Exploring the use of quantum computing via gate-based

The gap

Evidence profile

Sourced from the future-work section and abstract and stated research gap of the source papers, classified as general, spanning 6 journals. Those papers have been cited 4 times in total.

Supporting evidence — 8 representative gaps

• Optimal dissipative pathways in open quantum systems: a variational framework for environmental heat dissipation minimization (2026) · Frontiers in Physics · doi

  exploring the application of the MDR-GRAPE algorithm to more complex quantum systems, - investigating the effect of different penalty weights on the optimization process, - developing a mathematically guaranteed enforcement of the fidelity requirement

  generalfuture-work section
  Keywords: exploring application mdr-grape algorithm complex quantum systems investigating
• QUBO Modeling of Module Learning With Errors: Stability and Scaling in Post-Quantum Cryptography (2026) · arXiv

  Although current quantum annealing hardware remains insufficient for cryptographically relevant parameters, the proposed methodology offers a structured basis for studying lattice-based problems in quantum optimization settings without implying a practical threat to standardized post-quantum schemes.

  generalabstractevidence 5/5
  Keywords: quantum current annealing hardware remains insufficient cryptographically relevant parameters proposed methodology offers structured basis studying
• The Quantum Optimization Benchmarking Library (2026) · Nature Computational Science · cited 2× · doi

  There is a need for a systematic, fair and comparable benchmarking framework for quantum optimization methods. There is a need for a library of problem instances and solutions that can be used to develop and test new quantum optimization algorithms. There is a need to track progress towards quantum advantage in combinatorial optimization.

  generalstated research gapevidence 5/5
  Keywords: there need systematic fair comparable benchmarking framework quantum
• The Quantum Optimization Benchmarking Library (2026) · Nature Computational Science · cited 2× · doi

  Future research should focus on developing new quantum optimization algorithms that can solve the problem instances in the library. Future research should focus on improving the performance of existing quantum optimization algorithms. Future research should focus on exploring new application domains for quantum optimization.

  generalfuture-work sectionevidence 5/5
  Keywords: future research focus developing new quantum optimization algorithms
• SCALABLE QUANTUM INSPIRED DATA PROCESSING ARCHITECTURE FOR REAL TIME CYBER PHYSICAL SYSTEMS AND AUTONOMOUS DECISION INTELLIGENCE IN COMPUTER SCIENCE AND ENGINEERING APPLICATIONS (2026) · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · doi

  Existing quantum inspired models are designed for batch processing or offline optimization, lacking real-time scalability. The paper identifies the need for a scalable quantum inspired architecture for real-time CPS and autonomous decision intelligence.

  generalstated research gapevidence 5/5
  Keywords: existing quantum inspired models designed batch processing offline
• CMOS compatible probabilistic computing hardware with cointegrated reconfigurable p-bits and synapse arrays (2026) · Nature Communications · doi

  The need for a probabilistic computing hardware that can efficiently solve complex combinatorial optimization problems. The limitation of conventional deterministic computing in finding the optimal solution within a feasible time. The requirement for a cryogenic environment in quantum computing.

  generalstated research gapevidence 5/5
  Keywords: need probabilistic computing hardware efficiently solve complex combinatorial
• Efficient Fourier-Based Linear Combination of Unitaries and Applications in Quantum Optimization (2026) · arXiv

  Further development of the Fourier-based LCU framework for quantum optimization algorithms. Application of the approach to various quantum optimization algorithms and problems. Investigation of the scalability of the approach to larger numbers of qubits.

  generalfuture-work sectionevidence 5/5
  Keywords: further development fourier-based lcu framework quantum optimization algorithms
• Hybrid variational quantum-classical data assimilation for numerical weather prediction using Lorenz system benchmarks (2026) · Scientific Reports · doi

  Exploring the use of quantum computing via gate-based quantum computing, - Investigating the application of quantum annealing for data assimilation cost minimisation, - Developing hybrid quantum-classical algorithms for near-term applications

  generalfuture-work sectionevidence 5/5
  Keywords: exploring use quantum computing via gate-based investigating application

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