activity
20232026
most citedTensorized Pauli decomposition algorithm

26 citations · 29 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.quant-gas2026

Competing delocalisation and localisation induced by the dipolar tail in fragmented lattice gases

Sabhyata Gupta, Adith Sai Aramthottil, Luis Santos

We investigate how the long-range tail of dipole-dipole interactions modifies the dynamics of strongly interacting hard-core bosons in a one-dimensional lattice. In the nearest-nei…

quant-ph2026

Ground state preparation of random all-to-all Hamiltonians using ADAPT-VQE

Sabhyata Gupta, Bharath Sambasivam, Sophia E. Economou +3

The ground state of random Hamiltonians with all-to-all interactions such as the quantum Sherrington-Kirkpatrick (SK) model and the Sachdev-Ye-Kitaev (SYK) model follow volume-law…

cond-mat.quant-gas2026

Analog quantum simulation of chiral magnetic dynamics using optical superlattices

Sabhyata Gupta, Luis Santos

We propose an analog quantum simulation of chiral magnetic dynamics using ultracold atoms in an optical superlattice. The massive Schwinger model in the zero gauge coupling limit m…

quant-ph2026

Exact stabilizer scars in two-dimensional lattice gauge theory

Sabhyata Gupta, Piotr Sierant, Luis Santos +1

The complexity of highly excited eigenstates is a central theme in nonequilibrium many-body physics, underpining questions of thermalization, classical simulability, and quantum in…

quant-ph2024★ 3 cited

Fast generation of Pauli transfer matrices utilizing tensor product structure

Lukas Hantzko, Lennart Binkowski, Sabhyata Gupta

Analysis of quantum processes, especially in the context of noise, errors, and decoherence is essential for the improvement of quantum devices. An intuitive representation of those…

quant-ph2023★ 26 cited

Tensorized Pauli decomposition algorithm

Lukas Hantzko, Lennart Binkowski, Sabhyata Gupta

This paper introduces a novel general-purpose algorithm for Pauli decomposition that employs matrix slicing and addition rather than expensive matrix multiplication, significantly…