Key papers

• Benchmarking Quantum Algorithmic Resilience for CVaR Portfolio Optimization: The Expressibility-Coherence Trade-off (2026)
  Prashik N. Somkuwar et al.
  1.89
• Where the Quantum Lives in D-Wave Hybrid Portfolio Optimization: An Operational Decomposition Audit (2026)
  Luis Lozano
  1.83
• A Penalty-Free Pipeline for Direct Quantum-Annealer Portfolio Optimization (2026)
  Luis Lozano
  1.83
• Constrained Portfolio Optimization via Quantum Approximate Optimization Algorithm (QAOA) with XY-Mixers and Trotterized Initialization: A Hybrid Approach for Direct Indexing (2026)
  Javier Mancilla et al.
  1.67
• Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization (2026)
  Vincent Gurgul et al.
  1.61
• Variational Quantum Eigensolver for Real-World Finance: Scalable Solutions for Dynamic Portfolio Optimization Problems (2025)
  Irene De Le\'on et al.
  1.56
• A quantum unstructured search algorithm for discrete optimisation: the use case of portfolio optimisation (2025)
  Titos Matsakos et al.
  1.17
• End-to-End Portfolio Optimization with Quantum Annealing (2025)
  Sai Nandan Morapakula et al.
  1.11
• Reverse Quantum Annealing Approach to Portfolio Optimization Problems (2018)
  Davide Venturelli and Alexei Kondratyev
  —
• Quantum Algorithms for Portfolio Optimization (2019)
  Iordanis Kerenidis et al.
  —
• Hybrid quantum-classical optimization for financial index tracking (2020)
  Samuel Fern\'andez-Lorenzo et al.
  —
• Solving the Optimal Trading Trajectory Problem Using Simulated Bifurcation (2020)
  Kyle Steinhauer et al.
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• Picking Efficient Portfolios from 3,171 US Common Stocks with New Quantum and Classical Solvers (2020)
  Jeffrey Cohen et al.
  —
• Portfolio Optimisation Using the D-Wave Quantum Annealer (2020)
  Frank Phillipson and Harshil Singh Bhatia
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• Quantum Portfolio Optimization with Investment Bands and Target Volatility (2021)
  Samuel Palmer et al.
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• Wasserstein Solution Quality and the Quantum Approximate Optimization Algorithm: A Portfolio Optimization Case Study (2022)
  Jack S. Baker and Santosh Kumar Radha
  —
• Quantum Finance: a tutorial on quantum computing applied to the financial market (2022)
  Askery Canabarro et al.
  —
• Financial Index Tracking via Quantum Computing with Cardinality Constraints (2022)
  Samuel Palmer et al.
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• Portfolio optimization with discrete simulated annealing (2022)
  \'Alvaro Rubio-Garc\'ia and Juan Jos\'e Garc\'ia-Ripoll and Diego Porras
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• Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States (2022)
  Chung-En Tsai and Hao-Chung Cheng and Yen-Huan Li
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• Hybrid Quantum Algorithms integrating QAOA, Penalty Dephasing and Zeno Effect for Solving Binary Optimization Problems with Multiple Constraints (2023)
  Ke Wan et al.
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• A quantum double-or-nothing game: The Kelly Criterion for Spins (2023)
  Bernhard K Meister and Henry C W Price
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• Mutual information maximizing quantum generative adversarial networks (2023)
  Mingyu Lee et al.
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• PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms (2024)
  Kamila Zaman and Alberto Marchisio and Muhammad Kashif and Muhammad Shafique
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• Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing (2024)
  Atithi Acharya et al.
  —
• Quantum-Inspired Portfolio Optimization In The QUBO Framework (2024)
  Ying-Chang Lu et al.
  —