Coherent quantum annealing in a programmable 2,000 qubit Ising chain

Non-adiabatic crossing of energy levels

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

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Quantum annealing in the transverse Ising model

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Cosmological experiments in superfluid helium?

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Quantum annealing with manufactured spins

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Adiabatic quantum computation

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Many-body physics with individually controlled Rydberg atoms

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Relationship between d-Dimensional Quantal Spin Systems and (d+1)-Dimensional Ising Systems: Equivalence, Critical Exponents and Systematic Approximants of the Partition Function and Spin Correlations

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Observation of a many-body dynamical phase transition with a 53-qubit quantum simulator

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On the Adiabatic Theorem of Quantum Mechanics

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Quantum critical dynamics in a 5,000-qubit programmable spin glass

King, A. D., Raymond, J., Lanting, T., Harris, R., Zucca, A., Altomare, F., Berkley, A. J., Boothby, K., Ejtemaee, S., Enderud, C., et al. (2023) · Nature · doi:10.1038/s41586-023-05867-2 · Cited by 242

Beyond-classical computation in quantum simulation

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Noisy intermediate-scale quantum computers

Cheng, B., Deng, X., Gu, X. Q., He, Y., Hu, G., Huang, P., Li, J., Lin, B., Lu, D., Lu, Y., et al. (2023) · Frontiers of Physics · doi:10.1007/s11467-022-1249-z · Cited by 147

Efficient combinatorial optimization by quantum-inspired parallel annealing in analogue memristor crossbar

Jiang, M., Shan, K., He, C., & Li, C. (2023) · Nature Communications · doi:10.1038/s41467-023-41647-2 · Cited by 68

Quantum coarsening and collective dynamics on a programmable simulator

Manovitz, T., Li, S. H., Ebadi, S., Samajdar, R., Geim, A. A., Evered, S. J., Bluvstein, D., Zhou, H., Köylüoğlu, N. U., Feldmeier, J., et al. (2025) · Nature · doi:10.1038/s41586-024-08353-5 · Cited by 82

Quantum Optimization: Potential, Challenges, and the Path Forward

Abbas, A., (NNSA), U. N. N. S. A., Ambainis, A., Augustino, B., Bärtschi, A., Buhrman, H., Coffrin, C., Cortiana, G., Dunjko, V., Egger, D., et al. (2023) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.2172/2229681 · Cited by 65

Basic elements for simulations of standard-model physics with quantum annealers: Multigrid and clock states

Illa, M., & A, M. J. S. (2022) · Physical Review A · doi:10.1103/physreva.106.052605 · Cited by 58

Universal Breakdown of Kibble-Zurek Scaling in Fast Quenches across a Phase Transition

Zeng, H.-B., Xia, C.-Y., & del Campo, A. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.060402 · Cited by 56

Shortcuts to Adiabaticity in Krylov Space

Takahashi, K., & del Campo, A. (2024) · Physical Review X · doi:10.1103/physrevx.14.011032 · Cited by 50

Challenges of variational quantum optimization with measurement shot noise

Scriva, G., Astrakhantsev, N., Pilati, S., & Mazzola, G. (2024) · Physical Review A · doi:10.1103/physreva.109.032408 · Cited by 64

Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers

Pelofske, E., Bärtschi, A., & Eidenbenz, S. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-32041-5_13 · Cited by 47

Short-depth QAOA circuits and quantum annealing on higher-order ising models

Pelofske, E., Bärtschi, A., & Eidenbenz, S. (2024) · npj Quantum Information · doi:10.1038/s41534-024-00825-w · Cited by 49

On the emerging potential of quantum annealing hardware for combinatorial optimization

Tasseff, B., Albash, T., Morrell, Z., Vuffray, M., Lokhov, A. Y., Misra, S., & Coffrin, C. (2024) · Journal of Heuristics · doi:10.1007/s10732-024-09530-5 · Cited by 42

Quantum computing for chemistry and physics applications from a Monte Carlo perspective

Mazzola, G. (2024) · The Journal of Chemical Physics · doi:10.1063/5.0173591 · Cited by 48

