A new technical paper titled “From Promise to Practice: Benchmarking Quantum Chemistry on Quantum Hardware” was published by researchers at Rensselaer Polytechnic Institute and IBM T.J. Watson ...

Quantum diagonalization methods are a new class of techniques that are being developed for Hamiltonian simulation. Check Sample based Krylov Quantum Diagonalization to get a basic idea of this type of ...

This work presents the application of the lesser-known yet significant Sommerfeld-Watson transformation (SWT) for the analytical diagonalization of specific Hamiltonians in condensed matter physics.

Satoshi Okamoto is a condensed-matter theorist, working on strongly-correlated electron systems, such as unconventional superconductors, quantum magnets, and topological insulators. He uses a variety ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

Abstract: Block diagonalization (BD) based on singular value decomposition (SVD) is a well-known precoding method that eliminates interuser interference in multiuser multi-input multi-output (MIMO) ...

If the ‘That verification method isn’t working right now‘ message appears due to traffic issues, it should automatically be resolved after a certain period of time. In other cases, use these fixes: ...

I’ve understood that a dense/exact diagonalization method (e.g., LinearAlgebra.jl's eigen()) is currently used for diagonalizing projected Hamiltonians during the sweeps (please correct me if I’m ...

The critical point and the critical exponents for a phase transition can be determined using the Finite-Size Scaling (FSS) analysis. This method assumes that the phase transition occurs only in the ...