collaborators

9 papers

quant-ph2026

Leveraging Landau-Zener-Stückelberg interference for accelerating diabatic quantum annealing

Matthias Werner, Matías Jonsson, Artur García-Sáez +2

Diabatic quantum annealing with variationally optimized schedules can exhibit exponential speedups over conventional adiabatic quantum annealing, as was demonstrated numerically fo…

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…

quant-ph2026

Simulating the Open System Dynamics of Multiple Exchange-Only Qubits using Subspace Monte Carlo

Tameem Albash, N. Tobias Jacobson

We propose a Monte Carlo based method for simulating the open system dynamics of multiple exchange-only (EO) qubits. In the EO encoding, the total spin projection quantum number al…

quant-ph2026

Trajectory-independent speed limits for controlled open quantum systems

James B. Larsen, Tameem Albash, Alicia B. Magann +1

Existing quantum speed limits for controlled open quantum systems depend on the specified trajectory. For example, lower bounds on quantum annealing times in the presence of dissip…

quant-ph2025

Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model

Javier Gonzalez-Conde, Zachary Morrell, Marc Vuffray +2

Demonstrations of quantum advantage for certain sampling problems have generated considerable excitement for quantum computing and have further spurred the development of circuit-m…

quant-ph2025

Optimizing Temperature Distributions for Training Neural Quantum States using Parallel Tempering

Conor Smith, Quinn T. Campbell, Tameem Albash

Parameterized artificial neural networks (ANNs) can be very expressive ansatzes for variational algorithms, reaching state-of-the-art energies on many quantum many-body Hamiltonian…