Key papers

• Higher Order Methods For Simulations On Quantum Computers (1999)
  A. T. Sornborger, E. D. Stewart
  14.11
• Multivariable Optimization: Quantum Annealing & Computation (2014)
  Sudip Mukherjee, Bikas K. Chakrabarti
  13.70
• Variational Quantum Eigensolver For The Heisenberg Antiferromagnet On The Kagome Lattice (2021)
  Joris Kattemölle, Jasper van Wezel
  12.25
• HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era (2024)
  Muhammad Kashif et al.
  9.86
• All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks (2023)
  Richard D. P. East et al.
  9.58
• Quantum Variational Approach To Lattice Gauge Theory At Nonzero Density (2021)
  Arata Yamamoto
  8.60
• Entanglement detection with quantum support vector machine(QSVM) on near-term quantum devices (2025)
  M.Mahdian and Z.Mousavi
  7.96
• Overcoming Barriers To Scalability In Variational Quantum Monte Carlo (2021)
  Tianchen Zhao, Saibal de, Brian Chen, et al.
  7.50
• Robustness Of Variational Quantum Algorithms Against Stochastic Parameter Perturbation (2022)
  Daniil Rabinovich, Ernesto Campos, Soumik Adhikary, et al.
  7.16
• Quantum Approximate Multi-Objective Optimization (2025)
  Ayse Kotil et al.
  6.58
• The Variational-relaxation Algorithm For Finding Quantum Bound States (2017)
  Daniel V. Schroeder
  6.34
• Bridging Quantum Computing and Nuclear Structure: Atomic Nuclei on a Trapped-Ion Quantum Computer (2025)
  Sota Yoshida et al.
  6.18
• An Efficient Quantum Approximate Optimization Algorithm with Fixed Linear Ramp Schedule for Truss Structure Optimization (2025)
  Junsen Xiao et al.
  6.06
• Quantum Algorithms For The Variational Optimization Of Correlated Electronic States With Stochastic Reconfiguration And The Linear Method (2024)
  Mario Motta, Kevin J. Sung, James Shee
  5.84
• The phase diagram of quantum chromodynamics in one dimension on a quantum computer (2025)
  Anton T. Than et al.
  5.73
• Four-Qubit Variational Algorithms in Silicon Photonics with Integrated Entangled Photon Sources (2025)
  Alessio Baldazzi et al.
  5.73
• Bound on entanglement in neural quantum states (2025)
  Nisarga Paul
  5.57
• Variational quantum computing for quantum simulation: principles, implementations, and challenges (2025)
  Lucas Q. Galv\~ao et al.
  5.57
• Fidelity-Enhanced Variational Quantum Optimal Control (2025)
  Robert de Keijzer et al.
  5.43
• Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization (2025)
  Linus Jern et al.
  5.24
• Efficient quantum state preparation through seniority driven operator selection (2025)
  Dipanjali Halder et al.
  5.24
• Quantum Advantage In Variational Bayes Inference (2022)
  Hideyuki Miyahara, Vwani Roychowdhury
  5.24
• Quantum Computing Based Design of Multivariate Porous Materials (2025)
  Shinyoung Kang et al.
  5.13
• SoK: Adversarial Robustness of the Variational Quantum Eigensolver via Red-Teaming (2026)
  Ahmed Azaz Humdoon et al.
  4.95
• Scalability Challenges in Variational Quantum Optimization under Stochastic Noise (2025)
  Adelina B\"arligea et al.
  4.76
• Fully optimised variational simulation of a dynamical quantum phase transition on a trapped-ion quantum computer (2025)
  Lesley Gover et al.
  4.71
• Hacking Cryptographic Protocols With Advanced Variational Quantum Attacks (2023)
  Borja Aizpurua, Pablo Bermejo, Josu Etxezarreta Martinez, et al.
  4.52
• Quantum Variational Solving Of The Wheeler-dewitt Equation (2021)
  Grzegorz Czelusta, Jakub Mielczarek
  4.52
• Variational meta-learning inference for low dimensional neural system identification (2026)
  Matteo Rufolo et al.
