activity
20182026
most citedQuantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

85 citations · 446 across the 42 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

quant-ph2023★ 1 cited

Measurement reduction for expectation values via fine-grained commutativity

Ben DalFavero, Rahul Sarkar, Jeremiah Rowland +3

We introduce a notion of commutativity between operators on a tensor product space, nominally Pauli strings on qubits, that interpolates between qubit-wise commutativity and (full)…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

quant-ph2023

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,…

cs.NI2023★ 1 cited

Open-VERSO: a vision of 5G experimentation infrastructures, hurdles and challenges

Angel Martin, Pablo Losada, Carolina Fernández +23

5G led to a digital revolution for networks by leveraging virtualisation techniques to manage software-based network functions through provided standard interfaces, which have matu…

quant-ph2023

Efficient Quantum Counting and Quantum Content-Addressable Memory for DNA similarity

Jan Balewski, Daan Camps, Katherine Klymko +1

We present QCAM, a quantum analogue of Content-Addressable Memory (CAM), useful for finding matches in two sequences of bit-strings. Our QCAM implementation takes advantage of Grov…

quant-ph2023★ 19 cited

HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware

Nicolas PD Sawaya, Daniel Marti-Dafcik, Yang Ho +13

In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. This is no less true for quantum co…

quant-ph2023★ 3 cited

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…

quant-ph2023★ 2 cited

Algebraic Compression of Free Fermionic Quantum Circuits: Particle Creation, Arbitrary Lattices and Controlled Evolution

Efekan Kökcü, Daan Camps, Lindsay Bassman Oftelie +3

Recently we developed a local and constructive algorithm based on Lie algebraic methods for compressing Trotterized evolution under Hamiltonians that can be mapped to free fermions…

quant-ph2023★ 2 cited

QCLAB++: Simulating Quantum Circuits on GPUs

Roel Van Beeumen, Daan Camps, Neil Mehta

We introduce qclab++, a light-weight, fully-templated C++ package for GPU-accelerated quantum circuit simulations. The code offers a high degree of portability as it has no externa…

quant-ph2023★ 1 cited

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…