112 citations · 366 across the 16 of their papers we have counts for
16 papers
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…
Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor
M. S. Moreira, G. G. Guerreschi, W. Vlothuizen +14
Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing neural networks on quantum processors faces challenges related…
Introducing the Quantum Research Kernels: Lessons from Classical Parallel Computing
A. Y. Matsuura, Timothy G. Mattson
Quantum computing represents a paradigm shift for computation requiring an entirely new computer architecture. However, there is much that can be learned from traditional classical…
A Scalable Microarchitecture for Efficient Instruction-Driven Signal Synthesis and Coherent Qubit Control
Nader Khammassi, Randy W. Morris, Shavindra Premaratne +7
Execution of quantum algorithms requires a quantum computer architecture with a dedicated quantum instruction set that is capable of supporting translation of workloads into actual…
An LLVM-based C++ Compiler Toolchain for Variational Hybrid Quantum-Classical Algorithms and Quantum Accelerators
Pradnya Khalate, Xin-Chuan Wu, Shavindra Premaratne +6
Variational algorithms are a representative class of quantum computing workloads that combine quantum and classical computing. This paper presents an LLVM-based C++ compiler toolch…
Graph Optimization Perspective for Low-Depth Trotter-Suzuki Decomposition
Albert T. Schmitz, Nicolas P. D. Sawaya, Sonika Johri +1
Hamiltonian simulation represents an important module in a large class of quantum algorithms and simulations such as quantum machine learning, quantum linear algebra methods, and m…
Variational preparation of finite-temperature states on a quantum computer
R. Sagastizabal, S. P. Premaratne, B. A. Klaver +13
The preparation of thermal equilibrium states is important for the simulation of condensed-matter and cosmology systems using a quantum computer. We present a method to prepare suc…
Entanglement Properties of Quantum Superpositions of Smooth, Differentiable Functions
Adam Holmes, A. Y. Matsuura
We present an entanglement analysis of quantum superpositions corresponding to smooth, differentiable, real-valued (SDR) univariate functions. SDR functions are shown to be scalabl…
Probing many-body localization on a noisy quantum computer
D. Zhu, S. Johri, N. H. Nguyen +5
A disordered system of interacting particles exhibits localized behavior when the disorder is large compared to the interaction strength. Studying this phenomenon on a quantum comp…
Designing high-fidelity multi-qubit gates for semiconductor quantum dots through deep reinforcement learning
Sahar Daraeizadeh, Shavindra P. Premaratne, A. Y. Matsuura
In this paper, we present a machine learning framework to design high-fidelity multi-qubit gates for quantum processors based on quantum dots in silicon, with qubits encoded in the…
Engineering the Cost Function of a Variational Quantum Algorithm for Implementation on Near-Term Devices
Shavindra P. Premaratne, A. Y. Matsuura
Variational hybrid quantum-classical algorithms are some of the most promising workloads for near-term quantum computers without error correction. The aim of these variational algo…
Enhancing a Near-Term Quantum Accelerator's Instruction Set Architecture for Materials Science Applications
Xiang Zou, Shavindra P. Premaratne, M. Adriaan Rol +7
Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply b…
Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems
Sahar Daraeizadeh, Shavindra P. Premaratne, Xiaoyu Song +2
We use machine learning techniques to design a 50 ns three-qubit flux-tunable controlled-controlled-phase gate with fidelity of >99.99% for nearest-neighbor coupled transmons in ci…
Generation of Thermofield Double States and Critical Ground States with a Quantum Computer
D. Zhu, S. Johri, N. M. Linke +6
Finite-temperature phases of many-body quantum systems are fundamental to phenomena ranging from condensed-matter physics to cosmology, yet they are generally difficult to simulate…
Impact of qubit connectivity on quantum algorithm performance
Adam Holmes, Sonika Johri, Gian Giacomo Guerreschi +2
Quantum computing hardware is undergoing rapid development from proof-of-principle devices to scalable machines that could eventually challenge classical supercomputers on specific…
Measuring the Renyi entropy of a two-site Fermi-Hubbard model on a trapped ion quantum computer
Norbert M. Linke, Sonika Johri, Caroline Figgatt +3
The efficient simulation of correlated quantum systems is the most promising near-term application of quantum computers. Here, we present a measurement of the second Renyi entropy…