Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution

Simulating physics with computers

Feynman, R. P. (1982) · International Journal of Theoretical Physics · doi:10.1007/bf02650179 · Cited by 7,691

The density-matrix renormalization group in the age of matrix product states

Schollwöck, U. (2011) · Annals of Physics · doi:10.1016/j.aop.2010.09.012 · Cited by 4,818

A variational eigenvalue solver on a photonic quantum processor

Peruzzo, A., McClean, J., Shadbolt, P., Yung, M.-H., Zhou, X.-Q., Love, P. J., Aspuru-Guzik, A., & O’Brien, J. L. (2014) · Nature Communications · doi:10.1038/ncomms5213 · Cited by 4,552

An iteration method for the solution of the eigenvalue problem of linear differential and integral operators

Lanczos, C. (1950) · Journal of research of the National Bureau of Standards · doi:10.6028/jres.045.026 · Cited by 4,356

Universal Quantum Simulators

Lloyd, S. (1996) · Science · doi:10.1126/science.273.5278.1073 · Cited by 3,088

Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

Kandala, A., Mezzacapo, A., Temme, K., Takita, M., Brink, M., Chow, J. M., & Gambetta, J. M. (2017) · Nature · doi:10.1038/nature23879 · Cited by 2,982

Modern quantum chemistry

Szabó, A. (1982) · Cited by 2,620

Barren plateaus in quantum neural network training landscapes

McClean, J. R., Boixo, S., Smelyanskiy, V. N., Babbush, R., & Neven, H. (2018) · Nature Communications · doi:10.1038/s41467-018-07090-4 · Cited by 2,329

A practical introduction to tensor networks: Matrix product states and projected entangled pair states

Orús, R. (2014) · Annals of Physics · doi:10.1016/j.aop.2014.06.013 · Cited by 2,255

The theory of variational hybrid quantum-classical algorithms

McClean, J. R., Romero, J., Babbush, R., & Aspuru-Guzik, A. (2016) · New Journal of Physics · doi:10.1088/1367-2630/18/2/023023 · Cited by 2,227

Recipe for local simulation of strongly correlated fermionic matter on quantum computers: The two-dimensional Fermi-Hubbard model

Jafarizadeh, A., Pollmann, F., & Gammon-Smith, A. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.043018 · Cited by 9

Towards Robust Variational Quantum Simulation of Lindblad Dynamics via Stochastic Magnus Expansion

Huang, J.-C., Li, H.-E., Wang, Y.-C., Zhang, G.-Z., Li, J., & Hu, H. (2025) · PRX Quantum · doi:10.1103/yyln-q22s · Cited by 5

Beyond real: alternative unitary cluster Jastrow models for molecular electronic structure calculations on near-term quantum computers

Tkachenko, N. V., Ren, H., Billings, W. M., Tomann, R., Whaley, K. B., & Head‐Gordon, M. (2025) · Chemical Science · doi:10.1039/d5sc03585f · Cited by 4

Efficient Quantum Gibbs Sampling with Local Circuits

Hahn, D., Sweke, R., Deshpande, A., & Shtanko, O. (2026) · PRX Quantum · doi:10.1103/m5zb-z4nn · Cited by 12

Effect of thermal noise on the nonclassicality of SU(1, 1) and SU(2) coherent states

Zehtabzadeh, F., Faghihi, M. J., & Baghshahi, H. R. (2021) · The European Physical Journal Plus · doi:10.1140/epjp/s13360-021-01443-7 · Cited by 3

Variational microcanonical estimator

Pollock, K., Orth, P. P., & Iadecola, T. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.033224 · Cited by 3

Quantum Computing Algorithms for Nonlinear Optimization Problems

Vishwakarma, V. K. (2023) · Communications on Applied Nonlinear Analysis · doi:10.52783/cana.v30.279 · Cited by 3

Imaginary-time relaxation quantum critical dynamics in the two-dimensional dimerized Heisenberg model

