39 citations · 44 across the 13 of their papers we have counts for
15 papers
Sequence and Image Transformations with Monarq: Quantum Implementations for NISQ Devices
Jan Balewski, Roel Van Beeumen, E. Wes Bethel +1
We introduce Monarq, a unified quantum data processing framework that combines QCrank encoding with the EHands protocol for polynomial transformations, and demonstrate its implemen…
Practical block encodings of matrix polynomials that can also be trivially controlled
Martina Nibbi, Filippo Della Chiara, Yizhi Shen +2
Quantum circuits naturally implement unitary operations on input quantum states. However, non-unitary operations can also be implemented through "block encodings", where additional…
Quantum Computing and Visualization Research Challenges and Opportunities
E. Wes Bethel, Roel Van Beeumen, Talita Perciano
Quantum computing (QC) has experienced rapid growth in recent years with the advent of robust programming environments, readily accessible software simulators and cloud-based QC ha…
Computing excited states with isometric tensor networks in two-dimensions
Alec Dektor, Runze Chi, Roel Van Beeumen +1
We present a new subspace iteration method for computing low-lying eigenpairs (excited states) of high-dimensional quantum many-body Hamiltonians with nearest neighbor interactions…
Quantum Krylov Algorithm for Szegö Quadrature
William Kirby, Yizhi Shen, Daan Camps +3
We present a quantum algorithm to evaluate matrix elements of functions of unitary operators. The method is based on calculating quadrature nodes and weights using data collected f…
Efficient LCU block encodings through Dicke states preparation
Filippo Della Chiara, Martina Nibbi, Yizhi Shen +1
With the Quantum Singular Value Transformation (QSVT) emerging as a unifying framework for diverse quantum speedups, the efficient construction of block encodings -- their fundamen…
Efficient Quantum Implementation of Dynamical Mean Field Theory for Correlated Materials
Norman Hogan, Efekan Kökcü, Thomas Steckmann +6
The accurate theoretical description of materials with strongly correlated electrons is a formidable challenge in condensed matter physics and computational chemistry. Dynamical Me…
From noisy observables to accurate ground state energies: a quantum classical signal subspace approach with denoising
Hardeep Bassi, Yizhi Shen, Harish S. Bhat +1
We propose a hybrid quantum-classical algorithm for ground state energy (GSE) estimation that remains robust to highly noisy data and exhibits low sensitivity to hyperparameter tun…
QCLAB: A Matlab Toolbox for Quantum Computing
Sophia Keip, Daan Camps, Roel Van Beeumen
We introduce QCLAB, an object-oriented MATLAB toolbox for constructing, representing, and simulating quantum circuits. Designed with an emphasis on numerical stability, efficiency,…
Inexact subspace projection methods for low-rank tensor eigenvalue problems
Alec Dektor, Peter DelMastro, Erika Ye +2
We propose inexact subspace iteration for solving high-dimensional eigenvalue problems with low-rank structure. Inexactness stems from low-rank compression, enabling efficient repr…
EHands: Quantum Protocol for Polynomial Computation on Real-Valued Encoded States
Jan Balewski, C. Pestano, Mercy G. Amankwah +3
We present EHands, a quantum-native protocol for implementing multivariable polynomial transformations on quantum processors. The protocol introduces four fundamental, reversible o…
Quantum Computing and Visualization: A Disruptive Technological Change Ahead
E. Wes Bethel, Mercy G. Amankwah, Jan Balewski +4
The focus of this Visualization Viewpoints article is to provide some background on Quantum Computing (QC), to explore ideas related to how visualization helps in understanding QC,…
Estimating Eigenenergies from Quantum Dynamics: A Unified Noise-Resilient Measurement-Driven Approach
Yizhi Shen, Daan Camps, Aaron Szasz +5
Ground state energy estimation in physical, chemical, and materials sciences is one of the most promising applications of quantum computing. In this work, we introduce a new hybrid…
Quantum-parallel vectorized data encodings and computations on trapped-ions and transmons QPUs
Jan Balewski, Mercy G. Amankwah, Roel Van Beeumen +3
Compact quantum data representations are essential to the emerging field of quantum algorithms for data analysis. We introduce two new data encoding schemes, QCrank and QBArt, whic…
Quantum pixel representations and compression for -dimensional images
Mercy G. Amankwah, Daan Camps, E. Wes Bethel +2
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular representations proposed in the recent literature, such as (I)…