works on

From the 2 of 15 papers with an AI index.

Showing quant-phShow all

7 papers · 1 filter

quant-ph2026

Optimising Trotter-Suzuki Simulations of Markovian Open Quantum Systems via Classical Search

S. M. Pillay, I. J. David, I. Sinayskiy +1

The paper derives analytic bounds for first- and second-order deterministic and randomized Trotter‑Suzuki product formulas for simulating Markovian open quantum systems, and introd…

quant-ph2026

Lecture notes on classical and quantum non-Markovianity

Graeme Pleasance

The study of non-Markovian quantum processes has attracted significant interest in recent decades, giving rise to several competing notions of quantum non-Markovianity. These notes…

quant-ph2026

New perspectives on quantum kernels through the lens of entangled tensor kernels

Seongwook Shin, Ryan Sweke, Hyunseok Jeong

Quantum kernel methods are one of the most explored approaches to quantum machine learning. However, the structural properties and inductive bias of quantum kernels are not fully u…

quant-ph2026

Realizing the Petz Recovery Map on an NMR Quantum Processor

Gayatri Singh, Ram Sagar Sahani, Vinayak Jagadish +3

The Petz recovery map is a central construct in quantum information theory, providing an explicit, channel-aware prescription for reversing the effects of noise. Unlike standard qu…

quant-ph2026

Decoherence-free subspaces and Markovian revival of genuine multipartite entanglement in a dissipative system

Shubhodeep Gangopadhyay, Vinayak Jagadish, R. Srikanth

We investigate the dynamics of genuine multipartite entanglement (GME) in a system of qubits () collectively interacting with a common zero temperature bosonic bath char…

quant-ph20261 cited

Dissipative realization of a quantum distance-based classifier using open quantum walks

Pedro Linck, Pedro Linck Maciel, Graeme Pleasance +2

Open quantum walks (OQWs) constitute a class of quantum walks whose dynamics are entirely driven by interactions with the environment. It is well known that OQWs provide a general…