Cai, J., Shu, Y.-R., Rao, X.-Q., & Yin, S. (2024) · Physical review. B./Physical review. B · doi:10.1103/physrevb.109.184303 · Cited by 3

Preparing quantum statistical ensembles using mid-circuit measurements

Stenger, J., Hellberg, C. S., & Gunlycke, D. (2024) · Quantum Information Processing · doi:10.1007/s11128-024-04412-y · Cited by 3

Many-body eigenstates from quantum manifold optimization

Smart, S. E., & Narang, P. (2024) · Physical Review A · doi:10.1103/physreva.110.052430 · Cited by 3

Weighted Feedback-Based Quantum Algorithm for Excited States Calculation

Rahman, S. A., Karabacak, Ö., & Wiśniewski, R. (2024) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce60285.2024.00029 · Cited by 5

Slow approach to adiabaticity in many-body non-Hermitian systems: The Hatano-Nelson model

Dupays, L., del Campo, A., & Dóra, B. (2025) · Physical review. B./Physical review. B · doi:10.1103/physrevb.111.045130 · Cited by 3

Approximate real-time evolution operator for potential with one ancillary qubit and application to first-quantized Hamiltonian simulation

Huang, X., Kosugi, T., Nishi, H., & Matsushita, Y. (2025) · Quantum Information Processing · doi:10.1007/s11128-025-04697-7 · Cited by 3

Quantum computing of chirality imbalance in SU(2) gauge theory

Zhang, G., Guo, X., Wang, E., & Xing, H. (2025) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.111.056031 · Cited by 3

Parallelized Givens Ansatz for Molecular Ground States: Bridging Accuracy and Efficiency on NISQ Platforms

Nirmal, M. R., Khandelwal, A., Nambiar, M. K., & Yamijala, S. S. R. K. C. (2025) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.5c04605 · Cited by 5

Molecular Properties in Quantum-Classical Auxiliary-Field Quantum Monte Carlo: Correlated Sampling with Application to Accurate Nuclear Forces

Goings, J. J., Shin, K., Noh, S., Kyoung, W., Kim, D., Baek, J., Roetteler, M., Epifanovsky, E., & Zhao, L. (2025) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5c01351 · Cited by 3

Implementation of Classic Image Transformation Algorithm to Quantum State, Boundary Extraction and Transformation of Half-Tone Image to Binary

Gushanskiy, S. M., Potapov, V., & Madrigal, O. C. (2020) · Cybernetics and Information Technologies · doi:10.2478/cait-2020-0017 · Cited by 3

Evaluating thermal expectation values by almost ideal sampling with Trotter gates

Goto, S., Kaneko, R., & Danshita, I. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.107.024307 · Cited by 3

Iteration-free digital quantum simulation of imaginary-time evolution based on the approximate unitary expansion

Wen, J., Zheng, C., Huang, Z., & Qian, L. (2023) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/acc052 · Cited by 3

Recursive relations and quantum eigensolver algorithms within modified Schrieffer-Wolff transformations for the Hubbard dimer

Marécat, Q., Senjean, B., & Saubanère, M. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.107.155110 · Cited by 6

Variational post-selection for ground states and thermal states simulation

Zhang, S., Miao, J., & Hsieh, C. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ad8fca · Cited by 3

Variational quantum eigensolvers with quantum Gaussian filters for solving ground-state problems in quantum many-body systems

Liu, Y., He, M.-Q., & Wang, Z. D. (2025) · Physics Letters A · doi:10.1016/j.physleta.2025.130766 · Cited by 6

Quantum restricted Boltzmann machine is universal for quantum computationPreprint

Wu, Y., Wei, C., Qin, S.-J., Wen, Q., & Gao, F. (2020) · Research Square · doi:10.21203/rs.3.rs-69480/v1 · Cited by 4

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Administration, U. A. S. F. H. R. A., Alexeev, Y., USDOE Office of Science (SC), Eidenbenz, S., Mezzacapo, A., & Pakin, S. (2023) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.2172/2280557 · Cited by 3