Quantum-Informed Recursive Optimization Algorithms

Finžgar, J. R., Kerschbaumer, A., Schuetz, M. J. A., Mendl, C. B., & Katzgraber, H. G. (2024) · PRX Quantum · doi:10.1103/prxquantum.5.020327 · Cited by 40

A practitioner’s guide to quantum algorithms for optimisation problems

Symons, B. C. B., Galvin, D., Sahin, E., Alexandrov, V., & Mensa, S. (2023) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/ad00f0 · Cited by 43

Scaling Advantage in Approximate Optimization with Quantum Annealing

Munoz-Bauza, H., & Lidar, D. A. (2025) · Physical Review Letters · doi:10.1103/physrevlett.134.160601 · Cited by 46

Quantum computing and materials science: A practical guide to applying quantum annealing to the configurational analysis of materials

Camino, B., Buckeridge, J., Warburton, P. A., Kendon, V. M., & Woodley, S. M. (2023) · Journal of Applied Physics · doi:10.1063/5.0151346 · Cited by 36

Large-Scale Simulation of Shor’s Quantum Factoring Algorithm

Willsch, D., Willsch, M., Jin, F., Raedt, H. A. D., & Michielsen, K. F. L. (2023) · Mathematics · doi:10.3390/math11194222 · Cited by 40

Designing quantum annealing schedules using Bayesian optimization

Finžgar, J. R., Schuetz, M. J. A., Brubaker, J. K., Nishimori, H., & Katzgraber, H. G. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.023063 · Cited by 32

Topological Defect Formation in a Phase Transition with Tunable Order

Suzuki, F., & Zurek, W. H. (2024) · Physical Review Letters · doi:10.1103/physrevlett.132.241601 · Cited by 29

Benchmarking Digital Quantum Simulations Above Hundreds of Qubits Using Quantum Critical Dynamics

Miessen, A., Egger, D. J., Tavernelli, I., & Mazzola, G. (2024) · PRX Quantum · doi:10.1103/prxquantum.5.040320 · Cited by 42

Comparing three generations of D-Wave quantum annealers for minor embedded combinatorial optimization problems

Pelofske, E. (2025) · Quantum Science and Technology · doi:10.1088/2058-9565/adb029 · Cited by 31

Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules

Çalıkyılmaz, U., Groppe, S., Groppe, J., Winker, T., Prestel, S., Shagieva, F., Arya, D., Preis, F., & Gruenwald, L. (2023) · Proceedings of the VLDB Endowment · doi:10.14778/3598581.3598603 · Cited by 29

Efficient noise mitigation technique for quantum computing

Shaib, A., Naim, M. H., Fouda, M. E., Kanj, R. N., & Kurdahi, F. J. (2023) · Scientific Reports · doi:10.1038/s41598-023-30510-5 · Cited by 29

Coherent Many-Body Oscillations Induced by a Superposition of Broken Symmetry States in the Wake of a Quantum Phase Transition

Dziarmaga, J., Rams, M. M., & Zurek, W. H. (2022) · Physical Review Letters · doi:10.1103/physrevlett.129.260407 · Cited by 23

Varying quench dynamics in the transverse Ising chain: The Kibble-Zurek, saturated, and presaturated regimes

Kou, H.-C., & Li, P. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.108.214307 · Cited by 21

A Cost and Power Feasibility Analysis of Quantum Annealing for NextG Cellular Wireless Networks

Kasi, S., Warburton, P., Kaewell, J., & Jamieson, K. (2023) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2023.3326469 · Cited by 20

Locality of spontaneous symmetry breaking and universal spacing distribution of topological defects formed across a phase transition

del Campo, A., Gómez-Ruiz, F. J., & Zhang, H.-Q. (2022) · Physical review. B./Physical review. B · doi:10.1103/physrevb.106.l140101 · Cited by 20

Correlated Oscillations in Kerr Parametric Oscillators with Tunable Effective Coupling

