Exploring the use of qudits in quantum machine learning

The gap

Evidence profile

Stated in the cells future research and cells research gap and abstract sections of the source papers, classified as general, spanning 4 journals.

Supporting evidence — 8 representative gaps

• k-Flip Theory / Volume B: Quantum (rev50c) — Entanglement, Censorship, and the Anatomy of 2√2 (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  Future research could explore the applications of the theory in areas such as quantum computing and quantum communication. - It could investigate the limitations of the theory and its potential extensions.

  generalstated in cells future researchevidence 5/5
  Keywords: future research explore applications theory areas quantum computing
• Enhancing the scalability of classical surrogates for real-world quantum machine learning applications (2026) · Quantum Machine Intelligence · doi

  Limited access to quantum hardware remains a significant bottleneck for deployment of QML solutions. - Previous methods require significant computational resources, limiting their practicality for industrial applications.

  generalstated in cells research gapevidence 5/5
  Keywords: limited access quantum hardware remains significant bottleneck deployment
• In Praise of Qudits: Why Higher-Dimensional Quantum Systems Deserve Centre Stage (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  The paper identifies a gap in the existing literature on qubits and qudits. - The authors note that qudits have been relatively unexplored compared to qubits. - The paper seeks to address this gap by exploring the mathematical structure of qudits and their potential applications.

  generalstated in cells research gapevidence 5/5
  Keywords: paper identifies gap existing literature qubits qudits authors
• In Praise of Qudits: Why Higher-Dimensional Quantum Systems Deserve Centre Stage (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  The paper suggests that future research should focus on exploring the use of qudits with d = 4 and d = 8 for quantum computation. - The authors note that the development of qudit-based quantum computation could lead to breakthroughs in fields such as quantum chemistry and materials science. - The paper suggests that further study is needed to understand the advantages and disadvantages of using qudits for quantum computation.

  generalstated in cells future researchevidence 5/5
  Keywords: paper suggests future research focus exploring use qudits
• Computación cuántica: de qubits a qudits (2026) · Entre Ciencia e Ingeniería · doi

  Exploring the use of qudits in quantum machine learning, - Investigating the use of qudits in quantum simulation, - Developing more sophisticated pulse-shaping techniques for multilevel gates

  generalstated in cells future researchevidence 5/5
  Keywords: exploring use qudits quantum machine learning investigating simulation
• Quantum Precomputation: Parallelizing Cascade Circuits and the Moore–Nilsson Conjecture Is False (2026) · doi

  To extend the results to more general classes of circuits. - To develop new techniques for quantum precomputation. - To study the implications of the results for quantum computation and cryptography.

  generalstated in cells future researchevidence 5/5
  Keywords: extend results general classes circuits develop new techniques
• Quantum Mathematical Frameworks for Next-Generation Engineering Systems and Intelligent Technologies (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  The paper suggests that the continued development of quantum algorithms is expected to transform future industrial technologies and scientific research. - The paper highlights the potential of quantum mathematics to revolutionize fields such as artificial intelligence and cybersecurity.

  generalstated in cells future researchevidence 5/5
  Keywords: paper suggests continued development quantum algorithms expected transform
• Superconducting qubits in the millions: The potential and limitations of modularity (2026) · Physical Review Applied · doi

  We assess the resources needed for quantum computation examples that serve as building blocks of proposed applications, quantifying the architectural bottlenecks and trade-offs that remain to be addressed to deliver utility.

  generalstated in abstractevidence 4/5
  Keywords: assess resources needed quantum computation examples serve building blocks proposed applications quantifying architectural bottlenecks trade

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