Investigating the performance of EXASP for more complex
Research gap analysis derived from 3 physics papers in our local library.
The gap
Investigating the performance of EXASP for more complex systems, - Exploring the application of EXASP to other quantum algorithms, - Developing more efficient methods for preparing excited states, - Investigating the robustness of EXASP to
Evidence profile
Sourced from the stated research gap and future-work section of the source papers, classified as general, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Accurate excited state energy calculations of the H$$_\textbf{2}$$ molecule using a variational quantum deflation algorithm on an NMR quantum simulator (2026) · Pramana · doi
The calculations of the ground and excited state energies of the molecules are extremely challenging for classical computers. The precision of molecular energy calculations is limited experimentally by the size of the quantum computer register and decoherence factors.
generalstated research gapevidence 5/5Keywords: calculations ground excited state energies molecules extremely challenging - Reinforcement Learning Assisted Quantum Simulation of Many-Body Excited States and Real-Time Dynamics (2026) · arXiv
The computation of electronic excited states and real-time quantum dynamics poses fundamental challenges. Standard single-reference methods are unreliable for these states. There is a need for developing more accurate and efficient methods for simulating excited states.
generalstated research gapevidence 5/5Keywords: computation electronic excited states real-time quantum dynamics poses - Excited state preparation on a quantum computer through adiabatic light-matter coupling (2026) · npj Quantum Information · doi
Investigating the performance of EXASP for more complex systems, - Exploring the application of EXASP to other quantum algorithms, - Developing more efficient methods for preparing excited states, - Investigating the robustness of EXASP to noise and errors
generalfuture-work sectionevidence 5/5Keywords: investigating performance exasp complex systems exploring application other
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