Yamaji, T., Masuda, S., Yamaguchi, A., Satoh, T., Morioka, A., Igarashi, Y., Shirane, M., & Yamamoto, T. (2023) · Physical Review Applied · doi:10.1103/physrevapplied.20.014057 · Cited by 22

Hyperscaling in the Coherent Hyperspin Machine

Strinati, M. C., & Conti, C. (2024) · Physical Review Letters · doi:10.1103/physrevlett.132.017301 · Cited by 19

Stirring the false vacuum via interacting quantized bubbles on a 5,564-qubit quantum annealer

Vodeb, J., Desaules, J.-Y., Hallam, A., Rava, A., Humar, G., Willsch, D., Jin, F., Willsch, M., Michielsen, K. F. L., & Papić, Z. (2025) · Nature Physics · doi:10.1038/s41567-024-02765-w · Cited by 25

A Quantum Annealer-Enabled Decoder and Hardware Topology for NextG Wireless Polar Codes

Kasi, S., Kaewell, J., & Jamieson, K. (2023) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2023.3311204 · Cited by 18

Competition of long-range interactions and noise at a ramped quench dynamical quantum phase transition: The case of the long-range pairing Kitaev chain

Baghran, R., Jafari, R., & Langari, A. (2024) · Physical review. B./Physical review. B · doi:10.1103/physrevb.110.064302 · Cited by 21

Three phases of quantum annealing: Fast, slow, and very slow

Soriani, A., Nazé, P., Bonança, M. V. S., Gardas, B., & Deffner, S. (2022) · Physical Review A · doi:10.1103/physreva.105.042423 · Cited by 17

Non-Gaussian work statistics at finite-time driving

Zawadzki, K., Kiely, A., Landi, G. T., & Campbell, S. (2023) · Physical Review A · doi:10.1103/physreva.107.012209 · Cited by 16

Efficient Algorithm for Binary Quadratic Problem by Column Generation and Quantum Annealing

Hirama, S., & Ohzeki, M. (2023) · Journal of the Physical Society of Japan · doi:10.7566/jpsj.92.113002 · Cited by 19

Large Deviations beyond the Kibble-Zurek Mechanism

Balducci, F., Beau, M., Yang, J., Gambassi, A., & del Campo, A. (2023) · Physical Review Letters · doi:10.1103/physrevlett.131.230401 · Cited by 16

Tensor network simulation of the quantum Kibble-Zurek quench from the Mott to the superfluid phase in the two-dimensional Bose-Hubbard model

Dziarmaga, J., & Mazur, J. M. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.107.144510 · Cited by 17

Universal vortex statistics and stochastic geometry of Bose-Einstein condensation

Mithun, T., & del Campo, A. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.033152 · Cited by 15

ON-OFF neuromorphic ISING machines using Fowler-Nordheim annealers

Chen, Z., Xiao, Z., Akl, M., Leugering, J., Olajide, O., Malik, A., Dennler, N., Harper, C., Bose, S., Gonzalez, H. A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58231-5 · Cited by 20

Breakdown of the Weak-Coupling Limit in Quantum Annealing

Bando, Y., Yip, K.-W., Chen, H., Lidar, D. A., & Nishimori, H. (2022) · Physical Review Applied · doi:10.1103/physrevapplied.17.054033 · Cited by 16

State Preparation in the Heisenberg Model through Adiabatic Spiraling

Ciavarella, A. N., Caspar, S., Illa, M., & A, M. J. S. (2023) · Quantum · doi:10.22331/q-2023-04-06-970 · Cited by 13

Simulating the transverse-field Ising model on the kagome lattice using a programmable quantum annealer

Narasimhan, P., Humeniuk, S., Roy, A., & Drouin-Touchette, V. (2024) · Physical review. B./Physical review. B · doi:10.1103/physrevb.110.054432 · Cited by 17

Ising Hamiltonian minimization: Gain-based computing with manifold reduction of soft spins vs quantum annealing

Cummins, J., Salman, H., & Berloff, N. G. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.013150 · Cited by 15

