We present an algorithm for compiling arbitrary unitaries into a sequence of gates native to a
quantum processor. As CNOT gates are error-prone for the foreseeable Noisy-Intermediate …

Quantum computing has attracted considerable public attention due to its exponential
speedup over classical computing. Despite its advantages, today's quantum computers …

Dynamic simulation of materials is a promising application for near-term quantum
computers. Current algorithms for Hamiltonian simulation, however, produce circuits that …

A new approach to the fast optimization of crystal electric field (CEF) parameters to fit
experimental data is presented. This approach is implemented in a lightweight Python …

We have studied the efficiencies of both classical and quantum heat engines using an Ising
model as working fluid and the mean field equation for its non-equilibrium dynamics …

A higher-order Suzuki–Trotter decomposition or Trotterization can be exploited to mitigate
the Trotter error in digital quantum simulation. This work revisits the second-order symmetric …

We present MISTIQS, a Multiplatform Software for Time-dependent Quantum Simulations.
MISTIQS delivers end-to-end functionality for simulating the quantum many-body dynamics …

We present a new lite python-based program, CrysFieldExplorer, for fast optimizing crystal
electric field (CEF) parameters to fit experimental data. The main novelty of …

Computing landscape is evolving rapidly. Exascale computers have arrived, which can
perform 10^ 18 mathematical operations per second. At the same time, quantum supremacy …

Quantum computers hold great promise for discovering new materials behavior by
performing dynamic simulations of quantum materials that are intractable on classical …