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EFFECTS OF INFORMATION TREATMENTS ON HOUSEHOLD INFLATION EXPECTATIONS IN INDONESIA: A GENERATIVE AI EXPERIMENT

clifford qc: A Python Toolkit for Quantum Simulation

clifford_qc is a Python research toolkit for constructing quantum models, comparing variational and subspace eigensolvers, and estimating measurement resources. A common sparse Pauli algebra connects Hamiltonians, density operators, gates, and candidate-selection observables, while dedicated interfaces handle circuit p...

Adaptive operator-generated subspaces for effective many-body Hamiltonians

Electronic-structure and embedding workflows terminate in effective many-body Hamiltonians, whereas quantum eigensolver studies often start from hand-built qubit models. We present the Adaptive Clifford-Algebra Subspace Eigensolver (A-CASE), a single-reference, operator-generated Rayleigh--Ritz method. Overlap, Hamilto...

Operator-centric Clifford algebra for variational eigensolvers and finite-shot adaptive selection

A sparse operator-centric realization of $n-qubit variational quantum algorithms in the complex Clifford algebra, a density-operator derivation and implementation of the real-sector pool filter, and a reproducible study of measurement-limited adaptive selection are developed.

DA-CASE: reusable measurements for adaptive quantum subspaces

Quantum subspace methods are often compared by basis dimension or energyerror, although their dominant experimental costs arise from different statepreparations, measurement settings, and shot allocations. We present theDyadic Adaptive Clifford-Algebra Subspace Eigensolver (DA-CASE), whose basisstates are virtual direc...