Exploring Quantum Annealing Architectures: A Spin Glass Perspective

Jaumà, G., García‐Ripoll, J. J., & Pino, M. (2024) · Advanced Quantum Technologies · doi:10.1002/qute.202300245 · Cited by 12

Quadratic Unconstrained Binary Formulation for Traffic Signal Optimization on Real-World Maps

Shikanai, R., Ohzeki, M., & Tanaka, K. (2025) · Journal of the Physical Society of Japan · doi:10.7566/jpsj.94.024001 · Cited by 26

Effectiveness of quantum annealing for continuous-variable optimization

Arai, S., Oshiyama, H., & Nishimori, H. (2023) · Physical Review A · doi:10.1103/physreva.108.042403 · Cited by 13

Tricritical Kibble-Zurek scaling in Rydberg atom ladders

Wang, H., Li, X., & Li, C. (2025) · Nature Communications · doi:10.1038/s41467-025-65652-9 · Cited by 12

Leveraging analog quantum computing with neutral atoms for solvent configuration prediction in drug discovery

D'Arcangelo, M., Henry, L.-P., Henriet, L., Loco, D., Gouraud, N., Angebault, S., Sueiro, J., Forêt, J., Monmarché, P., & Piquemal, J. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.043020 · Cited by 20

Observation of Near-Critical Kibble-Zurek Scaling in Rydberg Atom Arrays

Zhang, T., Wang, H., Zhang, W., Wang, Y., Du, A., Li, Z. C., Wu, Y., Li, C., Hu, J., Zhai, H., et al. (2025) · Physical Review Letters · doi:10.1103/2gwz-65w1 · Cited by 12

Initial State Encoding via Reverse Quantum Annealing and H-Gain Features

Pelofske, E., Hahn, G., & Djidjev, H. N. (2023) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2023.3319586 · Cited by 15

Tutorial: calibration refinement in quantum annealing

Chern, K., Boothby, K., Raymond, J., Farré, P., & King, A. D. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2023.1238988 · Cited by 11

Structural phase transition and its critical dynamics from holography

Xia, C.-Y., Zeng, H.-B., Chen, C.-M., & del Campo, A. (2023) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.108.026017 · Cited by 11

Cyclic quantum annealing: searching for deep low-energy states in 5000-qubit spin glass

Zhang, H., Boothby, K., & Kamenev, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-80761-z · Cited by 11

Quantum quench dynamics of geometrically frustrated Ising models

Ali, A., Xu, H., Bernoudy, W., Nocera, A., King, A. D., & Banerjee, A. (2024) · Nature Communications · doi:10.1038/s41467-024-54701-4 · Cited by 12

Implementing Arbitrary Ising Models with a Trapped-Ion Quantum Processor

Lu, Y., Chen, W., Zhang, S., Zhang, K., Zhang, J., Zhang, J.-N., & Kim, K. (2025) · Physical Review Letters · doi:10.1103/physrevlett.134.050602 · Cited by 15

Mini-scale traffic flow optimization: an iterative QUBOs approach converting from hybrid solver to pure quantum processing unit

Salloum, H., Zhanalin, S., Badr, A. A., & Kholodov, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-04568-2 · Cited by 13

Field-induced magnetic phases in a qubit Penrose quasicrystal

López‐Bezanilla, A., & Nisoli, C. (2023) · Science Advances · doi:10.1126/sciadv.adf6631 · Cited by 10

Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large‐Scalability and Low‐Power Consumption

Kim, J. P., Kuk, S., Kim, H. W., Jeong, J., Park, J., Kim, B. H., Kim, J., Todri‐Sanial, A., & Kim, S. (2025) · Advanced Science · doi:10.1002/advs.202413247 · Cited by 10

Anti-Kibble-Zurek behavior in the quantum XY spin- 1 2 chain driven by correlated noisy magnetic field and anisotropy

Sadeghizade, S., Jafari, R., & Langari, A. (2025) · Physical review. B./Physical review. B · doi:10.1103/physrevb.111.104310 · Cited by 10

Machine Learning Supported Annealing for Prediction of Grand Canonical Crystal Structures

