collaborators

12 papers

quant-ph2026

Quantum computer-based simulation of Stark many-body localization in a 1D Fermi-Hubbard model

Abdul Kalam, Prasenjit Deb, Akitada Sakurai +3

Many-body localization (MBL) is a dynamical phenomenon that describes the non-ergodicity of isolated quantum many-body systems. In contrast to thermalization, this phenomenon leads…

quant-ph2026

Better accuracy with fewer qubits: Single-particle basis set optimization for quantum chemistry on quantum computers

Subimal Deb, V. S. Prasannaa

In spite of recent advances, quantum computers are expected to be sufficiently noisy in the coming few years to the extent of limiting quantum chemical calculations to relatively s…

quant-ph2026

Resource-efficient quantum-selected configuration interaction for molecular properties

Suprava Sahoo, Abdul Kalam, Kenji Sugisaki +2

The quantum-selected configuration interaction identifies important determinantal basis functions through real-time evolution of a reference wavefunction and diagonalizing the Hami…

quant-ph2026

Quantum linear solvers for quantum chemistry: prospects of exponential quantum advantage

Peniel Bertrand Tsemo, Kenji Sugisaki, Ishita Bhattacharjee +1

Quantum linear solvers (QLSs) can offer the potential for exponential quantum advantage in solving quantum chemical problems, but its assessment hinges on determining the condition…

quant-ph2026

The Harrow-Hassidim-Lloyd algorithm with qutrits

Tushti Patel, V. S. Prasannaa

We extend the Harrow-Hassidim-Lloyd (HHL) algorithm, which is well-studied in the qubit framework, to its qutrit counterpart (which we call qutrit HHL, as opposed to qubit HHL, whi…

quant-ph2026

Do quantum linear solvers offer advantage for networks-based system of linear equations?

Disha Shetty, Supriyo Dutta, Palak Chawla +5

In this exploratory numerical study, we assess the suitability of Quantum Linear Solvers(QLSs)toward providing a quantum advantage for Networks-based Linear System Problems (NLSPs)…