Research on Optimization of Hierarchical Quantum Circuit Scheduling Strategy

Han, Z., Li, H., Lu, K., Liu, S., & Ju, M. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.059577 · Cited by 3

Rapid discovering ground states in Lee-Huang-Yang spin-orbit coupled Bose-Einstein condensates via a coupled-TgNN surrogate model

Bai, X., Xu, T., Li, J., Liu, Y.-K., Zhao, Y., & Zhao, J. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.013332 · Cited by 3

Bayesian phase difference estimation based on single-photon projective measurement

余, X.-H. 旭. Y., 韦, Y. 颖. W., 杨, R. 然. Y., 宋, W.-H. 文. S., 缪, Y. 应. M., 周, W. 唯. Z., 李, X. 新. L., 高, X. 小. G., Gong, Y.-X., & 祝, S.-N. 世. Z. (2025) · Chinese Physics B · doi:10.1088/1674-1056/adde33 · Cited by 2

Tangent Space Excitation Ansatz for Quantum Circuits

Chen, J.-Y., Huang, B., Zhou, D. L., Schuch, N., Cao, C., & Yang, M. (2026) · Physical Review Letters · doi:10.1103/k2lc-v1hn · Cited by 3

Quantum Advantage in Computational Chemistry?

Gundlach, H., Sharkey, K. L., Lynch, J., Hazoglou, V., Hsu, K.-C., Dukatz, C., Crane, E., Walczyk, K., Bodziak, M., Galatsanos-Dueck, J., et al. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00249 · Cited by 6

Digital quantum simulation of the Lindblad master equation and its nonlinear extensions via quantum trajectory averaging

Liu, Y.-G., Fan, H., & Chen, S. (2026) · Physical Review A · doi:10.1103/q33r-j5tl · Cited by 4

Connecting ansatz design to density functional observables using weighted subspace search vqe for kohn-sham hamiltonian

Iryanti, I., Hue, J. H., Soesanto, Q. M. B., Hanna, M. Y., Rangkuti, C. N., Kwek, L. C., & Sarwono, Y. P. (2025) · Physica Scripta · doi:10.1088/1402-4896/ae2da6 · Cited by 2

Scattering phase shift in quantum mechanics on quantum computers

Guo, P., LeVan, P., Lee, F. X., & Zhao, Y. (2026) · Physical review. D/Physical review. D. · doi:10.1103/ds7x-7bkp · Cited by 2

A Technical Review of Quantum Computing Use Cases for Finance and Economics

Hlatshwayo, M. Q., Babel, M., Islas-Sanchez, D., & Γεωργόπουλος, Κ. (2026) · Quantum Reports · doi:10.3390/quantum8010026 · Cited by 3

Recovery of a generic local Hamiltonian from a degenerate steady state

Zhou, J., & Zhou, D. L. (2023) · Physics Letters A · doi:10.1016/j.physleta.2023.129279 · Cited by 2

Quantum simulation of water-molecule bond angles using an NMR quantum computer

Xu, F., Yang, F., Wei, C., Chen, X., Wei, S., Wang, H., Li, J., & Xin, T. (2024) · Physical Review A · doi:10.1103/physreva.109.042618 · Cited by 2

U(1) fields from qubits: An approach via D-theory algebra

Berenstein, D. E., Kawai, H., & Brower, R. C. (2024) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.110.014506 · Cited by 2

Non-Unitary Trotter Circuits for Imaginary Time Evolution

Leadbeater, C., Fitzpatrick, N., Ramo, D. M., & Thom, A. J. W. (2024) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce60285.2024.10374 · Cited by 2

Classical optimization with imaginary-time block encoding on quantum computers: The MaxCut problem

Zhong, D., Francis, A., & Rrapaj, E. (2025) · Physical Review A · doi:10.1103/gtq3-j37b · Cited by 2

Solving Constrained Combinatorial Optimization Problems with Variational Quantum Imaginary Time Evolution

