activity
20242026
collaborators

5 papers

quant-ph2026

Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor

Gavin S. Hartnett, Khadijeh Sona Najafi, Aleksei Khindanov +5

We report experimental digital quantum simulation of the one-dimensional Fermi-Hubbard model on a superconducting quantum processor at a scale beyond the reach of exact statevector…

quant-ph2025

QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution

Siddhant Dutta, Nouhaila Innan, Khadijeh Najafi +2

Recent advancements in Single-Image Super-Resolution (SISR) using deep learning have significantly improved image restoration quality. However, the high computational cost of proce…

quant-ph2024

Dynamic parameterized quantum circuits: expressive and barren-plateau free

Abhinav Deshpande, Marcel Hinsche, Khadijeh Najafi +3

Classical optimization of parameterized quantum circuits is a widely studied methodology for the preparation of complex quantum states, as well as the solution of machine learning…

quant-ph2024

Realizing string-net condensation: Fibonacci anyon braiding for universal gates and sampling chromatic polynomials

Zlatko K. Minev, Khadijeh Najafi, Swarnadeep Majumder +5

The remarkable complexity of the vacuum state of a topologically-ordered many-body quantum system encodes the character and intricate braiding interactions of its emergent particle…

quant-ph2024

Learning topological states from randomized measurements using variational tensor network tomography

Yanting Teng, Rhine Samajdar, Katherine Van Kirk +5

Learning faithful representations of quantum states is crucial to fully characterizing the variety of many-body states created on quantum processors. While various tomographic meth…