Couzinié, Y., Seki, Y., Nishiya, Y., Nishi, H., Kosugi, T., Tanaka, S., & Matsushita, Y. (2025) · Journal of the Physical Society of Japan · doi:10.7566/jpsj.94.044802 · Cited by 10

Probing critical phenomena in open quantum systems using atom arrays

Fang, F., Wang, K., Liu, V. S., Wang, Y., Cimmino, R., Wei, J., Bintz, M., Parr, A., Kemp, J., Ni, K.-K., et al. (2025) · Science · doi:10.1126/science.adq0278 · Cited by 30

Position Papers for the ASCR Workshop on Basic Research Needs in Quantum Computing and Networking

Lougovski, P., Parekh, O., Broz, J., Byrd, M., Chembo, Y. K., de Jong, W. A., Figueroa, E. V., Humble, T. S., Larson, J. M., Quiroz, G., et al. (2023) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.2172/2283320 · Cited by 10

Kibble–Zurek scaling due to environment temperature quench in the transverse field Ising model

Bácsi, Á., & Dóra, B. (2023) · Scientific Reports · doi:10.1038/s41598-023-30840-4 · Cited by 9

Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets

Salloum, H., Sabbagh, K., Savchuk, V., Lukin, R. Y., Orabi, O., Isangulov, M., & Mazzara, M. (2025) · IEEE Access · doi:10.1109/access.2025.3531391 · Cited by 10

Nonadiabatic quantum optimization for crossing quantum phase transitions

Grabarits, A., Balducci, F., Sanders, B. C., & del Campo, A. (2025) · Physical Review A · doi:10.1103/physreva.111.012215 · Cited by 9

Quantum error mitigation in quantum annealing

Raymond, J., Amin, M. H. S., King, A. D., Harris, R., Bernoudy, W., Berkley, A. J., Boothby, K., Smirnov, A. Y., Altomare, F., Babcock, M. C., et al. (2025) · npj Quantum Information · doi:10.1038/s41534-025-00977-3 · Cited by 16

Quantum annealing with twisted fields

Imoto, T., Seki, Y., Matsuzaki, Y., & Kawabata, S. (2022) · New Journal of Physics · doi:10.1088/1367-2630/ac9155 · Cited by 10

Driven one-dimensional noisy Kitaev chain

Singh, M., Dhara, S., & Gangadharaiah, S. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.107.014303 · Cited by 9

Online Calibration Scheme for Training Restricted Boltzmann Machines with Quantum Annealing

Goto, T., & Ohzeki, M. (2025) · Journal of the Physical Society of Japan · doi:10.7566/jpsj.94.034002 · Cited by 13

Experimental validation of the Kibble-Zurek mechanism on a digital quantum computer

Higuera-Quintero, S., Rodríguez, F. J., Quiroga, L., & Gómez-Ruiz, F. J. (2022) · Frontiers in Quantum Science and Technology · doi:10.3389/frqst.2022.1026025 · Cited by 9

Navigating the noise-depth tradeoff in adiabatic quantum circuits

Azses, D., Dupont, M., Evert, B., Reagor, M. J., & Torre, E. G. D. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.107.125127 · Cited by 11

Nonequilibrium critical dynamics with emergent supersymmetry

Zeng, Z., Yu, Y.-K., Li, Z., & Yin, S. (2025) · Physical review. B./Physical review. B · doi:10.1103/qtwr-8kth · Cited by 8

Counterdiabatic Driving with Performance Guarantees

Finžgar, J. R., Notarnicola, S., Cain, M., Lukin, M. D., & Sels, D. (2025) · Physical Review Letters · doi:10.1103/pqhl-nbtk · Cited by 10

Quantum Computing for Genomics: Conceptual Challenges and Practical Perspectives

Maurizio, A., & Mazzola, G. (2025) · PRX Life · doi:10.1103/h49j-bsc6 · Cited by 17

Energy-efficient Ising solver implementations in forming-free memristor crossbar arrays for combinatorial optimization problems