Lee, X., & Lau, H. C. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00213 · Cited by 2

QuaSiMo: A composable library to program hybrid workflows for quantum simulation

Nguyen, T., Oftelie, L. B., Lotshaw, P. C., Lyakh, D. I., McCaskey, A., Leyton‐Ortega, V., Pooser, R. C., Elwasif, W. R., Humble, T. S., & de Jong, W. A. (2021) · IET Quantum Communication · doi:10.1049/qtc2.12024 · Cited by 2

Orbital expansion variational quantum eigensolver

Wu, Y., Huang, Z., Sun, J., Yuan, X., Wang, J. B., & Lv, D. (2023) · Quantum Science and Technology · doi:10.1088/2058-9565/acf9c7 · Cited by 2

Excited-state downfolding using ground-state formalisms

Bauman, N. P. (2024) · Electronic Structure · doi:10.1088/2516-1075/ad46b6 · Cited by 2

HamPerf: A Hamiltonian-Oriented Approach to Quantum Benchmarking

Butko, A., Klymko, K., Camps, D., & Sawaya, N. P. D. (2024) · ACM International Conference on Computing Frontiers: Workshops and Special Sessions (CF Companion) · doi:10.1145/3637543.3653431 · Cited by 3

Gibbs state sampling via cluster expansions

Eassa, N. M., Moustafa, M. M., Banerjee, A., & Cohn, J. F. (2024) · npj Quantum Information · doi:10.1038/s41534-024-00887-w · Cited by 2

Characterization and thermometry of dissipatively stabilized steady states

Grattan, G., Liguori-Schremp, A. M., Perez, D. R., Kapit, E., Jones, W., & Graf, P. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ad9e2d · Cited by 2

Quantum Zeno Monte Carlo for computing observables

Han, M., Park, H., & Choi, S. (2025) · npj Quantum Information · doi:10.1038/s41534-025-01002-3 · Cited by 2

Engineering Si-Qubit MOSFET: Quantum-Electrostatic Integration at Cryogenic Temperatures

Pandey, N., Basu, D., Chauhan, Y. S., Register, L. F., & Banerjee, S. K. (2025) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2025.3570285 · Cited by 2

Reducing the Sampling Complexity of Energy Estimation in Quantum Many-Body Systems Using Empirical Variance Information

Gresch, A., Tepe, U., & Kliesch, M. (2025) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5c00370 · Cited by 3

Quantum imaginary-time evolution with polynomial resources in evolution time

Zhang, L., Lai, J., Wu, X., & Wang, X. (2026) · Quantum Science and Technology · doi:10.1088/2058-9565/ae7b7f · Cited by 2

Efficient quantum thermal state preparation via local driving: Lindbladian simulation with provable guarantees

Hahn, D., Parameswaran, S. A., & Placke, B. (2026) · Physical review. B./Physical review. B · doi:10.1103/b6mc-w34s · Cited by 20

Jellyfish: A modular code for wave function‐based electron dynamics simulations and visualizations on traditional and quantum compute architectures

Langkabel, F., Krause, P., & Bande, A. (2023) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.1696 · Cited by 2

Application of the Variational Quantum Eigensolver to the Ultimate Pit Problem

Hindy, Y., Pointing, J., Tolunay, M., Venkatarao, S., Motta, M., & Latone, J. A. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.00083 · Cited by 2

Sample complexity of matrix product states at finite temperature

Iwaki, A., & Hotta, C. (2024) · Physical review. B./Physical review. B · doi:10.1103/physrevb.109.224410 · Cited by 2

Machine-learning-inspired quantum control in many-body dynamics

Mao, M.-Y., Cheng, Z., Li, L., Wu, N., & You, W. (2024) · Physical Review A · doi:10.1103/physreva.109.042428 · Cited by 2

Practical limitations of quantum data propagation on noisy quantum processors

Saxena, G., Shalabi, A., & Kyaw, T. H. (2024) · Physical Review Applied · doi:10.1103/physrevapplied.21.054014 · Cited by 3

