285 citations · 475 across the 20 of their papers we have counts for
20 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…
Tree-Structured Commutativity Packing in Adaptive Variational Quantum Simulation: Measurement Overhead and Representation Limits
Hermawan Kresno Dipojono
While fermion-to-qubit isomorphisms are mathematically invariant under exact unitary statevector transformations, their physical implementation on noisy intermediate-scale quantum…
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…
An Integrated DFT-Wannier-Quantum Embedding Pipeline for Strongly Correlated Materials: Scaling Benchmarks in Li-hBN
Hermawan Kresno Dipojono
The seamless integration of Density Functional Theory (DFT) with quantum variational algorithms is essential for the predictive simulation of strongly correlated materials. In this…
Alleviating the Sparse Matrix Scaling Bottleneck in Adaptive VQE via Greedy Operator Commutativity Partitioning and High-Order Taylor State Evolution
Hermawan Kresno Dipojono
The Variational Quantum Eigensolver (VQE) and its adaptive variants, such as ADAPT-VQE, are central to the study of strongly correlated quantum systems. However, the classical simu…
Alleviating the Sparse Matrix Scaling Bottleneck in Adaptive VQE via High-Order Taylor State Evolution
Hermawan Kresno Dipojono
The Variational Quantum Eigensolver (VQE) is a leading algorithm for noisy intermediate-scale quantum (NISQ) devices, but its adaptive variants (e.g., ADAPT-VQE) suffer from severe…
Shattering the Symmetry Trap in Fixed-Ansatz VQE: An Accelerated ADAPT-VQE Study of Three Pillar Molecules under Bravyi-Kitaev Mapping
Hermawan Kresno Dipojono
Fixed-ansatz Variational Quantum Eigensolvers (VQE), such as the Unitary Coupled Cluster with Singles and Doubles (UCCSD) framework, frequently suffer from severe initialization pa…
Shot-Efficient ADAPT-VQE via Reused Pauli Measurements and Variance-Based Shot Allocation
Azhar Ikhtiarudin, Gagus Ketut Sunnardianto, Fadjar Fathurrahman +2
The Adaptive Variational Quantum Eigensolver (ADAPT-VQE) is a promising approach for quantum algorithms in the Noisy Intermediate-Scale Quantum (NISQ) era, offering advantages over…
Quantum coherence as asymmetry from complex weak values
Agung Budiyono, Mohammad K. Agusta, Bagus E. B. Nurhandoko +1
Quantum coherence as an asymmetry relative to a translation group generated by a Hermitian operator, is a necessary resource for the quantum parameter estimation. On the other hand…
Quantifying quantum coherence via nonreal Kirkwood-Dirac quasiprobability
Agung Budiyono, Hermawan K. Dipojono
Kirkwood-Dirac (KD) quasiprobability is a quantum analog of phase space probability of classical statistical mechanics, allowing negative or/and nonreal values. It gives an informa…
General quantum correlation from nonreal values of Kirkwood-Dirac quasiprobability over orthonormal product bases
Agung Budiyono, Bobby E. Gunara, Bagus E. B. Nurhandoko +1
We propose a characterization and a quantification of general quantum correlation which is exhibited even by a separable (unentangled) mixed bipartite state in terms of the nonclas…
Ethylene Carbonate Adsorption and Decomposition on Pristine and Defective ZnO (1010) Surface: A First-Principles Study
Ganes Shukri, Bernardus Rendy, Adhitya Gandaryus Saputro +5
Fundamental understanding of the reactivity between coating material of Li-ion battery cathode and electrolyte is important in order to obtain suitable coating candidates. Herein,…
Anisotropic Li diffusion in pristine and defective ZnO
Ganes Shukri, Adhitya G. Saputro, Poetri S. Tarabunga +3
We study the Li interstitial diffusion in pristine and defective ZnO bulk by means of first-principles density functional theory (DFT) coupled with Nudged Elastic Band (NEB) calcul…
Quantum uncertainty as classical uncertainty of real-deterministic variables constructed from complex weak values and a global random variable
Agung Budiyono, Hermawan K. Dipojono
What does it take for real-deterministic c-valued (i.e., classical, commuting) variables to comply with the Heisenberg uncertainty principle? Here, we construct a class of real-det…
Efficient classical computation of expectation values in a class of quantum circuits with an epistemically restricted phase space representation
Agung Budiyono, Hermawan K. Dipojono
We devise a classical algorithm which efficiently computes the quantum expectation values arising in a class of continuous variable quantum circuits wherein the final quantum obser…
Nonlinear Schrödinger equations and generalized Heisenberg uncertainty principle violating the principle of estimation independence
Agung Budiyono, Hermawan K. Dipojono
One of the advantages of a reconstruction of quantum mechanics based on transparent physical axioms is that it may offer insight to naturally generalize quantum mechanics by relaxi…
Inhibition of Polyimide Photodegradation by Incorporation of Titanate Nanotubes into a Composite
Christian Harito, Dmitry V Bavykin, Brian Yuliarto +2
The effect of UV light exposure on the properties of 6FDA-ODA polyimide and PI-TiNT composites has been studied using Raman spectroscopy, optical microscopy, nanoidentation and TEM…
Polymer Nanocomposites having a High Filler Content: Synthesis, Structures, Properties, and Applications
Christian Harito, Dmitry V. Bavykin, Brian Yuliarto +2
The recent development of nanoscale fillers, such as carbon nanotube, graphene, and nanocellulose, allows the functionality of polymer nanocomposites to be controlled and enhanced.…