  4.33
• Quantum Transformer BSDE Solver via Multi-Layer Fully-Connected Variational Quantum Circuits (2026)
  Howard Su et al.
  4.33
• Detecting quantum phase transitions via shallow variational quantum circuits (2026)
  Ching-Yu Huang et al.
  4.33
• Classically Augmented Zero-Noise Extrapolation (2026)
  Timon Scheiber
  4.33
• QAOA-GPT: Efficient Generation of Adaptive and Regular Quantum Approximate Optimization Algorithm Circuits (2025)
  Ilya Tyagin et al.
  4.30
• Preparation Circuits for Matrix Product States by Classical Variational Disentanglement (2025)
  Refik Mansuroglu and Norbert Schuch
  4.30
• Challenges in Barren Plateau Mitigation with Dynamic Parameterized Quantum Circuits (2026)
  Sumeet Shirgure et al.
  4.27
• Realization of fermionic Laughlin state on a quantum processor (2025)
  Lingnan Shen et al.
  4.25
• Non-Variational Quantum Random Access Optimization with Alternating Operator Ansatz (2025)
  Zichang He et al.
  4.19
• Excited-State Quantum Chemistry on Qumode-Based Processors via Variational Quantum Deflation (2026)
  Marlon F. Jost et al.
  4.04
• IQP Born Machines under Data-dependent and Agnostic Initialization Strategies (2026)
  Sacha Lerch et al.
  3.98
• A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics (2025)
  Cesar A. Amaral et al.
  3.97
• Co-Designed Adaptive Quantum State Preparation Protocols (2026)
  Mafalda Ram\^oa et al.
  3.87
• Hybrid quantum tensor networks for aeroelastic applications (2025)
  M. Lautaro Hickmann (1) et al.
  3.86
• QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks (2025)
  Yannick Werner et al.
  3.75
• Quantum-Assisted Vehicle Routing: Realizing QAOA-based Approach on Gate-Based Quantum Computer (2025)
  Talha Azfar et al.
  3.70
• C3-VQA: Cryogenic Counter-based Co-processor For Variational Quantum Algorithms (2024)
  Yosuke Ueno, Satoshi Imamura, Yuna Tomida, et al.
  3.58
• Embedding of Tree Tensor Networks into Shallow Quantum Circuits (2025)
  Shota Sugawara et al.
  3.47
• iSTAR: an algebraic-collapse framework for variational reduction in quantum-inspired continuous Ising solvers (2026)
  Bowen Liu et al.
  3.45
• Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions (2026)
  Jian Xu et al.
  3.45
• Geometric--Nongeometric Optimizer Calculus: A Modular Language for Reachable Gradient Methods (2026)
  Zavier Li
  3.45
• VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks? (2026)
  Anton Firc et al.
  3.45
• Pulse-optimised circuit elements for scalable and noise-resilient quantum chemistry (2026)
  Henrik Gothen et al.
  3.39
• Quantum tree generator improves QAOA state-of-the-art for the knapsack problem (2024)
  Paul Christiansen et al.
  3.20
• Noise Resilience and Robust Convergence Guarantees for the Variational Quantum Eigensolver (2026)
  Mirko Legnini et al.
  3.12
• LLM-Guided Ans\"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling (2025)
  Yaswitha Gujju et al.
  2.99
• How many qubits does a machine learning problem require? (2025)
  Sydney Leither et al.
  2.93
• Lie groups for quantum complexity and barren plateau theory (2025)
  P. A. S. de Alc\^antara et al.
  2.87
• Variational Inference for Quantum HyperNetworks (2025)
  Luca Nepote et al.
  2.82
• Entanglement-minimized orbitals enable faster quantum simulation of molecules (2025)
  Zhendong Li
  2.82
• Seeding neural network quantum states with tensor network states (2025)
  Ryui Kaneko et al.
  2.82
• Typical Machine Learning Datasets as Low-Depth Quantum Circuits (2025)
  Florian J. Kiwit et al.
  2.76