostics for Efficient Quantum Computation
    Joonho Kim, Yaron Oz · 2021 · arXiv (Cornell University)
51. Detection energy levels of a quantum system on a quantum computer by probe spin evolution
    Kh. P. Gnatenko, H. P. Laba, V. M. Tkachuk · 2021 · arXiv (Cornell University)
52. Quantum Heaviside Eigen Solver
    Zheng-Zhi Sun, Gang Su · 2021 · arXiv (Cornell University)
53. Exponential Qubit Reduction in Optimization for Financial Transaction Settlement
    Elias X. Huber, Benjamin Y. L. Tan, Paul Griffin, Dimitris G. Angelakis · 2023 · arXiv (Cornell University)
54. Tensor Train Optimization of Parameterized Quantum Circuits
    Georgii Vitalievich Paradezhenko, Anastasiia A. Pervishko, D. Yudin · 2023 · Journal of Experimental and Theoretical Physics Letters
55. Benchmarking Variational Quantum Eigensolvers for Entanglement Detection in Many-Body Hamiltonian Ground States
    Alexandre Drinko, Guilherme Ilário Correr, Ivan Medina, Pedro C. Azado, Askery Canabarro, Diogo O. Soares-Pinto · 2024 · Research Square
56. Scalable quantum dynamics compilation via quantum machine learning
    Yuxuan Zhang, Roeland Wiersema, Juan Carrasquilla, Łukasz Cincio, Yong Baek Kim · 2026 · Physical Review Research
57. Generator and training technique in quantum generative adversarial networks
    Quangong Ma, Chaolong Hao, Yunpeng Liu, Nianwen Si, Jiale Zhang, Geng Chen, Dan Qu · 2024 · International Conference on Image Processing, Machine Learning and Pattern Recognition (IPMLPR)
58. Digital-analog variational neural-simulation hybrid eigensolver with classical shadow
    Yuta Shingu, Yukun Zhang, Yuichiro Matsuzaki, Tetsuro Nikuni, Xiao Yuan, Yiming Huang · 2025 · Japanese Journal of Applied Physics
59. Benchmarking variational quantum eigensolvers for entanglement detection in many-body Hamiltonian ground states
    Alexandre Drinko, Guilherme Ilário Correr, Ivan Medina, Pedro C. Azado, Askery Canabarro, Diogo O. Soares-Pinto · 2025 · AVS Quantum Science
60. Simultaneous determination of multiple low-lying energy levels on a superconducting quantum processor
    Huili Zhang, Yibin Guo, Guanglei Xu, Yulong Feng, Jing-Ning Zhang, Haifeng Yu, S. P. Zhao · 2026 · Physical Review Applied
61. A Knowledge-Based System for Managing Hardware Dependency and Reproducibility in Quantum Machine Learning Workflows
    Thilanka Munasinghe, Kimberly A. Cornell, James Hendler, George Berg, Jennifer Wei · 2025 · IEEE International Conference on Big Data (BigData)
62. Solving Quantum Many-Body Problems on Quantum Computers
    Baptiste Anselme Martin · 2023 · theses.fr (ABES)
63. Quantum decision theory-driven neural networks for non-orthogonal quantum state discrimination
    Zhe Wang, Yu Huang, Xi-Kun Li, Ming Yang · 2026 · Laser Physics Letters
64. Eliminating vendor lock-in in quantum machine learning via framework-agnostic neural networks
    Poornima Kumaresan, Shwetha Singaravelu, Lakshmi Rajendran, Santhosh Sivasubramani · 2026 · Frontiers in Quantum Science and Technology
65. Distributed variational quantum computing with deterministic entanglement tuning
    Anonymous, Yong‐Su Kim, Kwang Jo Lee, Hyukjoon Kwon, Yosep Kim, Hyang‐Tag Lim · 2026 · Physical Review Applied
66. Quantum computing in drug discovery
    Harshraj N. Gadbail, Rajendra M. Rewatkar, Nishant Rajendra Jumde, Mrinal Manker, Pratik Nagre, Sujal Zade · 2026 · Frontiers in Drug Discovery
67. Unsupervised Quantum Kernel Learning of Symmetry Protected Topological Phases via Geometric Tensor Weighting
    Mejbah Ahammad, Md. Ashraful Babu, M. Mostafizur Rahman, Md. Fayz-Al Asad, Tashin Islam · 2026 · Communications in computer and information science