High-precision and low-depth quantum algorithm design for eigenstate problems

Sun, J., Zeng, P., Gur, T., & Kim, M. S. (2026) · Science Advances · doi:10.1126/sciadv.aeb1622 · Cited by 10

Shadow-based quantum subspace algorithm for the nuclear shell model

Yang, R., Wang, T., Lu, B.-N., Li, Y., & Xu, X. (2025) · Physical Review A · doi:10.1103/physreva.111.012620 · Cited by 5

Developing electron dynamics into a tool for 21st century chemistry simulations

Bande, A. (2022) · Royal Society of Chemistry eBooks · doi:10.1039/9781839169342-00091 · Cited by 2

Toward Exploring Phase Diagrams of Gauge Theories on Quantum Computers with Thermal Pure Quantum States

Powers, C., Davoudi, Z., & Mueller, N. (2023) · International Symposium on Lattice Field Theory (LATTICE) · doi:10.22323/1.430.0029 · Cited by 2

NISQ algorithm for the matrix elements of a generic observable

Erbanni, R., Bharti, K., Kwek, L. C., & Poletti, D. (2023) · SciPost Physics · doi:10.21468/scipostphys.15.4.180 · Cited by 2

Accessing ground state and excited states energies in many-body system after symmetry restoration using quantum computersPreprint

Guzman, E. A. R., & Denis Lacroix, A. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.13080 · Cited by 3

Variational determination of penalty parameters in quantum annealing

Qin, J.-Q., Yunlong, Y., & Wang, X. (2025) · Quantum Science and Technology · doi:10.1088/2058-9565/ae30a2 · Cited by 1

Imaginary-Time Quantum Relaxation Critical Dynamics with Semi-Ordered Initial States

Li, Z., Yin, S., & Shu, Y.-R. (2023) · Chinese Physics Letters · doi:10.1088/0256-307x/40/3/037501 · Cited by 1

Mixed State Variational Quantum Eigensolver for the Estimation of Expectation Values at Finite Temperature

Clemente, G. (2024) · International Symposium on Lattice Field Theory (LATTICE) · doi:10.22323/1.453.0216 · Cited by 2

Dynamic thermalization on noisy quantum hardware

Perrin, H., Scoquart, T., Pavlov, A. I., & Gnezdilov, N. V. (2025) · Communications Physics · doi:10.1038/s42005-025-02011-6 · Cited by 1

Cheaper and more noise-resilient quantum state preparation using eigenvector continuation

Agrawal, A. A., Getelina, J. C., Francis, A., & Kemper, A. F. (2025) · Physical Review A · doi:10.1103/physreva.111.032607 · Cited by 1

Unraveling the rodeo algorithm through the Zeeman model

Gomes, R. F. I., Rocha, J. C. S., Nogueira, W. A. T., & Dias, R. A. (2025) · Physica Scripta · doi:10.1088/1402-4896/add58c · Cited by 4

Open-quantum-system simulation through exploiting noise on quantum computers

Rose, M., Kais, S., & Mazziotti, D. A. (2025) · Physical Review A · doi:10.1103/physreva.111.052612 · Cited by 1

A quantum constraint generation framework for binary linear programs

Czégel, A., & G.-Tóth, B. (2025) · EPJ Quantum Technology · doi:10.1140/epjqt/s40507-025-00364-z · Cited by 1

Quantum Information Processing

Natarajan, V. (2025) · Springer eBooks · doi:10.1007/978-981-96-5051-4_1 · Cited by 1

Benchmarking quantum simulation of chemical Hamiltonians using the sorted-list encoding

Ku, C., Chen, Y., Hu, A., & Hsieh, M.-H. (2026) · Physical Review Research · doi:10.1103/6q7b-h9db · Cited by 5

Role of Riemannian Geometry in Double-Bracket Quantum Imaginary-Time Evolution

Zander, R., Seidel, R., Xiaoyue, L., & Gluza, M. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-03924-8_11 · Cited by 1

