Key papers

• Mean Field Reinforcement Learning (2026)
  Ren\'e Carmona et al.
  5.44
• Variational quantum algorithms for permutation-based combinatorial problems: Optimal ansatz generation with applications to quadratic assignment problems and beyond (2025)
  Dylan Laplace Mermoud et al.
  4.36
• Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces (2026)
  Domiziano Doria et al.
  4.33
• When Do Geometric Algebra Layers Beat Scalarization? A Controlled Study on SO(3)-Equivariant Vector Laws (2026)
  Fabien Polly
  4.33
• Scalable Optimal Transport Algorithm for Network Alignment (2026)
  Elaheh Hassani et al.
  4.33
• Decentralized Gradient Descent: Bottleneck Regimes and Budget Complexity (2026)
  Nicol\`o Michelusi
  4.33
• Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization (2026)
  Jiajie Zhao et al.
  4.33
• SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions (2026)
  Hoang-Thang Ta
  4.33
• PAC--Bayes Bounds on Quotient Parameter Spaces: Geometry-induced Implicit-Bias Priors (2026)
  Nicola Aladrah et al.
  4.33
• Attractor Geometry Determines the Identifiability Limits of System Discovery (2026)
  Matteo Gallo et al.
  4.33
• Contraction-Gauge Preconditioning for Quantized Matrix Multiplication (2026)
  Piyush Sao et al.
  4.33
• Optimizing Regret (2026)
  Irene Aldridge
  4.33
• Functional Equivalence and Geometric Diversity in Neural Network Approximations: An Empirical Characterization (2026)
  Anuragine S A et al.
  4.33
• Spectral Higher-Order Neural Networks Have Sharp Expressivity Bounds (2026)
  Gianluca Peri et al.
  4.33
• On the Order-Conditional Optimality of Gaffke's Bound (2026)
  George Bissias et al.
  4.33
• Normalizing Flows to Reconstruct Pseudo-PDFs (2026)
  Yamil Cahuana Medrano et al.
  4.33
• On some potentials based on exponential functions (2026)
  Francisco M. Fern\'{a}ndez
  4.33
• On the Condition Number Upper Bound of the L-BFGS Inverse Hessian Approximation Matrix with a Two-Sided Geometric Envelope Safeguarding Mechanism (2026)
  Don Li
  3.45
• A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems (2026)
  Fabian Schneider et al.
  3.45
• Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(\Omega)$ A Priori Error Bounds with Application to Mean Escape Time Computation (2026)
  Nathanael Tepakbong et al.
  3.45
• Reachability and optimal-time certificates for quantum control (2026)
  Younes Naceur et al.
  3.39
• Distributed Implementation of Variational Quantum Eigensolver to Solve QUBO Problems (2025)
  Milad Hasanzadeh et al.
  2.40
• LieBN: Batch Normalization over Lie Groups (2026)
  Ziheng Chen et al.
  1.94
• Distributed Variational Quantum Linear Solver (2026)
  Tong Shen et al.
  1.78
• Bipartitioning of Graph States for Distributed Measurement-Based Quantum Computing (2026)
  Kjell Fredrik Pettersen et al.
  1.61
• Strassen's support functionals coincide with the quantum functionals (2026)
  Keiya Sakabe et al.
  1.61
• Parity Cross-Resonance: A Multiqubit Gate (2025)
  Xuexin Xu et al.
  1.33
• Optimized Qubit Routing for Commuting Gates via Integer Programming (2025)
  Moritz Stargalla et al.
  1.28
• Fast, High-Fidelity, Quantum Non-demolition Readout of a Superconducting Qubit Using a Transverse Coupling (2018)
  Bryan T. Gard et al.
  —
• Efficient phase-factor evaluation in quantum signal processing (2020)
  Yulong Dong et al.
  —
• Quantum constraint learning for quantum approximate optimization algorithm (2021)
  Santosh Kumar Radha
  —
• A Quantum Algorithm for the Sub-Graph Isomorphism Problem (2021)
  Nicola Mariella and Andrea Simonetto
  —
• QuantumCircuitOpt: An Open-source Framework for Provably Optimal Quantum Circuit Design (2021)
  Harsha Nagarajan et al.
  —
• Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming (2022)
  Tadashi Kadowaki and Mitsuru Ambai
  —
• Improving Quantum Computation by Optimized Qubit Routing (2022)
  Friedrich Wagner et al.
  —
• FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes (2022)
  Ramin Ayanzadeh et al.
  —
• Enhancing Qubit Readout with Autoencoders (2022)
  Piero Luchi et al.
  —
• Dissipative protection of a GKP qubit in a high-impedance superconducting circuit driven by a microwave frequency comb (2023)
  Lev-Arcady Sellem et al.
  —
• Optimizing Variational Circuits for Higher-Order Binary Optimization (2023)
  Zo\'e Verch\`ere and Sourour Elloumi and Andrea Simonetto
  —
• Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits (2023)
  Zhiyan Ding and Taehee Ko and Jiahao Yao and Lin Lin and Xiantao Li
  —
• Optimized Noise Suppression for Quantum Circuits (2024)
  Friedrich Wagner et al.
  —
• Multi-qubit Lattice Surgery Scheduling (2024)
  Allyson Silva et al.
  —
• Quantum Natural Stochastic Pairwise Coordinate Descent (2024)
  Mohammad Aamir Sohail et al.
  —
• Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models (2025)
  V Vijendran et al.
  —
• Provably Optimal Quantum Circuits with Mixed-Integer Programming (2025)
  Harsha Nagarajan et al.
  —
• Optimization of Si/SiGe Heterostructures for Large and Robust Valley Splitting in Silicon Qubits (2025)
  Abel Thayil et al.
  —