From the 1 of 5 linked papers with an AI index.
5 papers
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
The paper demonstrates a digital quantum simulation of the one‑dimensional Fermi‑Hubbard model on a superconducting processor using up to 120 qubits, achieving high‑resolution dyna…
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…
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…
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…
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…