Quasi-optimal Sampling from Gibbs States via Non-commutative Optimal Transport Metrics

Capel, Á., Gondolf, P., Kochanowski, J., & Rouzé, C. (2025) · Annales Henri Poincaré · doi:10.1007/s00023-025-01637-0 · Cited by 14

Probabilistic imaginary-time evolution in state-vector-based and shot-based simulations and on quantum devices

Ejima, S., Seki, K., Fauseweh, B., & Yunoki, S. (2025) · Physical Review Research · doi:10.1103/2s2p-kvcx · Cited by 5

Efficient and simple Gibbs state preparation of the two-dimensional toric code via duality to classical Ising chains

Páez-Velasco, P., Schilling, N., Scalet, S. O., Verstraete, F., & Capel, Á. (2026) · Physical Review Research · doi:10.1103/sbxq-sqvp · Cited by 8

Stochastic Schrödinger equations for quantum reverse diffusion

Gabbassov, E. (2026) · Physical Review Research · doi:10.1103/f7fd-2rb9 · Cited by 4

An Adaptive Weighted Qite-Vqe Algorithm for Combinatorial Optimization Problems

Xie, N., Lee, X., Chen, T., Saito, Y., Asai, N., & Cail, D. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00032 · Cited by 1

Random State Approach to Quantum Computation of Electronic-Structure Properties

Bai, Y., Xiong, F., & Kuang, X. (2025) · Chinese Physics Letters · doi:10.1088/0256-307x/43/1/010604 · Cited by 2

Warm start of variational quantum algorithms for quadratic unconstrained binary optimization problems

Chai, Y., Jansen, K., Kühn, S., Schwägerl, T., & Stollenwerk, T. (2025) · EPJ Quantum Technology · doi:10.1140/epjqt/s40507-025-00452-0 · Cited by 2

Deterministic Quantum Trajectory via Imaginary Time Evolution

Mittal, S., & Yan, B. (2025) · Physical Review Letters · doi:10.1103/fgkg-n2b9 · Cited by 1

Quantum state readout via overlap-based feature extraction

Nishi, H., Kosugi, T., Huang, X., Hirose, S., Okayama, T., & Yuichiro, M. (2026) · Physical Review A · doi:10.1103/3l9h-c367 · Cited by 3

Nature Is Stingy: Universality of Scrooge Ensembles in Quantum Many-Body Systems

Mok, W., Haug, T., Ho, W. W., & Preskill, J. P. (2026) · Physical Review X · doi:10.1103/tb52-jxmx · Cited by 28

Velocity Verlet-based optimization for variational quantum eigensolvers

Miura, R. (2026) · Quantum Information Processing · doi:10.1007/s11128-026-05068-6 · Cited by 2

Mapping Bloch-Redfield dynamics into a unitary gate-based quantum algorithm

Aydoğan, K., Abbasi, M., Short, W., Fahrenbruch, M. Z., Krogmeier, T. J., Schlimgen, A. W., & Head-Marsden, K. (2026) · Digital Discovery · doi:10.1039/d5dd00405e · Cited by 1

Learning parameterized quantum circuits with quantum gradient

Li, K., Wang, Y., Gao, P., & Zheng, S. (2026) · npj Quantum Information · doi:10.1038/s41534-025-01179-7 · Cited by 1

Krylov polynomials and quantum query complexity

Adhikari, K. (2026) · Physics Letters A · doi:10.1016/j.physleta.2026.131601 · Cited by 8

Mapping of fermionic lattice models for Ising solvers

Nagpal, L., Kumar, A., & Hassan, S. R. (2026) · Scientific Reports · doi:10.1038/s41598-026-44886-7 · Cited by 1

Ground state preparation in ( 2 + 1 )-dimensional pure Z 2 lattice gauge theory via deterministic quantum imaginary time evolution

Sekiyama, M., & Nagano, L. (2026) · Physical review. D/Physical review. D. · doi:10.1103/k43t-x4p2 · Cited by 1

