4 papers
clifford_qc: A Python Toolkit for Quantum Simulation
Ginanjar Utama, Hermawan Kresno Dipojono
clifford_qc is a Python research toolkit for constructing quantum models, comparing variational and subspace eigensolvers, and estimating measurement resources. A common sparse Pau…
DA-CASE: reusable measurements for adaptive quantum subspaces
Ginanjar Utama, Hermawan Kresno Dipojono
Quantum subspace methods are often compared by basis dimension or energyerror, although their dominant experimental costs arise from different statepreparations, measurement settin…
Adaptive operator-generated subspaces for effective many-body Hamiltonians
Ginanjar Utama, Hermawan Kresno Dipojono
Electronic-structure and embedding workflows terminate in effective many-body Hamiltonians, whereas quantum eigensolver studies often start from hand-built qubit models. We present…
Operator-centric Clifford algebra for variational eigensolvers and finite-shot adaptive selection
Ginanjar Utama, Hermawan Kresno Dipojono
We develop a sparse operator-centric realization of -qubit variational quantum algorithms in the complex Clifford algebra . D…