papers

Publications (77)

quant-ph2026

Temporal Coarse Graining for Classical Stochastic Noise in Quantum Systems

Tameem Albash, Steve Young, N. Tobias Jacobson

Simulations of quantum systems with Hamiltonian classical stochastic noise can be challenging when the noise exhibits temporal correlations over a multitude of time scales, such as…

cond-mat.stat-mech2017

Off-Diagonal Expansion Quantum Monte Carlo

Tameem Albash, Gene Wagenbreth, Itay Hen

We propose a Monte Carlo algorithm designed to simulate quantum as well as classical systems at equilibrium, bridging the algorithmic gap between quantum and classical thermal simu…

quant-ph2013

Coarse-Graining Can Beat the Rotating Wave Approximation in Quantum Markovian Master Equations

Christian Majenz, Tameem Albash, Heinz-Peter Breuer +1

We present a first-principles derivation of the Markovian semi-group master equation without invoking the rotating wave approximation (RWA). Instead we use a time coarse-graining a…

quant-ph2020

Validating a Two Qubit Non-Stoquastic Hamiltonian in Quantum Annealing

Tameem Albash

We propose a two qubit experiment for validating tunable antiferromagnetic interactions in quantum annealing. Such interactions allow the time-dependent Hamiltonian to be non-…

hep-th2010

Landau Levels, Magnetic Fields and Holographic Fermi Liquids

Tameem Albash, Clifford V. Johnson

We further consider a probe fermion in a dyonic black hole background in anti-de Sitter spacetime, at zero temperature, comparing and contrasting two distinct classes of solution t…

quant-ph2022

Diabatic Quantum Annealing for the Frustrated Ring Model

Jeremy Côté, Frédéric Sauvage, Martín Larocca +3

Quantum annealing is a continuous-time heuristic quantum algorithm for solving or approximately solving classical optimization problems. The algorithm uses a schedule to interpolat…