Convex-roof entanglement measures of density matrices block diagonal in disjoint subspaces for the study of thermal states

Jędrzejewski, M., Kinastowski, K., & Roszak, K. (2022) · Physical Review A · doi:10.1103/physreva.105.062419 · Cited by 1

The Future of High Performance Computing in Biomimetics and Some Challenges

Fernandes, L. P., Kharate, P., & Singh, B. K. (2024) · Series in bioengineering · doi:10.1007/978-981-97-1017-1_15 · Cited by 1

Counting the Ground State Degeneracy by Evolution Methods

Zhen, G., & Li, Y. (2025) · Physical Review Letters · doi:10.1103/38gb-h7wv · Cited by 1

Realizing nontrivial doublon formation using a quantum computer

Paul, B., & Mishra, T. (2024) · Physical review. B./Physical review. B · doi:10.1103/physrevb.110.l020302 · Cited by 1

Theory-guided neural network for studying the ground state of 2D spin-orbit coupled Bose–Einstein condensates

Kuang, J., Bai, X., Du, W., & Li, T. (2024) · Results in Physics · doi:10.1016/j.rinp.2024.107935 · Cited by 1

OnionVQE optimization strategy for ground state preparation on NISQ devices

Gratsea, A., Selisko, J., Amsler, M., Wever, C., Eckl, T., & Samsonidze, G. G. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ad8a85 · Cited by 1

General Framework for Error Interference in Quantum Simulation

Chen, B., Xu, J., Yuan, X., & Zhao, Q. (2026) · Physical Review Letters · doi:10.1103/g2n5-qdxh · Cited by 1

Robust preparation of ground state phases under noisy imaginary time evolution

Khindanov, A., Yao, Y., & Iadecola, T. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.013263 · Cited by 2

Performance evaluation of variational quantum eigensolver and quantum dynamics algorithms on the advection-diffusion equation

Özgüler, A. B. (2026) · Physical review. E · doi:10.1103/mr76-1wtz · Cited by 2

Method of Modeling Quantum Computations Using a Hardware Accelerator

Gushanskiy, S. M., Potapov, V., & Николаевич, П. В. (2020) · International Russian Automation Conference (RusAutoCon) · doi:10.1109/rusautocon49822.2020.9208110 · Cited by 1

Combinatorial optimization with variational approaches on noisy quantum devices

Miki, T., Okita, R., Shimada, M., & Shirakashi, J. (2021) · IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO) · doi:10.1109/3m-nano49087.2021.9599740 · Cited by 1

Simulation and randomized measurement of topological phase on a trapped-ion quantum computer

Ahn, C.-E., & Cho, G. Y. (2022) · Journal of the Korean Physical Society · doi:10.1007/s40042-022-00536-5 · Cited by 1

Quasiprobabilistic Imaginary-Time Evolution on Quantum Computers

Ray, A., Swaroop, E., Cao, N., Vasmer, M., & Chowdhury, A. C. N. (2026) · Quantum Information and Computation · doi:10.2478/qic-2026-0005 · Cited by 3

Variational ansatz-based quantum simulation of imaginary time evolution

McArdle, S., Jones, T., Endo, S., Li, Y., Benjamin, S. C., & Yuan, X. (2019) · npj Quantum Information · doi:10.1038/s41534-019-0187-2 · Cited by 557

Variational quantum simulation of imaginary time evolutionPreprint

McArdle, S., Jones, T., Endo, S., Li, Y., Benjamin, S. C., & Yuan, X. (2018) · arXiv (Cornell University) · Cited by 7

Real- and Imaginary-Time Evolution with Compressed Quantum Circuits

Lin, S.-H., Dilip, R., Green, A. G., Smith, A., & Pollmann, F. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.010342 · Cited by 263

Cooling with imaginary time

Love, P. J. (2019) · Nature Physics · doi:10.1038/s41567-019-0709-z · Cited by 10