activity
20222026
most citedNear-Term Advances in Quantum Natural Language Processing

15 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth

Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup +1

Near-term quantum hardware limits circuit depth and often imposes geometrically local connectivity for quantum generative models, restricting the output distributions accessible to…

quant-ph2026

Minimizing classical resources in variational measurement-based quantum computation for generative modeling

Arunava Majumder, Hendrik Poulsen Nautrup, Hans J. Briegel

Measurement-based quantum computation (MBQC) is a framework for quantum information processing in which a computational task is carried out through one-qubit measurements on a high…

cs.LG2026

Disentanglement by means of action-induced representations

Gorka Muñoz-Gil, Hendrik Poulsen Nautrup, Arunava Majumder +4

Learning interpretable representations with variational autoencoders (VAEs) is a major goal of representation learning. The main challenge lies in obtaining disentangled representa…

quant-ph2023★ 6 cited

Variational measurement-based quantum computation for generative modeling

Arunava Majumder, Marius Krumm, Tina Radkohl +4

Measurement-based quantum computation (MBQC) offers a fundamentally unique paradigm to design quantum algorithms. Indeed, due to the inherent randomness of quantum measurements, th…

cs.CL2022★ 15 cited

Near-Term Advances in Quantum Natural Language Processing

Dominic Widdows, Aaranya Alexander, Daiwei Zhu +2

This paper describes experiments showing that some tasks in natural language processing (NLP) can already be performed using quantum computers, though so far only with small datase…