Youn, S., Kim, K., Park, J., & Kim, H. (2025) · Nano Energy · doi:10.1016/j.nanoen.2025.111633 · Cited by 8

Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems

Shirai, T., & Togawa, N. (2024) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2024.3376721 · Cited by 9

Effects of X X catalysts on quantum annealing spectra with perturbative crossings

Feinstein, N., Fry-Bouriaux, L., Bose, S., & Warburton, P. A. (2024) · Physical Review A · doi:10.1103/physreva.110.042609 · Cited by 10

Dissipative Landau-Zener tunneling in the crossover regime from weak to strong environment coupling

Dai, X., Trappen, R., Chen, H., Melanson, D., Yurtalan, M. A., Tennant, D., Martinez, A., Tang, Y., Mozgunov, E., Gibson, J., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-55588-x · Cited by 12

Gaussian-state Ansatz for the non-equilibrium dynamics of quantum spin lattices

Menu, R., & Roscilde, T. (2023) · SciPost Physics · doi:10.21468/scipostphys.14.6.151 · Cited by 8

Driving a quantum phase transition at an arbitrary rate: Exact solution of the transverse-field Ising model

Grabarits, A., Balducci, F., & del Campo, A. (2025) · Physical Review A · doi:10.1103/physreva.111.042207 · Cited by 7

Noisy sine-Gordon breather dynamics: A short review

Santis, D. D., Valenti, D., Spagnolo, B., Fresco, G. D., Carollo, A. C. M., & Guarcello, C. (2025) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2025.116641 · Cited by 7

The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute

Buchs, G., Beck, T. L., Bennink, R. S., Claudino, D., Delgado, A., Fadel, N. A., Groszkowski, P., Hamilton, K. E., Humble, T. S., Kumar, N., et al. (2026) · Future Generation Computer Systems · doi:10.1016/j.future.2026.108487 · Cited by 11

Individual subject evaluated difficulty of adjustable mazes generated using quantum annealing

Ishikawa, Y., Yoshihara, T., Okamura, K., & Ohzeki, M. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2023.1285962 · Cited by 10

Universal defect density scaling in an oscillating dynamic phase transition

Yang, W.-C., Tsubota, M., del Campo, A., & Zeng, H.-B. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.108.174518 · Cited by 7

Biased dynamics of the miscible-immiscible quantum phase transition in a binary Bose-Einstein condensate

Bayocboc, F. A., Dziarmaga, J., & Zurek, W. H. (2024) · Physical review. B./Physical review. B · doi:10.1103/physrevb.109.064501 · Cited by 7

Kibble-Zurek scaling immune to anti-Kibble-Zurek behavior in driven open systems at the limit of loss difference

Kou, H.-C., Zhang, Z., & Li, P. (2025) · Physical review. B./Physical review. B · doi:10.1103/physrevb.111.155152 · Cited by 6

Limitations of tensor-network approaches for optimization and sampling: A comparison to quantum and classical Ising machines

Dziubyna, A. M., Śmierzchalski, T., Gardas, B., Rams, M., & Mohseni, M. (2024) · Physical Review Applied · doi:10.1103/physrevapplied.23.054049 · Cited by 10

Quantum annealing enhanced Markov-Chain Monte Carlo

Arai, S., & Kadowaki, T. (2025) · Scientific Reports · doi:10.1038/s41598-025-07293-y · Cited by 7

Digitized counterdiabatic quantum critical dynamics

Visuri, A.-M., Cadavid, A. G., Bhargava, B. A., Romero, S. V., Grabarits, A., Chandarana, P., Solano, E., del Campo, A., & Hegade, N. N. (2026) · npj Quantum Information · doi:10.1038/s41534-026-01208-z · Cited by 7

Milestones on the Quantum Utility Highway: Quantum Annealing Case Study

McGeoch, C. C., & Farré, P. (2023) · ACM Transactions on Quantum Computing · doi:10.1145/3625307 · Cited by 6

PCQ: Parallel Compact Quantum Circuit Simulation

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Computation of relativistic and many-body effects in atomic systems using quantum annealing

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